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Societal and scientific impact of policy research: A large-scale empirical study of some explanatory factors using Altmetric and Overton J. Informetr. (IF 3.7) Pub Date : 2024-04-13 Pablo Dorta-González, Alejandro Rodríguez-Caro, María Isabel Dorta-González
This study investigates how scientific research influences policymaking by analyzing citations of research articles in policy documents (policy impact) for nearly 125,000 articles across 434 public policy journals. We reveal distinct citation patterns between policymakers and other stakeholders like researchers, journalists, and the public. News and blog mentions, social media engagement, and open
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Comparing semantic representation methods for keyword analysis in bibliometric research J. Informetr. (IF 3.7) Pub Date : 2024-04-05 Guo Chen, Siqi Hong, Chenxin Du, Panting Wang, Zeyu Yang, Lu Xiao
Semantic representation methods play a crucial role in text mining tasks. Although numerous approaches have been proposed and compared in text mining research, the comparison of semantic representation methods specifically for publication keywords in bibliometric studies has received limited attention. This lack of practical evidence makes it challenging for researchers to select suitable methods to
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The fading of status bias during the open peer review process J. Informetr. (IF 3.7) Pub Date : 2024-04-03 Zhuanlan Sun, Ka Lok Pang, Yiwei Li
The growing number of preprints allows reviewers to identify the authors’ identities prior to the peer review process. Yet, it remains unclear whether the preprint exposure of prestigious authors to reviewers is correlated with review features. Here, we employed the linear regression model to examine this relationship. By collecting open peer review reports of 2,059 papers published in in 2019 within
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Scientific impact analysis: Unraveling the link between linguistic properties and citations J. Informetr. (IF 3.7) Pub Date : 2024-03-29 Priya Porwal, Manoj H. Devare
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Influence of interdisciplinarity of scientific papers on the durability of citation diffusion: A perspective from citation discontinuance J. Informetr. (IF 3.7) Pub Date : 2024-03-27 Jianhua Hou, Hao Li, Yang Zhang
Whether interdisciplinarity leads to greater success in research remains a question that is still unresolved. Investigating the impact of interdisciplinarity of scientific papers on the durability of their citation diffusion is of significant importance. Combining the concept of discontinuance in the theory of innovation diffusion and citation trajectory scenarios, this study proposes the definition
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A new approach to computing the distances between research disciplines based on researcher collaborations and similarity measurement techniques J. Informetr. (IF 3.7) Pub Date : 2024-03-25 Bram Vancraeynest, Hoang-Son Pham, Amr Ali-Eldin
The measurement of distance between research disciplines involves various approaches, with a focus on publication citation analysis. However, calculating discipline distance requires more than just selecting relevant information; it also involves choosing suitable quantification methods and similarity measures. In this paper, we introduce a novel approach to measuring the distance between research
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Halt the ongoing decoupling and reboot US-China scientific collaboration J. Informetr. (IF 3.7) Pub Date : 2024-03-16 Li Tang
This study reveals that, following bilateral reduced international visitation and academic exchange, Sino-American scientific collaboration is positioned at a turning point in a declining course. American international students originating from China have declined by nearly 22 %, and American students studying in China plummeted to 1.8 % of the number in 2018–2019. US-China interdependence in scientific
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International mobility matters: Research collaboration and scientific productivity J. Informetr. (IF 3.7) Pub Date : 2024-03-13 Jiangwei Gu, Xuelian Pan, Shuxin Zhang, Jiaoyu Chen
In this study, we examine the impact of government-sponsored international mobility on researchers’ scientific collaboration and productivity. To identify causal effects, we use a longitudinal dataset covering internationally mobile doctoral students sponsored by the China Scholarships Council for non-degree studies and non-mobile doctoral students while implementing a combined propensity-score matching
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Identifying knowledge evolution in computer science from the perspective of academic genealogy J. Informetr. (IF 3.7) Pub Date : 2024-03-10 Zhongmeng Fu, Yuan Cao, Yong Zhao
Academic genealogy (AG) provides valuable insights into the transmission of knowledge from mentors to mentees, revealing the evolution of knowledge within the academic community. This study explores the intricate dynamics of knowledge evolution within academic genealogies, utilizing on a dataset comprising 16,852 computer science researchers, 613,277 papers, and 11,988 mentorship relationships. By
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A complement to the novel disruption indicator based on knowledge entities J. Informetr. (IF 3.7) Pub Date : 2024-03-08 Tong Tong, Wanru Wang, Fred Y. Ye
Following the proposal of disruption index () for detecting scientific breakthroughs based on citation patterns, a recently introduced knowledge entity-based disruption () index incorporates both citation patterns and knowledge elements. In this study, we investigate the applications and limitations of the series indicators by employing two datasets from different fields within the Web of Science database
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The internal dynamics of journals’ h-cores over time J. Informetr. (IF 3.7) Pub Date : 2024-03-07 Y, v, e, s, , F, a, s, s, i, n
The objective of this article is to study, empirically, the evolution of the h-indexes of academic journals and the internal dynamics of their h-core and h²-core over time. The h-indexes describe a situation at a given moment in time; they are dynamic indicators.
