Libraries at University of Nebraska-Lincoln
Date of this Version
2021
Document Type
Article
Abstract
Qualitative analysis of bibliographic datasets becomes advantageous to individuals and institutions since the high weightage of ‘research’ enunciated in assessment ranking or gradation framework. Out of the various existing methods ‘bibliometric methods’ applied in the current study for quantitative examination of research output to measure productivity and performance. A total of 1690 Bibliographic records consulted of Sardar Patel University (SPU) published during the year 2009-2018 retrieved from the Scopus indexing database. To validate the objectives i.e. to determine chronological growth, authorship pattern, core sources for research communication, and influence of productivity by citations received, various indicators, and indices and bibliometric laws i.e. RGR, Dt, CAI, DC, Bradford’s Law of distributions, and more have been applied appropriately. Furthermore, software of ‘MS-Excel’ and ‘bibliometrix’ & ‘biblioshiny’ of R-Package software applied for detailed and accurate analysis. Evaluated data figured out Average yearly contribution 169 research however accounted Mean RGR (P) ‘0.25’; Mean Dt (P) ’3.52 reveals inconsistent growth of research output. Rate of DC ‘0.98’ and the highest ‘51.30%’ productivity for ‘multi authorship’ indicates a higher rate of collaborative research work. Total ‘36 core sources’ identified which are highly relevant to ‘applied / pure science’ discipline. A total of 15153 citations were received for research occurrence in the span with an average of 8.97 ACPP where mean RGR (C) ‘0.19’ and Mean Dt (C) ‘7.06’ of citations should be the matter of anxiety for SPU and individual scholars. SPU has to make more effort to promote research and create quality culture, attention of developing better policies to enhance and enrich the research performance of individuals.