Pub Date : 2022-01-02DOI: 10.1080/09737766.2022.2103907
B. Markscheffel
{"title":"From the Editor’s Desk","authors":"B. Markscheffel","doi":"10.1080/09737766.2022.2103907","DOIUrl":"https://doi.org/10.1080/09737766.2022.2103907","url":null,"abstract":"","PeriodicalId":10501,"journal":{"name":"COLLNET Journal of Scientometrics and Information Management","volume":"16 1","pages":"1 - 2"},"PeriodicalIF":1.0,"publicationDate":"2022-01-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"43407694","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}
Pub Date : 2022-01-02DOI: 10.1080/09737766.2022.2063091
Ishan Mishra, Preeti Mulay, Neeru Bhagat
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.
{"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}
Pub Date : 2022-01-02DOI: 10.1080/09737766.2021.2011629
Kaiyum Shaikh, Sibsankar Jana
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.
本研究涵盖了全球有机农业研究绩效的模式。科学分析和结果引用用于调查国家的科学代表性。本研究基于2010年至2019年期间有机农业研究的产出出版物进行。从Web of Science（WoS）核心收集数据库中收集了10704份出版物数据。数据分析使用BibExcel、Vosviewer、R统计软件和MS Excel。该研究发现了有机农业研究的不同方面，如出版物的增加、文献类型、多产作者、合著者的网络分析、作者的共同引用、参与的机构、国家以及出版物的来源影响。出版物数量最多的是2019年的1413份记录，最小的是2010年的796份记录。作者Lal R的出版量最高（66）。这项研究表明了有机农业的年度科学产量、引用次数、合作率等世界视角。研究人员还使用Scopus、PubMed和Chemical abstract等数据库指出了进一步的研究领域。
{"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}
Pub Date : 2021-11-22DOI: 10.1080/09737766.2021.1989989
K. Jolvis Pou, V. Raghavan, M. Packirisamy
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.
在过去的几年里，微流控技术因其系统的小型化和与传统的宏观系统相比的一些优点而受到了极大的关注。本研究的目的是确定微流体在食品分析和加工中的应用的全球研究趋势。利用检索关键词“Microfluidics OR microfluidic”和food (TITLE-ABS-KEY)进行数据挖掘，基于Scopus数据库对相关文献进行评估和筛选，得到745篇文献。其中，论文478篇(64.16%)，综述论文140篇(18.8%)，会议论文95篇(12.75%)，图书章节26篇(3.49%)，其他6篇(0.8%)。记录显示，第一份关于食品微流体的文件发表于2003年。72.08%的文献发表于最近6年(2015 - 2020年)。在评估期间，中国和美国是食品微流体研究成果最多的国家。普渡大学以31篇文献和816次引用位居榜首。李彦斌是最多产的作家，发表了20篇论文。分析表明，《生物传感器》、《生物电子学》和《芯片上的实验室》分别是发表次数和引用次数最多的期刊。该研究表明，微流体技术在食品领域的应用相对较新，尚处于发展阶段。预计将在世界范围内开展密集的研究活动。
{"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}
Pub Date : 2021-11-22DOI: 10.1080/09737766.2021.1978826
J. Fanourgiakis, C. Panagiotakis, I. Konstantourakis
{"title":"Exploring the research-based ranking and the university impact in Greece : A case of peripheral departments of management and economics","authors":"J. Fanourgiakis, C. Panagiotakis, I. Konstantourakis","doi":"10.1080/09737766.2021.1978826","DOIUrl":"https://doi.org/10.1080/09737766.2021.1978826","url":null,"abstract":"","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":"43554254","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}
Pub Date : 2021-11-21DOI: 10.1080/09737766.2021.1989988
Boris Forthmann, C. Szardenings
Correlations are ubiquitous in scientometric research. The present work illustrates a formula to quantify the predicted correlation between a composite indicator and a primary indicator (i.e., the composite indicator can be expressed as a weighted sum of the primary indicator), for example. Total citations received and number of self-citations or total publications and number of first-authorship publications, for example, represent such variable pairs. However, predicted correlation has a far wider range of potential applications in scientometrics. It is demonstrated that the predicted correlation provides a useful reference that allows a more conclusive interpretation of the data. Ignoring the outlined approach can result in overlooking of robust correlational patterns in the data. This is illustrated by a small simulation and two illustrations based on re-analyses of previous work. The approach can be used in new studies to understand the complete correlational pattern. In addition, the outlined approach can be used to revisit past findings reported in journal articles.
