Authorship trend and content analysis A case study on highly cited articles in library and information science journals

Purpose The purpose of this paper is to examine the classic characteristics of highly cited articles (HCAs) of top-ranked library and information science (LIS) journals and get acquainted with the high-quality works in specific areas of LIS for distinguishing what gets cited and who the prolific authors are. Design/methodology/approach The HCAs published across the top four LIS journals were downloaded, coded and a database was developed with basic metadata elements for analysis using bibliometric indicators. Lotka's Inverse Square Law of Scientific Productivity was applied to assess the author's productivity of HCA. The content analysis method was also used to find out the emerging areas of research that have sought high citations. Findings Inferences were drawn for the proposed five number of research questions pertaining to individual productivity, collaboration patterns country and institutional productivity, impactful areas of research. The Netherland found to be the potential player among all the affiliating countries of authors and Loet Leydesdorff tops the list among the prolific authors. It is observed that Lotka's Classical Law also fits the HCA data set in LIS. "Research impact measurement and research collaboration," "Social networking" and "Research metrics and citation-based studies" are found to be the emerging areas of LIS research. Originality/value This study is important from the perspective of the growing research field of the LIS discipline to identify the papers that have influenced others papers as per citation count, spot the active and more impactful topics in LIS research.