COLLNET Journal of Scientometrics and Information Management最新文献_第7页

Mining interdisciplinary trajectories using multiple path analysis 使用多路径分析挖掘跨学科轨迹

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COLLNET Journal of Scientometrics and Information Management Pub Date : 2020-07-02 DOI: 10.1080/09737766.2021.1920066

H. Lathabai, T. Prabhakaran, Susan George, M. Changat

引用次数: 0

The impact of internet access on cloud computing research in Africa: Analysis of bibliometric and online search data 互联网接入对非洲云计算研究的影响:文献计量学和在线搜索数据分析

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COLLNET Journal of Scientometrics and Information Management Pub Date : 2020-07-02 DOI: 10.1080/09737766.2021.1927881

Azubuike Ezenwoke, Onyeka Emebo

引用次数: 4

Knowledge mapping in the discipline of financial literacy and charting the future directions 金融素养学科的知识图谱和未来方向图

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COLLNET Journal of Scientometrics and Information Management Pub Date : 2020-07-02 DOI: 10.1080/09737766.2020.1841584

Biswajit Prasad Chhatoi, Sharada Prasad Sahoo, Durga Prasad Nayak

引用次数: 0

Web citation analysis of Library and Information Science and Communication and Media Studies journals : A comparative study 《图书馆情报学》与《传播与媒介研究》期刊网络引文分析比较研究

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COLLNET Journal of Scientometrics and Information Management Pub Date : 2020-07-02 DOI: 10.1080/09737766.2021.1915721

B. Niveditha, Mallinath Kumbar

{"title":"Web citation analysis of Library and Information Science and Communication and Media Studies journals : A comparative study","authors":"B. Niveditha, Mallinath Kumbar","doi":"10.1080/09737766.2021.1915721","DOIUrl":"https://doi.org/10.1080/09737766.2021.1915721","url":null,"abstract":"The present study examines the availability of web citations in scholarly journals of Library and Information Science and Communication and Media Studies. The journals were selected based on their high impact factor published between 2008 and 2017. A PHP script was used to crawl the Uniform Resource Locators collected from the references. A total of 12,251 articles were downloaded and 5,55,428 references were extracted. A total of 1,02,718 URLs were checked for their availability. Further, the lexical features of URL like file extension, path depth, character length and the top-level domain were determined. The research findings indicated that the percentage of web citations in articles has been continuously increased from 2008 to 2017 in both disciplines. The result of the accessibility check indicated that more number of URLs in CMS journal articles were accessible than in LIS journal articles. The majority of errors in both the disciplines were due to HTTP 404 error code (Not found error). The findings of the study will be helpful to authors, publishers and editorial staff to ensure that web citations will be accessible in future.","PeriodicalId":10501,"journal":{"name":"COLLNET Journal of Scientometrics and Information Management","volume":"14 1","pages":"335 - 348"},"PeriodicalIF":1.0,"publicationDate":"2020-07-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1080/09737766.2021.1915721","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"43398289","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

The exploration of travel motivation research : A scientometric analysis based on CiteSpace 旅游动机研究的探索:基于CiteSpace的科学计量分析

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COLLNET Journal of Scientometrics and Information Management Pub Date : 2020-07-02 DOI: 10.1080/09737766.2021.1906779

Jin Chen, Wei Zhou

{"title":"The exploration of travel motivation research : A scientometric analysis based on CiteSpace","authors":"Jin Chen, Wei Zhou","doi":"10.1080/09737766.2021.1906779","DOIUrl":"https://doi.org/10.1080/09737766.2021.1906779","url":null,"abstract":"In the tourism industry, it is becoming increasingly significant to answer the question “why do we travel”. There are various methods and perspectives to answer this question, but few studies focus on the development of travel motivation research. As a result, by investigating 1675 publications from 1990 to 2019, we provide a comprehensive bibliometric analysis of the status quo and emerging trends of tourist travel motivation research. The findings are as follows: (1) The active countries in this area are The USA, The UK, China and Australia. (2) “Tourist personal values” and “preferences” are the emerging trends in recent years. (4) Most of travel motivation studies belong to the disciplines of social science, hospitality, business & economics, environmental science & ecology, management, transportation, engineering and psychology. By analyzing the development of travel motivation area from historical, conceptual and geographical perspectives, the hot spots in certain periods and the current status of this area are analyzed in detail. In this paper, we contribute to providing the visualized knowledge domain of travel motivation research, which helps researchers who are interested in this area to learn the development of travel motivation research in the recent 3 decades more directly. Besides, understanding the research fronts in different periods also enables decision makers, especially managers in the tourism industry to know more about their consumers so that they can set effective marketing strategies accordingly.","PeriodicalId":10501,"journal":{"name":"COLLNET Journal of Scientometrics and Information Management","volume":"14 1","pages":"257 - 283"},"PeriodicalIF":1.0,"publicationDate":"2020-07-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1080/09737766.2021.1906779","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"42981680","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: 4

