Document Type : Research Paper
Authors
1 Instructor of Computer Engineering, Payame Noor University,Tehran, Iran.
2 Assistant Professor of Knowledge and Information Science, Payame Noor University, Tehran, Iran.
Abstract
Purpose: Conducting a scientometrics study on Iran’s research in Computer Science in an international arena exposes an exact picture of its situation. The purpose of this study is an investigation of Iran’s global situation in Computer Science using scientometric techniques.
Methodology: Bibliometric methodology and social network analysis are used as the research methods. The research population comprises Iran’s 23964 records in the field of Computer Science during 1987-2016، which have been retrieved from Web of Science.
Findings: Results indicated that Iran’s international research on Computer Science recienced 95502 citations, totally, which is 4 times per article. Moreover, “Genetic Algorithm”، “Neural Network”، and “Particle Swarm Optimization” are the most frequent keywords in the Computer Science studies published by Iranian researchers. Use of cluster analysis of both title and abstract terms led to the creation of 7 topical clusters in Iran’s Computer Science studies.
Conclusions: In general, according to the results of this research, it can be claimed that Iran's computer research has grown relatively during this thirty years, showing a share of 0.968 Iran and ranked 24th among all countries of the world. That seems a low rating. Since the realization of goals such as e-government and advancement in other sciences depends to a great extent on the development of computer science, the need for investment and comprehensive planning in this area is increasingly evident.
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