Journal of Informetrics最新文献

New indicators for capturing the balances and roles of nations in the global knowledge exchange system 掌握各国在全球知识交流体系中的平衡和作用的新指标

IF 3.5 2区管理学

Journal of Informetrics Pub Date : 2026-06-01 Epub Date: 2026-03-02 DOI: 10.1016/j.joi.2026.101790

Zhe Cao , Lin Zhang , Henrik Karlstrøm , Ronald Rousseau , Gunnar Sivertsen

{"title":"New indicators for capturing the balances and roles of nations in the global knowledge exchange system","authors":"Zhe Cao , Lin Zhang , Henrik Karlstrøm , Ronald Rousseau , Gunnar Sivertsen","doi":"10.1016/j.joi.2026.101790","DOIUrl":"10.1016/j.joi.2026.101790","url":null,"abstract":"<div><div>The assessments of national involvement in the global system for exchange of knowledge traditionally focus on each country’s active contribution in the form of scientific publications and their citation impact. The use of knowledge in the same exchange is neglected. In this study, we develop a set of indicators to measure the balance of knowledge flows by recognizing citations as bidirectional relations between citing and cited publications, and thus between countries. The indicators distinguish between local and global knowledge flows, combine analyses with and without country self-citations, and incorporate a double-fractionalized method to cover the increasing phenomenon of international co-authorships. The indicators are both dependent and independent of size, thereby allowing for a direct country comparison of the balances and roles in knowledge exchange while at the same time identifying major actors. The indicators are presented with a thorough examination of their mathematical properties and their relations with each other. Data from Web of Science spanning 2000–2023 are used to exemplify how the balance indicators may identify the different roles of nations in the global exchange of knowledge. These roles may differ among areas of research and change over time. A general trend towards globalization and increasing interdependence is detected.</div></div>","PeriodicalId":48662,"journal":{"name":"Journal of Informetrics","volume":"20 2","pages":"Article 101790"},"PeriodicalIF":3.5,"publicationDate":"2026-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147387576","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"管理学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

The impact of mentorship on the citation-based performance of graduate dissertation: A social capital perspective 导师对研究生论文引用绩效的影响：一个社会资本的视角

IF 3.5 2区管理学

Journal of Informetrics Pub Date : 2026-06-01 Epub Date: 2026-02-20 DOI: 10.1016/j.joi.2026.101781

Li Zhai , Xiangbin Yan

{"title":"The impact of mentorship on the citation-based performance of graduate dissertation: A social capital perspective","authors":"Li Zhai , Xiangbin Yan","doi":"10.1016/j.joi.2026.101781","DOIUrl":"10.1016/j.joi.2026.101781","url":null,"abstract":"<div><div>The growing global emphasis on research excellence has heightened academic attention to effective research performance management. Scientific collaboration is a crucial driver for the formation of high-impact research. However, its mechanism of action remains incompletely understood, particularly with respect to the effect of the collaboration among supervisors on the academic impact of dissertations in the context of co-supervision of graduate students. Based on the three-dimensional framework theory of social capital, this paper develops a measurement indicator system for team social capital within dissertations. Using a sample of 16,567 master's and doctoral dissertations in the field of statistics from China during 2000 to 2020, it empirically examines the mechanisms through which social capital influences citation-based performance in the context of co-supervision. The results indicate that the structural, cognitive, and relational dimensions of social capital all significantly affect citation counts. Specifically, cognitive diversity exhibits a positive effect, the strength of co-supervision relationships shows a negative effect, and structural capital demonstrates a U-shaped relationship. Furthermore, the difference in supervisors' seniority significantly moderates the relationship between structural capital and citation-based performance, whereas the moderating effects of supervisor team size and cognitive difference are not supported. This study offers empirical insights for optimizing co-supervision practices, enhancing the citation impact of dissertations, and improving graduate students training.</div></div>","PeriodicalId":48662,"journal":{"name":"Journal of Informetrics","volume":"20 2","pages":"Article 101781"},"PeriodicalIF":3.5,"publicationDate":"2026-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147387572","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"管理学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Leveraging GANs for citation intent classification and its impact on citation network analysis 利用gan进行引文意图分类及其对引文网络分析的影响

