Journal of Informetrics最新文献_第2页

WISDOM: An AI-powered framework for emerging research detection using weak signal analysis and advanced topic modelling WISDOM：使用弱信号分析和高级主题建模的新兴研究检测的ai驱动框架

IF 3.5 2区管理学

Journal of Informetrics Pub Date : 2026-03-01 Epub Date: 2025-12-12 DOI: 10.1016/j.joi.2025.101759

Ashkan Ebadi , Alain Auger , Yvan Gauthier

{"title":"WISDOM: An AI-powered framework for emerging research detection using weak signal analysis and advanced topic modelling","authors":"Ashkan Ebadi , Alain Auger , Yvan Gauthier","doi":"10.1016/j.joi.2025.101759","DOIUrl":"10.1016/j.joi.2025.101759","url":null,"abstract":"<div><div>The landscape of science and technology is characterized by its dynamic and evolving nature, constantly reshaped by discoveries, innovations, and paradigm shifts. Moreover, science is undergoing a remarkable shift towards increasing interdisciplinary collaboration, where the convergence of diverse fields fosters innovative solutions to complex problems. Detecting emerging scientific topics is paramount as it enables industries, policymakers, and innovators to adapt their strategies, investments, and regulations proactively. As the common approach for detecting emerging technologies, despite being useful, bibliometric analyses may suffer from oversimplification and/or misinterpretation of complex interdisciplinary trends. In addition, relying solely on domain experts to pinpoint emerging technologies from science and technology trends might restrict the ability to systematically analyze extensive information and introduce subjective judgments into the interpretations. To overcome these drawbacks, in this work, we present an automated artificial intelligence-enabled framework, called WISDOM, for (1) detecting emerging research themes using advanced topic modelling and weak signal analysis, and (2) generating candidate labels for identified themes to assist experts. The proposed approach can assist strategic planners and domain experts in more effectively recognizing and tracking trends related to emerging topics by swiftly processing and analyzing vast volumes of data, uncovering hidden cross-disciplinary patterns, and offering unbiased insights, thereby enhancing the efficiency and objectivity of the detection process. As the case technology, we assess WISDOM's performance in identifying emerging research as well as its trends, in the field of underwater sensing technologies using scientific papers published between 2004 and 2021.</div></div>","PeriodicalId":48662,"journal":{"name":"Journal of Informetrics","volume":"20 1","pages":"Article 101759"},"PeriodicalIF":3.5,"publicationDate":"2026-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145718862","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

Corrigendum to “BiblioMerge: A Python-based automated tool to merge WoS and Scopus bibliographic data, compatible with Biblioshiny, BibExcel, VOSviewer, SciMAT and ScientoPy” [Journal of Informetrics, Volume 20, Issue 1, 2026, 1-21, 101770] “BiblioMerge：一个基于python的自动工具，用于合并WoS和Scopus书目数据，与Biblioshiny， BibExcel, VOSviewer， SciMAT和ScientoPy兼容”[j] .信息计量学报，第20卷，第1期，2026,1- 21,101770]

IF 3.5 2区管理学

Journal of Informetrics Pub Date : 2026-03-01 Epub Date: 2026-02-17 DOI: 10.1016/j.joi.2026.101782

David Diez-Junguitu , Miguel Á. Peña-Cerezo

引用次数: 0

Assessing scientific output through self-evaluation: Evidence from four social science fields 通过自我评价评估科学产出：来自四个社会科学领域的证据

IF 3.5 2区管理学

Journal of Informetrics Pub Date : 2026-03-01 Epub Date: 2025-12-13 DOI: 10.1016/j.joi.2025.101757

Tolga Yuret

{"title":"Assessing scientific output through self-evaluation: Evidence from four social science fields","authors":"Tolga Yuret","doi":"10.1016/j.joi.2025.101757","DOIUrl":"10.1016/j.joi.2025.101757","url":null,"abstract":"<div><div>We asked academics from the economics, political science, psychology, and sociology departments of the top 500 universities to state their top 3 publications. 2331 researchers who work in 42 countries responded to the survey. We collected the respondents’ Google Scholar (GS) and Scopus profiles to identify the publications which they did and did not select as their top 3 publications. Therefore, our study links researchers’ self-evaluated top publications with detailed bibliometric profiles, enabling a comparison between subjective assessments and bibliometric statistics. Around 30 % of respondents’ top 3 publications in political science and sociology are not indexed in Scopus, largely because many are books or non-English works. The top 3 publications demonstrate greater citation performance and are published in higher-impact journals compared to the average output. However, only 40 % of the publications identified as top 3 in self-evaluations also rank among the top 3 by citation performance. Self-evaluations offer additional insights that complement bibliometric measures, helping to address issues such as limited coverage, neglect of locally relevant research, and underrepresentation of certain academic fields.</div></div>","PeriodicalId":48662,"journal":{"name":"Journal of Informetrics","volume":"20 1","pages":"Article 101757"},"PeriodicalIF":3.5,"publicationDate":"2026-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145750314","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}

