Journal of Scientometric Research最新文献_第7页

Bibliometric Analysis of Urban Carrying Capacity: History, Current Status, Development and Future Direction 城市承载能力文献计量分析:历史、现状、发展与未来方向

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Journal of Scientometric Research Pub Date : 2023-04-17 DOI: 10.5530/jscires.12.1.005

Jay Vineshbhai Tailor, R. Tailor

{"title":"Bibliometric Analysis of Urban Carrying Capacity: History, Current Status, Development and Future Direction","authors":"Jay Vineshbhai Tailor, R. Tailor","doi":"10.5530/jscires.12.1.005","DOIUrl":"https://doi.org/10.5530/jscires.12.1.005","url":null,"abstract":"For stable functioning of an urban area, a balance between natural resources, urban infrastructure, and population is very much required. That’s where concept of carrying capacity comes into the picture to find out limitation and current overloading on natural resources and urban infrastructure. In this study to understand growth of research work on Urban Carrying Capacity (UCC) from seed to tree, a thorough bibliometric analysis has been done in R language-based software package called Biblioshiny which is an online web-based data analysis framework. Analysis has been done for the time span of 1978 to 2021, from which 327 manually filtered documents have been selected. The results show that (1) since 1978, papers on UCC are gradually increasing. This time span is divided into low production period, stable production period and rapid production period (2) UCC research covers 28 countries, out of which China, Indonesia and USA are the top three. In which China is having the most number of papers and collaboration with other countries (3) Sustainable development, ecological carrying capacity, ecological footprint, environment carrying capacity, water resources and analytical hierarchy process are the high-frequency keywords used in recent years (4) Mostly papers are focused on single factors based studies (land-based, water-based, air-based, infrastructure-based) and low numbers papers are on comprehensive analysis. Finally, study conclude that future scope on UCC includes strengthening existing definition and theory of carrying capacity, introducing new technology and model in the system like artificial intelligence, work on more comprehensive analysis than single-factor analysis and constructing a practical planning policy.","PeriodicalId":43282,"journal":{"name":"Journal of Scientometric Research","volume":"1 1","pages":""},"PeriodicalIF":0.8,"publicationDate":"2023-04-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"91393748","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Redesigning of Lotka’s Law with Simpson’s 3/8 Rule 用辛普森的3/8法则重新设计洛特卡定律

IF 0.8

Journal of Scientometric Research Pub Date : 2023-04-17 DOI: 10.5530/jscires.12.1.017

Anindya Basu, Bidyarthi Dutta

引用次数: 0

Neoteric Trends of Unmanned Aerial Vehicle (UAV) Research: A Scientometric Analysis 无人机研究的最新趋势:科学计量学分析

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Journal of Scientometric Research Pub Date : 2023-04-17 DOI: 10.5530/jscires.12.1.013

Ajay Kumar, Mayank Chopra, Yashwant Singh, Neerendra Kumar

引用次数: 1

A Methodology for Strategic Selection of Priority Research Topics in Terms of Bibliometric Analysis 基于文献计量学分析的优先研究课题战略选择方法

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Journal of Scientometric Research Pub Date : 2023-04-17 DOI: 10.5530/jscires.12.1.018

Jung-Chol Jo, Jin-Bom Jong, V. Drakopoulos, SONG-IL Ri

引用次数: 0

Mapping the Intellectual Structure Corporate Social Responsibility in Emerging Market: A Scientometric Analysis from 1984 to 2021 新兴市场企业社会责任的智力结构映射:1984 - 2021年的科学计量分析

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Journal of Scientometric Research Pub Date : 2023-04-17 DOI: 10.5530/jscires.12.1.012

I. Sameer, Walid Simmou, M. Ibrahim

引用次数: 0

An Intelligent Prediction of the Next Highly Cited Paper Using Machine Learning 利用机器学习智能预测下一篇高被引论文

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Journal of Scientometric Research Pub Date : 2023-04-17 DOI: 10.5530/jscires.12.1.008

