Research Productivity in Emerging Economies: Empirical Evidence from Kazakhstan

The growth of the Higher Education and Science (HES) sector is positively associated with its research productivity and has a high potential in emerging countries. To explore such research productivity, this study offers a comprehensive analysis of the scientific literature from Kazakhstan. Our methods included descriptive analysis, network analysis, and author-based productivity analysis (by Lotka’s law) of 23,371 articles from Scopus, published during 1991–2020, and across 25 subject areas. The results of the descriptive analysis showed a substantial increase in the number of and citations to the literature since 2011 in almost all subject areas. However, the network analysis found that research in natural sciences was more developed in topical relationships and international collaborations than research in arts and humanities, social, and medical sciences. The Lotka’s law application revealed that the overall scientific literature in Kazakhstan did not reach its necessary stage of maturity. Additionally, some subject areas demonstrated greater contribution to the overall knowledge base, while others were less productive or lagging in their development. Our findings, useful for researchers and policymakers in emerging countries, can be exemplary in understanding the results of policy reforms aimed to improve the HES sector in emerging countries.

Lotka’s law and author productivity pattern of research in law discipline

Purpose This study aims to analyze the productivity patterns of authors using law literature indexed in Directory of Open Access Journals (DOAJ) from 2016 to 2020 based on Lotka’s law. Lotka’s law of scientific productivity provides a platform for studying the variation between the actual and expected authors’ productivity patterns in a subject area over a specified period. Design/methodology/approach This study covers 3,334 open access journal articles in law subject. The law journals are subdivided into two basic divisions, namely, public law and private law. This paper focuses on the journal-wise distribution of publications, subject-wise distribution of publications, annual growth rate (AGR) as well as compound AGR and applicability of Lotka’s law in both public and private law by applying the least square method followed by Pao and doing the K-S goodness-of-fit test. Student’s t-test and chi-square test have been applied to verify the significant difference between the public law and the private law literature. Findings There is no significant difference between the public law and private law publications on their publications per issue. The chi-square test showed that there is no significant difference between the year-wise publications in public law and private law. The authorship productivity in public law differs from the distribution of Lotka’s inverse square law, whereas it follows Lotka’s law in the case of private law. Research limitations/implications This study is based on the articles published in open access English language journals which are indexed in the DOAJ. Originality/value This study will be useful to know the authorship productivity pattern of law literature for both public and private law individually.

International Scientific Research on Venture Capital: a Bibliometric and Mapping Analysis from the Period 1978–2020

The aim of this study is to explore the relevance of scientific production on venture capital using bibliometric and mapping tools.We performed a search in Scopus, involving any document published between 1978 and 2020. We used bibliometric indicators to explore documents production, dispersion, distribution, time of duplication, and annual growth, as Price’s law of scientific literature growth, Lotka’s law, the transient index, and the Bradford model. We also calculated the participation index of the different countries and institutions. Finally, we explored the co-occurrence and thematic networks for the most frequently used terms in venture capital research through bibliometric mapping.A total of 1,230 original articles were collected from the timeframe 1978–2020. The model confirms that Price’s law is not fulfilled. Scientific production was better adjusted to linear growth (r = 0.9290) than exponential (r = 0.9161). Literature on venture capital research has increased its growth in the last 43 years at a rate of 7.9% per year, with a production that doubles its size every 9.1 years. The transience index was 79.91%, which indicates that most of the scientific production is due to a lot of authors with a small number of publications on the research topic. Bradford´s law shows that the scientific production in this area is widely distributed in multiple journals, and Lotka’s law indicates that the author’s distribution is heavily concentrated on small producers. The United States of America (USA) and the University of Pennsylvania present the highest production, contributing 31.22% and 1.63% of the total production of research on venture capital.The venture capital task has undergone a linear growth, with a very high rate of transience, which indicates the presence of numerous authors who sporadically publish on this topic. No evidence of a saturation point was observed in the scientific production analyzed, which makes it possible to conclude that the research in venture capital will continue to be in demand by the scientific community.

Bibliometric Analysis of Pfizer-BioNTech (BNT162B2): A COVID-19 Vaccine

The objective of the study was to perform a bibliometric analysis of the Pfizer-BioNTech vaccine. For this purpose Scopus database was used. As of 13th May 2021, one hundred and seventy-three (n=173) research documents are published about it. We used Vosviewer and Biblioshiny (Bibliometrix) in the present report. In all publications, 1160 authors have significantly contributed. The documents per author was 0.119, while authors per document was 8.41. Collaborative Index (CI) was found to be 9.47. By biblioshiny we also applied Lotka’s law to depict the author's frequency. 1097 authors were involved in only one (n=1) publication. Based on the Scopus record, the highest documents are published by Dormitzer, P.R. (n=6). In universities and countries categories, Tel Aviv University (n=7) and USA (48) are the most productive. By Vosviewer the collaboration pattern among authors, institutes, and countries is graphically presented. For example, 28 authors, 17 departments and 7 countries directly contributed to one publication. The research documents (133) are published in 102 sources or journals. The highest documents are published in Vaccines (n=8), while the highest citations were recorded for the New England Journal of Medicine (n=838). We also applied co-words analysis to understand the main focus of these publications.

Study of Lotka’s Law and Authorship Pattern in the Conference Proceedings of COLLNET: an International Conference Covering Exclusively Bibliometric Study

This paper examines the authorship pattern of 419 papers contributed to COLLNET Conference proceedings during the period 2011-2015. The ranked authors list is prepared to identify the most prolific authors who contribute significantly to the areas of bibliometric study. Authorship Pattern is studied to understand collaboration behavior and it is found that maximum papers are written by multiple authors. The degree of collaboration is significantly high, which is 0.7852. Lotka’s law was tested using Kolmogorov-Smirnov goodness of fit test and it is found that Lotka’s law is not found fit in the observed distribution of COLLNET Conference Proceedings.

Produktivitas Pengarang Menggunakan Hukum Lotka Dengan Teknik Complete Count Pada Jurnal Kedokteran YARSI Tahun 2009-2018

Researchers research to develop science. Research results are published as a form of scientific communication. One type of scientific publication is a journal article. YARSI Medical Journal is a peer-reviewed journal in the field of medicine and health that is open to the public owned by YARSI University. The author's productivity patterns in the YARSI Medical Journal so far are unknown. Author productivity is the number of papers produced by the author on a particular subject and published in scientific journals in a certain period. This study aims to (1) Determine the author's productivity patterns using Lotka's Law with complete count techniques in YARSI Medical Journal 2009-2018; (2) Testing the suitability of the frequency of Lotka's Law with the author's frequency distribution using the complete count technique in YARSI Medical Journal 2009-2018. The research method used in this study is a quantitative method with bibliometric analysis. Data collection uses documentation method. The results of this study include (1) the pattern of author productivity with an exponent value (n) 2.874110535 and the constant (C) 0.820080499 meaning that the author contributing to one article is 82.00% of the total number of authors, it can be said that the YARSI Medical Journal Author Productivity Pattern 2009- 2018 is low or less productive. (2) Based on the K-S test the maximum deviation is 0 and the critical value is 0.0829206. Dmax is smaller than the critical value, so H0 is accepted. That is, the Author Productivity Pattern uses the Complete Count Technique in YARSI Medical Journal 2009-2018 following Lotka's Law.