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Universities as central actors in evidence-based policymaking in the US 大学在美国循证决策中的核心角色

IF 3.5 2区管理学

Journal of Informetrics Pub Date : 2026-03-01 Epub Date: 2025-12-11 DOI: 10.1016/j.joi.2025.101761

Weiye Gu, Chaoqun Ni

{"title":"Universities as central actors in evidence-based policymaking in the US","authors":"Weiye Gu, Chaoqun Ni","doi":"10.1016/j.joi.2025.101761","DOIUrl":"10.1016/j.joi.2025.101761","url":null,"abstract":"<div><div>Understanding how universities contribute to policymaking is crucial for assessing the societal impact of research. This study analyzes 80,650 U.S. policy documents (2017–2022) that cite 295,428 US-affiliated academic publications, linking Overton policy data with Scopus affiliation records and federal research funding from the National Center for Science and Engineering Statistics. Universities account for over 70 % of all policy-cited research, confirming their central role in evidence-informed governance. Yet this influence is uneven: a small number of research-intensive institutions dominate, while most universities contribute modestly. Health sciences account for the largest share of university-cited research, with additional contributions in economics, education, and social sciences. Federal agencies cite university research more heavily than local governments or think tanks, and policy visibility is geographically concentrated in states with strong research ecosystems. Correlation analyses indicate that productivity, federal funding, and institutional prestige strongly predict policy influence, whereas government involvement is not consistently associated.</div></div>","PeriodicalId":48662,"journal":{"name":"Journal of Informetrics","volume":"20 1","pages":"Article 101761"},"PeriodicalIF":3.5,"publicationDate":"2026-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145718861","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

Weak ties matter for scientific innovation: The dual perspectives of knowledge recombination network and collaboration network 弱联系影响科学创新：知识重组网络与合作网络的双重视角

IF 3.5 2区管理学

Journal of Informetrics Pub Date : 2026-03-01 Epub Date: 2026-02-12 DOI: 10.1016/j.joi.2026.101779

Keye Wu , Rhodri Ivor Leng , Wanfang Hou

{"title":"Weak ties matter for scientific innovation: The dual perspectives of knowledge recombination network and collaboration network","authors":"Keye Wu , Rhodri Ivor Leng , Wanfang Hou","doi":"10.1016/j.joi.2026.101779","DOIUrl":"10.1016/j.joi.2026.101779","url":null,"abstract":"<div><div>As scientific fields increasingly converge, the roles of collaboration and knowledge recombination in shaping scientific innovation performance have become complex. This study examines ‘weak tie’ effects of both collaboration and knowledge recombination on scientific innovation. Drawing on 56,847 genetic editing publications from 1950 to 2014, we constructed cumulative collaboration and knowledge networks and generated annual snapshots to measure “real-time” tie strength between co-authors and co-occurring MeSH terms. Our results show that weak collaborations do not necessarily lead to unconventional (weak) knowledge recombination, suggesting that simply bridging distant collaborators is insufficient to generate disruptive ideas. Publication-level regressions show that both collaboration and knowledge tie strengths have inverted U-shaped relationships with citation impact, with left-skewed peaks, suggesting that “arm’s-length” ties, which are built on low-intensity previous interaction rather than the weakest ties tend to experience higher citation impact. The inverted U-shape effect is more pronounced in knowledge recombination activities, especially in long-term citations, indicating citation success is more likely driven by knowledge-based innovation but needs the long term to gain benefits. Notably, weak knowledge recombination achieved the highest citation impact only when accompanied by weak collaborative ties, which appear to provide the heterogeneous expertise required for plausible and effective combinations. In contrast, collaboration and knowledge recombination tie strength show a U-shaped relationship with disruptiveness, driven primarily by strong ties. This suggests that research disruptiveness is largely shaped by existing technological trajectories, aligning well with the long-term decline in disruptive citation patterns.</div></div>","PeriodicalId":48662,"journal":{"name":"Journal of Informetrics","volume":"20 1","pages":"Article 101779"},"PeriodicalIF":3.5,"publicationDate":"2026-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"146188590","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

Tracking vibrant assignees in technological innovation: A patent-based dual perspective of activity and persistence 跟踪技术创新中活跃的受让人：基于专利的活动和持续的双重视角

IF 3.5 2区管理学

Journal of Informetrics Pub Date : 2026-03-01 Epub Date: 2025-12-16 DOI: 10.1016/j.joi.2025.101763

