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Research Productivity of the Brain and Language Journal from 1999 -2018: A Scientometric Analysis

Muneer Ahmad, M Sadik Batcha, Younis Rashid Dar

Abstract


Abstract

Scientometric studies are among the most efficient methods for assessing the status of scholarly outcomes. These studies are considered as the most practical methods for evaluating the scientific production of countries, authors and organizations. Using the Web of Science (WoS), the present study aims at mapping the structure of the Brain and Language journal. The journal looks into the intrinsic relationship between language and brain .The study demonstrates and elaborates on the various aspects of the Journal, such as its chronology wise total papers, most productive authors, citations, average citation per paper, institution and country wise distribution of publications for a period of 20 years. The data has been analyzed with the help of Histcite, Bibexcel, and MS Excel Softwares. The results obtained have been tabulated and scientographs have been plotted for the data retrieved from Web of Science database using VOSviewer software.

 

Keywords: Citations, Bibexcel, Most Productive Authors, Histcite, VOSviewer, the Brain and Language Journal, ACPP, Linguistics.

Cite this Article

Muneer Ahmad, M Sadik Batcha, Younis Rashid Dar. Research Productivity of the Brain and Language Journal from 1999 -2018: A Scientometric Analysis. Journal of Advancements in Library Sciences. 2020; 7(1): 91–99p.


Keywords


Citations, Bibexcel, Most Productive Authors, Scientometric Analysis, Histcite, VOSviewer, the Brain and Language Journal, ACPP.

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References


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