Please use this identifier to cite or link to this item: http://nopr.niscpr.res.in/handle/123456789/50075
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dc.contributor.authorJalal, Samir Kumar-
dc.date.accessioned2019-08-27T11:20:33Z-
dc.date.available2019-08-27T11:20:33Z-
dc.date.issued2019-06-
dc.identifier.issn0975-2404 (Online); 0972-5423 (Print)-
dc.identifier.urihttp://nopr.niscair.res.in/handle/123456789/50075-
dc.description57-64en_US
dc.description.abstractResearch collaboration between India and Bangladesh based on research output of 1156 papers jointly produced by both countries were retrieved from Web of Science for the period of 1991 to 2017.The collaboration network on co-authorship and co-occurrences was build using BibliometrixR package. Top ten keywords have been plotted to show the subject trends in general. VOSviewer was used to build network maps to know the collaborative zones with respect to authors, subjects and keywords. The study shows that the major collaborations were in medical science followed by agriculture and biological sciences. The verification of Lotkas’s Law was made using lotka() function in Bibliometrix R package. The finding of the study shows that Lotka’s law is still valid for the co-authorship data at the international level.en_US
dc.language.isoen_USen_US
dc.publisherNISCAIR-CSIR, Indiaen_US
dc.rights CC Attribution-Noncommercial-No Derivative Works 2.5 Indiaen_US
dc.sourceALIS Vol.66(2) [June 2019]en_US
dc.subjectResearch Collaborationen_US
dc.subjectBibliometrix R-Packageen_US
dc.subjectCo-authorshipen_US
dc.subjectCo-occurrence analysisen_US
dc.subjectCollaboration Networken_US
dc.subjectIndiaen_US
dc.subjectBangladeshen_US
dc.titleCo-authorship and co-occurrences analysis using Bibliometrix R-package: a case study of India and Bangladeshen_US
dc.typeArticleen_US
Appears in Collections:ALIS Vol.66(2) [June 2019]

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