{"title":"Predicted correlation","authors":"Boris Forthmann, C. Szardenings","doi":"10.1080/09737766.2021.1989988","DOIUrl":"https://doi.org/10.1080/09737766.2021.1989988","url":null,"abstract":"Correlations are ubiquitous in scientometric research. The present work illustrates a formula to quantify the predicted correlation between a composite indicator and a primary indicator (i.e., the composite indicator can be expressed as a weighted sum of the primary indicator), for example. Total citations received and number of self-citations or total publications and number of first-authorship publications, for example, represent such variable pairs. However, predicted correlation has a far wider range of potential applications in scientometrics. It is demonstrated that the predicted correlation provides a useful reference that allows a more conclusive interpretation of the data. Ignoring the outlined approach can result in overlooking of robust correlational patterns in the data. This is illustrated by a small simulation and two illustrations based on re-analyses of previous work. The approach can be used in new studies to understand the complete correlational pattern. In addition, the outlined approach can be used to revisit past findings reported in journal articles.","PeriodicalId":10501,"journal":{"name":"COLLNET Journal of Scientometrics and Information Management","volume":"16 1","pages":"7 - 18"},"PeriodicalIF":1.0,"publicationDate":"2021-11-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"48732195","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}
Pub Date : 2021-07-03DOI: 10.1080/09737766.2021.2008780
S. A. Ganaie, J. Wani
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.
{"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}
Pub Date : 2021-07-03DOI: 10.1080/09737766.2021.1989990
Tiurma Melissa Rakhel, Prakoso Bhairawa Putera
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.
{"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}
Pub Date : 2021-07-03DOI: 10.1080/09737766.2021.1962767
Albena Vutsova, T. Hristov, Martina Arabadzhieva
The study covers the impact of the research evaluation conducted in Bulgaria. Its assessment is based on the analysis of applicable indicators regarding research publications, preparation of doctoral students, project activity - national and international, participation in networks, impact of the quality of research on funding, patents, and innovative environment. Main regulative papers and assessment bodies are considered. Most of the indicators are extracted and analyzed on the basis of statistics, benchmarking and correlative methodology. The figures and the trends are from reliable sources. The conclusions are that despite the different influence on certain parameters of the scientific system, the impact of research is positive and mostly useful in the development and improvement of the overall capacity of the Bulgarian Research System.
{"title":"Impact assessment of research evaluation in Bulgaria","authors":"Albena Vutsova, T. Hristov, Martina Arabadzhieva","doi":"10.1080/09737766.2021.1962767","DOIUrl":"https://doi.org/10.1080/09737766.2021.1962767","url":null,"abstract":"The study covers the impact of the research evaluation conducted in Bulgaria. Its assessment is based on the analysis of applicable indicators regarding research publications, preparation of doctoral students, project activity - national and international, participation in networks, impact of the quality of research on funding, patents, and innovative environment. Main regulative papers and assessment bodies are considered. Most of the indicators are extracted and analyzed on the basis of statistics, benchmarking and correlative methodology. The figures and the trends are from reliable sources. The conclusions are that despite the different influence on certain parameters of the scientific system, the impact of research is positive and mostly useful in the development and improvement of the overall capacity of the Bulgarian Research System.","PeriodicalId":10501,"journal":{"name":"COLLNET Journal of Scientometrics and Information Management","volume":"15 1","pages":"341 - 364"},"PeriodicalIF":1.0,"publicationDate":"2021-07-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"42542930","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}
Pub Date : 2021-07-03DOI: 10.1080/09737766.2021.1960220
B. Markscheffel, Felix Schröter
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.
{"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}
京公网安备 11010802042870号
京ICP备2023020795号-1
扫码关注我们
求助内容：
应助结果提醒方式：