Journal of Scientometric Research最新文献_第10页

Trends in Political Campaigning Research: A Bibliometric Literature Analysis 政治竞选研究趋势:文献计量学文献分析

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Journal of Scientometric Research Pub Date : 2022-09-13 DOI: 10.5530/jscires.11.2.28

C. Prakash, Sunita Dwivedi

引用次数: 0

An Analysis of Social Networking for E-learning in Institutions of Higher Learning using Perceived Ease of use and Perceived Usefulness 基于感知易用性和感知有用性的高校电子学习社交网络分析

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Journal of Scientometric Research Pub Date : 2022-09-13 DOI: 10.5530/jscires.11.2.26

Samuel-Soma M. Ajibade, N. Adhikari, Dai-Long Ngo-Hoang

引用次数: 1

Relative Search Interest and Twitter Altmetrics of Chloroquine, Hydroxychloroquine and Ivermectin in Latin America 拉丁美洲氯喹、羟氯喹和伊维菌素的相对搜索兴趣和Twitter替代度量

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Journal of Scientometric Research Pub Date : 2022-09-13 DOI: 10.5530/jscires.11.2.19

F. C. Gouveia, Priscila Ramos-Carvalho, Marcos Gonçalves Ramos

引用次数: 1

STI Performance in Indonesia: Policies, Indicators, Current Achievements, and Recommendations for 2045 印度尼西亚的科技创新绩效:政策、指标、当前成就和2045年的建议

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Journal of Scientometric Research Pub Date : 2022-09-13 DOI: 10.5530/jscires.11.2.29

Prakoso Bhairawa Putera, S. Suryanto, S. Ningrum, I. Widianingsih, Y. Rianto

引用次数: 1

A Comparative Analysis of Unified Informetrics with Scopus and Web of Science 统一信息计量学与Scopus和Web of Science的比较分析

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Journal of Scientometric Research Pub Date : 2022-09-13 DOI: 10.5530/jscires.11.2.16

P. Khurana, Geetha Ganesan, G. Kumar, K. Sharma

{"title":"A Comparative Analysis of Unified Informetrics with Scopus and Web of Science","authors":"P. Khurana, Geetha Ganesan, G. Kumar, K. Sharma","doi":"10.5530/jscires.11.2.16","DOIUrl":"https://doi.org/10.5530/jscires.11.2.16","url":null,"abstract":"Numerous bibliographic databases track the number of publications, citations, and h-index to maintain the progress of an individual. However, the choice of journals varies among these databases, hence they produce different numbers of publications, citations and h-index for the same author. Various literatures are available on the comparative analysis of such bibliographic databases stating the fact that there are the differences between bibliometrics generated by different bibliographic databases but none of the literature provides any comprehensive or complete solution to overcome such differences. At present, there is no common platform that can provide a single count of number of publications, citations and h-index across multiple bibliographic databases. To overcome this limitation, we propose a new method in academic research publication to calculate weighted unified (single) informetrics for an author. With the proposed solution, one can view a single article, citation, and h-index count computed from multiple indexing databases. In this study, the data from Scopus and Web of Science is used to generate a new database named “conflate”. Further, a comparative analysis of the proposed model is performed with Scopus and Web of Science at three levels: author, organization, and journal. The proposed model can be observed as a new single indicator to determine the research influence of the author, organization, and journal. Aim: We propose a new method in academic research publication to calculate weighted unified informetrics. With the proposed solution, one can view a single article, citation, and h-index count computed from multiple indexing databases. The proposed model can be observed as a new indicator to determine the research influence of author, organization, and journal.","PeriodicalId":43282,"journal":{"name":"Journal of Scientometric Research","volume":"14 1","pages":""},"PeriodicalIF":0.8,"publicationDate":"2022-09-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"84962318","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: 2

What do we know about Employee Productivity?: Insights from Bibliometric Analysis 我们对员工生产力了解多少?:来自文献计量分析的见解

