Journal of Scientometric Research最新文献_第5页

Discovering Search Space Using M-distance Clustering of Semantic Relatedness Based Weighted Network for the Content-based Recommender System 基于语义关联的加权网络m距离聚类发现搜索空间的内容推荐系统

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Journal of Scientometric Research Pub Date : 2023-08-06 DOI: 10.5530/jscires.12.2.024

Mayur Makawana, Rupa G. Mehta

{"title":"Discovering Search Space Using M-distance Clustering of Semantic Relatedness Based Weighted Network for the Content-based Recommender System","authors":"Mayur Makawana, Rupa G. Mehta","doi":"10.5530/jscires.12.2.024","DOIUrl":"https://doi.org/10.5530/jscires.12.2.024","url":null,"abstract":"As part of the research process, relevant documents are identified to keep up with the latest advancements in the domain. Document recommendation systems are used by researchers as a means of accomplishing this goal. Textual content, collaborative filtering, and citation information-based approaches are among the proposed approaches for the recommendation systems. Content-based techniques take advantage of the entire text of papers and produce more promising results, but comparing input document text data to every document in the dataset is not practical for the content-based recommender system. This study looks into the possibility of using bibliographic data to reduce the number of comparisons. The proposed system is based on the assumption that two scientific papers are semantically connected if they are co-cited more frequently than by chance. The likelihood of co-citation, also known as semantic relatedness, can be used to quantify this connection. This work presents a new way to distribute the weight among connected scholarly documents based on a semantic relatedness score. Our proposed solution eliminates a substantial amount of needless text comparisons for the system by gathering scholarly document pairs with high likelihood values and using them as a search area for the content-based recommender system. By spreading the co-citation relationship out to certain distances, the proposed approach can find relevant documents that are not found by traditional co-citation searches. The results reveal that the system is capable of reducing computations by a significant margin and of detecting false positive situations in content comparison using Doc2vec.","PeriodicalId":43282,"journal":{"name":"Journal of Scientometric Research","volume":"7 1","pages":""},"PeriodicalIF":0.8,"publicationDate":"2023-08-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"85691159","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

Machine Learning-based Predictive Systems in Higher Education: A Bibliometric Analysis 高等教育中基于机器学习的预测系统:文献计量分析

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Journal of Scientometric Research Pub Date : 2023-08-06 DOI: 10.5530/jscires.12.2.040

Fati Tahiru, Steven. Parbanath, Samuel Agbesi

{"title":"Machine Learning-based Predictive Systems in Higher Education: A Bibliometric Analysis","authors":"Fati Tahiru, Steven. Parbanath, Samuel Agbesi","doi":"10.5530/jscires.12.2.040","DOIUrl":"https://doi.org/10.5530/jscires.12.2.040","url":null,"abstract":"This paper aims to comprehensively review the present state and research trends in predictive systems in higher education. It also addresses the research contribution of countries in Machine Learning-based predictive systems in higher education to depict the research landscape given the growing number of related publications. A bibliometric analysis of publications on predictive systems in education published in the Scopus Database from 2015 to 2022 was conducted. The dataset obtained covered the contribution of authors, affiliations, countries, themes and trends in the field of Machine Learning-based predictive systems in higher education. A total of 72 publications with 3408 cited references were collected from Scopus for the bibliometric analysis. The technique used for the bibliometric analysis included performance analysis and science mapping. Research on Machine Learning-based predictive systems has been widely published from 2020 to 2022. Researchers in China, Belgium, Spain, India, and Korea were most active in researching Machine Learning-based predictive systems in education. However, international collaborations have remained infrequent except for the few involving Australia, Belgium, and Canada. There is a lack of research in the subject area in Africa. This study illustrates the intellectual landscape of Machine Learning-based predictive systems in higher education and the field's evolution and emerging trends. The findings highlight the area of research concentration and the most recent developments and suggest future research collaborations on a larger scale as well as additional research on the implementation of","PeriodicalId":43282,"journal":{"name":"Journal of Scientometric Research","volume":"3 1","pages":""},"PeriodicalIF":0.8,"publicationDate":"2023-08-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"89721993","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

CRISPR-Cas9 Genome Editing: A Brief Scientometric Insight on Scientific Production and Knowledge Structure CRISPR-Cas9基因组编辑:科学生产和知识结构的科学计量学见解

