The chart shows the distribution of publications by all Research.com ranked scientists in the field of Computer Science in 2026. The highlighted bar marks where Mohammad Reza Meybodi sits on this spectrum.
This scientist: 548 publications — 95th percentile
95% of scientists in this discipline score the same or lower.
The last bar groups every scientist with 991 publications or more.
The chart shows the D-index (discipline H-index) distribution of Computer Science scientists ranked by Research.com in 2026. The highlighted bar marks where Mohammad Reza Meybodi sits on this spectrum.
This scientist: 53 D-Index — 67th percentile
67% of scientists in this discipline score the same or lower.
The last bar groups every scientist with 131 D-Index or more.
Mohammad Reza Meybodi is affiliated with Amirkabir University of Technology in Iran. Their research primarily spans the fields of Computer Science and Physics and Astronomy, with a significant focus on Computer Networks and Communications, Artificial Intelligence, and Statistical and Nonlinear Physics. Additional research interests include Computational Theory and Mathematics as well as Information Systems.
The scientist's work centers on several main topics including Optimization and Search Problems, Complex Network Analysis Techniques, Cooperative Communication and Network Coding, Opinion Dynamics and Social Influence, Cellular Automata and Applications, Metaheuristic Optimization Algorithms Research, and Blockchain Technology Applications and Security.
Frequent publication venues for Meybodi include The Journal of Supercomputing, where they have published six papers, followed by arXiv (Cornell University) with five publications. Other notable venues include the Journal of Experimental & Theoretical Artificial Intelligence, Scientific Reports, and Chaos An Interdisciplinary Journal of Nonlinear Science.
They have collaborated recurrently with several coauthors, among whom Alireza Rezvanian has the highest number of joint publications (24), followed by Reza Vafashoar, Hossein Morshedlou, Javidan Kazemi Kordestani, and Mehdi Razapoor Mirsaleh, each contributing to a close research partnership.
The recent papers authored or coauthored by Mohammad Reza Meybodi highlight various aspects of social network analysis, complex systems, and computational intelligence. These include:
Meybodi has also contributed to scholarly literature through book publication. One such work is Cellular Learning Automata: Theory and Applications, published in 2020 by Springer International Publishing.
Sh. M. Farahani;A. A. Abshouri;B. Nasiri;M. R. Meybodi
Hamid Beigy;Mohammad Reza Meybodi
Marjan Abdechiri;Mohammad Reza Meybodi;Helena Bahrami
Danial Yazdani;Babak Nasiri;Alireza Sepas-Moghaddam;Mohammad Reza Meybodi
Rana Forsati;Mehrdad Mahdavi;Mehrnoush Shamsfard;Mohammad Reza Meybodi
Hamid Beigy;Mohammad Reza Meybodi
A. B. Hashemi;M. R. Meybodi
Javad Akbari Torkestani;Mohammad Reza Meybodi
Tahereh Hassanzadeh;Mohammad Reza Meybodi
Javad Akbari Torkestani;Mohammad Reza Meybodi
S. Gheisari;M.R. Meybodi
Ali B. Hashemi;M. R. Meybodi
Mohammad Reza Meybodi;Hamid Beigy
Hossein Morshedlou;Mohammad Reza Meybodi
H. Beigy;M.R. Meybodi
R. Forsati;M. R. Meybodi
Habib Mostafaei;Mohammad Reza Meybodi
Javad Akbari Torkestani;Mohammad Reza Meybodi
Rana Forsati;Alireza Moayedikia;Alireza Moayedikia;Richard Jensen;Mehrnoush Shamsfard
Sh. M. Farahani;A. A. Abshouri;B. Nasiri;M. R. Meybodi
Javad Akbari Torkestani;Mohammad Reza Meybodi
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