Scientometrics最新文献_第7页

Gender of gender studies: examining regional and gender-based disparities in scholarly publications 性别研究中的性别问题：审查学术出版物中的地区和性别差异

IF 3.9 3区管理学

Scientometrics Pub Date : 2024-06-27 DOI: 10.1007/s11192-024-05084-2

Arjun Prakash, Jeevan John Varghese, Shruti Aggarwal

{"title":"Gender of gender studies: examining regional and gender-based disparities in scholarly publications","authors":"Arjun Prakash, Jeevan John Varghese, Shruti Aggarwal","doi":"10.1007/s11192-024-05084-2","DOIUrl":"https://doi.org/10.1007/s11192-024-05084-2","url":null,"abstract":"This study comprehensively analyses gender representation and citation disparities in gender studies by examining the position of female scholars as first and corresponding authors. The research uncovers a pattern of gender-homogeneous co-authorship and investigates the geographical and economic disparities in academic contributions, scrutinising the impact of a country’s economic status on citation rates and open-access publications, particularly in relation to citation rates and open-access publications. The study uses a Logistics Regression and Zero-Inflated Negative Binomial Regression model to explore factors influencing open-access publication and citation rates. The study’s findings demonstrate the predominant presence of female scholars in gender-focused literature within social sciences, in contrast to their underrepresentation in STEM fields. The findings also reveal a tendency towards gender-homogenous collaborations and a significant concentration of scholarly output from the high-income regions, highlighting both geographic and economic disparities. The present study provides an analytical foundation for future studies on the global distribution of scholarly contributions and the complex interplay of various factors affecting academic publishing in gender studies.","PeriodicalId":21755,"journal":{"name":"Scientometrics","volume":"23 1","pages":""},"PeriodicalIF":3.9,"publicationDate":"2024-06-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141524233","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"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

Citation advantage of positive words: predictability, temporal evolution, and universality in varied quality journals 正面词语的引用优势：不同质量期刊的可预测性、时间演变和普遍性

IF 3.9 3区管理学

Scientometrics Pub Date : 2024-06-27 DOI: 10.1007/s11192-024-05074-4

Dengsheng Wu, Huidong Wu, Jianping Li

{"title":"Citation advantage of positive words: predictability, temporal evolution, and universality in varied quality journals","authors":"Dengsheng Wu, Huidong Wu, Jianping Li","doi":"10.1007/s11192-024-05074-4","DOIUrl":"https://doi.org/10.1007/s11192-024-05074-4","url":null,"abstract":"The number of positive words in scientific papers has exhibited a notable upwards trend over the past few decades. However, there remains a gap in our comprehensive understanding of the relationship between positive words and research impact. In this study, we conduct a multifaceted exploration of the citation advantage associated with positive words based on social cognitive theory, examining its predictability, temporal evolution, and universality across journals of varying quality grades. Drawing from a corpus encompassing 124,144 papers published in the management field between 2001 and 2020, our regression results provide compelling evidence suggesting that positive words can serve as a significant predictor of the citation counts of academic papers, supporting the citation advantage of positive words. However, it is essential to recognize that over time, the citation advantage attributed to positive words is experiencing a conspicuous decline. The universality of the above phenomenon has been further verified in the analysis of journals of different quality. Our findings prompt a discussion regarding the need to pay more attention to the overuse and misuse of positive words, as well as practical considerations for enhancing scientific communication within the academic community.","PeriodicalId":21755,"journal":{"name":"Scientometrics","volume":"38 1","pages":""},"PeriodicalIF":3.9,"publicationDate":"2024-06-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141524259","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"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

Multilateral co-authorship: an important but easily overlooked pattern in international scientific collaboration research 多边共同著作：国际科学合作研究中一个重要但容易被忽视的模式

IF 3.9 3区管理学

Scientometrics Pub Date : 2024-06-27 DOI: 10.1007/s11192-024-05095-z

Weishu Liu, Ruifeng Zhang

引用次数: 0

A validation test of the Uzzi et al. novelty measure of innovation and applications to collaboration patterns between institutions 对 Uzzi 等人的创新新颖性衡量标准进行验证测试，并将其应用于机构间的合作模式

