Hamid Beigy
- Artificial Intelligence top 1%
- Computer Networks and Communications top 2%
- Information Systems top 2%
- Electrical and Electronic Engineering
- Computational Theory and Mathematics top 2%
- Co-authors
- M. R. MeybodiMahmood NeshatiAli DerakhshanMohammad Reza MeybodiMohammad Javad HosseiniParham MoradiAhmad Ali AbinAli Movaghar
- Topics
- Optimization and Search Problems (23 papers)Topic Modeling (14 papers)Data Stream Mining Techniques (14 papers)
- Journals
- SHILAP Revista de lepidopterologíaPLoS ONEIEEE Transactions on Pattern Analysis and Machine Intelligence
- Partner nations
- IranNetherlandsAustralia
In The Last Decade
Hamid Beigy
111 papers receiving 1.7k citations
Peers
Comparison fields: 5 of 111
- Artificial Intelligence 1.0k
- Computer Networks and Communications 693
- Information Systems 297
- Electrical and Electronic Engineering 267
- Computational Theory and Mathematics 226
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-authorship network of co-authors of Hamid Beigy
This figure shows the co-authorship network connecting the top 25 collaborators of Hamid Beigy. A scholar is included among the top collaborators of Hamid Beigy based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Hamid Beigy. Hamid Beigy is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 0 | |
| 3 | 0 | |
| 4 | 0 | |
| 5 | 1 | |
| 6 | 1 | |
| 7 | 18 | |
| 8 | 11 | |
| 9 | 1 | |
| 10 | 88 | |
| 11 | 15 | |
| 12 | 1 | |
| 13 | An Order-based Algorithm for Learning Structure of Bayesian Networks | 7 |
| 14 | 0 | |
| 15 | 9 | |
| 16 | Automatic Abstraction in Reinforcement Learning Using Ant System Algorithm | 6 |
| 17 | A new method for discovering subgoals and constructing options in reinforcement learning. | 7 |
| 18 | 5 | |
| 19 | A Learning Automata Based Graph Isomorphism Algorithm. | 1 |
| 20 | A New Distributed Learning Automata Based Algorithm For Solving Stochastic Shortest Path Problem. | 12 |
About Hamid Beigy
Hamid Beigy is a scholar working on Artificial Intelligence, Computer Networks and Communications and Computational Theory and Mathematics, having authored 121 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) and Data Stream Mining Techniques (14 papers). The work is most often cited by research in Artificial Intelligence (1.0k citations), Computer Networks and Communications (693 citations) and Computer Science Applications (110 citations). Hamid Beigy has collaborated with scholars based in Iran, Netherlands and Australia. 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 SHILAP Revista de lepidopterología, PLoS ONE and IEEE Transactions on Pattern Analysis and Machine 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.