Scientometrics最新文献_第4页

The evolution of order of authorship based on researchers’ age 基于研究人员年龄的作者顺序演变

IF 3.9 3区管理学

Scientometrics Pub Date : 2024-08-01 DOI: 10.1007/s11192-024-05124-x

Kyriakos Drivas

引用次数: 0

Distribution by country, region, and publisher in environmental engineering journals in SCImago Journal and Country Rank database (1999–2022) SCImago 期刊和国家排名数据库中按国家、地区和出版商分列的环境工程期刊分布情况（1999-2022 年）

IF 3.9 3区管理学

Scientometrics Pub Date : 2024-08-01 DOI: 10.1007/s11192-024-05121-0

Luis Fernando Gómez, Andrés Felipe Montoya-Rendón, Juan Pablo Vélez-Uribe

{"title":"Distribution by country, region, and publisher in environmental engineering journals in SCImago Journal and Country Rank database (1999–2022)","authors":"Luis Fernando Gómez, Andrés Felipe Montoya-Rendón, Juan Pablo Vélez-Uribe","doi":"10.1007/s11192-024-05121-0","DOIUrl":"https://doi.org/10.1007/s11192-024-05121-0","url":null,"abstract":"The rise of globalization and the advent of Internet gave birth to a new science model in which national systems compete for a place in a global communication network where their products could circulate and gain notoriety. Several studies have been carried out to assess national performance in such network, particularly in terms of scientific research output and collaboration networks. However, academic journals in specific disciplines have not received the same attention. The purpose of this paper was to evaluate the evolution of journal prestige in terms of country and region of origin in the field of environmental engineering in SCImago Journal and Rank database during 1999–2022. It was found that Western countries and private publishers still dominate the discipline in 2022. The United Kingdom, the United States, and the Netherlands housed 51.16% of journals in 2022. Also, corporate publishers with headquarters in these countries own most of the journals, particularly in the top tier. Elsevier, Springer, and Taylor & Francis had a total 54 journals indexed in 2022, and 65.9% of journals rank in the first quartile belonged to these groups. However, Poland, China, and Iran have become major players. By 2022, they had 12, 10, and 7 environmental engineering journals indexed in SCImago Journal and Country Rank, and China and Iran’s journals have been ranked as Q1.","PeriodicalId":21755,"journal":{"name":"Scientometrics","volume":"190 1","pages":""},"PeriodicalIF":3.9,"publicationDate":"2024-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141882450","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

Research paper recommendation system based on multiple features from citation network 基于引文网络多重特征的研究论文推荐系统

IF 3.9 3区管理学

Scientometrics Pub Date : 2024-07-30 DOI: 10.1007/s11192-024-05109-w

Tayyaba Kanwal, Tehmina Amjad

{"title":"Research paper recommendation system based on multiple features from citation network","authors":"Tayyaba Kanwal, Tehmina Amjad","doi":"10.1007/s11192-024-05109-w","DOIUrl":"https://doi.org/10.1007/s11192-024-05109-w","url":null,"abstract":"With tremendous growth in the volume of published scholarly work, it becomes quite difficult for researchers to find appropriate documents relevant to their research topic. Many research paper recommendation approaches have been proposed and implemented which include collaborative filtering, content-based, metadata, link-based and multi-level citation network. In this research, a novel Research paper Recommendation system is proposed by integrating Multiple Features (RRMF). RRMF constructs a multi-level citation network and collaboration network of authors for feature integration. The structure and semantic based relationships are identified from the citation network whereas key authors are extracted from collaboration network for the study. For experimentation and analysis, AMiner v12 DBLP-Citation Network is used that covers 4,894,081 academic papers and 45,564,149 citation relationships. The information retrieval metrices including Mean Average Precision, Mean Reciprocal Rank and Normalized Discounted Cumulative Gain are used for evaluating the performance of proposed system. The research results of proposed approach RRMF are compared with baseline Multilevel Simultaneous Citation Network (MSCN) and Google Scholar. Consequently, comparison of RRMF showed 87% better recommendations than the traditional MSCN and Google Scholar.","PeriodicalId":21755,"journal":{"name":"Scientometrics","volume":"49 1","pages":""},"PeriodicalIF":3.9,"publicationDate":"2024-07-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141865178","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

