COLLNET Journal of Scientometrics and Information Management最新文献_第4页

From the Editor’s Desk 从编辑部

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COLLNET Journal of Scientometrics and Information Management Pub Date : 2022-01-02 DOI: 10.1080/09737766.2022.2103907

B. Markscheffel

引用次数: 0

Novel model for predicting the future volume of research articles on applications of Quantum Dots 预测量子点应用研究文章未来数量的新模型

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COLLNET Journal of Scientometrics and Information Management Pub Date : 2022-01-02 DOI: 10.1080/09737766.2022.2063091

Ishan Mishra, Preeti Mulay, Neeru Bhagat

{"title":"Novel model for predicting the future volume of research articles on applications of Quantum Dots","authors":"Ishan Mishra, Preeti Mulay, Neeru Bhagat","doi":"10.1080/09737766.2022.2063091","DOIUrl":"https://doi.org/10.1080/09737766.2022.2063091","url":null,"abstract":"The paper aims to briefly introduce to the topic of quantum heterostructures taking Quantum Dots (QD) as the topic of interest. It reviews different mathematical models explaining the behaviour of QD, and it proposes a novel method to predict the future article volumes on the topic of applications of QD. The paper also reviews the use of QD in quantum computing. The paper opted for a numerical approach to predict future article volumes. Firstly, bibliometric data for the past 40 years is collected and then by assuming a relationship between relevant variables, a governing equation is developed which is then solved using the Finite Difference Method (FDM). The paper provides insights into how a prediction model can be developed without using tons of metrics. It also suggests that a prediction model can be developed using only the past behaviour of the concerned dataset. Due to the chosen research approach, the effectiveness of the model may be less. Therefore, researchers are encouraged to test the proposed method further. The paper includes the practical implications of an easily analysed and executable model. The paper also shows that the model proposed can not only be used to predict future article volumes but also to predict datasets that exhibit a quasi-linear nature. This paper fulfils the need for a new, easier prediction method.","PeriodicalId":10501,"journal":{"name":"COLLNET Journal of Scientometrics and Information Management","volume":"16 1","pages":"187 - 213"},"PeriodicalIF":1.0,"publicationDate":"2022-01-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"43738893","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

Scientometric mapping of organic farming research performance in the global perspective during 2010-2019 2010-2019年全球有机农业研究绩效的科学计量图

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COLLNET Journal of Scientometrics and Information Management Pub Date : 2022-01-02 DOI: 10.1080/09737766.2021.2011629

Kaiyum Shaikh, Sibsankar Jana

{"title":"Scientometric mapping of organic farming research performance in the global perspective during 2010-2019","authors":"Kaiyum Shaikh, Sibsankar Jana","doi":"10.1080/09737766.2021.2011629","DOIUrl":"https://doi.org/10.1080/09737766.2021.2011629","url":null,"abstract":"This study covers the pattern of organic farming research performance at the global level. The scientific analysis and outcome citations are used to investigate the scientific representation of the country. This study is conducted based on the output publications in organic farming research during the period 2010 to 2019. A total number of 10704 publication data were collected from the Web of Science (WoS) core collection database. BibExcel, Vosviewer, R statistical software, and MS Excel are used for data analysis. The study found different aspects of organic farming research such as increment of publications, document types, prolific authors, network analysis of co-authorship, co-citations of authors, institutions, countries engaged, and source impact of publications. The maximum number of publications was in 2019 with 1413 records, and the minimum number of publications in 2010 with 796 records. The author Lal R has made the highest publications (66). This study indicates the annual scientific production of organic farming, the world perspectives of citation count, collaboration rate, and so on. Researchers have also indicated further research areas using databases such as Scopus, PubMed, and Chemical abstract.","PeriodicalId":10501,"journal":{"name":"COLLNET Journal of Scientometrics and Information Management","volume":"16 1","pages":"19 - 33"},"PeriodicalIF":1.0,"publicationDate":"2022-01-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"48249324","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

Applications of microfluidic technology in food sector: A bibliometric analysis 微流体技术在食品领域的应用:文献计量学分析

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COLLNET Journal of Scientometrics and Information Management Pub Date : 2021-11-22 DOI: 10.1080/09737766.2021.1989989