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Journal of Scientometric Research Pub Date : 2022-09-13 DOI: 10.5530/jscires.11.2.20

Shivangi Singh, Ajay Solkhe, P. Gautam

引用次数: 2

The Impact of Faculty Members’ International Collaboration on the Centrality Measure of their Local Collaboration Network: The Case of Electrical and Computer Engineering in the Selected Iranian Universities 教师的国际合作对其本地合作网络的中心性度量的影响:选定的伊朗大学的电气和计算机工程案例

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Journal of Scientometric Research Pub Date : 2022-09-13 DOI: 10.5530/jscires.11.2.21

Seyed Reza Mirnezami, Molud Mohammadi

{"title":"The Impact of Faculty Members’ International Collaboration on the Centrality Measure of their Local Collaboration Network: The Case of Electrical and Computer Engineering in the Selected Iranian Universities","authors":"Seyed Reza Mirnezami, Molud Mohammadi","doi":"10.5530/jscires.11.2.21","DOIUrl":"https://doi.org/10.5530/jscires.11.2.21","url":null,"abstract":"The importance of scientific collaborations is mainly because of the professional learning obtained from the formation of research connections. Each researcher brings a feature and advantage to the research team, such as mastering a particular topic and its subdivisions or improving team thinking. The importance of collaboration is doubled when researchers collaborate at the international level, resulting in access to up-to-date resources and equipment, consequently increasing the quantity, quality, and impact of research activities. The primary purpose of this study is to investigate the effect of international collaboration of faculty members on the centrality of the university network collaborations, which measures how much a scientist is at the center of a local collaboration network. The data is taken from faculty members’ publications in the electrical and computer engineering departments of the selected Iranian universities (the Isfahan University of Technology, Iran University of Science and Technology, Amirkabir University of Technology, University of Tehran, Ferdowsi University of Mashhad, and the Sharif University of Technology). Using multiple linear regression, the results show a twofold effect: The significant positive effect of having international collaboration on the centrality degree of scientists’ network and the significant negative effect of the international collaborations over the total collaborations ratio on the centrality degree. This means that international collaborations of faculty members per se put them at the center of the university network. However, this positive effect turns negative if its weight is dominant compared to all publications. The finding highlights the importance of a balance between international and local collaborations","PeriodicalId":43282,"journal":{"name":"Journal of Scientometric Research","volume":"1 1","pages":""},"PeriodicalIF":0.8,"publicationDate":"2022-09-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"88908353","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

Empirical Study on Citation Count Prediction of Research Articles 科研论文被引次数预测的实证研究

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Journal of Scientometric Research Pub Date : 2022-09-13 DOI: 10.5530/jscires.11.2.17

M. Enduri, V. U. Sankar, K. Hajarathaiah

{"title":"Empirical Study on Citation Count Prediction of Research Articles","authors":"M. Enduri, V. U. Sankar, K. Hajarathaiah","doi":"10.5530/jscires.11.2.17","DOIUrl":"https://doi.org/10.5530/jscires.11.2.17","url":null,"abstract":"Citation is a measure that quantifies the impact of the researcher, research article and journal’s quality. Investigating the citation of articles and/or researchers is one of the important tasks in the research community. So, understanding and predicting citation patterns of research articles has become popular in scientific research fields. In this work, we give a machine learning approach to predict the citations of research articles using the keywords. We study the citation impact based on keywords motioned in the articles using the data set of publications which are published in the various physical review journals from 1985-2012. In this dataset, for each publication is allocated some PACS codes (keywords) by their authors which represent a sub-field of Physics. In this work, we are investigating the impact of PACS codes of article on article’s citation. We are performing our analysis on the first (sub-field of physics), second (sub area of sub-field of physics) and third level of PACS codes. We observed that compared to the first level, every pair of citation patterns of the second level is highly correlated. We also obtained a universal approximation curve for the third level that matches with the average value of the first level. This curve looks like a shifted and scaled version of the Gaussian function and is right skewed. We can also predict the citations based on the keywords by using this universal curve.","PeriodicalId":43282,"journal":{"name":"Journal of Scientometric Research","volume":"13 1","pages":""},"PeriodicalIF":0.8,"publicationDate":"2022-09-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"78918057","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: 2

