Journal of Informetrics最新文献

{"title":"Uncovering gold in ash: identifying sleeping beauties among massive unprofitable patents","authors":"Wei Xu ,&nbsp;Nan Zhang ,&nbsp;Hongxun Jiang ,&nbsp;Shaokun Fan ,&nbsp;Bin Zhu","doi":"10.1016/j.joi.2025.101674","DOIUrl":"10.1016/j.joi.2025.101674","url":null,"abstract":"<div><div>This paper proposes an innovative deep-learning framework with multi-modal features to determine whether a currently unprofitable patent is a sleeping beauty at an early stage. Patent features include the textual content as well as the networked background information, such as the inventors and assignees, as well as the previous works they have created. The framework uses a Transformer to compare the patent with news or analytical reports concerning technological development trends, mining its content both semantically and syntactically. An active graphical convolutional network, mining the innovation collaboration network of a patent, is also employed as part of the framework to reveal the relationship between patents, companies, and inventors. This framework finally utilizes the obtained features to construct a multi-head self-attention model to predict a patent with the probability of being a sleeping beauty. This paper examines the proposed model by comparing it to several well-known baseline methods using real-world cases from the United States Patent and Trademark Office (USPTO). The proposed deep learning solution outperforms all baseline methods according to all performance metrics. Its long-term forecasting accuracy significantly exceeds its rivals. In the ablation experiments, features extracted from texts and networks are shown to improve the performance of prediction models.</div></div>","PeriodicalId":48662,"journal":{"name":"Journal of Informetrics","volume":"19 3","pages":"Article 101674"},"PeriodicalIF":3.4,"publicationDate":"2025-05-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143900269","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}

{"title":"Regional profile of questionable publishing","authors":"Taekho You ,&nbsp;Jinseo Park ,&nbsp;June Young Lee ,&nbsp;Jinhyuk Yun","doi":"10.1016/j.joi.2025.101670","DOIUrl":"10.1016/j.joi.2025.101670","url":null,"abstract":"<div><div>Countries and authors in the academic periphery have occasionally been criticized for contributing to the expansion of questionable publishing, because they share a major fraction of papers in questionable journals. On the other side, both quantitative evaluation systems and social stratification in academic publishing drive authors toward questionable journals rather than legitimate publications. Questionable journals are sometimes perceived as serving local academia, a function considered essential for regional scientific development in certain countries. However, this requires rigorous examination. In this study, we performed an in-depth analysis of the distribution of questionable publications and journals along with their interplay with countries, quantifying the influence of questionable publications on academic inequality. We found that low-impact journals play a vital role in the regional academic environment, whereas questionable journals with equivalent impacts publish papers globally, both geographically and academically. The business model of questionable journals differs from that of regional journals, and may thus be detrimental to the broader academic community.</div></div>","PeriodicalId":48662,"journal":{"name":"Journal of Informetrics","volume":"19 3","pages":"Article 101670"},"PeriodicalIF":3.4,"publicationDate":"2025-05-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143894817","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}

{"title":"Quantitative model of firms’ weight using a gravity model in relative coordinates: Case study of photo film industry facing digital innovation","authors":"Katsuyuki Kaneko ,&nbsp;Yuya Kajikawa","doi":"10.1016/j.joi.2025.101676","DOIUrl":"10.1016/j.joi.2025.101676","url":null,"abstract":"<div><div>Dynamic capabilities and organizational deadweights are essential managerial concepts that are crucial in navigating a turbulent environment. However, their measurements still rely on qualitative methods such as questionnaires and interviews, rather than factual data. This study aims to quantify firms' attitudes toward emerging technological innovations by applying a gravity model using patent data. Four major global firms in the photo film industry, forced into a crisis of existence by the advent of digital technologies, are investigated. The distance in the gravity model is calculated as the technological distance using the patent data of each firm. The weight of each firm, quantified from the coefficients estimated using the gravity model, is validated by comparing it with the historical information of the firms. Additionally, we estimate the changes in dynamic capabilities and organizational deadweights when firms in the industry could sense the threat of digital cameras. The results show that surviving firms had an increase in capabilities relative to disappeared firms.</div></div>","PeriodicalId":48662,"journal":{"name":"Journal of Informetrics","volume":"19 3","pages":"Article 101676"},"PeriodicalIF":3.4,"publicationDate":"2025-05-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143894816","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}

