Amin Beheshti
- Artificial Intelligence top 1%
- Information Systems top 1%
- Computer Networks and Communications top 2%
- Computer Vision and Pattern Recognition top 5%
- Electrical and Electronic Engineering
- Co-authors
- Boualem BenatallahReza NouriNour MoustafaHamid Reza Motahari‐NezhadAsim Dilawar BakhshiHasnat KhurshidJaved AshrafHamid Alinejad‐Rokny
- Topics
- Advanced Graph Neural Networks (15 papers)Data Quality and Management (12 papers)Anomaly Detection Techniques and Applications (11 papers)
- Journals
- SHILAP Revista de lepidopterologíaScientific ReportsInternational Journal of Molecular Sciences
- Partner nations
- AustraliaChinaUnited States
In The Last Decade
Amin Beheshti
117 papers receiving 1.9k citations
Peers
Comparison fields: 5 of 143
- Artificial Intelligence 879
- Information Systems 460
- Computer Networks and Communications 450
- Computer Vision and Pattern Recognition 255
- Electrical and Electronic Engineering 163
Countries citing papers authored by Amin Beheshti
This map shows the geographic impact of Amin Beheshti'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 Amin Beheshti with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Amin Beheshti more than expected).
Fields of papers citing papers by Amin Beheshti
This network shows the impact of papers produced by Amin Beheshti. 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 Amin Beheshti. The network helps show where Amin Beheshti may publish in the future.
Co-authorship network of co-authors of Amin Beheshti
This figure shows the co-authorship network connecting the top 25 collaborators of Amin Beheshti. A scholar is included among the top collaborators of Amin Beheshti 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 Amin Beheshti. Amin Beheshti is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 1 | |
| 3 | 0 | |
| 4 | 0 | |
| 5 | 0 | |
| 6 | 1 | |
| 7 | 1 | |
| 8 | 1 | |
| 9 | 6 | |
| 10 | 12 | |
| 11 | 23 | |
| 12 | 0 | |
| 13 | 2 | |
| 14 | 9 | |
| 15 | 17 | |
| 16 | 71 | |
| 17 | 9 | |
| 18 | 98 | |
| 19 | 24 | |
| 20 | 8 |
About Amin Beheshti
Amin Beheshti is a scholar working on Health Informatics, Artificial Intelligence and Computer Science Applications, having authored 136 papers that have together received 2.0k indexed citations. Recurring topics across this work include Advanced Graph Neural Networks (15 papers), Data Quality and Management (12 papers) and Anomaly Detection Techniques and Applications (11 papers). The work is most often cited by research in Health Informatics (48 citations), Artificial Intelligence (879 citations) and Information Systems (460 citations). Amin Beheshti has collaborated with scholars based in Australia, China and United States. Frequent co-authors include Boualem Benatallah, Reza Nouri, Nour Moustafa, Hamid Reza Motahari‐Nezhad, Asim Dilawar Bakhshi, Hasnat Khurshid, Javed Ashraf, Hamid Alinejad‐Rokny, Jia Wu and Jian Yang. Their work appears in journals such as SHILAP Revista de lepidopterología, Scientific Reports and International Journal of Molecular 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.