Galal M. Bin Makhashen, Hamdi A. Al-Jamimi

{"title":"An Intelligent Prediction of the Next Highly Cited Paper Using Machine Learning","authors":"Galal M. Bin Makhashen, Hamdi A. Al-Jamimi","doi":"10.5530/jscires.12.1.008","DOIUrl":"https://doi.org/10.5530/jscires.12.1.008","url":null,"abstract":"Highly cited articles capture the attention of significant contributors in the research community as an opportunity to improve knowledge, source of ideas or solutions, and advance their research in general. Typically, these articles are authored by a large number of scientists with international collaboration. However, this could not be the only reason for an article to be highly cited, there might be several other characteristics for an article to be more attractive to researchers and readers. In other words, there are a few other characteristics that help articles/papers to be more than others to appear in search engines or to grab readers’ attention. In this study, we modeled several machine-learning methods with a set of articles, and journal characteristics including authors-count, title characteristics, abstract length, international collaboration, number of keywords, funding information, journal characteristics, etc. We extracted 20 characteristics and developed multiple machine-learning models to automate highly-cited papers recognition from regular papers. In experiments conducted with an ensemble machine learning algorithm, 97% recognition accuracy was achieved. Other algorithms including a deep learning method using LSTMs also achieved high recognition accuracy. Such high performances can be utilized for a promising HCP auto-detection system in the future.","PeriodicalId":43282,"journal":{"name":"Journal of Scientometric Research","volume":"9 1","pages":""},"PeriodicalIF":0.8,"publicationDate":"2023-04-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"75269810","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Top 100 cited papers in Information and Library science: A Brief Analysis 《情报与图书馆学》被引前100篇论文简析

IF 0.8

Journal of Scientometric Research Pub Date : 2023-01-06 DOI: 10.5530/jscires.11.3.40

F. Nisha, Sunil Kumar, Shipra Awasthi, M. Tripathi

{"title":"Top 100 cited papers in Information and Library science: A Brief Analysis","authors":"F. Nisha, Sunil Kumar, Shipra Awasthi, M. Tripathi","doi":"10.5530/jscires.11.3.40","DOIUrl":"https://doi.org/10.5530/jscires.11.3.40","url":null,"abstract":"High number of citations of research publications expresses its intellectual and cognitive impact. Papers with high citations are considered as a landmark in relevant research field as these express trends and emerging research areas as well as set future course of research. The objective of this study is to conduct bibliometric analysis of the top 100 most cited studies in the discipline of Information Science and Library Science. The data for the study was obtained from “Information Science and Library Science” category of Web of Science, as indexed in the last twenty-one years (2000-2021). The outcome of bibliometric analysis included progressive growth in citation over time, annual citation density, name of journal with its impact factor, which published these papers, year of publication, type of article i.e. articles, proceedings, book reviews, reviews and poetry etc; nature of access i.e. subscribed or open access, and country of origin. Number of citations of these papers as reported by Web of Science were cross checked with numbers of citations reported by Google Scholar to understand which one provided higher number of citations for the same paper. The number of citations in the top 100 cited papers ranged from 699 to14,273. The large numbers of the top 100 cited papers were published in MIS Quarterly. There were 40 publications authored by two, while 13 other papers were authored by more than four authors. This research is valuable for scholars in the discipline of library science and information science in identifying highly cited papers in the last 21 years, frequently pursued research areas, and names of journals publishing high quality research work in library Science discipline. The study of frequently cited papers will also guide in designing of objectives and methodology of future research studies. Journals have been charging very high subscription fee. This study will also help librarian in identifying journals which are making valuable contributions in the discipline of Information and Library Science.","PeriodicalId":43282,"journal":{"name":"Journal of Scientometric Research","volume":"01 1","pages":""},"PeriodicalIF":0.8,"publicationDate":"2023-01-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"80093412","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Book Review: Technology Business Incubator Process and Performance 书评:科技企业孵化器过程与绩效