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Early identification of breakthrough research from sleeping beauties using machine learning J. Informetr. (IF 3.7) Pub Date : 2024-02-26 Xin Li, Xiaodi Ma, Ye Feng
Breakthrough research is groundbreaking and transformative scientific research that can lead to new frontiers and even trigger substantial changes in the scientific paradigm. Early identification of breakthrough research is crucial for scientists, R&D experts, and policymakers. "Sleeping Beauty in Science" is a category of papers characterized as "delayed recognition", which is considered as the crucial
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Modeling citation concentration through a mixture of Leimkuhler curves J. Informetr. (IF 3.7) Pub Date : 2024-02-23 Emilio Gómez-Déniz, Pablo Dorta-González
When a graphical representation of the cumulative percentage of total citations to articles, ordered from most cited to least cited, is plotted against the cumulative percentage of articles, we obtain a Leimkuhler curve. In this study, we noticed that standard Leimkuhler functions may not be sufficient to provide accurate fits to various empirical informetrics data. Therefore, we introduce a new approach
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Impact of gender composition of academic teams on disruptive output J. Informetr. (IF 3.7) Pub Date : 2024-02-22 Ming-Ze Zhang, Tang-Rong Wang, Peng-Hui Lyu, Qi-Mei Chen, Ze-Xia Li, Eric W.T. Ngai
Intergender collaboration is becoming increasingly common in academia. However, the impact of team gender structures on innovation remains unknown. Using data from the American Physical Society, this study applies the disruption index to measure the relationship between gender composition and innovation performance. The results show that compared with single-gender teams, moderate inter-gender collaboration
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When career-boosting is on the line: Equity and inequality in grant evaluation, productivity, and the educational backgrounds of Marie Skłodowska-Curie Actions individual fellows in social sciences and humanities J. Informetr. (IF 3.7) Pub Date : 2024-02-14 Tamás Tóth, Márton Demeter, Sándor Csuhai, Zsolt Balázs Major
Prestigious academic scholarships are highly competitive, so using appropriate evaluation criteria is important. In this study, we analyzed 259 Marie Skłodowska-Curie Actions (MSCA) grantees in social sciences and humanities to see their composition in terms of productivity, educational background, mobility, and gender. Based on quantitative content analysis, linear regressions, and network analyses
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A multiple k-means cluster ensemble framework for clustering citation trajectories J. Informetr. (IF 3.7) Pub Date : 2024-02-13 Joyita Chakraborty, Dinesh K. Pradhan, Subrata Nandi
Citation maturity time varies for different articles. However, the impact of all articles is measured in a fixed window (2-5 years). Clustering their citation trajectories helps understand the knowledge diffusion process and reveals that not all articles gain immediate success after publication. Moreover, clustering trajectories is necessary for paper impact recommendation algorithms. It is a challenging
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Does open data have the potential to improve the response of science to public health emergencies? J. Informetr. (IF 3.7) Pub Date : 2024-02-10 Xiaowei Ma, Hong Jiao, Yang Zhao, Shan Huang, Bo Yang
Open data was recognized as essential to prevent and treat pandemic infection through sharing, disseminating, and using relevant information. This study explores how and to what extent open data influenced the response of science to such emergencies from a quantitative perspective. Based on the genetic datasets for viruses associated with Ebola, SARS, MERS, and COVID-19, we analyze the efficiency of
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Does the handling time of scientific papers relate to their academic impact and social attention? Evidence from Nature, Science, and PNAS J. Informetr. (IF 3.7) Pub Date : 2024-02-08 Yundong Xie, Qiang Wu, Yezhu Wang, Li Hou, Yuanyuan Liu
The time required for peer review is a crucial factor for researchers when deciding where to submit their manuscripts, as it is also considered an important predictor of paper impact. This paper analyses the handling time of academic papers at the individual paper level, focusing on three key indicators: editorial handling time, processing handling time, and total handling time. Unlike previous studies
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Rank analysis of most cited publications, a new approach for research assessments J. Informetr. (IF 3.7) Pub Date : 2024-02-01 Alonso Rodríguez-Navarro, Ricardo Brito
