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 Q2 COMPUTER SCIENCE, INTERDISCIPLINARY APPLICATIONS

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

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.

科学和技术的景观以其动态和不断发展的性质为特征，不断被发现、创新和范式转变所重塑。此外，科学正在经历一个显著的转变，即越来越多的跨学科合作，在这种合作中，不同领域的融合促进了对复杂问题的创新解决方案。发现新兴的科学主题是至关重要的，因为它使行业、政策制定者和创新者能够主动调整他们的战略、投资和法规。作为检测新兴技术的常用方法，文献计量学分析尽管有用，但可能会对复杂的跨学科趋势进行过度简化和/或误解。此外，仅仅依靠领域专家从科学和技术趋势中确定新兴技术可能会限制系统分析广泛信息的能力，并在解释中引入主观判断。为了克服这些缺点，在这项工作中，我们提出了一个自动化的人工智能支持框架，称为WISDOM，用于(1)使用高级主题建模和弱信号分析来检测新兴的研究主题，以及(2)为已识别的主题生成候选标签以协助专家。所提出的方法可以通过快速处理和分析大量数据，揭示隐藏的跨学科模式，提供公正的见解，从而提高检测过程的效率和客观性，帮助战略规划者和领域专家更有效地识别和跟踪与新兴主题相关的趋势。作为案例技术，我们使用2004年至2021年间发表的科学论文，评估了WISDOM在识别水下传感技术领域新兴研究及其趋势方面的表现。

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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 Q2 COMPUTER SCIENCE, INTERDISCIPLINARY APPLICATIONS

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 Q2 COMPUTER SCIENCE, INTERDISCIPLINARY APPLICATIONS

Journal of Informetrics

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

Tolga Yuret

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.

我们邀请了来自世界500强大学的经济学、政治学、心理学和社会学系的学者，列出了他们发表的前三篇论文。来自42个国家的2331名研究人员参与了这项调查。我们收集了受访者的谷歌Scholar （GS）和Scopus资料，以确定他们选择和未选择的前3位出版物。因此，我们的研究将研究人员自我评估的顶级出版物与详细的文献计量资料联系起来，使主观评估和文献计量统计之间能够进行比较。大约30%的受访者发表的政治学和社会学领域的前3名出版物没有被Scopus收录，这主要是因为其中许多是书籍或非英语作品。与平均产出相比，排名前三的出版物表现出更高的引用表现，发表在更高影响力的期刊上。然而，在自我评价排名前三的出版物中，只有40%的出版物在引用表现方面也排名前三。自我评估提供了补充文献计量方法的额外见解，有助于解决诸如覆盖范围有限、忽视当地相关研究以及某些学术领域代表性不足等问题。

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引用次数: 0

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 Q2 COMPUTER SCIENCE, INTERDISCIPLINARY APPLICATIONS

Journal of Informetrics

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

Weiye Gu, Chaoqun Ni

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.

了解大学如何为政策制定做出贡献，对于评估研究的社会影响至关重要。本研究分析了80,650份美国政策文件（2017-2022年），其中引用了295,428份美国附属学术出版物，将奥弗顿政策数据与Scopus附属记录和来自国家科学与工程统计中心的联邦研究资金联系起来。大学占所有政策引用研究的70%以上，证实了它们在循证治理中的核心作用。然而，这种影响是不平衡的：少数研究密集型机构占主导地位，而大多数大学贡献不大。在被大学引用的研究中，健康科学占最大份额，经济学、教育学和社会科学也有贡献。联邦机构比地方政府或智库更多地引用大学的研究成果，而政策的可见度在地理上集中在拥有强大研究生态系统的州。相关分析表明，生产力、联邦资金和机构声望对政策影响有很强的预测作用，而政府参与并不总是相关的。

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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 Q2 COMPUTER SCIENCE, INTERDISCIPLINARY APPLICATIONS

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

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.

随着科学领域的日益融合，协作和知识重组在塑造科学创新绩效中的作用变得复杂。本研究考察了合作和知识重组对科技创新的“弱联系”效应。利用1950年至2014年的56,847篇基因编辑出版物，我们构建了累积合作和知识网络，并生成了年度快照，以衡量共同作者和共同出现的MeSH术语之间的“实时”联系强度。我们的研究结果表明，弱合作不一定会导致非常规的（弱）知识重组，这表明仅仅连接远程合作者不足以产生破坏性的想法。发表水平回归显示，合作和知识联系强度与引文影响呈倒u型关系，峰值偏左，表明建立在低强度先前互动基础上的“一臂之长”关系比建立在最弱联系上的“一臂之长”关系更容易产生更高的引文影响。“倒u”型效应在知识重组活动中更为明显，特别是在长期引文中，说明引文成功更有可能是由知识创新驱动的，但需要长期才能获得收益。值得注意的是，弱知识重组只有在弱合作关系的陪同下才能实现最高的引用影响，弱合作关系似乎提供了合理有效组合所需的异质性专业知识。相比之下，协作和知识重组联系强度与破坏性呈u型关系，主要由强联系驱动。这表明，研究的颠覆性在很大程度上是由现有的技术轨迹塑造的，与颠覆性引用模式的长期下降很好地吻合。

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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 Q2 COMPUTER SCIENCE, INTERDISCIPLINARY APPLICATIONS

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

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.