Breach of academic values and misconduct: the case of Sci-Hub 违背学术价值观和不端行为：科学-互联（Sci-Hub）案例

IF 3.9 3区管理学

Scientometrics Pub Date : 2024-07-27 DOI: 10.1007/s11192-024-05046-8

Giulia Rossello, Arianna Martinelli

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Through the secret gate: a study of member-contributed submissions in PNAS 通过 "秘密之门"：对《美国国家科学院院刊》（PNAS）会员投稿的研究

IF 3.9 3区管理学

Scientometrics Pub Date : 2024-07-27 DOI: 10.1007/s11192-024-05115-y

Jens Peter Andersen, Serge P. J. M. Horbach, Tony Ross-Hellauer

{"title":"Through the secret gate: a study of member-contributed submissions in PNAS","authors":"Jens Peter Andersen, Serge P. J. M. Horbach, Tony Ross-Hellauer","doi":"10.1007/s11192-024-05115-y","DOIUrl":"https://doi.org/10.1007/s11192-024-05115-y","url":null,"abstract":"This work studies “Contributed” articles in the Proceedings of the National Academy of Sciences of the United States of America (PNAS), a streamlined submission track for members of the US National Academy of Sciences (NAS). We assess the characteristics and impact of those articles and the background and status of their authors, by comparing these articles to PNAS articles following the traditional editorial process. Analyzing over 46,000 articles published between 2007 and 2020, we find: Firstly, and perhaps most centrally, (1) Contributed articles generally appear in lower per-author citation deciles than Direct submissions, but are more likely to appear in the overall top citation deciles of authors; (2) PNAS-Contributed articles tend to spend less time in the review process than Direct submissions; (3) Direct submissions tend to be slightly higher cited than Contributed articles, which are particularly overrepresented amongst least-cited PNAS papers. Disciplinary differences were negligible; (4) authors with lower mean normalized citation scores are profiting most from articles published as Contributed papers, in terms of citation impact; (5) NAS members tend to publish most Contributed articles in the first years after becoming an NAS member, with men publishing more of these articles than women; (6) Contributing authors take up a unique niche in terms of authorship roles, mainly performing supervisory and conceptualisation tasks, without the administration and funding acquisition tasks usually associated with last authors.","PeriodicalId":21755,"journal":{"name":"Scientometrics","volume":"15 1","pages":""},"PeriodicalIF":3.9,"publicationDate":"2024-07-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141774163","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

Measuring the global and domestic technological impact of Chinese scientific output: a patent-to-paper citation analysis of science-technology linkage 衡量中国科技产出的全球和国内技术影响：从专利到论文引用的科技联系分析

