Pub Date : 2026-01-17DOI: 10.1016/j.joi.2026.101770
David Diez-Junguitu , Miguel Á. Peña-Cerezo
Academic research relies predominantly on two main scientific publication databases: Web of Science and Scopus. Combining these databases is highly recommended, but it is extremely difficult and arduous (frequently a manual task) owing to their different structures and duplicate records. To streamline this operation, BiblioMerge, a custom Python-based application, has been developed. BiblioMerge allows researchers to combine data from both sources, efficiently remove duplicates, and perform author name normalisation and disambiguation, thus overcoming the limitations observed in some bibliometric programmes. In addition, BiblioMerge provides valuable assistance in the management of keywords and cited references, facilitating normalisation or grouping as required. The end result is a single, consolidated dataset in four different file formats that is directly compatible with several bibliometric software applications, including Biblioshiny, BibExcel, VOSviewer, ScientoPy, and SciMAT. It is freely accessible through the web and does not require the installation of any specific software for its use.
学术研究主要依赖于两个主要的科学出版数据库：Web of Science和Scopus。强烈建议组合这些数据库，但由于它们的结构不同和重复记录，这是非常困难和艰巨的（通常是手动任务）。为了简化此操作，开发了一个基于python的自定义应用程序BiblioMerge。BiblioMerge允许研究人员结合两个来源的数据，有效地去除重复，并执行作者姓名规范化和消歧，从而克服了在一些文献计量程序中观察到的局限性。此外，BiblioMerge在关键字和引用参考文献的管理方面提供了宝贵的帮助，促进规范化或按需分组。最终的结果是一个单一的，统一的数据集在四种不同的文件格式，是直接兼容几个文献计量软件应用程序，包括Biblioshiny， BibExcel, VOSviewer, ScientoPy，和SciMAT。它可以通过网络免费访问，并且不需要安装任何特定的软件即可使用。
{"title":"BiblioMerge: A Python-based automated tool to merge WoS and Scopus bibliographic data, compatible with Biblioshiny, BibExcel, VOSviewer, SciMAT and ScientoPy","authors":"David Diez-Junguitu , Miguel Á. Peña-Cerezo","doi":"10.1016/j.joi.2026.101770","DOIUrl":"10.1016/j.joi.2026.101770","url":null,"abstract":"<div><div>Academic research relies predominantly on two main scientific publication databases: Web of Science and Scopus. Combining these databases is highly recommended, but it is extremely difficult and arduous (frequently a manual task) owing to their different structures and duplicate records. To streamline this operation, BiblioMerge, a custom Python-based application, has been developed. BiblioMerge allows researchers to combine data from both sources, efficiently remove duplicates, and perform author name normalisation and disambiguation, thus overcoming the limitations observed in some bibliometric programmes. In addition, BiblioMerge provides valuable assistance in the management of keywords and cited references, facilitating normalisation or grouping as required. The end result is a single, consolidated dataset in four different file formats that is directly compatible with several bibliometric software applications, including Biblioshiny, BibExcel, VOSviewer, ScientoPy, and SciMAT. It is freely accessible through the web and does not require the installation of any specific software for its use.</div></div>","PeriodicalId":48662,"journal":{"name":"Journal of Informetrics","volume":"20 1","pages":"Article 101770"},"PeriodicalIF":3.5,"publicationDate":"2026-01-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"146037842","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}
Pub Date : 2026-01-10DOI: 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.
{"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":"2026-01-10","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}
Pub Date : 2026-01-10DOI: 10.1016/j.joi.2026.101769
Hiran H. Lathabai
Despite the presence of skewness (i) that induces the possibility of existence of famous 80/20 law or others (like 90/10, 70/30, etc.), and (ii) that contributes to the relevance of indicators like h-type indicators, the law-indicator compliance in IPPs remained almost unexplored until recently. A recent exploration on the ability of the major existing basic h-type indicators to reflect the 80/20 rule found h-index as the best in that regard. Though considering 20 % of T (total sources/publications) or 0.2T as an indicator, provided a slightly better alternative, the need for a better indicator was also reported. In this work, we devise such an indicator, namely the λ-index, by using a generalized law viz. law wherein 80/20, 90/10, 70/30, etc., are special cases. The λ-index corresponds to the largest fraction of sources, ρ=λ/T, that have produced approximately (1−ρ) of all items. Interesting informetric properties of , including its linear dependence on T (total publications) that makes it remarkable and unique, are proven and discussed in comparison with other major base indicators. -index is found to exhibit indicator-law compliance for 80/20 law better than all the basic h-type indicators and 0.2T indicator in multiple datasets. Possibilities for deciding the governing specific law (like 70/30 or 80/20) in a field using is also discussed. Upon sensitivity analysis on profile of an author with redistribution of citations (to simulate a law change), is found to be better than other indicators in maintaining law-indicator compliance, hinting its importance to be used even in profiles having high volatility.
