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The present study measures the research productivity of library and Information science departments in the Middle East. Data were collected from 16 countries whose LIS departments had at least one article indexed in Clarivate Analytics Web of Science between 2014 and 2018. Journals’ Citation Report was also used to collect further data. In measuring research productivity, the number of departments’ articles indexed in the Web of Science database and the size of each department (number of faculties) is considered as output and input, respectively. Findings indicated that Bar Ilan University had the highest research productivity (3.7), followed by Shiraz University (1.17) and Hacettepe University (1.04). Regarding LIS Department Research productivity, Israel, Turkey, Jordan, Kuwait, and Iran ranked first to fifth. The results of this research can contribute to identifying highly productive and influential departments and lay the groundwork for a well-oriented scientific policy and cooperation. [ABSTRACT FROM AUTHOR]

This article is part of an ongoing research. The research aims to analyze the national scientific production of Information Science, from 2010 to 2020, published in journals indexed in the Web of Science and Scopus databases. In order to achieve the general objective, the following specific objectives were chosen: Analyze the scientific production of teachers\researchers from postgraduate programs in Information Science; Identify the most important themes approached in the scientific production of graduate programs in Brazil; Identify the most productive authors of each postgraduate program; Check collaboration in the area; Survey the titles of the most productive journals in the studied period; Characterize the most productive programs. It is a descriptive research with quantitative and qualitative approaches. The quantitative approach will use bibliometric and scientometric techniques to assist in measuring the researcher's productivity. When the scientific production was surveyed from 2010 to 2020 in the Web of Science and Scopus databases, 3,000 articles and reviews were found. So as to identify the main themes addressed, it was chosen to identify the keywords and the relevance in the studied period. 1,093 authors were found in the Web of Science database and in the Scopus database 6,886 authors who produced 2,206 articles and reviews in the period from 2010 to 2020. When verifying the existing collaboration in the area of Information Science in the period 2010-2020, there is an expressive institutional collaboration in the total academic production. Institutional collaboration corresponds to 34% of academic production. To survey the most productive journals in the period studied, publications in 48 journals were found in both databases. To characterize the most productive programs, the following references were adopted: year of beginning of the programs, number of teachers of the programs, areas of concentration of the programs, the stricto sensu postgraduate modalities of each program, the evaluation by CAPES of the master's and doctorate and the regional location. It was noted that there is a concentration of programs in the Southeast region. [ABSTRACT FROM AUTHOR]

Traditionally, publication citation networks are regarded as acyclic, that is, no loops in the network as an earlier published article cannot cite a later published article. However, due to the accessibility of pre-print versions of articles, there might be some loops in a publication citation network. This article presents a descriptive statistic on loops in publication citation networks of computer science and physics by employing a network-based indicator, namely, strongly connected component (SCC). By employing computer science and physics disciplines publications from the Web of Science database as examples, this article examines the count of loops, how the count changes over time and how the count relates to the published year difference between publications within the loop in the citation network. Some common structural patterns are also extracted and analysed; we observe that the two disciplines share the most frequent patterns though there exist some minor differences. Moreover, we find that self-citations in terms of authors, authors' institutions and journals contribute to the formation of loops in publication citation networks. [ABSTRACT FROM AUTHOR]