IF 3.5 2区管理学

Journal of Informetrics Pub Date : 2026-06-01 Epub Date: 2026-02-27 DOI: 10.1016/j.joi.2026.101791

Davi A. Bezerra , Filipi N. Silva , Diego R. Amancio

{"title":"Leveraging GANs for citation intent classification and its impact on citation network analysis","authors":"Davi A. Bezerra , Filipi N. Silva , Diego R. Amancio","doi":"10.1016/j.joi.2026.101791","DOIUrl":"10.1016/j.joi.2026.101791","url":null,"abstract":"<div><div>Citations play a fundamental role in the scientific ecosystem, serving as a foundation for tracking the flow of knowledge, acknowledging prior work, and assessing scholarly influence. In scientometrics, they are also central to the construction of quantitative indicators. Not all citations, however, serve the same function: some provide background, others introduce methods, or compare results. Therefore, understanding citation intent allows for a more nuanced interpretation of scientific impact. In this paper, we adopted a GAN-based method to classify citation intents. Our results revealed that the proposed method achieves competitive classification performance, closely matching state-of-the-art results with substantially fewer parameters. This demonstrates the effectiveness and efficiency of leveraging GAN architectures combined with contextual embeddings in an intent classification task. We also investigated whether filtering citation intents affects the centrality of papers in citation networks. Analyzing the network constructed from the unArXiv dataset, we found that paper rankings can be significantly influenced by citation intent. All four centrality metrics examined – degree, PageRank, closeness, and betweenness – were sensitive to the filtering of citation types. The betweenness centrality displayed the greatest sensitivity, showing substantial changes in ranking when specific citation intents were removed.</div></div>","PeriodicalId":48662,"journal":{"name":"Journal of Informetrics","volume":"20 2","pages":"Article 101791"},"PeriodicalIF":3.5,"publicationDate":"2026-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147387574","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"管理学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

A CRediT‐based quantitative study of co‐corresponding authorship: Collaboration patterns and contribution distribution 基于信用的合著作者数量研究：合作模式和贡献分布

IF 3.5 2区管理学

Journal of Informetrics Pub Date : 2026-06-01 Epub Date: 2026-02-28 DOI: 10.1016/j.joi.2026.101796

Tian-Yuan Huang , Jie Xue

{"title":"A CRediT‐based quantitative study of co‐corresponding authorship: Collaboration patterns and contribution distribution","authors":"Tian-Yuan Huang , Jie Xue","doi":"10.1016/j.joi.2026.101796","DOIUrl":"10.1016/j.joi.2026.101796","url":null,"abstract":"<div><div>As scientific research becomes increasingly collaborative and interdisciplinary, co-corresponding authorship (CCA) has gained prominence as a mechanism for sharing leadership among multiple senior contributors. Drawing on a large-scale dataset of over 94,000 publications from <em>PLOS</em> journals (2018–2022) and structured author contribution statements under the CRediT taxonomy, this study investigates the prevalence and impact of CCA, its influence on labor division within research teams, its role in fostering collaboration across different levels, and the relationship between contribution magnitude and byline order among multiple co-corresponding authors. Our results show that CCA is more common in fields characterized by intensive teamwork, and that papers with multiple co-corresponding authors exhibit significantly higher citation impact than those with a single corresponding author. CCA is also associated with broader collaboration networks, involving more authors, institutions, and regions. Internally, it facilitates more refined task allocation, allowing corresponding authors to specialize in distinct roles. Furthermore, we find that the contribution of co-corresponding authors increases with later byline positions, suggesting deviations from equal-contribution assumptions and carrying implications for authorship evaluation practices. This study highlights the need for revised authorship policies that reflect the complexity of modern scientific collaboration, and call for transparent recognition of individual contributions.</div></div>","PeriodicalId":48662,"journal":{"name":"Journal of Informetrics","volume":"20 2","pages":"Article 101796"},"PeriodicalIF":3.5,"publicationDate":"2026-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147387575","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"管理学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Empowering the next generation: How team hierarchy relates to junior researcher retention 授权下一代：团队层级如何与初级研究人员的保留相关