IF 3.9 3区管理学

Scientometrics Pub Date : 2024-06-27 DOI: 10.1007/s11192-024-05071-7

Yuefen Wang, Lipeng Fan, Lei Wu

{"title":"A validation test of the Uzzi et al. novelty measure of innovation and applications to collaboration patterns between institutions","authors":"Yuefen Wang, Lipeng Fan, Lei Wu","doi":"10.1007/s11192-024-05071-7","DOIUrl":"https://doi.org/10.1007/s11192-024-05071-7","url":null,"abstract":"Exploring a robust and universal appeal bibliometric indicator for assessing creativity is essential but challenging. The novelty measure of innovation proposed by Uzzi et al. (NoveltyU) has sparked considerable interest and debate. Thus, further validation and understanding of its portfolio form of novelty and scope of application are necessary. This paper delves into the calculation and application of the NoveltyU method to shed light on its effectiveness and scope. Analysis of the calculation process reveals that journal pairs with higher novelty often span independent fundamental areas, while those with lower novelty tend to focus on similar and applied fields. Utilizing collaboration patterns between institutions, as discussed in our prior study (Fan et al., Scientometrics 125:1179–1196, 2020), offers insight into the method’s performance in real-world contexts. Results consistently show higher mean NoveltyU values in MM pattern over time, affirming the method’s validity. Categorizing papers into high conventional, low conventional, low novel, and high novel categories unveils higher overlap degree of terms among different patterns in high novel papers. Moreover, leading terms in MM pattern exhibit specific information, while delay terms tend to be more general, and simultaneous terms are even more so. These findings offer valuable insights into identifying hot and frontier topics, bolstering the credibility and application potential of the NoveltyU method, aligning with the broader objective of establishing valid measures of innovativeness in research.","PeriodicalId":21755,"journal":{"name":"Scientometrics","volume":"24 1","pages":""},"PeriodicalIF":3.9,"publicationDate":"2024-06-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141524264","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"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

Is Management and Organizational Studies divided into (micro-)tribes? 管理与组织研究是否分为（微）部落？

IF 3.9 3区管理学

Scientometrics Pub Date : 2024-06-25 DOI: 10.1007/s11192-024-05013-3

Oliver Wieczorek, Olof Hallonsten, Fredrik Åström

引用次数: 0

Predicting citation impact of academic papers across research areas using multiple models and early citations 利用多种模型和早期引文预测各研究领域学术论文的引文影响力

IF 3.9 3区管理学

Scientometrics Pub Date : 2024-06-25 DOI: 10.1007/s11192-024-05086-0

Fang Zhang, Shengli Wu

{"title":"Predicting citation impact of academic papers across research areas using multiple models and early citations","authors":"Fang Zhang, Shengli Wu","doi":"10.1007/s11192-024-05086-0","DOIUrl":"https://doi.org/10.1007/s11192-024-05086-0","url":null,"abstract":"As the volume of scientific literature expands rapidly, accurately gauging and predicting the citation impact of academic papers has become increasingly imperative. Citation counts serve as a widely adopted metric for this purpose. While numerous researchers have explored techniques for projecting papers’ citation counts, a prevalent constraint lies in the utilization of a singular model across all papers within a dataset. This universal approach, suitable for small, homogeneous collections, proves less effective for large, heterogeneous collections spanning various research domains, thereby curtailing the practical utility of these methodologies. In this study, we propose a pioneering methodology that deploys multiple models tailored to distinct research domains and integrates early citation data. Our approach encompasses instance-based learning techniques to categorize papers into different research domains and distinct prediction models trained on early citation counts for papers within each domain. We assessed our methodology using two extensive datasets sourced from DBLP and arXiv. Our experimental findings affirm that the proposed classification methodology is both precise and efficient in classifying papers into research domains. Furthermore, the proposed prediction methodology, harnessing multiple domain-specific models and early citations, surpasses four state-of-the-art baseline methods in most instances, substantially enhancing the accuracy of citation impact predictions for diverse collections of academic papers.","PeriodicalId":21755,"journal":{"name":"Scientometrics","volume":"149 1","pages":""},"PeriodicalIF":3.9,"publicationDate":"2024-06-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141504465","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"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

