M. R. Meybodi
-
- Optimization and Search Problems 27
- Cooperative Communication and Network Coding 13
- Energy Efficient Wireless Sensor Networks 13
- Wireless Communication Networks Research 7
- Mobile Ad Hoc Networks 6
-
- Cellular Automata and Applications 8
- Artificial Intelligence top 2%
- Metaheuristic Optimization Algorithms Research 10
-
- Energy Harvesting in Wireless Networks 5
- Co-authors
- Hamid BeigyAli HashemiBabak NasiriMehdi EsnaashariRana ForsatiM. DehghanMohsen JahanshahiJavad Akbari Torkestani
- Cited by
- Computer Networks and CommunicationsComputational Theory and MathematicsArtificial Intelligence
In The Last Decade
M. R. Meybodi
75 papers receiving 1.4k citations
Peers
Comparison fields: 5 of 90
- Computer Networks and Communications 821
- Computational Theory and Mathematics 356
- Artificial Intelligence 629
- Industrial and Manufacturing Engineering 61
- Management Science and Operations Research 72
Countries citing papers authored by M. R. Meybodi
This map shows the geographic impact of M. R. Meybodi's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by M. R. Meybodi with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites M. R. Meybodi more than expected).
Fields of papers citing papers by M. R. Meybodi
This network shows the impact of papers produced by M. R. Meybodi. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by M. R. Meybodi. The network helps show where M. R. Meybodi may publish in the future.
Co-authorship network
The 25 scholars most cited alongside M. R. Meybodi, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2017 | 11 | |
| 2 | 2012 | 7 | |
| 3 | 2012 | 1 | |
| 4 | 2011 | 18 | |
| 5 | FUZZY ADAPTIVE PBIL BASED SENSOR PLACEMENT IN WSN | 2011 | 3 |
| 6 | 2010 | 36 | |
| 7 | 2010 | 49 | |
| 8 | A MODEL BASED ON ENTROPY AND LEARNING AUTOMATA FOR SOLVING STOCHASTIC GAMES | 2010 | 1 |
| 9 | RULE SCHEDULING IN ACTIVE DATABASE USING LEARNING AUTOMATA | 2009 | 2 |
| 10 | 2009 | 32 | |
| 11 | 2009 | 12 | |
| 12 | 2006 | 82 | |
| 13 | STOCHASTIC OPTIMIZATION USING CONTINUOUS ACTION-SET LEARNING AUTOMATA | 2005 | 3 |
| 14 | 2005 | 15 | |
| 15 | 2005 | 5 | |
| 16 | ADAPTIVE UNIFORM FRACTIONAL CHANNEL ALGORITHMS | 2004 | 12 |
| 17 | 2004 | 25 | |
| 18 | 2004 | 19 | |
| 19 | 2002 | 41 | |
| 20 | ADAPTATION MOMENTUM FACTOR AND STEEPNESS PARAMETER IN BACK PROPAGATION ALGORITHM USING FIXE STRUCTURE LEARNING AUTOMATA | 2001 | 2 |
About M. R. Meybodi
M. R. Meybodi is a scholar working on Computer Networks and Communications, Computational Theory and Mathematics and Artificial Intelligence, having authored 77 papers that have together received 1.5k indexed citations. Recurring topics across this work include Optimization and Search Problems (27 papers), Cooperative Communication and Network Coding (13 papers), Energy Efficient Wireless Sensor Networks (13 papers), Metaheuristic Optimization Algorithms Research (10 papers), Cellular Automata and Applications (8 papers), Wireless Communication Networks Research (7 papers), Mobile Ad Hoc Networks (6 papers) and Energy Harvesting in Wireless Networks (5 papers). The work is most often cited by research in Computer Networks and Communications (821 citations), Computational Theory and Mathematics (356 citations) and Artificial Intelligence (629 citations). M. R. Meybodi has collaborated with scholars based in Iran, Canada and India. Frequent co-authors include Hamid Beigy, Ali Hashemi, Babak Nasiri, Mehdi Esnaashari, Rana Forsati, M. Dehghan, Mohsen Jahanshahi, Javad Akbari Torkestani, Reza Rastegar and Mohammad Mehdi Homayounpour. Their work appears in journals such as Automatica, Expert Systems with Applications and Information Sciences.
Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.