IF 3.5 2区管理学

Journal of Informetrics Pub Date : 2026-06-01 Epub Date: 2026-02-26 DOI: 10.1016/j.joi.2026.101789

Huimin Xu , Yi Bu , Meijun Liu , Ying Ding

{"title":"Empowering the next generation: How team hierarchy relates to junior researcher retention","authors":"Huimin Xu , Yi Bu , Meijun Liu , Ying Ding","doi":"10.1016/j.joi.2026.101789","DOIUrl":"10.1016/j.joi.2026.101789","url":null,"abstract":"<div><div>Early-career scientists are essential to driving scientific progress, yet nearly half leave academia after their first publication. While factors like team size, gender, mentorship, and institutional prestige are known to affect retention, the influence of team hierarchy on junior researchers’ career paths remains underexplored. This study examines the relationship between hierarchical structures within research teams and the retention of junior scientists, using Microsoft Academic Graph data from over 30 million publications across 19 disciplines. In this study, a team is defined as all authors of a publication with two or more authors. We define retention as a combination of active paper publishing (continue publishing), academic independence (continue publishing without depending on the same senior authors), and career progression (change institution). Team hierarchy is measured through the Gini coefficient of publication career age for all team members. We find that junior researchers in flatter teams (≤5 years of publication experience) tend to have higher retention, particularly in the social sciences and in smaller teams. These findings remain robust when accounting for diverse individual- and team-based variables and are consistent across different disciplines. These findings remain robust when accounting for diverse individual- and team-based variables and are consistent across different disciplines. However, this pattern is largely driven by selection: more capable or committed junior researchers are more likely to work in flatter teams<strong>.</strong> These findings provide insights on how team composition relates to early-career retention and can inform approaches to mentoring and collaboration that support sustainable academic careers.</div></div>","PeriodicalId":48662,"journal":{"name":"Journal of Informetrics","volume":"20 2","pages":"Article 101789"},"PeriodicalIF":3.5,"publicationDate":"2026-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147387573","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"管理学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

The effect of gender diversity on scientific team impact: A team roles perspective 性别多样性对科学团队影响的影响：团队角色视角

IF 3.5 2区管理学

Journal of Informetrics Pub Date : 2026-03-01 Epub Date: 2026-01-08 DOI: 10.1016/j.joi.2025.101766

Yi Zhao , Yongjun Zhu , Donghun Kim , Yuzhuo Wang , Heng Zhang , Chao Lu , Chengzhi Zhang