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Journal of Scientometric Research Pub Date : 2023-08-06 DOI: 10.5530/jscires.12.2.035

Muhammad Farid Azlan Halmi, Mohd Amirul Faiz Zulkifli, Kamal Hisham Kamarul Zaman

{"title":"CRISPR-Cas9 Genome Editing: A Brief Scientometric Insight on Scientific Production and Knowledge Structure","authors":"Muhammad Farid Azlan Halmi, Mohd Amirul Faiz Zulkifli, Kamal Hisham Kamarul Zaman","doi":"10.5530/jscires.12.2.035","DOIUrl":"https://doi.org/10.5530/jscires.12.2.035","url":null,"abstract":"The Clustered Regularly Interspaced Short Palindromic Repeats (CRISPR)-associated protein 9 (CRISPR-Cas9) is a promising molecular tool that has revolutionised genome editing and was recognised with the Nobel Prize in Chemistry in 2020. This study assesses the scientific productivity and knowledge structure in the scientific domain of CRISPR-Cas9 genome editing up to 2022. A total of 12,799 publications were retrieved from the Science Citation Index Expanded (SCIE) database within the Web of Science (WoS), employing related keyword searches. The records were published by authors from 107 countries in 1,731 journals. Of the total scientific publications, 499,895 total citations were found, with 39.06 average citations per publication. The United States of America dominated the research and is currently the global leader in this area with the most publications and prolific top institutions. Visualisation analysis for mapping research trends based on co-occurrences of keywords was done using VOSviewer revealing six clusters of research themes comprising; 1) conception and fundamental development; 2) gene therapy and drug delivery; 3) cancer biology; 4) plant biotechnology; 5) livestock breeding, and; 6) synthetic biology and metabolic engineering. Nanoparticle-based delivery of CRISPR-Cas9 is gaining academic attention, while CRISPR-Cas9 application in synthetic biology and metabolic engineering has progressed recently and becoming the current research interest.","PeriodicalId":43282,"journal":{"name":"Journal of Scientometric Research","volume":"42 1","pages":""},"PeriodicalIF":0.8,"publicationDate":"2023-08-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"85777225","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

Quantitative Estimation of Trends in Artificial Intelligence Research: A Study of Bradford Distributions using Leimkuhler Model 人工智能研究趋势的定量估计:用Leimkuhler模型研究Bradford分布

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Journal of Scientometric Research Pub Date : 2023-08-06 DOI: 10.5530/jscires.12.2.023

Solanki Gupta, Vivek Kumar Singh

引用次数: 0

Ocean Renewable Energy: A Comparative Study of Indian and Global Collaborative Research for Sustainability and Policy Implications 海洋可再生能源:印度与全球合作研究的可持续性和政策影响的比较研究

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Journal of Scientometric Research Pub Date : 2023-08-06 DOI: 10.5530/jscires.12.2.032

A. Kshitij, Jaideep Ghosh

{"title":"Ocean Renewable Energy: A Comparative Study of Indian and Global Collaborative Research for Sustainability and Policy Implications","authors":"A. Kshitij, Jaideep Ghosh","doi":"10.5530/jscires.12.2.032","DOIUrl":"https://doi.org/10.5530/jscires.12.2.032","url":null,"abstract":"To combat the effects of climate change and meet the need for clean energy, the global power sector, over the past few decades, has been undergoing a major transformation for which all possible renewable energy sources are currently being utilized. To achieve sustainable growth, India, like many other countries, is also in the process of energy transition, aiming to shift to renewable energy-based power generation. In this transition, research in Ocean Renewable Energy (ORE) technologies is rising to rapid prominence. This study examines the state of ORE research in India and compares it with global research activities in this field using a graph-theoretical framework for collaboration co-authorship networks in ORE using bibliometric data on published scholarly articles indexed in two well-known electronic databases covering two 10-year windows: 1999-2008 and 2009-2018, inclusive. A strategic analysis of a number of metrics characterizing the networks’ large-scale structures reveals that the Indian network is highly fragmented, resulting in a singular dearth of large-scale connections for Indian ORE researchers. We recommend effective research policies to improve knowledge generation and dissemination in ORE research collaboration in India (and many other countries in similar situations), based on our findings for Indian networks and pertinent parallels with global ORE. With growing concerns about sustainable energy utilization, our study has policy implications for pressing issues of energy demands in the country.","PeriodicalId":43282,"journal":{"name":"Journal of Scientometric Research","volume":"39 1","pages":""},"PeriodicalIF":0.8,"publicationDate":"2023-08-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"75628892","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 Literature on Acute Respiratory Distress Syndrome Treatments Published Between 2000 and 2019 2000 - 2019年发表的急性呼吸窘迫综合征治疗文献计量学分析