{"title":"λ-index: A new indicator based on generalized law in Information Production Processes","authors":"Hiran H. Lathabai","doi":"10.1016/j.joi.2026.101769","DOIUrl":"10.1016/j.joi.2026.101769","url":null,"abstract":"<div><div>Despite the presence of skewness (i) that induces the possibility of existence of famous 80/20 law or others (like 90/10, 70/30, etc.), and (ii) that contributes to the relevance of indicators like <em>h</em>-type indicators, the law-indicator compliance in IPPs remained almost unexplored until recently. A recent exploration on the ability of the major existing basic <em>h</em>-type indicators to reflect the 80/20 rule found <em>h</em>-index as the best in that regard. Though considering 20 % of <em>T</em> (total sources/publications) or 0.2<em>T</em> as an indicator, provided a slightly better alternative, the need for a better indicator was also reported. In this work, we devise such an indicator, namely the <em>λ</em>-index, by using a generalized law viz. <span><math><mrow><mo>(</mo><mrow><mn>1</mn><mo>−</mo><mi>ρ</mi></mrow><mo>)</mo><mo>/</mo><mi>ρ</mi></mrow></math></span> law wherein 80/20, 90/10, 70/30, etc., are special cases. The λ-index corresponds to the largest fraction of sources, ρ=λ/T, that have produced approximately (1−ρ) of all items. Interesting informetric properties of <span><math><mi>λ</mi></math></span>, including its linear dependence on <em>T</em> (total publications) that makes it remarkable and unique, are proven and discussed in comparison with other major base indicators. <span><math><mi>λ</mi></math></span>-index is found to exhibit indicator-law compliance for 80/20 law better than all the basic <em>h</em>-type indicators and 0.2<em>T</em> indicator in multiple datasets. Possibilities for deciding the governing specific law (like 70/30 or 80/20) in a field using <span><math><mi>ρ</mi></math></span> is also discussed. Upon sensitivity analysis on profile of an author with redistribution of citations (to simulate a law change), <span><math><mi>λ</mi></math></span> is found to be better than other indicators in maintaining law-indicator compliance, hinting its importance to be used even in profiles having high volatility.</div></div>","PeriodicalId":48662,"journal":{"name":"Journal of Informetrics","volume":"20 1","pages":"Article 101769"},"PeriodicalIF":3.5,"publicationDate":"2026-01-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145977641","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}
Pub Date : 2026-01-09DOI: 10.1016/j.joi.2025.101758
Yunhao You, Nian Liu, Qian Yu
The effect of strong and weak ties on innovation in social networks has been established in the fields of technology and products, but this impact deserves more attention in the fields of knowledge and scientific innovation. To investigate the correlation between strong and weak ties and innovation in scientific collaboration, we propose a novel method for measuring tie strength on a temporal cumulative cooperative network. Based on this new method, we quantified the tie strength and innovation across 209,720 articles in the fields of quantum information and synthetic biology in the Web of Science from 2008 to 2017, and analyzed their relationships. The research results show that innovation increases as the tie strength decreases, and the growth rate of innovation becomes faster as the tie strength further decreases. Furthermore, among the 109,880 samples with tie strength below 0.3, those scientific collaboration with a common national background are more likely to generate breakthrough ideas. In summary, in knowledge creation, we reiterate the primacy of weak ties and highlight the importance of intra-regional scientific cooperation.