K. Jolvis Pou, V. Raghavan, M. Packirisamy

{"title":"Applications of microfluidic technology in food sector: A bibliometric analysis","authors":"K. Jolvis Pou, V. Raghavan, M. Packirisamy","doi":"10.1080/09737766.2021.1989989","DOIUrl":"https://doi.org/10.1080/09737766.2021.1989989","url":null,"abstract":"Over the past few years, microfluidic technology has gained significant attention because of its miniaturized system and provides several advantages over a conventional macroscale system. The purpose of the present study is to identify the global research trends of the applications of microfluidics in food analysis and processing. The data mining was performed using the search keywords “Microfluidics OR microfluidic” AND food (TITLE-ABS-KEY) which resulted in 745 documents after the evaluation and filtration for relevant documents based on the Scopus database. Out of this, 478 (64.16 %) were articles, 140 (18.8 %) were review papers, conference papers (95, 12.75 %), book chapters (26, 3.49 %), and others (6, 0.8 %). The record indicated that the first document in food microfluidics was published in 2003. It was observed that 72.08 % of the documents have been published in the last 6 years (20152020). China and the United States were the most productive countries in food microfluidics research during the period of assessment. Purdue University was the leading organization with 31 documents and 816 total citations. Yanbin Li was found to be the most prolific author with 20 publications. The analysis demonstrated that Biosensors and Bioelectronics and Lab on a Chip were the most active journals in terms of the number of publications and citations, respectively. This study showed that the application of microfluidics in the food sector is relatively new and the field is still in the developing stage. It is anticipated that intensive research activities will be carried out worldwide.","PeriodicalId":10501,"journal":{"name":"COLLNET Journal of Scientometrics and Information Management","volume":"1 1","pages":""},"PeriodicalIF":1.0,"publicationDate":"2021-11-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"59521756","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

Exploring the research-based ranking and the university impact in Greece : A case of peripheral departments of management and economics 希腊研究性排名与大学影响探析——以管理学和经济学外围系为例

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COLLNET Journal of Scientometrics and Information Management Pub Date : 2021-11-22 DOI: 10.1080/09737766.2021.1978826

J. Fanourgiakis, C. Panagiotakis, I. Konstantourakis

引用次数: 0

Predicted correlation 预测相关

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COLLNET Journal of Scientometrics and Information Management Pub Date : 2021-11-21 DOI: 10.1080/09737766.2021.1989988

Boris Forthmann, C. Szardenings

引用次数: 0

Bibliometric analysis and visualization of Nanotechnology Research Field 纳米技术研究领域的文献计量分析与可视化

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COLLNET Journal of Scientometrics and Information Management Pub Date : 2021-07-03 DOI: 10.1080/09737766.2021.2008780

S. A. Ganaie, J. Wani

{"title":"Bibliometric analysis and visualization of Nanotechnology Research Field","authors":"S. A. Ganaie, J. Wani","doi":"10.1080/09737766.2021.2008780","DOIUrl":"https://doi.org/10.1080/09737766.2021.2008780","url":null,"abstract":"The study investigates the scientific performance in the field of ‘NANOTECHNOLOGY’; the focal point of study remained the production, impact and collaboration. This study aims to map the co-authorship, co-occurrence, citation, bibliographic coupling, co-citation, and co-occurrence. The tools used for bibliometric data analysis were HistCite, “HistCite is a software package used for bibliometric analysis and information visualization, developed by Eugene Garfield” and VOSviewer, a software package for bibliometric networking and visualization. An underlying corpus of publications was extracted from the Science Citation Index Expanded database (SCI-EXPANDED, SSCI, A&HCI) through relevant keywords. Lexical search in the titles has identified 7037 relevant articles for the period 1996-2020. Only articles of the document type “article” were taken into consideration. The study found that “JOURNAL OF NANOPARTICLE RESEARCH” was the leading journal having maximum records/articles 83 with total global citations (TGCS) 2684. Similarly, among authors “Roco MC” was ranked at first in terms of several articles contributed 8 records with TGCS 495 but on the other hand, the highest cited articles were found by “Farokhzad OC” TGCS 893 “Langer R” TGCS 893 “Shi JJ” TGCS 893 and “Votruba AR” TGCS 893. Moreover, in institution ranking MIT was ranked the first rank followed by Harvard. This study is helpful for any researcher of Nanotechnology, Bibliometrics, Scientometrics and Information Sciences to understand research trends, scholarly output in terms of production, impact and collaboration.","PeriodicalId":10501,"journal":{"name":"COLLNET Journal of Scientometrics and Information Management","volume":"15 1","pages":"445 - 467"},"PeriodicalIF":1.0,"publicationDate":"2021-07-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"42068842","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: 8