A Bibliometric Analysis of Studies on ‘Start-up Success’ Covering the Period 1981-2019 1981-2019年“创业成功”研究的文献计量学分析

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Journal of Scientometric Research Pub Date : 2022-09-13 DOI: 10.5530/jscires.11.2.23

T. Le, Hiep-Hung Pham, Van Binh Tran

{"title":"A Bibliometric Analysis of Studies on ‘Start-up Success’ Covering the Period 1981-2019","authors":"T. Le, Hiep-Hung Pham, Van Binh Tran","doi":"10.5530/jscires.11.2.23","DOIUrl":"https://doi.org/10.5530/jscires.11.2.23","url":null,"abstract":"Despite being received increasing attention from academic scholars, there have yet any review study on the topic of start-up success. This work fulfills this research gap by investigating 1554 start-up success documents collected from Scopus dataset between 1981 and 2019. Using bibliometric analysis, we reveal that the topic of start-up success only receives more attention from academic scholars since 2011 onwards. Regarding geographical distribution, the US, Germany, and the UK are the three countries contributing the highest number of start-up success related documents. Besides, it’s revealed that 305 (or 19.6%) start-up success documents were published in the top 20 journals. The co-author analysis found that the research groups of start-up success are still small and dispersed and there was a lack of continuity in the research. The science mapping identified six main topics of start-up success, including: (1) Business in General, (2) Start-up Ecosystem, (iii) Academic Start-up, (iv) Drivers of Start-up Success, (v) Resources for start-up, and (vi) Start-up Model. The study’s findings provide implications for stakeholders, academic","PeriodicalId":43282,"journal":{"name":"Journal of Scientometric Research","volume":"32 1","pages":""},"PeriodicalIF":0.8,"publicationDate":"2022-09-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"85846670","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

Bibliometric Analysis of High-performance Organization Literature Review: 1984 till 2020 高绩效组织的文献计量分析。文献综述:1984 - 2020

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Journal of Scientometric Research Pub Date : 2022-09-13 DOI: 10.5530/jscires.11.2.22

Muhammad Shahid Iqbal, Mohd Faizal Mohd Isa, Fadzli Shah Abd Aziz

{"title":"Bibliometric Analysis of High-performance Organization Literature Review: 1984 till 2020","authors":"Muhammad Shahid Iqbal, Mohd Faizal Mohd Isa, Fadzli Shah Abd Aziz","doi":"10.5530/jscires.11.2.22","DOIUrl":"https://doi.org/10.5530/jscires.11.2.22","url":null,"abstract":"The discussion on the high-performance organization (HPO) emerged in early 1984. The terminology of the high-performance organization has attracted scholars to study the concept of the HPO, its related factors, and its outcome toward the organization’s goals. Since then, scholars have frequently used the term “High-Performance Organization” further to investigate the development of the concept in this area. The objective of this study is to depict the systematic review of literature on high-performance organizations which had been published in the Scopus journals from 1984 to 2020. Based on the Scopus database, all published articles related to high organization performance were compiled and integrated as the data. VOS viewer (visualization of similarities) Publish or Perish and Microsoft Exel software has been used to process the collected data. A total of 199 documents were analyzed and found much of the high-performance organization-related work was conducted in the United States and the Netherlands. Mainly, business management and social sciences have been focused in high-performance organization literature however other important areas such as Material science, Pharmaceutics, Chemical Engineering, Chemistry, and Mathematics have been ignored and paid less attention. This study examines the history of the HPO scientific literature and identifies current research objectives, as well as future research paths and dimensions in the field. Success, Performance.","PeriodicalId":43282,"journal":{"name":"Journal of Scientometric Research","volume":"38 1","pages":""},"PeriodicalIF":0.8,"publicationDate":"2022-09-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"74727318","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: 2