强弱关系对社会网络创新的影响在技术和产品领域已经确立，但这种影响在知识和科技创新领域更值得关注。为了研究科学合作中强弱联系与创新之间的关系，我们提出了一种测量时间累积合作网络中联系强度的新方法。基于该方法，我们对2008 - 2017年Web of Science中量子信息和合成生物学领域的209720篇文章的联系强度和创新进行了量化，并分析了它们之间的关系。研究结果表明：创新随绑扎强度的降低而增加，且随着绑扎强度的进一步降低，创新的增长速度更快。此外，在纽带强度小于0.3的109,880个样本中，具有共同国家背景的科学合作更容易产生突破性的想法。总之，在知识创造方面，我们重申弱联系的首要地位，并强调区域内科学合作的重要性。
{"title":"Weak ties in scientific cooperation contribute to scientific innovation","authors":"Yunhao You, Nian Liu, Qian Yu","doi":"10.1016/j.joi.2025.101758","DOIUrl":"10.1016/j.joi.2025.101758","url":null,"abstract":"<div><div>The effect of strong and weak ties on innovation in social networks has been established in the fields of technology and products, but this impact deserves more attention in the fields of knowledge and scientific innovation. To investigate the correlation between strong and weak ties and innovation in scientific collaboration, we propose a novel method for measuring tie strength on a temporal cumulative cooperative network. Based on this new method, we quantified the tie strength and innovation across 209,720 articles in the fields of quantum information and synthetic biology in the Web of Science from 2008 to 2017, and analyzed their relationships. The research results show that innovation increases as the tie strength decreases, and the growth rate of innovation becomes faster as the tie strength further decreases. Furthermore, among the 109,880 samples with tie strength below 0.3, those scientific collaboration with a common national background are more likely to generate breakthrough ideas. In summary, in knowledge creation, we reiterate the primacy of weak ties and highlight the importance of intra-regional scientific cooperation.</div></div>","PeriodicalId":48662,"journal":{"name":"Journal of Informetrics","volume":"20 1","pages":"Article 101758"},"PeriodicalIF":3.5,"publicationDate":"2026-01-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145939084","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}
Pub Date : 2026-01-08DOI: 10.1016/j.joi.2025.101766
Yi Zhao , Yongjun Zhu , Donghun Kim , Yuzhuo Wang , Heng Zhang , Chao Lu , Chengzhi Zhang
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.
{"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":"2026-01-08","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}
Pub Date : 2026-01-03DOI: 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.
{"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":"2026-01-03","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
IF 3.5 2区 管理学Q2 COMPUTER SCIENCE, INTERDISCIPLINARY APPLICATIONS
Pub Date : 2025-12-26DOI: 10.1016/j.joi.2025.101764
F. Pacheco-Torgal
Juan Gorraiz’s (2025) paper presents a metaphorical and conceptually rich examination of the ideological and philosophical foundations of bibliometrics, emphasizing their symbolic, heuristic, and interpretive roles in scholarly communication. While aligned with responsible research assessment initiatives such as DORA and the Leiden Manifesto, the paper lacks practical guidance, operational frameworks, and empirical evidence. Studies show that well-calibrated citation metrics are cost-efficient, predictive, and can complement peer review. Portuguese research assessments reveal that experts rely implicitly on metrics even when formally prohibited, highlighting tensions between normative principles and practice. Hybrid evaluation models that integrate bibliometrics with expert judgment better capture the multidimensional nature of scientific excellence, balancing efficiency, transparency, and ethical responsibility. Gorraiz’s work stimulates reflection but requires operational grounding to guide policy effectively.
Juan Gorraiz（2025）的论文对文献计量学的思想和哲学基础进行了隐喻性和概念性的丰富考察，强调了它们在学术交流中的象征、启发式和解释性作用。虽然与DORA和Leiden宣言等负责任的研究评估计划保持一致，但该论文缺乏实践指导、操作框架和经验证据。研究表明，校准良好的引文指标具有成本效益、预测性，可以补充同行评议。葡萄牙的研究评估显示，即使在正式禁止的情况下，专家们也会暗中依赖指标，这突显了规范原则与实践之间的紧张关系。结合文献计量学和专家判断的混合评估模型更好地捕捉了科学卓越的多维性，平衡了效率、透明度和伦理责任。Gorraiz的工作激发了人们的思考，但需要操作基础来有效地指导政策。
{"title":"Comments on the ideological and philosophical foundations of bibliometrics by Gorraiz, J.","authors":"F. Pacheco-Torgal","doi":"10.1016/j.joi.2025.101764","DOIUrl":"10.1016/j.joi.2025.101764","url":null,"abstract":"<div><div>Juan Gorraiz’s (2025) paper presents a metaphorical and conceptually rich examination of the ideological and philosophical foundations of bibliometrics, emphasizing their symbolic, heuristic, and interpretive roles in scholarly communication. While aligned with responsible research assessment initiatives such as DORA and the Leiden Manifesto, the paper lacks practical guidance, operational frameworks, and empirical evidence. Studies show that well-calibrated citation metrics are cost-efficient, predictive, and can complement peer review. Portuguese research assessments reveal that experts rely implicitly on metrics even when formally prohibited, highlighting tensions between normative principles and practice. Hybrid evaluation models that integrate bibliometrics with expert judgment better capture the multidimensional nature of scientific excellence, balancing efficiency, transparency, and ethical responsibility. Gorraiz’s work stimulates reflection but requires operational grounding to guide policy effectively.</div></div>","PeriodicalId":48662,"journal":{"name":"Journal of Informetrics","volume":"20 1","pages":"Article 101764"},"PeriodicalIF":3.5,"publicationDate":"2025-12-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145841396","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}
Pub Date : 2025-12-18DOI: 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.
{"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":"2025-12-18","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}
Pub Date : 2025-12-16DOI: 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.
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