A Bibliometric Analysis and Visualization of the Scientific Publications of Universities: A Study of Hamadan University of Medical Sciences during 1992-2018

The evaluation of universities from different perspectives is important for their scientific development. Analyzing the scientific papers of a university under the bibliometric approach is one main evaluative approach. The aim of this study was to conduct a bibliometric analysis and visualization of papers published by Hamadan University of Medical Science (HUMS), Iran, during 1992-2018. This study used bibliometric and visualization techniques. Scopus database was used for data collection. 3753 papers were retrieved by applying Affiliation Search in Scopus advanced search section. Excel and VOSviewer software packages were used for data analysis and bibliometric indicator extraction. An increasing trend was seen in the numbers of HUMS's published papers and received citations. The highest rate of collaboration in national level was with Tehran University of Medical Sciences. Internationally, HUMS's researchers had the highest collaboration with the authors from the United States, the United Kingdom and Switzerland, respectively. All highly-cited papers were published in high level Q1 journals. Term clustering demonstrated four main clusters: epidemiological studies, laboratory studies, pharmacological studies, and microbiological studies. The results of this study can be beneficial to the policy-makers of this university. In addition, researchers and bibliometricians can use this study as a pattern for studying and visualizing the bibliometric indicators of other universities and research institutions

Highly Cited Papers in Library and Information Science Field in the Web of Science from 1983 to 2018: A Bibliometric Study

Abstract This bibliometric study set out to evaluate and analyze highly cited papers in Library and Information Science field (LIS) in the Web of Science database from 1983 to 2018. In this bibliometric study, the required data were extracted from the Web of Science database. First, all documents under the rubric of LIS subject area, including 366,756 documents, were retrieved. The search was then limited to the highly cited papers. Of these papers, 433 ones were in the top-1% percentile rank. Finally, after the bibliometric data of the highly cited papers were extracted in plain text format, Excel and VOSviewer software were run to analyze the obtained data. The results showed that the Highly cited papers in LIS (433 ones) were published in the period 2009 to 2018. The highest number of highly cited papers belonged to 2014 (57 articles) and the subject area was Computer Science Information Systems (239 papers). Moreover, Thelwall, the University of Maryland, the United States, and Journal of the American Medical Informatics Association were the top authors, universities, countries, and journals for publishing LIS highly cited articles, respectively. The co-authorship map revealed that Thelwall, M, ranked first with eight co-authorships. In addition, Haustein, S with 6 co-authorships and Lariviere, V with 5 co-authorships were in second and third places, respectively. In addition, the co-authorship map of the countries publishing the Highly cited papers in LIS showed that the most papers were co-authored by the United States and China (link strength = 24). The results of most frequent keyword visualization indicated that in the last five years, concepts such as bibliometrics, altmetrics, social media, information systems, meta-analysis, electronic health record, social networking sites, and big data have been the most important keywords in Highly cited papers in LIS