{"title":"The effect of gender diversity on scientific team impact: A team roles perspective","authors":"Yi Zhao , Yongjun Zhu , Donghun Kim , Yuzhuo Wang , Heng Zhang , Chao Lu , Chengzhi Zhang","doi":"10.1016/j.joi.2025.101766","DOIUrl":"10.1016/j.joi.2025.101766","url":null,"abstract":"<div><div>The influence of gender diversity on the success of scientific teams is of great interest to academia. However, prior findings remain inconsistent, and most studies operationalize diversity in aggregate terms, overlooking internal role differentiation. This limitation obscures a more nuanced understanding of how gender diversity shapes team impact. In particular, the effect of gender diversity across different team roles remains poorly understood. To this end, we define a scientific team as all coauthors of a paper and measure team impact through five-year citation counts. Using author contribution statements, we classified members into leadership and support roles. Drawing on more than 130,000 papers from PLOS journals, most of which are in biomedical-related disciplines, we employed multivariable regression to examine the association between gender diversity in these roles and team impact. Furthermore, we apply a threshold regression model to investigate how team size moderates this relationship. The results show that (1) the relationship between gender diversity and team impact follows an inverted U-shape for both leadership and support groups; (2) teams with an all-female leadership group and an all-male support group achieve higher impact than other team types. Interestingly, (3) the effect of leadership-group gender diversity is significantly negative for small teams but becomes positive and statistically insignificant in large teams. In contrast, the estimates for support-group gender diversity remain significant and positive, regardless of team size.</div></div>","PeriodicalId":48662,"journal":{"name":"Journal of Informetrics","volume":"20 1","pages":"Article 101766"},"PeriodicalIF":3.5,"publicationDate":"2026-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145939136","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"管理学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Comments on the ideological and philosophical foundations of bibliometrics by Gorraiz, J. 评Gorraiz， J.文献计量学的思想哲学基础

IF 3.5 2区管理学

Journal of Informetrics Pub Date : 2026-03-01 Epub Date: 2025-12-26 DOI: 10.1016/j.joi.2025.101764

F. Pacheco-Torgal

引用次数: 0

Cover effects on social attention: Evidence from Cell Biology, Multidisciplinary Chemistry, and Applied Physics 覆盖效应对社会注意力的影响：来自细胞生物学、多学科化学和应用物理学的证据

IF 3.5 2区管理学

Journal of Informetrics Pub Date : 2026-03-01 Epub Date: 2026-01-22 DOI: 10.1016/j.joi.2026.101772

Yezhu Wang , Yundong Xie , Qing Ye , Lu Guo , Rongting Zhou

{"title":"Cover effects on social attention: Evidence from Cell Biology, Multidisciplinary Chemistry, and Applied Physics","authors":"Yezhu Wang , Yundong Xie , Qing Ye , Lu Guo , Rongting Zhou","doi":"10.1016/j.joi.2026.101772","DOIUrl":"10.1016/j.joi.2026.101772","url":null,"abstract":"<div><div>Social media has transformed scholarly communication by extending research visibility beyond citations to broader public engagement. This study investigates whether cover papers attract higher social attention, as measured by altmetrics. Drawing on 1.46 million papers (2012–2024) from the disciplines of Cell Biology, Multidisciplinary Chemistry, and Applied Physics, we apply coarsened exact matching and regression models to assess the effect of cover status on altmetric indicators. The results reveal that cover papers consistently receive higher Altmetric Attention Scores than comparable non-cover papers. This effect is stronger in high-impact and open access journals (particularly in Multidisciplinary Chemistry and Applied Physics), and in journals with embedded social media plugins. To better capture the immediate dissemination and public attention surrounding research, we propose the News and Social Media Attention Score (NSAS)—a composite metric aggregating mentions from news outlets, blogs, Twitter, and Facebook. Results using the NSAS confirm the robustness of the main findings, and analysis of specific metrics indicates that Twitter is the primary source of increased attention. These findings provide valuable insights for journal editors, researchers, and policymakers seeking to enhance the societal visibility and impact of scientific research.</div></div>","PeriodicalId":48662,"journal":{"name":"Journal of Informetrics","volume":"20 1","pages":"Article 101772"},"PeriodicalIF":3.5,"publicationDate":"2026-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"146037839","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"管理学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Networks of knowledge: hiring and collaboration networks in economics and physics departments 知识网络：经济学和物理系的雇佣和协作网络

IF 3.5 2区管理学

Journal of Informetrics Pub Date : 2026-03-01 Epub Date: 2026-02-03 DOI: 10.1016/j.joi.2026.101777