Corruption in public procurement: A bibliometric analysis 公共采购中的腐败：文献计量学分析

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COLLNET Journal of Scientometrics and Information Management Pub Date : 2021-07-03 DOI: 10.1080/09737766.2021.1989990

Tiurma Melissa Rakhel, Prakoso Bhairawa Putera

{"title":"Corruption in public procurement: A bibliometric analysis","authors":"Tiurma Melissa Rakhel, Prakoso Bhairawa Putera","doi":"10.1080/09737766.2021.1989990","DOIUrl":"https://doi.org/10.1080/09737766.2021.1989990","url":null,"abstract":"This study aims to analyze scientific literature to discover general trends and analyze related indicators regarding corruption in public procurement. This paper applies the bibliometric methodology, utilizes the data retrieved from Scopus database from 2002 to 2020, and visualizes the data using VOSviewer. The study recovered 295 articles written by authors across nations who are focusing on the topic of corruption in procurement. From the results, it can be seen that the most influential article is the article entitled ‘Corruption and Competition in Procurement’ written by Celentani and Ganuza. In addition, the influential author is Mihaly Fazekas; he has written 14 articles and has 166 citations. From the research topic, the countries that are mostly discussed are underdeveloped and developing countries. By identifying the keywords’ network, this study found that a large volume of research area on this topic still revolves around macro factors, such as crime, transparency and e-procurement. Hence, this study encourages the scholar to further examine corruption behavior (in organizational and individual behavior) and to enhance research concerning the latest innovation on procurement ecosystem.","PeriodicalId":10501,"journal":{"name":"COLLNET Journal of Scientometrics and Information Management","volume":"15 1","pages":"397 - 412"},"PeriodicalIF":1.0,"publicationDate":"2021-07-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"46543635","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: 3

Impact assessment of research evaluation in Bulgaria 保加利亚研究评价的影响评估

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COLLNET Journal of Scientometrics and Information Management Pub Date : 2021-07-03 DOI: 10.1080/09737766.2021.1962767

Albena Vutsova, T. Hristov, Martina Arabadzhieva

引用次数: 0

Comparison of two science mapping tools based on software technical evaluation and bibliometric case studies 基于软件技术评价和文献计量学案例的两种科学制图工具的比较

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COLLNET Journal of Scientometrics and Information Management Pub Date : 2021-07-03 DOI: 10.1080/09737766.2021.1960220

B. Markscheffel, Felix Schröter

{"title":"Comparison of two science mapping tools based on software technical evaluation and bibliometric case studies","authors":"B. Markscheffel, Felix Schröter","doi":"10.1080/09737766.2021.1960220","DOIUrl":"https://doi.org/10.1080/09737766.2021.1960220","url":null,"abstract":"Bibliometrics is used to apply statistical methods to books articles, and other publication. One research topic of bibliometrics is science mapping, which examines scientific objects to determine the cognitive structure, development, and acting persons. With CiteSpace and VOSviewer two of the most popular visualization tools are compared. The evaluation of the software solutions is carried out in two steps, the first step is a purely software technical evaluation based on the framework of Jadhav and Sonar (2011). In addition to functional similarities and differences between the tools, qualitative and technical aspects are examined. Both CiteSpace and VOSviewer, share a large number of bibliometric functionalities, which are each extended by additional functions. They use different algorithms for normalization, mapping and clustering. In the second part, on the basis of own case studies, in which selected bibliometric analyses (Co-Occurrence-, Co-Citation- and Co-Authorship- analyses) are carried out, the workflow of solving a given task with these tools is analyzed and the results are evaluated. Both tools support the steps of a science mapping process, which consists of the phases of data retrieval, preprocessing, network extraction, normalization, mapping, analysis, visualization and interpretation. As a result, can be noted that visualizations created with VOSviewer have better clarity and user-friendliness. CiteSpace, on the other hand, offers advantages in the evaluative analysis of network visualizations, e.g. by enabling analysis of the cluster nodes using a Cluster Explorer.","PeriodicalId":10501,"journal":{"name":"COLLNET Journal of Scientometrics and Information Management","volume":"15 1","pages":"365 - 396"},"PeriodicalIF":1.0,"publicationDate":"2021-07-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"46099969","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: 29