Citation metrics are the best tools for research assessments. However, current metrics may be misleading in research systems that pursue simultaneously different goals, such as to push the boundaries of knowledge or incremental innovations, because their publications have different citation distributions. We estimate the contribution to the progress of knowledge by studying only a limited number of
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Entropy, heterogeneity, and their impact on technology progress J. Informetr. (IF 3.7) Pub Date : 2024-02-01 Wonchang Hur
This study seeks to determine whether the entropy of patent assignees and the heterogeneity of patented technology within a technology domain positively contribute to the domain's influence on others. This question is motivated by the diversity-performance debates that have been explored across diverse disciplines. Three entropy indices are considered: Shannon, Herfindahl, and Lorenz indices. In addition
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Assessing the stability of collaboration networks: A structural cohesion analysis perspective J. Informetr. (IF 3.7) Pub Date : 2024-01-30 Dayong Zhang, Hao Men, Zhaoxin Zhang
In collaboration networks, a stable structure can lead to trust and enhance group members’ ties, in turn reducing conflicts and promoting communication and cooperation. Therefore, network stability assessment, especially for collaboration networks, is essential for facilitating the achievement of group goals. However, most previous studies have considered only a fundamental understanding of network
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“I'd like to publish in Q1, but there's no Q1 to be found”: Study of journal quartile distributions across subject categories and topics J. Informetr. (IF 3.7) Pub Date : 2024-01-29 Denis Kosyakov, Vladimir Pislyakov
The choice to focus on a journal's impact factor, or its quartile, in authoritative rankings, when deciding where to publish research results can be driven by various reasons. These may include personal prestige, enhancing the appeal of a CV, the desire to increase publication-related rewards, meeting the conditions of scientific funds, or fulfilling qualification requirements. While these considerations
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Textual features of peer review predict top-cited papers: An interpretable machine learning perspective J. Informetr. (IF 3.7) Pub Date : 2024-01-25 Zhuanlan Sun
Peer review is crucial in improving the quality and reliability of scientific research. However, the mechanisms through which peer review practices ensure papers become top-cited papers (TCPs) after publication are not well understood. In this study, by collecting a data set containing 13, 066 papers published between 2016 and 2020 from Nature communications with open peer review reports, we aim to
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Dubious cross-national affiliations obscure the assessment of international research collaboration J. Informetr. (IF 3.7) Pub Date : 2024-01-18 Chung-Huei Kuan, Dar-Zen Chen, Mu-Hsuan Huang
Assessing international research collaboration through cross-national papers is a common practice but may be compromised by dubious affiliations lacking clear evidence of substantial collaboration. In this study, we analyze cross-national papers indexed in SCIE, SSCI, and A&HCI databases, published between 2012 and 2021, and affiliated respectively with pairs of four nations: the US, China, the United
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Heterogeneity of national accounting systems, world-class universities and financial resources: What are the links? J. Informetr. (IF 3.7) Pub Date : 2024-01-19 Alessandro Avenali, Cinzia Daraio, Simone Di Leo, Joanna Wolszczak-Derlacz
This study investigates the relationship between university financial resources, applied accounting systems, and the place of a university in the Shanghai Ranking. We find a strong relationship between the financial resources under the control of a world-class university and the position of that university in the highest tier of the global ranking. We propose a model (available online) to predict a
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Validity and bias of indicators of international collaboration: A theoretical analysis with an empirical study of Ukraine-Russia-United States and China-United States J. Informetr. (IF 3.7) Pub Date : 2024-01-18 Lawrence Smolinsky, Seungwon Yang
We examine three indicators that give a relative measure of collaborations between countries and introduce a fourth indicator. Of the three established indicators, the Asymmetric Observed to Expected Ratio (AOER-indicator) and the symmetric Observed to Expected Ratio (OER-indicator) have received criticism for some specific theoretical situations. The AOER fails as both a meaningful statistic and an