{"title":"Journal internationalization of non-English-speaking countries: Indicator framework design and influencing factor analysis","authors":"Tian-Yuan Huang ,&nbsp;Li Li ,&nbsp;Ping Meng","doi":"10.1016/j.joi.2025.101671","DOIUrl":"10.1016/j.joi.2025.101671","url":null,"abstract":"<div><div>English is widely recognized as the predominant lingua franca in the global scientific community, in such context many non-English-speaking countries have started to establish their own English-language scientific journals, so as to enhance academic influence and promote international collaboration. Despite the inherent nature of English-language scientific journals in non-English-speaking countries is facilitating transnational knowledge exchange, current mainstream evaluation metrics (such as Journal Impact Factor) fail to assess this characteristic objectively. To fill this gap, our study analyzed 3,077 English-language journals from 17 non-English-speaking countries, using data from the Journal Citation Report (JCR) and InCites to evaluate journal internationalization degree (JID) across three levels: journal-level (Level 1), paper-level (Level 2), and citation-level (Level 3). Results show that JID varies across countries and does not necessarily exhibit consistency at different levels. At country level, correlation analyses revealed that Human Development Index (HDI) positively relates to all levels of JID, while English Proficiency Index (EPI) only affects the proportion of non-domestic papers. At the journal level, we examine the effects of open access (OA), article processing charges (APC), and Category Normalized Citation Impact (CNCI) on JID. The findings show that while OA modestly enhances international visibility, higher APCs negatively impact international submissions. Among these factors, CNCI emerges as the strongest driver of global reach, showing a strong correlation with both international submissions and citations. Potentially, our research can provide insights for journals to adjust their development strategies and advance their internationalization process.</div></div>","PeriodicalId":48662,"journal":{"name":"Journal of Informetrics","volume":"19 3","pages":"Article 101671"},"PeriodicalIF":3.4,"publicationDate":"2025-04-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143873852","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}

{"title":"How do intra- and inter-organisational collaboration affect research performance? Evidence from German universities","authors":"Cecilia Garcia Chavez ,&nbsp;Sonia Gruber ,&nbsp;Torben Schubert","doi":"10.1016/j.joi.2025.101675","DOIUrl":"10.1016/j.joi.2025.101675","url":null,"abstract":"<div><div>This paper examines how organisational boundaries shape the relationship between collaboration and research performance in universities. Using meso-level co-authorship networks and matched registry data from 83 German universities between 2006 and 2019, this study advances the understanding of how organisational structures condition collaborative knowledge production and its research performance outcomes. By examining the contingency effects of intra- and inter-organisational networks, we offer new insights into the cost-benefit trade-offs of collaboration, highlighting the importance of balancing internal cohesion with external diversity. While intra-organisational networks reinforce strong relational ties that support existing knowledge, they may constrain the formation of novel knowledge combinations. Conversely, inter-organisational networks expand opportunities for new knowledge combinations, but at the cost of weaker ties, which may reduce the depth and stability of knowledge exchange. Our findings highlight the strategic value of integrating intra- and inter-organisational networks to optimise the research impact of universities.</div></div>","PeriodicalId":48662,"journal":{"name":"Journal of Informetrics","volume":"19 3","pages":"Article 101675"},"PeriodicalIF":3.4,"publicationDate":"2025-04-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143876702","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}