Dar-Zen Chen , You-Fu Lee , Huei-Ru Dong , Chun-Chieh Wang

{"title":"Tracking vibrant assignees in technological innovation: A patent-based dual perspective of activity and persistence","authors":"Dar-Zen Chen , You-Fu Lee , Huei-Ru Dong , Chun-Chieh Wang","doi":"10.1016/j.joi.2025.101763","DOIUrl":"10.1016/j.joi.2025.101763","url":null,"abstract":"<div><div>Sustained innovation is increasingly critical in dynamic technological environments, yet conventional patentometric measures often provide only static views of R&D performance. This study develops a dual-lens framework to identify “vibrant assignees”—organizations that combine high activity with persistent engagement in patenting. We operationalize these dimensions through a sliding-window–based Activity Index and Persistence Index, and further integrate them into a composite Vibrant Intensity indicator. Grounded in Dynamic Capabilities Theory, the framework captures both seizing capabilities, reflected in bursts of inventive activity, and transforming capabilities, reflected in sustained commitment over time. Applying this approach to 981 USPTO patents on solid-state electrolytes (2002–2021) across 223 assignees, we reveal divergent innovation strategies: Toyota Motor demonstrates long-term vibrancy across multiple subfields, while Samsung Electronics illustrates adaptive re-entry patterns. These findings highlight how organizational strategies differ between stable leadership and agile adaptation. Beyond the empirical case, the framework offers a transferable tool for patentometric and informetric studies, enabling policymakers, R&D managers, and scholars to better evaluate the temporal dynamics of technological leadership.</div></div>","PeriodicalId":48662,"journal":{"name":"Journal of Informetrics","volume":"20 1","pages":"Article 101763"},"PeriodicalIF":3.5,"publicationDate":"2026-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145798703","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

Sex bias in peer review and citation practices: Implications for research evaluation 同行评议和引文实践中的性别偏见：对研究评价的影响

IF 3.5 2区管理学

Journal of Informetrics Pub Date : 2026-03-01 Epub Date: 2025-12-18 DOI: 10.1016/j.joi.2025.101762

Giovanni Abramo , Ciriaco Andrea D’Angelo

{"title":"Sex bias in peer review and citation practices: Implications for research evaluation","authors":"Giovanni Abramo , Ciriaco Andrea D’Angelo","doi":"10.1016/j.joi.2025.101762","DOIUrl":"10.1016/j.joi.2025.101762","url":null,"abstract":"<div><div>This study examines the effectiveness of peer review versus bibliometric analysis in reducing sex bias in research evaluations. Drawing on theoretical insights from psychological, sociological, and rational choice frameworks, as well as empirical data from Italy’s first national research assessment exercise (VTR 2001–2003), we conduct a comprehensive comparison between peer-review scores and citation-based metrics across various scientific fields. Our findings reveal substantial and consistent evidence of gender-based disparities disadvantaging female-authored publications. Through ordered logistic regression analyses, we demonstrate that while both evaluation methods exhibit sex bias, peer review systematically penalizes women more severely than citation-based metrics. This disparity remains evident across varying citation windows, despite a long-term Matthew effect that slightly increases sex disparities over extended citation periods. We conclude that bibliometric evaluations, though not entirely free from bias, represent a relatively fairer alternative for assessing research output, holding crucial implications for institutional policy and the pursuit of academic equity.</div></div>","PeriodicalId":48662,"journal":{"name":"Journal of Informetrics","volume":"20 1","pages":"Article 101762"},"PeriodicalIF":3.5,"publicationDate":"2026-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145798702","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

How highly cited papers affect LIS journal impact factor? An empirical study 高被引论文如何影响美国期刊影响因子？实证研究

IF 3.5 2区管理学

Journal of Informetrics Pub Date : 2026-03-01 Epub Date: 2026-01-25 DOI: 10.1016/j.joi.2026.101771

Xiaojuan Liu , Nannan Xiang , Mu-hsuan Huang

{"title":"How highly cited papers affect LIS journal impact factor? An empirical study","authors":"Xiaojuan Liu , Nannan Xiang , Mu-hsuan Huang","doi":"10.1016/j.joi.2026.101771","DOIUrl":"10.1016/j.joi.2026.101771","url":null,"abstract":"<div><div>The Journal Impact Factor (JIF) is a predominant indicator in academic evaluation. However, its validity may be compromised by the highly skewed distribution of citations within the same journal, which can lead to misinterpretations in research assessment. In light of these concerns, this study examines journals in the field of <em>Library and Information Science</em> (LIS) by applying different treatments of highly cited papers to evaluate their influence on JIF values and ranking outcomes. To enhance comprehension of JIF-based evaluation results, the Citation Concentration Index (CCI) is proposed, which reflects the distribution of citation counts among the papers in a journal. The analysis reveals that highly cited papers are more prevalent in top-ranked journals and exert a substantial influence on JIF, while for certain lower-ranked journals, the citation counts are all relatively low, and their JIFs are more dominated by a very small number of papers. These findings underscore that JIF-based journal rankings should be interpreted in conjunction with the citation distribution of papers within each journal.</div></div>","PeriodicalId":48662,"journal":{"name":"Journal of Informetrics","volume":"20 1","pages":"Article 101771"},"PeriodicalIF":3.5,"publicationDate":"2026-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"146078366","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

