Journal of Informetrics最新文献_第3页

Weak ties in scientific cooperation contribute to scientific innovation 科技合作的薄弱环节有利于科技创新

IF 3.5 2区管理学

Journal of Informetrics Pub Date : 2026-03-01 Epub Date: 2026-01-09 DOI: 10.1016/j.joi.2025.101758

Yunhao You, Nian Liu, Qian Yu

{"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":"2026-03-01","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}

引用次数: 0

Author position ratio (APR): a simple complementary bibliometric descriptor of authorship patterns 作者位置比（APR）：作者身份模式的简单补充文献计量描述符

IF 3.5 2区管理学

Journal of Informetrics Pub Date : 2026-03-01 Epub Date: 2026-01-30 DOI: 10.1016/j.joi.2026.101776

Valentí Rull

{"title":"Author position ratio (APR): a simple complementary bibliometric descriptor of authorship patterns","authors":"Valentí Rull","doi":"10.1016/j.joi.2026.101776","DOIUrl":"10.1016/j.joi.2026.101776","url":null,"abstract":"<div><div>Assessing an individual researcher’s contribution using single-number citation metrics is challenging, especially in the context of increasingly multi-authored publications. Existing indices, whether simple or composite, often overlook authorship patterns and provide limited insight into each author’s actual involvement in research and publication tasks. Attempts to standardize credit allocation, such as the CRediT taxonomy, rely on self-reported information and are prone to subjectivity, while position-weighted citation metrics typically depend on arbitrary assumptions, discipline-specific conventions, or computationally intensive modeling. This paper introduces the author position ratio (APR), a simple, semiquantitative, and field-independent descriptor specifically designed to complement citation-based indicators by capturing career-long authorship patterns. The APR classifies each scholar according to the relative prevalence of single/first, intermediate, and last authorship—corresponding to author, collaborator, and manager strategies—and expresses the dominant pattern through an alphanumeric code and a ternary graphical representation. The method is illustrated through hypothetical examples and applied to real data from the 500 paleontologists included in the 2025 Stanford ranking of highly influential scientists. The results show that APR categories reveal substantial heterogeneity in authorship strategies that remains hidden in traditional bibliometric indicators: researchers with similar h-indices or c-scores may exhibit markedly different authorship profiles. Combining APR descriptors with citation metrics enriches the interpretation of scientific performance by contextualizing impact measures within authorship roles. Because it requires only byline information, avoids arbitrary weighting schemes, and yields intuitive numerical and graphical outputs, the APR offers a transparent and easily applicable complement for evaluation practices and research assessment frameworks.</div></div>","PeriodicalId":48662,"journal":{"name":"Journal of Informetrics","volume":"20 1","pages":"Article 101776"},"PeriodicalIF":3.5,"publicationDate":"2026-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"146078365","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

Published peer review reports have higher informative content than unpublished reports 发表的同行评议报告比未发表的报告具有更高的信息量

IF 3.5 2区管理学

Journal of Informetrics Pub Date : 2026-03-01 Epub Date: 2025-12-15 DOI: 10.1016/j.joi.2025.101760

Elena Álvarez-García , Daniel García-Costa , Flaminio Squazzoni , Mario Malički , Bahar Mehmani , Francisco Grimaldo

{"title":"Published peer review reports have higher informative content than unpublished reports","authors":"Elena Álvarez-García , Daniel García-Costa , Flaminio Squazzoni , Mario Malički , Bahar Mehmani , Francisco Grimaldo","doi":"10.1016/j.joi.2025.101760","DOIUrl":"10.1016/j.joi.2025.101760","url":null,"abstract":"<div><div>Although publishing peer review reports increases editorial transparency, little is known about the differences in terms of information content, readability and similarity between open and unpublished peer review reports across journals. We compared 140,844 published and 117,250 unpublished peer review reports from 233 medical journals published by Elsevier and Springer Nature between 2016 and 2021 using natural language processing. Our results showed that published peer review reports were longer and had more informative content, with the greatest difference found in the number of “suggestion and solution” sentences. Published peer review reports were also more readable and more similar to each other in terms of content structure. Reports by women had higher information scores and were more readable than reports by men, while reports by reviewers from non-Western institutions had lower information scores and were less readable than reports by reviewers from Western institutions. Our results suggest that increasing the transparency of review reports could lead to more detailed reports focusing on suggestions for improving manuscripts.</div></div>","PeriodicalId":48662,"journal":{"name":"Journal of Informetrics","volume":"20 1","pages":"Article 101760"},"PeriodicalIF":3.5,"publicationDate":"2026-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145798704","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

Design flaws in the Polish science quality evaluation system: A technical analysis of latent properties 波兰科学质量评价体系中的设计缺陷：潜在特性的技术分析