{"title":"Understanding the formation and dissolution of interdisciplinary teamwork networks: A comprehensive framework study of network structure, subject characteristics, and link attributes","authors":"Junwan Liu,&nbsp;Zhuoran Tang,&nbsp;Xiaoyun Gong,&nbsp;Xiaofei Guo,&nbsp;Luyao Zhang","doi":"10.1016/j.joi.2025.101668","DOIUrl":"10.1016/j.joi.2025.101668","url":null,"abstract":"<div><div>Interdisciplinary research teams play a crucial role in addressing multifaceted problems that transcend the boundaries of disciplines. Despite the growing interest in these teams, previous studies have not simultaneously examined the factors affecting their formation and dissolution. In this paper, medical informatics is selected as the research field, and based on the team collaboration network in this interdisciplinary field, the comprehensive effects of its intrinsic structure, subject characteristics and link attributes on the formation and dissolution of collaborative relationships are empirically investigated using the Exponential Random Graph Model (ERGM) and the Separable Temporal Sequential Exponential Random Graph Model (STERGM). Results indicate that within network structural attributes, the presence or increase of closed triangular formations will significantly promote the occurrence or increase of the establishment of new collaborative ties, whereas open triangles impede formation and encourage dissolution. In subject characteristics, interdisciplinary of members positively influences collaboration formation, the enhancement of academic influence will increase the possibility of formation and decrease the possibility of dissolution, and academic productivity uniformly promotes both formation and dissolution. Additionally, scholars of varying academic ages exhibit distinct collaboration patterns. Within multidimensional link attributes, organizational proximity, disciplinary proximity, and collaboration history enhance formation and deter dissolution of collaborative ties, whereas topic similarity exerts an opposing effect. While previous studies have examined team formation or dissolution from one single dimension, this study proposes a comprehensive framework that integrates network structure, subject characteristics, and link attributes to elucidate the mechanisms of interdisciplinary team formation and dissolution. Also, by using a combination of ERGM and STERGM models, we can reveal how the aforementioned factors enhance team stability and reduce the risk of dissolution from both static and dynamic perspectives. Based on our findings, we propose targeted management strategies for different stages of team development, focusing on disciplinary balance, talent recruitment, and cross-disciplinary communication to ensure the team's sustainable and effective operation.</div></div>","PeriodicalId":48662,"journal":{"name":"Journal of Informetrics","volume":"19 2","pages":"Article 101668"},"PeriodicalIF":3.4,"publicationDate":"2025-04-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143876933","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}

{"title":"Affiliation homogeneity and scientific impact: A comparative study across nations","authors":"Moxin Li,&nbsp;Yang Wang","doi":"10.1016/j.joi.2025.101673","DOIUrl":"10.1016/j.joi.2025.101673","url":null,"abstract":"<div><div>The crucial role of affiliation diversity in driving scientific progress is widely recognized. However, existing research did not distinguish international and domestic collaborations, overlooking the specific impact of domestic affiliation diversity on scientific breakthroughs. In this study, we utilize the Microsoft Academic Graph (MAG) dataset from 2000 to 2020 and apply the Shannon entropy to quantify diversity. While our findings indicate that domestic affiliation diversity has increased over the past two decades, contemporary science still exhibits a high level of affiliation homophily. Notably, China’s affiliation diversity remains low across different team sizes and scientific fields compared to other countries. Additionally, we observe a positive correlation between domestic affiliation diversity and citation impact in the U.S., the U.K., and Japan, with larger teams benefiting more significantly. In contrast, in China, there is a significant negative correlation between affiliation diversity and citation impact. Additionally, we find that in Chinese publications, the majority of contributions, conditional on affiliation diversity, come from a single institution. Our research sheds light on the relationship between domestic affiliation diversity and citation impact. These findings may have important policy implications for strengthening national research capabilities.</div></div>","PeriodicalId":48662,"journal":{"name":"Journal of Informetrics","volume":"19 3","pages":"Article 101673"},"PeriodicalIF":3.4,"publicationDate":"2025-04-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143876706","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}