Does open access promote interdisciplinary knowledge flow? A Quasi-Natural experiment of journal transitions to fully OA in agronomy 开放获取是否促进了跨学科的知识流动？农学期刊向全OA转型的准自然实验

IF 3.5 2区管理学

Journal of Informetrics Pub Date : 2026-03-01 Epub Date: 2026-01-10 DOI: 10.1016/j.joi.2026.101768

Xianwen Wang, Pengfei Jia, Weixi Xie

{"title":"Does open access promote interdisciplinary knowledge flow? A Quasi-Natural experiment of journal transitions to fully OA in agronomy","authors":"Xianwen Wang, Pengfei Jia, Weixi Xie","doi":"10.1016/j.joi.2026.101768","DOIUrl":"10.1016/j.joi.2026.101768","url":null,"abstract":"<div><div>Interdisciplinary knowledge diffusion is critical for addressing complex scientific and societal problems, yet rigid disciplinary boundaries often constrain citation flows across fields. Open Access (OA) has been advocated as a mechanism to improve research visibility and accessibility, but its effect on interdisciplinary citation remains insufficiently examined. This study evaluates the impact of OA on the breadth of interdisciplinary knowledge dissemination. Exploiting a quasi-natural experiment stemming from journal transitions to fully OA in the field of agronomy (2000–2024), we analyze over 57,000 articles and 1.5 million citing records using a multilayer disciplinary classification system. Employing negative binomial regressions and difference-in-differences estimations, we find that OA significantly broadens the disciplinary scope of citations at the topic, subfield, field, and domain levels. Mechanism analysis indicates that OA enhances dissemination via social media and public platforms, facilitating greater knowledge spillovers. These results emphasize OA’s institutional function in advancing both research accessibility and interdisciplinary knowledge convergence.</div></div>","PeriodicalId":48662,"journal":{"name":"Journal of Informetrics","volume":"20 1","pages":"Article 101768"},"PeriodicalIF":3.5,"publicationDate":"2026-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145939085","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

Breaking barriers in academic communication: Insights from a novel face-to-face interaction tracking app at an international conference 打破学术交流的障碍：来自一款新型面对面互动跟踪应用在一次国际会议上的见解

IF 3.5 2区管理学

Journal of Informetrics Pub Date : 2026-03-01 Epub Date: 2026-01-03 DOI: 10.1016/j.joi.2025.101767

Kiyotaka Yabe , Mamoru Takata , Kenji Matsuura

{"title":"Breaking barriers in academic communication: Insights from a novel face-to-face interaction tracking app at an international conference","authors":"Kiyotaka Yabe , Mamoru Takata , Kenji Matsuura","doi":"10.1016/j.joi.2025.101767","DOIUrl":"10.1016/j.joi.2025.101767","url":null,"abstract":"<div><div>International conferences play a crucial role in fostering collaborative research, which is essential for advancing scientific progress, especially as global challenges demand increased international collaboration. On-site conferences, in particular, enable face-to-face interactions that foster serendipitous encounters and in-depth information exchange, underscoring the need for thoughtful event designs that maximize such opportunities. However, real-world patterns of conference interactions remain poorly understood due to the difficulty of tracking participant behavior, potentially obscuring communication gaps associated with participants’ attributes. In this study, using a newly developed web application, we obtained a detailed visualization and quantification of the face-to-face interaction dynamics among 2,216 self-selected app users (out of 4,041 total participants) at the 27th International Congress of Entomology (ICE2024 KYOTO), revealing several communication gaps. The application offered a profile exchange function as a supportive, gamified feature for face-to-face networking, generating logs that allowed us to reconstruct a large-scale network of on-site communications. Analysis showed that country pairs sharing a common language and individuals with similar research fields were more likely to interact, while students and non-students interacted less frequently than expected under random mixing. Additionally, timestamp data identified sessions and events with particularly high interaction frequencies, illustrating how conference settings may influence communication. The log data provide a detailed view of the previously unmeasured dynamics and disparities in communication patterns during the conference. Our method, based on participants’ voluntary use of the application, offers a scalable approach to quantifying networking activities and provides valuable insights for designing more effective and inclusive conferences.</div></div>","PeriodicalId":48662,"journal":{"name":"Journal of Informetrics","volume":"20 1","pages":"Article 101767"},"PeriodicalIF":3.5,"publicationDate":"2026-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145939083","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