IF 0.8

Journal of Scientometric Research Pub Date : 2023-01-06 DOI: 10.5530/jscires.11.3.51

Ganesaraman K

引用次数: 0

Global Research Trend of Korean Popular Music: A Bibliometric Analysis 韩国流行音乐全球研究趋势:文献计量分析

IF 0.8

Journal of Scientometric Research Pub Date : 2023-01-06 DOI: 10.5530/jscires.11.3.45

Wirapong Chansanam, Kornwipa Poonpon, Yuttana Jaroenruen, Nattapong Kaewboonma

{"title":"Global Research Trend of Korean Popular Music: A Bibliometric Analysis","authors":"Wirapong Chansanam, Kornwipa Poonpon, Yuttana Jaroenruen, Nattapong Kaewboonma","doi":"10.5530/jscires.11.3.45","DOIUrl":"https://doi.org/10.5530/jscires.11.3.45","url":null,"abstract":"The goal of this research is to examine the research approaches and trends in Korean popular music (K-pop). This bibliometric study is based on data from the Scopus database over the last ten years (2011–2021). This study examined 327 publications to determine the most prolific nations, authors, organizations, and referenced publications. The most active research publications were discovered to be in South Korea, the United States, and Australia. The most prolific institution has been recognized as Seoul National University (South Korea). The most influential author was determined to be Jin D.Y. Keyword co-occurrence analysis, author and country co-authorship analysis, and bibliographic coupling of documents utilizing the most widely used open-source information visualization technologies. The most productive magazines for K-pop are Kritika Kultura and the International Journal of Communication. This article summarizes the evolution of K-pop research and provides stakeholders with a concise overview of relevant studies and applications of K-pop. To our knowledge, this is the first study of its sort to do a Scopus-based mapping of the ‘K-pop and research’ literature. This will help develop the central theme and establish the scholars’ future research directions.","PeriodicalId":43282,"journal":{"name":"Journal of Scientometric Research","volume":"42 1","pages":""},"PeriodicalIF":0.8,"publicationDate":"2023-01-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"75621851","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Study on Citation Accuracy of Iranian Journals in the Field of Library and Information Science 伊朗图书馆情报学期刊引文准确性研究

IF 0.8

Journal of Scientometric Research Pub Date : 2023-01-06 DOI: 10.5530/jscires.11.3.42

Yasin Veisi, A. Asnafi

{"title":"Study on Citation Accuracy of Iranian Journals in the Field of Library and Information Science","authors":"Yasin Veisi, A. Asnafi","doi":"10.5530/jscires.11.3.42","DOIUrl":"https://doi.org/10.5530/jscires.11.3.42","url":null,"abstract":"The purpose of this study was to identify the citation status of scientific and research journals in the field of Information Science and Knowledge during the years 2016-2018. The present study is a survey analytic one and its statistical population includes all the articles of twelve scientific and research journals published by the National Scientific Journals Commission. Since some articles did not have a number of citations, out of 2264 citations, 1111 citations were analysed. The results showed that there was no statistically significant difference between source citation error and citation source language components, year of publication, number of authors, and author’s academic rank. But it has a significant relationship with the type of citation and publication component. The results showed that out of 1111 citations selected, 21 citations (1.9%) were not retrieved, 749 citations (67.4%) lacked any citations errors and 341 citations (30.7%) contained citations errors. The National Library of Librarian Studies and Information Organization and the Journal of Library and Information Research were the best in terms of citation accuracy, and the Journal of Human Interaction and Information had the lowest citation accuracy. Among the factors contributing to the occurrence of citation errors can be the lack of co-operation between authors, the carelessness of authors, and the lack of emphasis on journals. Solutions such as highlighting journals are recommended for authors to observe the validity of citations, insert proper citations to published articles, and evaluate and review some of the paper citations as an acceptance process.","PeriodicalId":43282,"journal":{"name":"Journal of Scientometric Research","volume":"52 1","pages":""},"PeriodicalIF":0.8,"publicationDate":"2023-01-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"90549382","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0