Measuring growth pattern and publications trends of storm surges research during (1999-2019) : A scientometric study 1999-2019年风暴潮研究增长模式与发表趋势的测量:科学计量学研究

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COLLNET Journal of Scientometrics and Information Management Pub Date : 2020-07-02 DOI: 10.1080/09737766.2021.1918031

Sidhartha Sahoo, Shriram Pandey

{"title":"Measuring growth pattern and publications trends of storm surges research during (1999-2019) : A scientometric study","authors":"Sidhartha Sahoo, Shriram Pandey","doi":"10.1080/09737766.2021.1918031","DOIUrl":"https://doi.org/10.1080/09737766.2021.1918031","url":null,"abstract":"In this paper, an attempt was made to evaluate and analyze the research output in the domain of Storm surges which were published and indexed in SCOPUS databases during 1999-2019. Detail analysis was made to understand the growth of literature, publication trends, authorship pattern, keywords, leading countries, and prominent institutes using scientometric methods in the subject domain of storm surges. It has been found that research output in this domain generally increased over the years with maximum publications in 2016. USA, followed by China, has significantly contributed towards the research growth. India holds 10th rank with (3.98%) share of papers along with total citations of (3363) and h-index 30. Top 15 journals were published about 1586 (22.30%) papers and received 30.51% (28915) of total citations. Relative Citation Impact value is highest for UK (1.99) closely followed by Netherland (1.60), France (1.55) and Italy (1.55).The value of RCI is less than the world average for India (0.89). Multi authors papers are predominant than a single author. National Science Foundation, National Natural Science Foundation of China. NOAA, NERC, Japan Society for the Promotion of Science and European Commission are a prominent agency which provides funding support for the advancement of the storm surges research.","PeriodicalId":10501,"journal":{"name":"COLLNET Journal of Scientometrics and Information Management","volume":"14 1","pages":"237 - 256"},"PeriodicalIF":1.0,"publicationDate":"2020-07-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1080/09737766.2021.1918031","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"46590256","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 yoga scientific publications : An analysis of PubMed database 1948 - 2018 瑜伽科学出版物的文献计量学分析:PubMed数据库1948 - 2018的分析

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COLLNET Journal of Scientometrics and Information Management Pub Date : 2020-07-02 DOI: 10.1080/09737766.2021.1913976

Sendhilkumar Muthappan, K. Ilangovan, Rathinavel Subramanian, Mantela Durairajan, R. Elumalai

{"title":"Bibliometric analysis of yoga scientific publications : An analysis of PubMed database 1948 - 2018","authors":"Sendhilkumar Muthappan, K. Ilangovan, Rathinavel Subramanian, Mantela Durairajan, R. Elumalai","doi":"10.1080/09737766.2021.1913976","DOIUrl":"https://doi.org/10.1080/09737766.2021.1913976","url":null,"abstract":"Background : Bibliometrics is a tool used to achieve quantitative research assessment exercises of academic output in the field of scientific research. Yoga is practiced in different parts of the world. Yoga acknowledges the unity of mind, body and spirit, mind-body fitness, and helps people pursue peace and mindfulness in their lives. This bibliometric study aims to map the trend of yoga research globally using bibliometric tools. Methods : We have employed advance search in PubMed using the specific MeSH term “Yoga” and other yoga similar words such as “Yogic”, “Pranayama” and “Asana”. We haven’t restricted the timeline or country-specific for the search. We have curated the bibliometric data by the year of publication, by the name of the journal, and by the number of authors contributed. Findings : We retrieved 4,320 research papers from the PubMed database. The research article publications on yoga have increased tenfold after the year 2000. The original articles and clinical studies were common articles published over the last two decades in the yoga system. The International Journal of Yoga has the highest number of yoga research publications. Nearly 80 % of articles were published by less than five authors. Conclusion : Globally, increased investment and high attention on yoga have resulted in an increase in research publications. The scientific study of Yoga has increased substantially in recent years and many clinical trials have been designed to assess its therapeutic effects and benefits.","PeriodicalId":10501,"journal":{"name":"COLLNET Journal of Scientometrics and Information Management","volume":"14 1","pages":"301 - 309"},"PeriodicalIF":1.0,"publicationDate":"2020-07-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1080/09737766.2021.1913976","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"46716911","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: 4