IF 3.5 2区管理学

Journal of Informetrics Pub Date : 2026-03-01 Epub Date: 2026-01-29 DOI: 10.1016/j.joi.2026.101773

Tomasz P. Pawlak

{"title":"Design flaws in the Polish science quality evaluation system: A technical analysis of latent properties","authors":"Tomasz P. Pawlak","doi":"10.1016/j.joi.2026.101773","DOIUrl":"10.1016/j.joi.2026.101773","url":null,"abstract":"<div><div>In 2018, Poland’s science and higher education underwent reforms introducing a new scientometrics system to periodically evaluate research quality in about 300 institutions. This system primarily relies on parametric evaluations, with limited expert input. Evaluation outcomes affect institutions’ government funding, as well as their authority to grant academic degrees and offer study fields. Initially applied in 2022 for the 2017–2021 period, the system remains largely unchanged for the 2026 evaluation of 2022–2025, sustained more by political instability than by trust in its efficacy.</div><div>This paper examines the Polish science evaluation system through the lenses of statistics, decision-making, and operations research. We reveal four design flaws causing counterintuitive results, enabling institutions to boost scores by even 60% through creative reporting, discriminating based on size, permitting result manipulation by parties with conflicting interests, and deviating markedly from current decision science standards. Our theoretical insights are validated by data from the 2022 and 2026 evaluations. Recommendations for system improvements are also presented.</div></div>","PeriodicalId":48662,"journal":{"name":"Journal of Informetrics","volume":"20 1","pages":"Article 101773"},"PeriodicalIF":3.5,"publicationDate":"2026-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"146078364","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

Tracing scientific knowledge flow in patents: An explainable machine learning study of citation types and their temporal dynamics 追踪专利中的科学知识流动：引用类型及其时间动态的可解释机器学习研究

IF 3.5 2区管理学

Journal of Informetrics Pub Date : 2026-03-01 Epub Date: 2026-01-29 DOI: 10.1016/j.joi.2026.101774

Yu Geng , Yixian Yin , Ruonan Cai , Xianwen Wang

{"title":"Tracing scientific knowledge flow in patents: An explainable machine learning study of citation types and their temporal dynamics","authors":"Yu Geng , Yixian Yin , Ruonan Cai , Xianwen Wang","doi":"10.1016/j.joi.2026.101774","DOIUrl":"10.1016/j.joi.2026.101774","url":null,"abstract":"<div><div>Patent references to scientific publications provide essential evidence of knowledge flow from science to technology, yet existing studies have rarely examined three citation types (front-page, in-text, and overlapping) or assessed how their knowledge characteristics change over time. Prior research also tends to focus on static comparisons at the level of a limited number of features, overlooking their combined contributions to knowledge flow. This study analyzes 581,684 scientific articles in biochemistry and molecular biology from 2011 to 2020, along with 230,431 patent-paper citation links involving these articles. We integrate the three citation types into a real-versus-virtual citation framework and apply XGBoost combined with SHAP and the Gini-Simpson index to assess feature contributions and their temporal dynamics. Results indicate that paper authority (normalized citation impact) and knowledge relevance (title similarity) are consistently the most influential drivers across all citation types. Front-page citations emphasize knowledge relevance, in-text citations highlight academic prestige, and overlapping citations combine both. From 2011 to 2020, all three types shift from relevance-driven to authority-driven citation behavior, with overlapping citations exhibiting intermediate trajectories. These findings provide new evidence on heterogeneous and evolving science-technology linkages and offer methodological guidance for evaluating knowledge flows in innovation studies.</div></div>","PeriodicalId":48662,"journal":{"name":"Journal of Informetrics","volume":"20 1","pages":"Article 101774"},"PeriodicalIF":3.5,"publicationDate":"2026-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"146090647","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

Assessing data quality in citation analysis: A case study of web of science and Crossref 引文分析中的数据质量评估：以web of science和Crossref为例

IF 3.5 2区管理学

Journal of Informetrics Pub Date : 2026-03-01 Epub Date: 2026-01-29 DOI: 10.1016/j.joi.2026.101775

Guoyang Rong , Ying Chen , Thorsten Koch , Keisuke Honda

引用次数: 0

λ-index: A new indicator based on generalized law in Information Production Processes λ指数：一种基于信息生产过程广义规律的新指标

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.2026.101769

Hiran H. Lathabai

{"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":"2026-03-01","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}

引用次数: 0

A multi-dimensional indicator system for identifying highly innovative papers: a knowledge absorption, creation, and diffusion perspective 识别高度创新论文的多维指标体系：知识吸收、创造和扩散视角

