Computer science in Eastern Europe 1989-2014: a bibliometric study

Fiala, Dalibor; Willett, Peter

doi:10.1108/ajim-02-2015-0027

Cited by 18 publications

(16 citation statements)

References 24 publications

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“…Several bibliometric studies investigated the development of science in the former Soviet countries (Allik 2003(Allik , 2008(Allik , 2015Fiala and Willett 2015;Gzoyan et al 2015;Kozak et al 2015;Zavadskas et al 2011). However, these studies usually consider only selected countries and analyze publications from all fields as a whole output or focus on natural/computer sciences, while social and behavioral sciences were given little attention.…”

Section: Introductionmentioning

confidence: 99%

Bibliometric analysis of publications from post-Soviet countries in psychological journals in 1992–2017

Lovakov

Agadullina

2019

Scientometrics

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For several decades the Soviet academic psychology community was isolated from the West, yet after the collapse of the Soviet Union each of the 15 countries went their own way in economic, social, and scientific development. The paper analyses publications from post-Soviet countries in psychological journals in 1992-2017, i.e. 26 years after the collapse of the Soviet Union. Over the period in question, 15 post-Soviet countries had published 4,986 papers in psychology, accounting for less than one percent of the world output in psychological journals. However, the growth of post-Soviet countries' output in psychological journals, especially that of Russia and Estonia, is observed during this period. Over time, post-Soviet authors began to write more papers in international teams, constantly increasing the proportion of papers in which they are leaders and main contributors. Their papers are still underrepresented in the best journals as well as among the most cited papers in the field and are also cited lower than the world average. However, the impact of psychological papers from post-Soviet countries increases with time. There is a huge diversity between 15 post-Soviet countries in terms of contribution, autonomy, and impact. Regarding the number of papers in psychological journals, the leading nations are Russia, Estonia, Lithuania, Ukraine, and Georgia. Estonia is the leader in autonomy in publishing papers in psychological journals among post-Soviet countries. Papers from Estonia and Georgia are cited higher than the world average, whereas papers from Russia and Ukraine are cited below the world average. Estonia and Georgia also boast a high number of Highly cited papers.

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Section: Introductionmentioning

confidence: 99%

Bibliometric analysis of publications from post-Soviet countries in psychological journals in 1992–2017

Lovakov

Agadullina

2019

Scientometrics

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“…Surprisingly, there have not been a large number of bibliometric studies measuring the published research outputs of computer science. Some of them have focused on individual countries or groups of countries: China [1], Malaysia [2], India [3], Brazil [4], India and China [5], Eastern Europe [6], BRIC and a few other countries [7], or China, India, Japan, and three major Western nations [8]. The research performance of global universities in computer science has been explored too [9].…”

Section: Introductionmentioning

confidence: 99%

Computer Science Papers in Web of Science: A Bibliometric Analysis

Fiala

Tutoky

2017

Publications

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Abstract:In this article we present a bibliometric study of 1.9 million computer science papers published from 1945 to 2014 and indexed in Web of Science. We analyze both the quantity and the impact of these publications according to document types, languages, disciplines, countries, institutions, and publication sources. The most frequent author keywords, cited references, and cited papers as well as the distribution of the number of references and citations per paper and of the age of cited references are also explored. Since conference proceedings play a tremendous role in this scientific field, we investigate the time and place of computer science conferences in terms of the most prolific months and locations. And, last but not least, the production of journal articles and conference papers over the whole time period and the level of collaboration in different computer science disciplines are inspected. One of the main results is the finding that "Artificial Intelligence" is the most productive subfield of computer science, but "Interdisciplinary Applications" has the highest relative impact.

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“…A similar analysis of different major aggregated fields was published by Radosevic and York [36], using the Thomson Reuters (now Clarivate Analytics) database and indicator, with different goals: to individualize the dynamic of specializations belonging to all scientific areas of some large regions of the world (including Central and Eastern Europe). Another important study pertaining to this issue was authored by Fiala and Willett [37], focusing on the former communist bloc countries, and using two main indicators: the number of publications and citations in computer science; the results showed a similar structure and dynamics of sub-fields, although with important differences. In our study, in order to facilitate the comparisons, country ranks were computed for each index.…”

Section: Methodsmentioning

confidence: 99%

An Overview of the Dynamics of Relative Research Performance in Central-Eastern Europe Using a Ranking-Based Analysis Derived from SCImago Data

Ianoş

Petrişor

2020

Publications

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In recent times, rankings seem to play an increasingly important role, influencing the lives of individual researchers or academics and their institutions. Individual and institutional rankings used for promotion and research or academic funding seem to illustrate more and more the “publish or perish” mantra, relying sometimes almost exclusively on publications and their citations. Eastern Europe found itself part of this new world after a period of isolation, uneven for the countries within the area. The present study uses SCImago data to perform a regional analysis of individual and aggregated domains, for individual countries and the entire region, based on a novel “adjusted citation index”, in order to measure the performance and identify, using correlations with additional data and information, the mechanisms that can increase the research performance of a country. In a nutshell, the results indicate that the national research policies are responsible for performance. Adaptive research policies simulate a real performance, in comparison with more restrictive ones, which are more likely to stimulate unethical behaviors such as self-citations or citation stacking, especially when used for the assessment of researchers. The importance of the findings lies in the possibility of replicating the methodology, adapting it to different spatial scales.

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Computer science in Eastern Europe 1989-2014: a bibliometric study

Cited by 18 publications

References 24 publications

Bibliometric analysis of publications from post-Soviet countries in psychological journals in 1992–2017

Bibliometric analysis of publications from post-Soviet countries in psychological journals in 1992–2017

Computer Science Papers in Web of Science: A Bibliometric Analysis

An Overview of the Dynamics of Relative Research Performance in Central-Eastern Europe Using a Ranking-Based Analysis Derived from SCImago Data

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