Hamid Beigy
Impact in
- Artificial Intelligence top 1%
- Data Stream Mining Techniques
- Topic Modeling
- Anomaly Detection Techniques and Applications
- Machine Learning and Algorithms
- Advanced Clustering Algorithms Research
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- Optimization and Search Problems
- Cooperative Communication and Network Coding
Papers in
-
- Topic Modeling 14
- Data Stream Mining Techniques 14
- Anomaly Detection Techniques and Applications 11
- Evolutionary Algorithms and Applications 9
- Reinforcement Learning in Robotics 9
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- Optimization and Search Problems 23
- Wireless Communication Networks Research 11
- Cooperative Communication and Network Coding 11
- Co-authors
- M. R. Meybodi (15 shared papers)Mahmood Neshati (6 shared papers)Ali Derakhshan (1 shared paper)Mohammad Reza Meybodi (6 shared papers)Mohammad Javad Hosseini (4 shared papers)Mohammad Reza Meybodi (1 shared paper)Parham Moradi (1 shared paper)Ahmad Ali Abin (5 shared papers)
- Journals
- Expert Systems with Applications (7 papers)Pattern Recognition (4 papers)Information Sciences (3 papers)International Journal of Neural Systems (3 papers)Engineering Applications of Artificial Intelligence (2 papers)
- Partner nations
- IranNetherlandsBelgium
In The Last Decade
Hamid Beigy
114 papers receiving 1.8k citations
Peers
Comparison fields: 5 of 107
- Artificial Intelligence 1.0k
- Computer Networks and Communications 690
- Computer Science Applications 110
- Computational Theory and Mathematics 224
- Information Systems 298
Countries citing papers authored by Hamid Beigy
This map shows the geographic impact of Hamid Beigy'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 Hamid Beigy with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Hamid Beigy more than expected).
Fields of papers citing papers by Hamid Beigy
This network shows the impact of papers produced by Hamid Beigy. 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 Hamid Beigy. The network helps show where Hamid Beigy may publish in the future.
Co-authors
The 25 scholars most cited alongside Hamid Beigy, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 122 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2004 | 104 | |
| 2 | 2019 | 97 | |
| 3 | 2020 | 89 | |
| 4 | 2006 | 82 | |
| 5 | 2017 | 75 | |
| 6 | 2009 | 69 | |
| 7 | 2015 | 66 | |
| 8 | 2020 | 48 | |
| 9 | 2002 | 46 | |
| 10 | 2008 | 42 | |
| 11 | 2002 | 41 | |
| 12 | 2008 | 36 | |
| 13 | 2007 | 35 | |
| 14 | 2005 | 32 | |
| 15 | 2013 | 30 | |
| 16 | 2014 | 30 | |
| 17 | 2021 | 29 | |
| 18 | 2014 | 28 | |
| 19 | 2022 | 28 | |
| 20 | 2013 | 25 |
About Hamid Beigy
Hamid Beigy is a scholar working on Artificial Intelligence, Computer Networks and Communications, Computational Theory and Mathematics, Information Systems and Electrical and Electronic Engineering, having authored 122 papers that have together received 1.8k indexed citations. Recurring topics across this work include Optimization and Search Problems (23 papers), Topic Modeling (14 papers), Data Stream Mining Techniques (14 papers), Anomaly Detection Techniques and Applications (11 papers), Wireless Communication Networks Research (11 papers), Cooperative Communication and Network Coding (11 papers), Evolutionary Algorithms and Applications (9 papers) and Reinforcement Learning in Robotics (9 papers). The work is most often cited by research in Artificial Intelligence (1.0k citations), Computer Networks and Communications (690 citations), Computer Science Applications (110 citations), Computational Theory and Mathematics (224 citations) and Information Systems (298 citations). Hamid Beigy has collaborated with scholars based in Iran, Netherlands and Belgium. Frequent co-authors include M. R. Meybodi, Mahmood Neshati, Ali Derakhshan, Mohammad Reza Meybodi, Mohammad Javad Hosseini, Mohammad Reza Meybodi, Parham Moradi, Ahmad Ali Abin, Ali Movaghar and Amir Masoud Rahmani. Their work appears in journals such as Expert Systems with Applications, Pattern Recognition, Information Sciences, International Journal of Neural Systems and Engineering Applications of Artificial Intelligence.
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.