Investigating the application of work–energy metaphor in interdisciplinary citation analysis 跨学科引文分析中工作能量隐喻的应用研究

IF 3.9 3区管理学

Scientometrics Pub Date : 2024-06-24 DOI: 10.1007/s11192-024-05019-x

Guoyang Rong, Changling Li, Zhijian Zhang, Shuaipu Chen, Yuxing Qian

{"title":"Investigating the application of work–energy metaphor in interdisciplinary citation analysis","authors":"Guoyang Rong, Changling Li, Zhijian Zhang, Shuaipu Chen, Yuxing Qian","doi":"10.1007/s11192-024-05019-x","DOIUrl":"https://doi.org/10.1007/s11192-024-05019-x","url":null,"abstract":"Metaphors play a crucial role in facilitating the comprehension and analysis of knowledge. “Knowledge as energy” is a well-established metaphorical framework that provides unique benefits for comprehending the dissemination of knowledge and enabling its quantification. Nevertheless, empirical studies employing this framework are limited, especially in the area of the work–energy metaphor, which primarily remains theoretical. This paper proposes an application scheme for the work– energy metaphor in interdisciplinary citation analysis. In this scheme, disciplines are considered entities; various factors that drive the progress of a discipline are considered forces; energy is considered the knowledge produced or transferred in the citations. Building upon the work–energy theorem in physics, this study developed indicators reflecting citation quality and velocity to assess interdisciplinary research progression. An empirical investigation was carried out, utilizing these indicators to evaluate the influence of interdisciplinary citations on disciplines. In the experiments, we used Library and Information Science (LIS) from 2012 to 2021 as an example to analyze the impact of interdisciplinary citations from LIS on other disciplines over two time periods. The experiments demonstrated the feasibility of the work–energy metaphorical framework proposed in this paper. It was also found that Computer Science, Management, and Business experienced the highest impact from LIS interdisciplinary citations and exhibited steady growth over a 10-year period. Environmental Science has substantial potential for the future.","PeriodicalId":21755,"journal":{"name":"Scientometrics","volume":"139 1","pages":""},"PeriodicalIF":3.9,"publicationDate":"2024-06-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141524267","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"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 citation analysis examining geographical specificity in article titles 对文章标题中地域特异性的引文分析

IF 3.9 3区管理学

Scientometrics Pub Date : 2024-06-21 DOI: 10.1007/s11192-024-05075-3

C. Sean Burns, Md. Anwarul Islam

{"title":"A citation analysis examining geographical specificity in article titles","authors":"C. Sean Burns, Md. Anwarul Islam","doi":"10.1007/s11192-024-05075-3","DOIUrl":"https://doi.org/10.1007/s11192-024-05075-3","url":null,"abstract":"This investigation explores the impact of geographical names within article titles on citation frequency across a corpus of literature within the field of library and information science, spanning from 2018 to 2020, and encompassing 56 journal titles. We hypothesized that the presence of geographical names of nations in article titles would negatively correlate with citation counts. Our primary analysis of 1330 articles with geographical names in titles versus 8702 without, revealed a statistically significant, albeit small, difference in median citations, favoring articles without geographical names (mdn = 7) over those with geographical names (mdn = 6). Contrary to our secondary hypothesis, a proximity analysis demonstrated a weak, positive correlation between the position of geographical names near the title end and citation counts. Our examination found little evidence supporting differential citation frequency based on the Human Development Index (HDI) of the nations mentioned in titles. However, although a journal’s impact score strongly predicted citation counts for articles, we found that these counts were depressed when articles in those journals contained a geographic name. We found a negative correlation between the frequency of geographical names in article titles and the journals’ impact scores, yet this was weakly, statistically significant. Our data also suggested a vague positional preference for nations within titles, unrelated to HDI. Furthermore, the likelihood of journals publishing articles mentioning nations of varying HDI was found to be statistically insignificant. This study sheds light on the nuanced influence of title specificity, through geographical names, on scholarly communication and citation impact, indicating a slight preference for broader title phrasing in garnering citations.","PeriodicalId":21755,"journal":{"name":"Scientometrics","volume":"75 1","pages":""},"PeriodicalIF":3.9,"publicationDate":"2024-06-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141524271","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"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