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.2025.101765

Wei Cheng , Xiaomin Zheng , Dejun Zheng, Ming Li, Tianshi Cong

{"title":"A multi-dimensional indicator system for identifying highly innovative papers: a knowledge absorption, creation, and diffusion perspective","authors":"Wei Cheng , Xiaomin Zheng , Dejun Zheng, Ming Li, Tianshi Cong","doi":"10.1016/j.joi.2025.101765","DOIUrl":"10.1016/j.joi.2025.101765","url":null,"abstract":"<div><div>Conventional metrics often emphasize a single aspect of academic innovation, such as citation counts, topical novelty, or disruption, and therefore fail to capture the multi-mechanism processes through which academic innovation emerges and spreads. This study develops a multi-dimensional indicator system grounded in a knowledge-evolution perspective that conceptualizes innovation across three stages: knowledge absorption, creation, and diffusion. Each stage corresponds to distinct, measurable traces in citation networks and textual semantics. Furthermore, the framework integrates citation- and content-based indicators and refines topic-novelty and knowledge-disruption measures through semantic and temporal modeling to reduce granularity and aggregation bias. Empirical validation is conducted using 1940 publications by Price Medal recipients and their cited and citing records (54,045 unique documents). Robustness is further examined through inter-indicator correlation analysis, comparison with citation impact, case validation using top-ranked innovative papers and representative works by Loet Leydesdorff, as well as a cross-field validation experiment. Results demonstrate that the proposed system effectively identifies highly innovative research and captures domain-specific patterns of knowledge generation and dissemination, offering a comprehensive and scalable approach for evaluating academic innovation.</div></div>","PeriodicalId":48662,"journal":{"name":"Journal of Informetrics","volume":"20 1","pages":"Article 101765"},"PeriodicalIF":3.5,"publicationDate":"2026-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"146037841","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

BiblioMerge: A Python-based automated tool to merge WoS and Scopus bibliographic data, compatible with Biblioshiny, BibExcel, VOSviewer, SciMAT and ScientoPy BiblioMerge：一个基于python的自动化工具，用于合并WoS和Scopus书目数据，与Biblioshiny， BibExcel, VOSviewer， SciMAT和ScientoPy兼容

IF 3.5 2区管理学

Journal of Informetrics Pub Date : 2026-03-01 Epub Date: 2026-01-17 DOI: 10.1016/j.joi.2026.101770

David Diez-Junguitu , Miguel Á. Peña-Cerezo

{"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":"2026-03-01","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}

引用次数: 0

Exploring the potential of novel research proposals as signals of successful national R&D: A case study on energy and resource sector in South Korea 探索作为国家研发成功信号的新颖研究提案的潜力：以韩国能源和资源部门为例

IF 3.5 2区管理学

Journal of Informetrics Pub Date : 2025-11-01 Epub Date: 2025-08-29 DOI: 10.1016/j.joi.2025.101722

Jaemin Chung , Janghyeok Yoon , Jaewoong Choi

{"title":"Exploring the potential of novel research proposals as signals of successful national R&D: A case study on energy and resource sector in South Korea","authors":"Jaemin Chung , Janghyeok Yoon , Jaewoong Choi","doi":"10.1016/j.joi.2025.101722","DOIUrl":"10.1016/j.joi.2025.101722","url":null,"abstract":"<div><div>The success of national R&D projects plays a vital role in sustaining the long-term growth of the domestic techno-economic system and strengthening the innovation capacity of the national innovation system. While successful R&D projects are often characterized by ex-post (e.g., significant R&D performance) and ex-ante (e.g., novel research content) factors, their empirical relationship remains unclear. This study quantitatively examines whether the novelty of research proposals serves as a potential indicator of successful national R&D. Using a transformer-based language model and a local outlier factor, we measure the semantic novelty of research proposals by measuring their differentiation from existing paradigms. We conduct a statistical analysis to examine how the novelty of research proposals moderates the effects of R&D investment on R&D performance. A case study of 12,243 research proposals in South Korea’s energy and resource sector shows that the proposed novelty indicator exhibits a statistically significant association with both R&D investment and performance levels. We also show that novelty positively moderates the relationship between R&D investment and performance. The empirical results are expected to provide insights into understanding successful national R&D projects by revealing the relationships between novel research proposals, R&D investment, and performance in various contexts. The proposed approach and its systematic process are expected to guide experts in continuously monitoring national R&D trends and evaluating research proposals in the era of open innovation.</div></div>","PeriodicalId":48662,"journal":{"name":"Journal of Informetrics","volume":"19 4","pages":"Article 101722"},"PeriodicalIF":3.5,"publicationDate":"2025-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144917688","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