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Data labeling through the centralities of co-reference networks improves the classification accuracy of scientific papers J. Informetr. (IF 3.7) Pub Date : 2024-01-15 Zheng Xie, Yiqin Lv, Yiping Song, Qi Wang
Labeled data are fed to learning models of classification tasks to help them learn to classify unlabeled data. Massive papers are hinged by citations to a few influential papers, much smaller than the total size, which, if labeled, would cause the spread of label information to the most of the papers. We utilized the co-reference relationship between papers since the references cited by a paper dataset
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Gini-stable Lorenz curves and their relation to the generalised Pareto distribution J. Informetr. (IF 3.7) Pub Date : 2024-01-15 Lucio Bertoli-Barsotti, Marek Gagolewski, Grzegorz Siudem, Barbara Żogała-Siudem
We introduce an iterative discrete information production process where we can extend ordered normalised vectors by new elements based on a simple affine transformation, while preserving the predefined level of inequality, G, as measured by the Gini index. Then, we derive the family of empirical Lorenz curves of the corresponding vectors and prove that it is stochastically ordered with respect to both
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Authorship regulations in performance-based funding systems and publication behaviour – A case study of German medical faculties J. Informetr. (IF 3.7) Pub Date : 2024-01-14 Valeria Aman, Peter van den Besselaar
This article investigates whether German medical faculties with different authorship regulations show different publication patterns. In 2004, the German Research Foundation (DFG) suggested a formula consisting of third-party funding, the cumulated JIF of publications and a fractional counting of publications to counteract the increasing inflation of author counts in medical publications. Whereas the
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Disruptive development path measurement for emerging technologies based on the patent citation network J. Informetr. (IF 3.7) Pub Date : 2024-01-13 Xiaoli Wang, Wenting Liang, Xuanting Ye, Lingdi Chen, Yun Liu
Studying disruptive innovation development paths for emerging technologies helps trace and grasp key core technologies development, promoting innovation and development in emerging technologies and industries. This paper measures the innovation development path for emerging technology, including: (1) improving the triple citation network and quantifying disruptive measurement by designing a technological
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Do scholars' collaborative tendencies impact the quality of their publications? A generalized propensity score matching analysis J. Informetr. (IF 3.7) Pub Date : 2024-01-11 Qiuling Liu, Lei Guo, Yiping Sun, Linlin Ren, Xinhua Wang, Xiaohui Han
Recently, the research on the cooperation relationship between authors has received widespread attention. However, existing studies still have the following limitations: 1) They mainly study the impact of author collaboration patterns by correlation analysis without considering the existence of confounding factors. 2) Methods based on causal analysis primarily focus on exploring the impact of different
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Scientists’ disciplinary characteristics and collaboration behaviour under the convergence paradigm: A multilevel network perspective J. Informetr. (IF 3.7) Pub Date : 2024-01-11 Jing Li, Qian Yu
The convergence paradigm underlines the importance of integrating multiple disciplines through collaboration. However, the crucial question of how scientists' disciplinary characteristics influence scientific collaboration remains unresolved. Using an exponential random graph model for multilevel networks, this study provides insights into the impact of scientists' disciplinary characteristics on their
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Corrigendum to “Understanding the domain development through a word status observation model” [Journal of Informetrics 17 (2023) 1–19/101395] J. Informetr. (IF 3.7) Pub Date : 2024-01-11 Tongyang Zhang, Ran Sun, Julia Fensel, Andrew Yu, Yi Bu, Jian Xu
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Exploration, exploitation and funding success: Evidence from junior scientists supported by the Chinese Young Scientists Fund J. Informetr. (IF 3.7) Pub Date : 2024-01-06 Liying Guo, Yang Wang, Meiling Li
Scientists’ choice of research questions is often shaped by an “essential tension” between exploring new or risky ideas and exploiting conventional wisdoms. However, we still lack understanding regarding the association between exploration, exploitation, and funding success, which is a crucial aspect of career development for junior scientists in today’s highly competitive environment. In this study