{"title":"Measuring knowledge complexity in the biomedical domain based on a question-method knowledge representation model","authors":"Ming Ma ,&nbsp;Jin Mao ,&nbsp;Zhentao Liang ,&nbsp;Zhejun Zheng ,&nbsp;Gang Li","doi":"10.1016/j.joi.2025.101667","DOIUrl":"10.1016/j.joi.2025.101667","url":null,"abstract":"<div><div>In nowadays knowledge-driven economy, knowledge complexity plays a crucial role in gaining a competitive advantage. In the biomedical field, this complexity spurs innovation and enables resource monopolization. Previous studies on knowledge complexity have primarily examined the interactions between knowledge units and nonknowledge systems from a macro perspective. These analyses often overlook how the micro-level components of knowledge influence its overall complexity. This study marks a departure from such approaches by conceptualizing biomedical knowledge in terms of questions and methods, as well as proposing a novel method to measure knowledge complexity. This approach emphasizes the exploration of connections between knowledge units by constructing a question-method bipartite network. The validity of our methodology was rigorously tested through controlled experiments involving random networks and a comprehensive review of the relevant literature. Furthermore, this study reveals the relationship between knowledge complexity and dissemination, suggesting that the more complex knowledge is, the more likely it will be cited frequently. Internal knowledge flows within the same research question exhibit greater sensitivity to knowledge complexity than external flows. This study can help demystify the sophisticated scientific knowledge system and provides detailed insights into the complexity of scientific knowledge and dissemination mechanisms.</div></div>","PeriodicalId":48662,"journal":{"name":"Journal of Informetrics","volume":"19 2","pages":"Article 101667"},"PeriodicalIF":3.4,"publicationDate":"2025-04-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143864228","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}

{"title":"Response to “Conclusions need to follow from supporting results” by Haunschild and Bornmann","authors":"Xing Wang","doi":"10.1016/j.joi.2025.101666","DOIUrl":"10.1016/j.joi.2025.101666","url":null,"abstract":"","PeriodicalId":48662,"journal":{"name":"Journal of Informetrics","volume":"19 2","pages":"Article 101666"},"PeriodicalIF":3.4,"publicationDate":"2025-04-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143869673","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}

{"title":"Understanding knowledge growth in scientific collaboration process: Evidence from NSFC projects","authors":"Zhizhen Yao ,&nbsp;Xiaoming Huang ,&nbsp;Haochen Song ,&nbsp;Guoyang Rong ,&nbsp;Feicheng Ma","doi":"10.1016/j.joi.2025.101664","DOIUrl":"10.1016/j.joi.2025.101664","url":null,"abstract":"<div><div>Scientific collaboration has become increasingly popular due to the growing complexity of scientific tasks, especially for scientific projects supported by large funding agencies such as The National Natural Science Foundation of China (NSFC). This study focuses on modeling the network incremental elements within the scientific collaboration process of NSFC project teams to understand the intricate knowledge growth mechanisms. Four elements representing incremental knowledge were defined: Isolation, Mixed Addition, Inclusion, and Internal Correlation. Additionally, four knowledge incremental patterns and different collaboration processes were identified. The study discovered the following key findings: (1) NSFC project teams prioritize knowledge absorption and integration during collaboration, predominantly advancing knowledge through Mixed Addition approaches. (2) Teams in Management Science and Engineering (MSE) discipline tend to expand through Mixed Addition approaches, while Economic Science (ES) teams prefer Inclusion and Internal Correlation approaches for team development compared to MSE teams. (3) The knowledge pioneering pattern negatively impacts productivity, while the emergence of knowledge expansion and enhancement patterns can lead to significant improvements. Overall, this study explores the team collaboration process from the knowledge growth perspective, which provides valuable insights for optimizing team management and improving collaboration efficiency.</div></div>","PeriodicalId":48662,"journal":{"name":"Journal of Informetrics","volume":"19 2","pages":"Article 101664"},"PeriodicalIF":3.4,"publicationDate":"2025-04-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143844757","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}