IF 3.9 3区管理学

Scientometrics Pub Date : 2024-07-27 DOI: 10.1007/s11192-024-05110-3

Ziyou Teng, Xuezhong Zhu

{"title":"Measuring the global and domestic technological impact of Chinese scientific output: a patent-to-paper citation analysis of science-technology linkage","authors":"Ziyou Teng, Xuezhong Zhu","doi":"10.1007/s11192-024-05110-3","DOIUrl":"https://doi.org/10.1007/s11192-024-05110-3","url":null,"abstract":"Tracing the utilization of science in technological innovations, especially the fraction with regard to public research, is of major importance in science policy. We explore the evolution of the global and domestic technological impact of Chinese scientific output with a detailed analysis of 6,901,428 utility patents granted at USPTO from 1976 to 2020 and their 337,949 citations to Chinese scientific publications. The results show that Chinese scientific output plays an increasingly critical role in science-based innovations while its contributions to domestic and foreign technology are fluctuated over the period. The domestic use of Chinese research is shrinking in late 1990s but keeps increasing thereafter. The technological impact of Chinese scientific output varies in different technology sectors. The recent growing share of Chinese-invented technology in the citing patents is dominated by Chinese patents in digital communication. The time lag of domestic citations is smaller than foreign citations, which is partially owing to the self-citations of Chinese inventors. However, the contributions of self-citations to short knowledge diffusion times are heterogeneous across technology fields. The largest producer of the cited science is universities and the next is public research organizations. Companies account for a meager quantity of total citations and their proportion is shrinking since 2007. Specifically, private technology depends substantially on public research for scientific knowledge. A national bias is found in the scientific knowledge components of patents assigned to companies, which to a certain point indicates the area where academia and industry hold a close relationship in China and Chinese companies are specialized. Taken together, these findings provide a dynamic country- and sector-dependent linkage of Chinese scientific output to domestic and global technology.","PeriodicalId":21755,"journal":{"name":"Scientometrics","volume":"52 1","pages":""},"PeriodicalIF":3.9,"publicationDate":"2024-07-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141774165","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

Automated taxonomy alignment via large language models: bridging the gap between knowledge domains 通过大型语言模型进行自动分类对齐：缩小知识领域之间的差距

IF 3.9 3区管理学

Scientometrics Pub Date : 2024-07-26 DOI: 10.1007/s11192-024-05111-2

Wentao Cui, Meng Xiao, Ludi Wang, Xuezhi Wang, Yi Du, Yuanchun Zhou

{"title":"Automated taxonomy alignment via large language models: bridging the gap between knowledge domains","authors":"Wentao Cui, Meng Xiao, Ludi Wang, Xuezhi Wang, Yi Du, Yuanchun Zhou","doi":"10.1007/s11192-024-05111-2","DOIUrl":"https://doi.org/10.1007/s11192-024-05111-2","url":null,"abstract":"Taxonomy alignment is essential for integrating knowledge across diverse domains and languages, facilitating information retrieval and data integration. Traditional methods heavily reliant on domain experts are time-consuming and resource-intensive. To address this challenge, this paper proposes an automated taxonomy alignment approach leveraging large language models (LLMs). We introduce a method that embeds taxonomy nodes into a continuous low-dimensional vector space, utilizing hierarchical relationships within category concepts to enhance alignment accuracy. Our approach capitalizes on the contextual understanding and semantic information capabilities of LLMs, offering a promising solution to the challenges of taxonomy alignment. We conducted experiments on two pairs of real-world taxonomies and demonstrated that our method is comparable in accuracy to manual alignment, while significantly reducing time, operational, and maintenance costs associated with taxonomy alignment. Our case study showcases the effectiveness of our approach by visualizing the taxonomy alignment results. This automated alignment framework addresses the increasing demand for accurate and efficient alignment processes across diverse knowledge domains.","PeriodicalId":21755,"journal":{"name":"Scientometrics","volume":"26 1","pages":""},"PeriodicalIF":3.9,"publicationDate":"2024-07-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141774410","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

