World's Best Scientists 2026 revealed!
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Computer Science
Iran
2026

D-Index & Metrics

Computer Science

D-Index
53
Citations
10355
World Ranking
4862
National Ranking
1

Research.com Recognitions

  • 2026 - Research.com Computer Science in Iran Leader Award
  • 2025 - Research.com Computer Science in Iran Leader Award
  • 2023 - Research.com Computer Science in Iran Leader Award
  • 2022 - Research.com Computer Science in Iran Leader Award

Overview

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:

  • CFIN: A community-based algorithm for finding influential nodes in complex social networks, 2020, The Journal of Supercomputing
  • A new irregular cellular learning automata-based evolutionary computation for time series link prediction in social networks, 2020, Applied Intelligence
  • Detecting community structure in complex networks using genetic algorithm based on object migrating automata, 2020, Computational Intelligence
  • A new stochastic diffusion model for influence maximization in social networks, 2023, Scientific Reports
  • Chaotic memetic algorithm and its application for detecting community structure in complex networks, 2020, Chaos An Interdisciplinary Journal of Nonlinear Science

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.

Best Publications

  • A Gaussian Firefly Algorithm

    Sh. M. Farahani;A. A. Abshouri;B. Nasiri;M. R. Meybodi

  • A MATHEMATICAL FRAMEWORK FOR CELLULAR LEARNING AUTOMATA

    Hamid Beigy;Mohammad Reza Meybodi

  • Gases Brownian Motion Optimization: an Algorithm for Optimization (GBMO)

    Marjan Abdechiri;Mohammad Reza Meybodi;Helena Bahrami

  • A novel multi-swarm algorithm for optimization in dynamic environments based on particle swarm optimization

    Danial Yazdani;Babak Nasiri;Alireza Sepas-Moghaddam;Mohammad Reza Meybodi

  • Efficient stochastic algorithms for document clustering

    Rana Forsati;Mehrdad Mahdavi;Mehrnoush Shamsfard;Mohammad Reza Meybodi

  • UTILIZING DISTRIBUTED LEARNING AUTOMATA TO SOLVE STOCHASTIC SHORTEST PATH PROBLEMS

    Hamid Beigy;Mohammad Reza Meybodi

  • A note on the learning automata based algorithms for adaptive parameter selection in PSO

    A. B. Hashemi;M. R. Meybodi

  • An intelligent backbone formation algorithm for wireless ad hoc networks based on distributed learning automata

    Javad Akbari Torkestani;Mohammad Reza Meybodi

  • A new hybrid approach for data clustering using firefly algorithm and K-means

    Tahereh Hassanzadeh;Mohammad Reza Meybodi

  • Mobility-based multicast routing algorithm for wireless mobile Ad-hoc networks: A learning automata approach

    Javad Akbari Torkestani;Mohammad Reza Meybodi

  • BNC-PSO

    S. Gheisari;M.R. Meybodi

  • Cellular PSO: A PSO for Dynamic Environments

    Ali B. Hashemi;M. R. Meybodi

  • NEW LEARNING AUTOMATA BASED ALGORITHMS FOR ADAPTATION OF BACKPROPAGATION ALGORITHM PARAMETERS

    Mohammad Reza Meybodi;Hamid Beigy

  • Decreasing Impact of SLA Violations:A Proactive Resource Allocation Approachfor Cloud Computing Environments

    Hossein Morshedlou;Mohammad Reza Meybodi

  • Cellular Learning Automata With Multiple Learning Automata in Each Cell and Its Applications

    H. Beigy;M.R. Meybodi

  • Effective page recommendation algorithms based on distributed learning automata and weighted association rules

    R. Forsati;M. R. Meybodi

  • Maximizing Lifetime of Target Coverage in Wireless Sensor Networks Using Learning Automata

    Habib Mostafaei;Mohammad Reza Meybodi

  • A link stability-based multicast routing protocol for wireless mobile ad hoc networks

    Javad Akbari Torkestani;Mohammad Reza Meybodi

  • Enriched ant colony optimization and its application in feature selection

    Rana Forsati;Alireza Moayedikia;Alireza Moayedikia;Richard Jensen;Mehrnoush Shamsfard

  • Some Hybrid models to Improve Firefly Algorithm Performance

    Sh. M. Farahani;A. A. Abshouri;B. Nasiri;M. R. Meybodi

  • A cellular learning automata-based algorithm for solving the vertex coloring problem

    Javad Akbari Torkestani;Mohammad Reza Meybodi

Frequent Co-Authors

Mehdi Dehghan
Mehdi Dehghan Amirkabir University of Technology
Mohammad Shojafar
Mohammad Shojafar University of Surrey
Amir Masoud Rahmani
Amir Masoud Rahmani National Yunlin University of Science and Technology
Karim Faez
Karim Faez Amirkabir University of Technology
Keivan Navi
Keivan Navi Shahid Beheshti University
Jemal H. Abawajy
Jemal H. Abawajy Deakin University
Richard Jensen
Richard Jensen Aberystwyth University
Mukesh Singhal
Mukesh Singhal University of California, Merced
Adel Nadjaran Toosi
Adel Nadjaran Toosi University of Melbourne

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