جستجوی مقالات مرتبط با کلیدواژه « همکاری بین المللی » در نشریات گروه « کتابداری و مدیریت اطلاعات »

The purpose of this study is to investigate the knowledge structure in Entrepreneurship research using co-word analysis, to identify top authors in the field by number of articles, number of citations, and h-index, and to visualize the international collaboration network in it. Social network analysis, citation analysis, and co-occurrence analysis are used in conducting this research. The research population consists of articles published in the field of entrepreneurship that have been indexed in Web of Science in the last 20 years (1997-2016) Results indicated that Iran’s international research on entrepreneurship has grown steadily during the last decades. Co-word analysis showed that “Entrepreneurship”, “SMEs”, and “Innovation” are the most frequent keywords in this research area. Moreover, “Entrepreneurship-Innovation”, “Entrepreneurship-self employment”, and “Entrepreneurship-economic development” are top co-words in this field. Results of cluster analysis led to the creation of 7 topical clusters in entrepreneurship research. Furthermore, data analysis uncovered that “Wright M” is the most prolific, “Shane S” is the most cited, and again “Wright M” has the highest h-index among all entrepreneurship researchers. Also, based on co-authorship indicators, “Wright M” owns the best position in the network. According to the results of this research, it seems that since 1990s, the emergence and development of World Wide Web has had a positive impact of the growth of research in entrepreneurship. On the other hand, thematic clusters can give a macro view of topics in entrepreneurship. Finally, based on integrative indicators, it can be stated that “Wright M” is the most influential researcher in entrepreneurship during past 20 years.

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.
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.
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.