Evolving patterns of extreme publishing behavior across science 科学界极端出版行为模式的演变

IF 3.9 3区管理学

Scientometrics Pub Date : 2024-07-26 DOI: 10.1007/s11192-024-05117-w

John P. A. Ioannidis, Thomas A. Collins, Jeroen Baas

{"title":"Evolving patterns of extreme publishing behavior across science","authors":"John P. A. Ioannidis, Thomas A. Collins, Jeroen Baas","doi":"10.1007/s11192-024-05117-w","DOIUrl":"https://doi.org/10.1007/s11192-024-05117-w","url":null,"abstract":"Extreme publishing behavior may reflect a combination of some authors with genuinely high publication output and of other people who have their names listed too frequently in publications because of consortium agreements, gift authorship or other spurious practices. We aimed to evaluate the evolution of extreme publishing behavior across countries and scientific fields during 2000–2022. Extreme publishing behavior was defined as having > 60 full articles (original articles, reviews, conference papers) in a single calendar year and indexed in Scopus. We identified 3191 authors with extreme publishing behavior across science excluding Physics and 12624 such authors in Physics. While Physics had much higher numbers of extreme publishing authors in the past, in 2022 extreme publishing authors was almost as numerous in non-Physics and Physics disciplines (1226 vs. 1480). Excluding Physics, China had the largest number of extreme publishing authors, followed by the USA. The largest fold-wise increases between 2016 and 2022 (5-19-fold) occurred in Thailand, Saudi Arabia, Spain, India, Italy, Russia, Pakistan, and South Korea. Excluding Physics, most extreme publishing authors were in Clinical Medicine, but from 2016 to 2022 the largest relative increases (> sixfold) were seen in Agriculture, Fisheries & Forestry, Biology, and Mathematics and Statistics. Extreme publishing authors accounted for 4360 of the 10000 most-cited authors (based on raw citation count) across science. While most Physics authors with extreme publishing behavior had modest citation impact in a composite citation indicator that adjusts for co-authorship and author positions, 67% of authors with extreme publishing behavior in non-Physics fields remained within the top-2% according to that indicator among all authors with > = 5 full articles. Extreme publishing behavior has become worryingly common across scientific fields with rapidly increasing rates in some countries and settings and may herald a rapid depreciation of authorship standards.","PeriodicalId":21755,"journal":{"name":"Scientometrics","volume":"61 1","pages":""},"PeriodicalIF":3.9,"publicationDate":"2024-07-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141774409","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

Ten year citation prediction model for systematic reviews using early years citation data 利用早年引文数据建立系统综述十年引文预测模型

IF 3.9 3区管理学

Scientometrics Pub Date : 2024-07-22 DOI: 10.1007/s11192-024-05105-0

Manuel Marques-Cruz, Daniel Martinho Dias, João A. Fonseca, Bernardo Sousa-Pinto

{"title":"Ten year citation prediction model for systematic reviews using early years citation data","authors":"Manuel Marques-Cruz, Daniel Martinho Dias, João A. Fonseca, Bernardo Sousa-Pinto","doi":"10.1007/s11192-024-05105-0","DOIUrl":"https://doi.org/10.1007/s11192-024-05105-0","url":null,"abstract":"Citation counts are frequently used for assessing the scientific impact of articles. Current approaches for forecasting future citations counts have important limitations. This study aims to analyse and predict the trajectories of citation counts of systematic reviews (SR) based on their citation profiles in the previous years and predict quantiles of future citation counts. We included all SR published between 2010 and 2012 in medical journals indexed in the Web of Science. A longitudinal k-means (KML) clustering approach was applied to identify trajectories of citations counts 10 years after publication, according to the yearly citation count, the proportion of all cites attained in a specific year and the annual variation in citation counts. Finally, we built multinomial logistic regression models aiming to predict in what tercile or quartile of citation counts a SR would be 10 years after publication. Using clustering approaches, we obtained 24 groups of SR. Two groups (7.9% of the articles) had an average of > 200 citations, while two other groups (10.4% of the articles) presented an average of < 10 citations. The model predicting terciles of citation counts attained an accuracy of 72.8% (95%CI = 71.1–74.3%) and a kappa coefficient of 0.59 (95%CI = 0.57–0.62). Prediction of citation quartiles (combining the second and third quartiles into a single group) attained a accuracy of 76.2% (95%CI = 74.7–77.8%) and a kappa coefficient of 0.62 (95%CI = 0.59–0.64). This study provides an approach for predicting of future citations of SR based exclusively on citation counts from the previous years, with the models developed displaying an encouraging accuracy and agreement.","PeriodicalId":21755,"journal":{"name":"Scientometrics","volume":"42 1","pages":""},"PeriodicalIF":3.9,"publicationDate":"2024-07-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141738727","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

Weighted degrees and truncated derived bibliographic networks 加权度和截断衍生书目网络

IF 3.9 3区管理学

Scientometrics Pub Date : 2024-07-22 DOI: 10.1007/s11192-024-05092-2

Vladimir Batagelj

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