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The moderating role of personal characteristics of authors in the publications’ quality for quantity trade-off J. Informetr. (IF 3.7) Pub Date : 2024-01-07 Giovanni Abramo, CiriacoAndrea D'Angelo, Flavia Di Costa
The rise of quantitative research evaluations has led researchers to adopt publication strategies that enable the pursuit of entry and career progression within institutions. Depending on the performance evaluation criteria adopted, researchers emphasize more on publication quantity, impact, prestige of hosting journals, or seek a combination. What we investigate in this paper is the nature of the
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Does open identity of peer reviewers positively relate to citations? J. Informetr. (IF 3.7) Pub Date : 2024-01-05 Li Hou, Qiang Wu, Yundong Xie
Referees play an essential role in the peer review process, significantly contributing to improving the quality of scholarly publications. In the context that the Open Science movement is gaining increasing attention and support, the open identity of peer reviewers has become a crucial aspect requiring more relevant research. To enhance the comprehension of the relatively unexplored phenomenon of publishing
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Multidimensional indicators to identify emerging technologies: Perspective of technological knowledge flow J. Informetr. (IF 3.7) Pub Date : 2023-12-27 Man Jiang, Siluo Yang, Qiang Gao
The identification of emerging technologies (ETs) is pivotal for advancing technological innovation. However, current methods fail to sufficiently clarify ETs' innovation mechanisms and lack a consistent perspective to integrate the five attributes proposed by Rotolo. This paper presents an innovative term-level framework to identify and comprehend ETs through the perspective of technological knowledge
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Dependency, reciprocity, and informal mentorship in predicting long-term research collaboration: A co-authorship matrix-based multivariate time series analysis J. Informetr. (IF 3.7) Pub Date : 2023-12-22 Yongjun Zhu, Donghun Kim, Ting Jiang, Yi Zhao, Jiangen He, Xinyi Chen, Wen Lou
In this study, we examine the roles of dependency, reciprocity, and informal mentorship in the prediction of long-term research collaboration in five disciplines. We use co-authorship matrix-based multivariate time series features and interpretable machine learning to train long-term collaboration prediction models and interpret the feature importance of trained models. Overall, long-term research
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International mobility characteristics, effects of, and effects on elite scientists J. Informetr. (IF 3.7) Pub Date : 2023-12-20 Fang Han, Ruhao Zhang, Shengtai Zhang, Junpeng Yuan
Understanding the international flows of elite scientists is critical to science and talent policies. In this study, using the Scopus data of 78,815 top h-index scientists between 1921 and 2020, we investigate the characteristics of the international mobility of elite scientists, including geographic features, mobility types, and disciplinary characteristics. Our results reveal an increasing number
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Openness to international collaboration and tie strength in enhancing knowledge creation J. Informetr. (IF 3.7) Pub Date : 2023-12-16 Jing Tu
This study aims to understand whether and under what condition openness to international collaboration enhances knowledge creation. How the configuration of openness, domestic ties, and foreign ties of an institution affects its knowledge creation is examined in egocentric networks. Using fixed-effects panel data models, we find that a positive association exists between openness and knowledge creation
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Revision and academic impact: A case study of bioRxiv preprint papers J. Informetr. (IF 3.7) Pub Date : 2023-12-16 Wen Peng, Mingliang Yue, Mingyue Sun, Tingcan Ma
Scientific papers are the essential carrier for disseminating knowledge in the scientific communication system. It is believed that in addition to deepening the scientific attainments in one's research field, the writing and revision of the manuscripts are also very important. This paper tries to quantitatively describe the revision process and the relationship between revision and academic impact
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Mathematical informetrics: Hirsch-type equations and bundles J. Informetr. (IF 3.7) Pub Date : 2023-12-08 Leo Egghe
We define Hirsch-type equations and bundles being common generalizations of the defining equations of e.g. Hirsch-bundles, g-bundles, and Kosmulski-bundles. In this way, common properties of all these bundles can be proved. The main result proves basic inequalities for these bundles. They form the basis for convergence results as well as for criteria for these bundles to be impact bundles.