Journal of Scientometric Research Pub Date : 2023-08-06 DOI: 10.5530/jscires.12.2.038

Zong-Yu Wang, Zhi-Chao Zhou, Jie Zheng, Zhu-Kai Cong, Xi Zhu

引用次数: 0

Role of the Editor in Limiting Plagiarism or Similarity in Scholarly Journal Manuscripts 编辑在限制学术期刊稿件抄袭或相似中的作用

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Journal of Scientometric Research Pub Date : 2023-08-06 DOI: 10.5530/jscires.12.2.047

K. C. Garg, Ritu Nagpal

{"title":"Role of the Editor in Limiting Plagiarism or Similarity in Scholarly Journal Manuscripts","authors":"K. C. Garg, Ritu Nagpal","doi":"10.5530/jscires.12.2.047","DOIUrl":"https://doi.org/10.5530/jscires.12.2.047","url":null,"abstract":"This brief communication is the outcome of the prevailing confusion and the role of editors of several prestigious journals published in India in different disciplines of science and social science including the discipline of library and information science. These journals use different Plagiarism Detection Tools (PDTs) or Plagiarism Detection Software (PDS) to assess the similarity score of the submitted manuscript. These PDTs are helpful to avoid questions raised on the academic integrity of the submitted manuscript. For every submission, the editor of the journal generates a similarity report and communicates the results of the similarity index to the scholars verbatim. It is not judicious for the editor of the journal to simply rely on the percentage of similarity index suggested by the PDT. Human intervention is required to rule out the facts by a thorough inspection of every single matching. Also, an acceptable percentage of similarity for a manuscript needs a critical analysis. Based on the set guidelines of the academic regulatory bodies, an acceptable percentage of similarity for a manuscript is considered as minor or level 0 if it is 10%. The present communication draws attention towards this malice as a lot of time of the author/scholar is devoted to incorporate small changes which do not serve any useful purpose to the manuscript and the journal.","PeriodicalId":43282,"journal":{"name":"Journal of Scientometric Research","volume":"3 1","pages":""},"PeriodicalIF":0.8,"publicationDate":"2023-08-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"82802243","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

How do Organizations and Employees Perceive and Respond to a Crisis: A Co-citation and Co-word Analysis 组织和员工如何感知和应对危机:共引和共词分析

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Journal of Scientometric Research Pub Date : 2023-08-06 DOI: 10.5530/jscires.12.2.028

Thinh-Van Vu

{"title":"How do Organizations and Employees Perceive and Respond to a Crisis: A Co-citation and Co-word Analysis","authors":"Thinh-Van Vu","doi":"10.5530/jscires.12.2.028","DOIUrl":"https://doi.org/10.5530/jscires.12.2.028","url":null,"abstract":"This study aims to provide an overview of the state-of-the-art research at the intersection of how organizations and employees perceive and respond to a crisis. By using scientific mapping, the study also seeks to ascertain the intellectual structure of the knowledge base and highlight trends on the topic. Using the Web of Science (WoS) database, 546 publications were chosen for further examination. The research employed bibliometric indicators such as authors, documents, journals, field publications, and countries. In addition, VOSviewer was used to perform science mapping analyses such as co-word and co-citation. This study finds that scholars are increasingly interested in this topic, as evidenced by a growing trend in the academic literature. The six clusters in co-citation networks are identified as the pillars of the theoretical foundation of research on this topic. Moreover, by classifying keywords into seven themes, the research explores thematic trends on this topic. The results find that “Remote work, work-family conflict, and work-life balance” emerged as an emerging trend within 2020–2022. Furthermore, the findings reveal several new keywords have appeared in the research fields since the COVID-19 outbreak. This study indicates the most important emerging themes, research topics, and critical debates and then outlines potential avenues for future research.","PeriodicalId":43282,"journal":{"name":"Journal of Scientometric Research","volume":"167 1","pages":""},"PeriodicalIF":0.8,"publicationDate":"2023-08-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"83347029","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

