Shahrokh Heidari
- Artificial Intelligence top 5%
- Computational Theory and Mathematics top 5%
- Computer Vision and Pattern Recognition top 5%
- Atomic and Molecular Physics, and Optics
- Information Systems
- Co-authors
- Mosayeb NaseriAhmed FaroukMonireh HoushmandKoji NagataJosep Amengual i BatleLi-Hua GongM.M. AbutalibMajid Alkhambashi
- Topics
- Quantum Computing Algorithms and Architecture (13 papers)Quantum Information and Cryptography (6 papers)Quantum Mechanics and Applications (4 papers)
- Cited by
- Artificial IntelligenceComputational Theory and MathematicsComputer Vision and Pattern Recognition
- Journals
- Information SciencesInternational Journal of Computer VisionFuture Generation Computer Systems
- Partner nations
- IranNew ZealandEgypt
In The Last Decade
Shahrokh Heidari
17 papers receiving 410 citations
Peers
Comparison fields: 5 of 50
- Artificial Intelligence 331
- Computational Theory and Mathematics 164
- Computer Vision and Pattern Recognition 162
- Atomic and Molecular Physics, and Optics 48
- Information Systems 22
Countries citing papers authored by Shahrokh Heidari
This map shows the geographic impact of Shahrokh Heidari'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 Shahrokh Heidari with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Shahrokh Heidari more than expected).
Fields of papers citing papers by Shahrokh Heidari
This network shows the impact of papers produced by Shahrokh Heidari. 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 Shahrokh Heidari. The network helps show where Shahrokh Heidari may publish in the future.
Co-authorship network of co-authors of Shahrokh Heidari
This figure shows the co-authorship network connecting the top 25 collaborators of Shahrokh Heidari. A scholar is included among the top collaborators of Shahrokh Heidari 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 Shahrokh Heidari. Shahrokh Heidari 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 | 2 | |
| 4 | 1 | |
| 5 | 1 | |
| 6 | 1 | |
| 7 | 2 | |
| 8 | 0 | |
| 9 | 14 | |
| 10 | 7 | |
| 11 | 1 | |
| 12 | 23 | |
| 13 | 27 | |
| 14 | 65 | |
| 15 | 74 | |
| 16 | 49 | |
| 17 | 15 | |
| 18 | 41 | |
| 19 | 77 | |
| 20 | 28 |
About Shahrokh Heidari
Shahrokh Heidari is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Computational Theory and Mathematics, having authored 20 papers that have together received 428 indexed citations. Recurring topics across this work include Quantum Computing Algorithms and Architecture (13 papers), Quantum Information and Cryptography (6 papers) and Quantum Mechanics and Applications (4 papers). The work is most often cited by research in Artificial Intelligence (331 citations), Computational Theory and Mathematics (164 citations) and Computer Vision and Pattern Recognition (162 citations). Shahrokh Heidari has collaborated with scholars based in Iran, New Zealand and Egypt. Frequent co-authors include Mosayeb Naseri, Ahmed Farouk, Monireh Houshmand, Koji Nagata, Josep Amengual i Batle, Li-Hua Gong, M.M. Abutalib, Majid Alkhambashi, Patrice Delmas and Tadao Nakamura. Their work appears in journals such as Information Sciences, International Journal of Computer Vision and Future Generation Computer Systems.
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.