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Exploring the scientific impact of negative results J. Informetr. (IF 3.7) Pub Date : 2023-12-08 Dan Tian, Xiao Hu, Yuchen Qian, Jiang Li
Negative results are a routine part of the scientific research journey, yet they often receive insufficient attention in scientific publications. In this study, we investigate the scientific impact of negative results by comparing the citations and citation context between negative and positive results. Specifically, we compared 159 negative result papers from three journals: Journal of Negative Results
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Relationship between the principle of least effort and the average cost of information in a zipfian context J. Informetr. (IF 3.7) Pub Date : 2023-12-06 Abdellatif Agouzal, Thierry Lafouge, Marc Bertin
From an informetrics perspective, we discuss the relationship between the Least Effort Principle and information cost minimisation, and discuss the implications for Zipf's law. We propose a mathematical proof of a theorem demonstrating that if one minimises the average cost per unit of information, the Least Effort Principle (LEP) will be verified regardless of the effort function chosen. We then show
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Unveiling the impact and dual innovation of funded research J. Informetr. (IF 3.7) Pub Date : 2023-12-04 Alex J. Yang
In the relentless pursuit of scientific advancement, comprehending the profound impact and innovation nature inherent in funded research projects assumes paramount significance. To illuminate this matter, I delve into the realm of research supported by the National Institutes of Health (NIH) and the National Science Foundation (NSF). The evaluative framework encompasses a spectrum of metrics, including
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Delayed citation impact of interdisciplinary research J. Informetr. (IF 3.7) Pub Date : 2023-11-30 Yang Zhang, Yang Wang, Haifeng Du, Shlomo Havlin
Interdisciplinary research increasingly fuels innovation, and is a key input for future breakthroughs. Yet the timing of when interdisciplinary research achieves its highest citation impact remains unclear. Here, we use the time of a paper to reach its citation peak to quantify citation dynamics, and examine its relationship with paper interdisciplinarity. Using large scale publication datasets spanning
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Enhancing semantic text similarity with functional semantic knowledge (FOP) in patents J. Informetr. (IF 3.7) Pub Date : 2023-11-14 Hao Teng, Nan Wang, Hongyu Zhao, Yingtong Hu, Haitao Jin
The semantic text similarity (STS) estimation between patents is a critical issue for the patent portfolio analysis. Current methods such as keywords, co-word analysis and even the Subject-Action-Object (SAO) algorithms, are not quite reasonable for the patent similarity calculation due to the lack of fine-grained semantic knowledge, “property-parameter” features and flexible “functional or non-functional”
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An automatic and association-based procedure for hierarchical publication subject categorization J. Informetr. (IF 3.7) Pub Date : 2023-11-11 Cristina Urdiales, Eduardo Guzmán
Subject categorization of scientific publications, i.e., journals, book series or conference proceedings, has become a main concern in academia, as publication impact and ranking are considered a basic criterion to evaluate paper quality. Publishers usually propose their own categorization, but they often include only their own publications and their categories might not be coherent with other proposals
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Quantifying gender imbalance in East Asian academia: Research career and citation practice J. Informetr. (IF 3.7) Pub Date : 2023-11-07 Kazuki Nakajima, Ruodan Liu, Kazuyuki Shudo, Naoki Masuda
Gender imbalance in academia has been confirmed in terms of a variety of indicators, and its magnitude often varies from country to country. Europe and North America, which cover a large fraction of research workforce in the world, have been the main geographical regions for research on gender imbalance in academia. However, the academia in East Asia, which accounts for a substantial fraction of research
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Towards firm-specific technology opportunities: A rule-based machine learning approach to technology portfolio analysis J. Informetr. (IF 3.7) Pub Date : 2023-11-03 Youngjin Seol, Seunghyun Lee, Cheolhan Kim, Janghyeok Yoon, Jaewoong Choi
Despite the substantial contributions of many studies on firm-specific technology opportunity analysis (TOA), there is a lack of understanding of the technology portfolios of organizations and actors of technology innovation activities. The study proposes a new firm-specific TOA approach using graph representation, rule-based machine learning, and index analysis. First, organizations’ technology portfolios
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Scientific creativity patterns in scholars’ academic careers: Evidence from PubMed J. Informetr. (IF 3.7) Pub Date : 2023-11-01 Weiyi Ao, Dongqing Lyu, Xuanmin Ruan, Jiang Li, Ying Cheng