Deok-Young Lee , Hyungsoo Woo , Jae-Suk Yang

{"title":"Networks of knowledge: hiring and collaboration networks in economics and physics departments","authors":"Deok-Young Lee , Hyungsoo Woo , Jae-Suk Yang","doi":"10.1016/j.joi.2026.101777","DOIUrl":"10.1016/j.joi.2026.101777","url":null,"abstract":"<div><div>Faculty hiring decisions critically influence knowledge circulation and institutional hierarchies in academia, yet how institutional prestige shapes these patterns across different disciplinary contexts remains poorly understood. This study investigates how institutional prestige drives faculty mobility and collaboration patterns in economics and physics departments, asking: How does prestige operate through different mechanisms across disciplinary contexts to influence hiring networks? Using network analysis and Exponential Random Graph Models (ERGMs), we analyse faculty hiring and collaboration data from 7731 economics faculty across 193 institutions and 8763 physics faculty across 187 institutions in the top 200 QS-ranked universities. Our findings reveal significant disciplinary variations in prestige-based hiring mechanisms. Physics departments exhibit strong downward recruitment patterns driven by citation-based research metrics, with institutions systematically hiring from those with higher citation impact. Economics departments prioritise broader institutional and employer reputation in hiring decisions, reflecting the discipline’s emphasis on policy influence. Both disciplines show systematic faculty flows from central to peripheral institutions, though economics exhibits more pronounced hierarchical clustering in collaborative relationships than physics. These findings reveal that prestige operates through discipline-specific pathways, with important implications for understanding academic stratification.</div></div>","PeriodicalId":48662,"journal":{"name":"Journal of Informetrics","volume":"20 1","pages":"Article 101777"},"PeriodicalIF":3.5,"publicationDate":"2026-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"146188575","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"管理学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Estimating citation gaps by team size: Evidence from a cross-disciplinary analysis 根据团队规模估算引文缺口：来自跨学科分析的证据

IF 3.5 2区管理学

Journal of Informetrics Pub Date : 2026-03-01 Epub Date: 2026-02-11 DOI: 10.1016/j.joi.2026.101780

Hwiyoung P. Lee , Chelsea Zhang , Manuel S. González Canché , Yoosun Park , Ram A. Cnaan

{"title":"Estimating citation gaps by team size: Evidence from a cross-disciplinary analysis","authors":"Hwiyoung P. Lee , Chelsea Zhang , Manuel S. González Canché , Yoosun Park , Ram A. Cnaan","doi":"10.1016/j.joi.2026.101780","DOIUrl":"10.1016/j.joi.2026.101780","url":null,"abstract":"<div><div>Citations in academia, once a respectful nod to intellectual predecessors, have become central metrics of influence, achievement, and recognition, particularly within elite academic circles. As collaborative research becomes more prevalent, shifting authorship dynamics raise questions about how solo and small-team contributions are valued in a system increasingly oriented toward multi-author publications. Although prior work documents a positive association between team size and citation outcomes, few studies quantify the magnitude of this relationship with sufficient granularity or assess how it varies across disciplines. Using Scopus bibliometric data, we analyze 417,201 English-language articles published in 2014 across eight disciplines—four in the social sciences (economics, education, social work, sociology) and four in STEM (bioengineering, chemistry, computer science, physics)—controlling for detailed article- and journal-level characteristics, including journal fixed effects. We find that solo-authored papers consistently receive fewer citations and that larger teams are generally associated with higher citation counts. Across both social sciences and STEM, the citation gap between solo- and multi-authored articles typically ranges from 0.1 to 0.2 standard deviations per article. The shape of the relationship differs by field: in the social sciences, returns to coauthorship follow an inverted-U, whereas in STEM fields, citations tend to increase more steadily with team size. These field-specific estimates can inform the development and fine-tuning of evaluation metrics, helping build more robust assessment frameworks.</div></div>","PeriodicalId":48662,"journal":{"name":"Journal of Informetrics","volume":"20 1","pages":"Article 101780"},"PeriodicalIF":3.5,"publicationDate":"2026-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"146188576","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"管理学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0