在动态的技术环境中，持续创新变得越来越重要，然而传统的专利计量方法往往只能提供研发绩效的静态视图。本研究开发了一个双视角框架来识别“活跃的受让人”——将高度活跃与持续参与专利申请相结合的组织。我们通过基于滑动窗口的活动指数和持久性指数来实现这些维度，并进一步将它们整合到一个复合的动态强度指标中。该框架以动态能力理论为基础，既捕捉了反映在创新活动爆发中的抓住能力，也捕捉了反映在长期持续承诺中的转化能力。将这种方法应用于223名受让人的981项固态电解质USPTO专利，我们揭示了不同的创新策略：丰田汽车在多个子领域表现出长期活力，而三星电子则表现出适应性的再进入模式。这些发现强调了组织战略在稳定领导和敏捷适应之间的差异。除了实证案例，该框架还为专利计量学和信息计量学研究提供了一个可转移的工具，使政策制定者、研发管理者和学者能够更好地评估技术领先的时间动态。

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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 Q2 COMPUTER SCIENCE, INTERDISCIPLINARY APPLICATIONS

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

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.

本研究考察了同行评议与文献计量分析在减少研究评估中的性别偏见方面的有效性。利用心理学、社会学和理性选择框架的理论见解，以及意大利首次国家研究评估活动（VTR 2001-2003）的实证数据，我们对不同科学领域的同行评议分数和基于引用的指标进行了全面比较。我们的研究结果揭示了基于性别的差异对女性撰写的出版物不利的大量和一致的证据。通过有序逻辑回归分析，我们发现虽然两种评估方法都表现出性别偏见，但同行评议比基于引用的指标对女性的系统性惩罚更严重。这种差异在不同的引用窗口中仍然很明显，尽管长期的马太效应在延长的引用期间会略微增加性别差异。我们的结论是，文献计量评估虽然不是完全没有偏见，但它代表了评估研究产出的一种相对公平的选择，对机构政策和追求学术公平具有重要意义。

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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 Q2 COMPUTER SCIENCE, INTERDISCIPLINARY APPLICATIONS

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

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 Library and Information Science (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.

期刊影响因子（JIF）是学术评价的重要指标。然而，它的有效性可能会受到同一期刊内引用的高度倾斜分布的影响，这可能导致研究评估中的误解。鉴于这些问题，本研究通过对高被引论文采用不同的处理方法来评估它们对JIF值和排名结果的影响，从而检查了图书馆与信息科学（LIS）领域的期刊。为了更好地理解基于jif的评价结果，本文提出了反映期刊被引频次分布的引文集中指数（CCI）。分析发现，高被引论文在排名靠前的期刊中更为普遍，对JIF的影响较大，而某些排名靠后的期刊，其被引次数都相对较低，JIF更多的是由极少数论文主导。这些发现强调，基于jif的期刊排名应该与每个期刊中论文的被引分布结合起来解释。

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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 Q2 COMPUTER SCIENCE, INTERDISCIPLINARY APPLICATIONS

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

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.

跨学科的知识传播对于解决复杂的科学和社会问题至关重要，然而严格的学科界限往往限制了跨领域的引文流动。开放获取（OA）作为一种提高研究可见性和可及性的机制一直被提倡，但其对跨学科引文的影响仍未得到充分研究。本研究评估OA对跨学科知识传播广度的影响。利用农学领域期刊向完全开放获取转变的准自然实验（2000-2024），我们使用多层学科分类系统分析了57,000多篇文章和150万条引用记录。采用负二项回归和差中差估计，我们发现OA在主题、子领域、领域和领域层面显著拓宽了引文的学科范围。机制分析表明，OA增强了社交媒体和公共平台的传播，促进了更大的知识溢出。这些结果强调了OA在促进研究可及性和跨学科知识融合方面的制度功能。

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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 Q2 COMPUTER SCIENCE, INTERDISCIPLINARY APPLICATIONS

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

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.

国际会议在促进合作研究方面发挥着至关重要的作用，这对推动科学进步至关重要，特别是在全球挑战需要加强国际合作的情况下。特别是现场会议，使面对面的互动能够促进偶然的相遇和深入的信息交流，强调需要深思熟虑的活动设计，以最大限度地利用这些机会。然而，由于追踪参与者行为的困难，现实世界的会议互动模式仍然很难理解，潜在地模糊了与参与者属性相关的沟通差距。在这项研究中，我们使用新开发的web应用程序，对第27届国际昆虫学大会（ICE2024 KYOTO）上2,216名自选应用程序用户（总共4,041名参与者）的面对面互动动态进行了详细的可视化和量化，揭示了一些沟通差距。该应用程序提供了一个配置文件交换功能，作为面对面网络的支持，游戏化功能，生成日志，使我们能够重建一个大规模的现场通信网络。分析表明，拥有共同语言的国家对和具有相似研究领域的个人更有可能互动，而在随机混合下，学生和非学生的互动频率低于预期。此外，时间戳数据确定了交互频率特别高的会议和事件，说明了会议设置如何影响通信。日志数据提供了会议期间通信模式中以前未测量的动态和差异的详细视图。我们的方法基于参与者自愿使用应用程序，提供了一种可扩展的方法来量化网络活动，并为设计更有效和更具包容性的会议提供了有价值的见解。

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引用次数: 0