Heterogeneous hypergraph learning for literature retrieval based on citation intents 基于引用意图的异构超图学习用于文献检索

IF 3.9 3区管理学

Scientometrics Pub Date : 2024-06-21 DOI: 10.1007/s11192-024-05066-4

Kaiwen Shi, Kan Liu, Xinyan He

{"title":"Heterogeneous hypergraph learning for literature retrieval based on citation intents","authors":"Kaiwen Shi, Kan Liu, Xinyan He","doi":"10.1007/s11192-024-05066-4","DOIUrl":"https://doi.org/10.1007/s11192-024-05066-4","url":null,"abstract":"Literature retrieval helps scientists find previous work that is relative to their own research or even get new research ideas. However, the discrepancy between retrieval results and the ultimate intention of citation is neglected by most literature retrieval models. Citation intent refers to the researcher’s motivation for citing a paper. A citation intent graph with homogeneous nodes and heterogeneous hyperedges can represent different types of citation intents. By leveraging the citation intent information included in a hypergraph, a retrieval model can guide researchers on where to cite its retrieval result by understanding the citation behaviour in the graph. We present a ranking model called CitenGL (Citation Intent Graph Learning) that aims to extract citation intent information and textual matching signals. The proposed model consists of a heterogeneous hypergraph encoder and a lightweight deep fusion unit for efficiency trade-offs. Compared to traditional literature retrieval, our model fills the gap between retrieval results and citation intention and yields an understandable graph-structured output. We evaluated our model on publicly available full-text paper datasets. Experimental results show that CitenGL outperforms most existing neural ranking models that only consider textual information, which illustrates the effectiveness of integrating citation intent information with textual information. Further ablation analyses show how citation intent information complements text-matching signals and citation networks.","PeriodicalId":21755,"journal":{"name":"Scientometrics","volume":"44 1","pages":""},"PeriodicalIF":3.9,"publicationDate":"2024-06-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141524270","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"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

Gender assignment in doctoral theses: revisiting Teseo with a method based on cultural consensus theory 博士论文中的性别分配：用基于文化共识理论的方法重新审视 Teseo

IF 3.9 3区管理学

Scientometrics Pub Date : 2024-06-20 DOI: 10.1007/s11192-024-05079-z

Nataly Matias-Rayme, Iuliana Botezan, Mari Carmen Suárez-Figueroa, Rodrigo Sánchez-Jiménez

{"title":"Gender assignment in doctoral theses: revisiting Teseo with a method based on cultural consensus theory","authors":"Nataly Matias-Rayme, Iuliana Botezan, Mari Carmen Suárez-Figueroa, Rodrigo Sánchez-Jiménez","doi":"10.1007/s11192-024-05079-z","DOIUrl":"https://doi.org/10.1007/s11192-024-05079-z","url":null,"abstract":"This study critically evaluates gender assignment methods within academic contexts, employing a comparative analysis of diverse techniques, including a SVM classifier, gender-guesser, genderize.io, and a Cultural Consensus Theory based classifier. Emphasizing the significance of transparency, data sources, and methodological considerations, the research introduces nomquamgender, a cultural consensus-based method, and applies it to Teseo, a Spanish dissertation database. The results reveal a substantial reduction in the number of individuals with unknown gender compared to traditional methods relying on INE data. The nuanced differences in gender distribution underscore the importance of methodological choices in gender studies, urging for transparent, comprehensive, and freely accessible methods to enhance the accuracy and reliability of gender assignment in academic research. After reevaluating the problem of gender imbalances in the doctoral system we can conclude that it’s still evident although the trend is clearly set for its reduction. Finaly, specific problems related to some disciplines, including STEM fields and seniority roles are found to be worth of attention in the near future.","PeriodicalId":21755,"journal":{"name":"Scientometrics","volume":"58 1","pages":""},"PeriodicalIF":3.9,"publicationDate":"2024-06-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141504466","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"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