A Pathway to Counterproductive Knowledge Behaviour: Integrating Knowledge Hoarding, Knowledge Withholding, and Knowledge Hiding 反生产知识行为的途径:整合知识囤积、知识隐瞒和知识隐藏

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Journal of Scientometric Research Pub Date : 2023-04-17 DOI: 10.5530/jscires.12.1.019

Z. Zamrudi

{"title":"A Pathway to Counterproductive Knowledge Behaviour: Integrating Knowledge Hoarding, Knowledge Withholding, and Knowledge Hiding","authors":"Z. Zamrudi","doi":"10.5530/jscires.12.1.019","DOIUrl":"https://doi.org/10.5530/jscires.12.1.019","url":null,"abstract":"Introduction: Counterproductive knowledge behaviour is considered to negatively impact all organizations, either in business or public institutions. Objectives: This study aims to provide a comprehensive picture of knowledge management, integrating three counterproductive knowledge behaviours: knowledge hoarding, knowledge withholding, and knowledge hiding. Materials and Methods: This study uses a bibliometric approach using 337 documents from the Scopus database to understand the field development behind counterproductive knowledge behaviours. The data analysis involves the evaluation of performance analysis and thematic mapping. The performance analysis is aimed to understand the pioneering authors and manuscripts within the field, while the scientific maps aim to depict the thematic development of current fields. The performance analysis results discover pioneering authors, trending topics, prominent sources and articles, and country-wise performance. Results: The performance analysis indicates growing interest since 2011 mainly published in “knowledge” theme journal, mainly authored by Chinese researcher. However, from the authorship results, this research also pin-point pioneering author within the field. The results from scientific map analysis indicate different concepts between knowledge hoarding, knowledge withholding, and knowledge hiding while at the same time discovering the position of knowledge sharing within these three concepts. This study also discovers several basic theories on counterproductive knowledge behaviour. Conclusion: This research contributes to the scientific community by comprehensively combining the performance and scientific map analysis to measure the research development in counterproductive knowledge behaviour. Additionally, this paper provide future research agenda within the fields inviting future researcher to explore any potential theoretical integration, model integration such as involving technological aspect.","PeriodicalId":43282,"journal":{"name":"Journal of Scientometric Research","volume":"65 1","pages":""},"PeriodicalIF":0.8,"publicationDate":"2023-04-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"89605202","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

A Comparative Study of Criteria and Indicators of Local, Regional, and National University Ranking Systems 地方、区域和国家大学排名系统的标准和指标的比较研究

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Journal of Scientometric Research Pub Date : 2023-04-17 DOI: 10.5530/jscires.12.1.009

Farideh Osareh, Parastoo Parsaei-Mohammadi, A. Farajpahlou, Farajolah Rahimi

{"title":"A Comparative Study of Criteria and Indicators of Local, Regional, and National University Ranking Systems","authors":"Farideh Osareh, Parastoo Parsaei-Mohammadi, A. Farajpahlou, Farajolah Rahimi","doi":"10.5530/jscires.12.1.009","DOIUrl":"https://doi.org/10.5530/jscires.12.1.009","url":null,"abstract":"University ranking systems are among the topics of interest in scientometric studies. This study aims to identify and rank the most important criteria and indicators of global, regional, and national university ranking systems. In this descriptive study, the criteria and indicators of 34 global rankings, 23 regional rankings, 88 national rankings, and 145 university rankings were reviewed. Criteria and indicators of each ranking system were written on special worksheets. Data were analyzed using descriptive statistics such as frequency, frequency percentage, and cumulative frequency. After combining the identified criteria and indicators, 17 criteria and 397 indicators were extracted. The results showed that in academic ranking systems, the criteria of research, education, students, financial factors, internationalization, and regional interactions emphasized more than other cases. today, universities and institutions of higher education will no longer be able to carry out the new missions of scientific societies in the process of producing knowledge and wealth by using only the traditional functions of the university, namely education and research. This article shows the current trends in the national, regional, and international ranking of universities, which can provide a perspective for the development of ranking systems and increase the quality of","PeriodicalId":43282,"journal":{"name":"Journal of Scientometric Research","volume":"35 1","pages":""},"PeriodicalIF":0.8,"publicationDate":"2023-04-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"86858367","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: 1