Scientific creativity is a key aspect of scientific advancement and academic career success. This study investigated the patterns of scholars’ scientific creativity, represented by the evolution of the disruption index (D index) of the scholars’ papers throughout their careers. We constructed a time-series dataset of 10,049 scholars with 779,190 corresponding articles published from 1965 to 2015. The
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Empirical demonstration of the Matthew effect in scientific research careers J. Informetr. (IF 3.7) Pub Date : 2023-10-31 Yurij L. Katchanov, Yulia V. Markova, Natalia A. Shmatko
The Matthew effect qualitatively describes the social phenomenon that the impact and recognition of well-known scientists for their new accomplishments are relatively overpriced by the scientific community when compared to the similar output of researchers without fame or status. We quantify the manifestation of this phenomenon in scientific research careers. For this purpose, using a mixed survey-plus-bibliometrics
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How to motivate a reviewer with a present bias to work harder J. Informetr. (IF 3.7) Pub Date : 2023-10-30 J.A. García, J.J. Montero-Parodi, Rosa Rodriguez-Sánchez, J. Fdez-Valdivia
Reviewers with a present bias focus on the here and now, placing more importance on immediate rewards than on future intentions and benefits. In this paper, we are going to address two related research questions: First, can a reviewer's motivation to work hard be increased by using a higher evaluation goal? Second, would a reviewer be more willing to accept a higher evaluation goal if the review process
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Publications during COVID-19 times: An unexpected overall increase J. Informetr. (IF 3.7) Pub Date : 2023-10-22 Ronald Rousseau, Carlos Garcia-Zorita, Elías Sanz-Casado
The goal of this investigation is to find out the role of external influences, such as COVID-19, on research production. We used the Web of Science to collect data and compared expected data, based on past performance, with actually observed data. We observed that the number of articles and reviews, published in 2021, has increased, even more than we expected. This increase is the largest for the broad
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How to configure intellectual capital of research teams for triggering scientific breakthroughs: Exploratory study in the field of gene editing J. Informetr. (IF 3.7) Pub Date : 2023-10-20 Yaxue Ma, Zhichao Ba, Haiping Zhao, Jianjun Sun
Considerable research has focused on finding the optimum solution to reveal the role of intellectual capital in scientific breakthroughs, ignoring the fact that all roads lead to Rome. To this end, this study aims to explore the configuration of intellectual capital—comprising human and social capital—within research teams to trigger scientific breakthroughs. By identifying research teams of scientific
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Impact of COVID-19 on Journal Impact Factor J. Informetr. (IF 3.7) Pub Date : 2023-10-19 Shahadat Uddin, Arif Khan, Haohui Lu
Research related to COVID-19 has grown significantly in recent years and dominated health-related publications. Data-driven explorations, such as analysing the quality of COVID-19 research across journals, how the journals prioritised emerging topics and how their prominence has changed during this time, are critical to understanding the scientific community, especially for prospective researchers
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Nobel begets Nobel in economics J. Informetr. (IF 3.7) Pub Date : 2023-10-16 Richard S.J. Tol
I construct the professor-student network for laureates of and candidates for the Nobel Prize in Economics. I study the effect of proximity to previous Nobelists on winning the Nobel Prize. Conditional on being Nobel-worthy, students and grandstudents of Nobel laureates are significantly less likely to win. Professors and fellow students of Nobel Prize winners, however, are significantly more likely
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Quantifying knowledge synchronization with the network-driven approach J. Informetr. (IF 3.7) Pub Date : 2023-09-27 Jisung Yoon, Jinseo Park, Jinhyuk Yun, Woo-Sung Jung
Humans acquire and accumulate knowledge through language usage and eagerly exchange their knowledge for advancement. Although geographical barriers had previously limited communication, the emergence of information technology has opened new avenues for knowledge exchange. However, it is unclear which communication pathway is dominant in the 21st century. Here, we explore the dominant path of knowledge
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The k-step h-index in citation networks at the paper, author, and institution levels J. Informetr. (IF 3.7) Pub Date : 2023-09-23 Alex Jie Yang, Linwei Wu, Qi Zhang, Hao Wang, Sanhong Deng
The evaluation of scientific impact plays a crucial role in assessing research contributions. In this study, we introduce the concept of the k-step h-index and investigate its applicability in citation networks at different levels, including papers, authors, and institutions. By incorporating higher generations of citation information, the k-step h-index provides a comprehensive and nuanced measure