Buonocore research in adhesive dentistry : A remarkable sleeping paper 粘性牙科中的Buonocore研究：一张引人注目的睡眠纸

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COLLNET Journal of Scientometrics and Information Management Pub Date : 2020-07-02 DOI: 10.1080/09737766.2021.1906182

P. Kokol, Grega Zlahtic, J. Završnik, Helena Blažun Vošner

引用次数: 0

A bibliometric analysis of artificial intelligence publications from 1991 to 2018 1991年至2018年人工智能出版物的文献计量分析

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COLLNET Journal of Scientometrics and Information Management Pub Date : 2020-07-02 DOI: 10.1080/09737766.2021.1918032

Y. Ho, Ming-Huang Wang

{"title":"A bibliometric analysis of artificial intelligence publications from 1991 to 2018","authors":"Y. Ho, Ming-Huang Wang","doi":"10.1080/09737766.2021.1918032","DOIUrl":"https://doi.org/10.1080/09737766.2021.1918032","url":null,"abstract":"This study aimed to analyze the characteristics of artificial intelligence-related publications in Science Citation Index Expanded (SCIEXPANDED) from 1991 to 2018. The analyzed aspects covered distribution of annual publications, citations per publication, journals, Web of Science categories, countries, institutions, as well as research foci and their trends. A total of 13,251 artificial intelligence-related articles were found. Articles were published in a wide range of journals and Web of Science categories. The United States took the lead position in total, single country, international collaboration, and first, corresponding, and single author articles as well as citations per publication among 119 countries. Chinese Academy of Sciences in China, Islamic Azad University in Iran, and Massachusetts Institute of Technology (MIT) in USA were the three most productive institutions. MIT had higher citations per publication. An international collaborative article by authors from Canada, the United States, and Switzerland was the most frequently cited article with the most total citations from Web of Science Core Collection since publication through the end of 2018. Results from word cluster analysis showed that models, neural networks, learning, and prediction were the most popular topics and features, classification, and optimization might be focus in artificial intelligence research.","PeriodicalId":10501,"journal":{"name":"COLLNET Journal of Scientometrics and Information Management","volume":"14 1","pages":"369 - 392"},"PeriodicalIF":1.0,"publicationDate":"2020-07-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1080/09737766.2021.1918032","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"47013792","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: 15

Drawbacks to h-index, as a factor assessing the scientific impact and the scientific credit of a researcher h指数作为评估研究人员科学影响力和科学信誉的因素的缺点

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COLLNET Journal of Scientometrics and Information Management Pub Date : 2020-07-02 DOI: 10.1080/09737766.2021.1906183

Arman Rahimmi

{"title":"Drawbacks to h-index, as a factor assessing the scientific impact and the scientific credit of a researcher","authors":"Arman Rahimmi","doi":"10.1080/09737766.2021.1906183","DOIUrl":"https://doi.org/10.1080/09737766.2021.1906183","url":null,"abstract":"Nowadays, h-index is considered as an important factor to assess the productivity and citation impact of researchers’ publications. Indeed, Jorge E. Hirsch, a physicist at University of California San Diego, developed and suggested h-index in 2005. At the time, h-index could present a score, which successfully integrated the number of articles and citations for a researcher. Thus, it could simultaneously assess the quality and quantity of a researcher’s total publications. It was also simple and easy to understand. Accordingly, h-index received much attention all around the world and became popular very soon. So that, currently in many scientific societies, it is considered as a factor to compare the scientific impact and credit of researchers. However, h-index has received many criticisms since its introduction. Here, I want to mention some of its defects and weaknesses, as a factor assessing the scientific impact and credit of researchers, from my point of view. However, these defects also has been discussed previously in different manners. Finally, this letter is going to conclude that nowadays, we need a more comprehensive ranking-factor (as an appropriate alternative for h-index) that keeps the advantages of h-index, while lacks its weaknesses.","PeriodicalId":10501,"journal":{"name":"COLLNET Journal of Scientometrics and Information Management","volume":"14 1","pages":"331 - 333"},"PeriodicalIF":1.0,"publicationDate":"2020-07-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1080/09737766.2021.1906183","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"45713029","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