Research in ProgressJournal of Scientometric ResearchVol. 7 | Issue 1 | 2018 | pp. 54–62Open access
Bibliometric Analysis of IP&M Journal (1980–2015)
- 1,
- 2,
- 3,
- 3*
- 1 UTM Big Data Centre, Universiti Teknologi Malaysia, Skudai 81310 Johor, MALAYSIA.
- 2 Department of Artificial Intelligence, Faculty of Computer Science and Information Technology, University of Malaya, 50603, Kuala Lumpur, MALAYSIA.
- 3 Institute of Information Technology, Azerbaijan National Academy of Sciences. 9A, B. Vahabzade Street. AZ1141 Baku, AZERBAIJAN.
Published in Journal of Scientometric Research
Correspondence: Ramiz M Aliguliyev
Institute of Information Technology, Azerbaijan National Academy of Sciences. 9A, B. Vahabzade Street. AZ1141 Baku, AZERBAIJAN.
Email: r.aliguliyev@gmail.com
Copyright: © 2018 Manuscript Technomedia. This is an open access article.
- Published:
- May 1, 2018
- Received:
- Nov 10, 2017
- Accepted:
- Apr 30, 2018
How to cite
Abdi, A., Idris, N., Alguliyev, R. M., & Aliguliyev, R. M. (2018). Bibliometric Analysis of IP&M Journal (1980–2015). Journal of Scientometric Research, 7(1), 54–62. https://doi.org/10.5530/jscires.7.1.8
Abstract
This study aims to present a bibliometric analysis of the journal titled “Information Processing & Management (IP & M)” for the period from 1980 to 2015. The present study was conducted with an aim to provide a summary of research activity in current journal and characterize its most important aspects. The analysis covers mainly the year-wise distribution of articles, category-wise classification of papers, authorship patterns of papers, degree of collaboration, most prolific contributions of papers, institutions- wise distribution of contributions, geographical distribution of papers, and citation analysis of the IP&M journal. The analysis showed that 2,913 papers were published in journal of IP&M from 1980 to 2015. The highest percentage was articles (67.15%) among the published document types. In this study, we have identified top 10 prolific authors, top 10 institutions and top 24 prolific countries with number of papers. Researchers from USA have been made the most percentage of contributions (50.88%). We have also identified that from the period 1980-1985 to the period 2010-2015 degree of collaboration has been increased in 3 times. All the studies demonstrate the merits and weakness of the journal which will be helpful for its further development.
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Article metadata
| Title | Bibliometric Analysis of IP&M Journal (1980–2015) |
|---|---|
| Authors | Asad Abdi; Norisma Idris; Rasim M Alguliyev; Ramiz M Aliguliyev |
| Affiliations | UTM Big Data Centre, Universiti Teknologi Malaysia, Skudai 81310 Johor, MALAYSIA.; Department of Artificial Intelligence, Faculty of Computer Science and Information Technology, University of Malaya, 50603, Kuala Lumpur, MALAYSIA.; Institute of Information Technology, Azerbaijan National Academy of Sciences. 9A, B. Vahabzade Street. AZ1141 Baku, AZERBAIJAN. |
| Corresponding author | r.aliguliyev@gmail.com |
| Journal | Journal of Scientometric Research |
| Volume / Issue | Vol. 7, Issue 1 (2018) |
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