Hamed Azarnoush
- Surgery top 10%
- Biomedical Engineering top 5%
- Computer Networks and Communications top 2%
- Cognitive Neuroscience top 5%
- Statistical and Nonlinear Physics top 2%
- Co-authors
- Sajad JafariFatemeh ParasteshRolando F. Del MaestroAlexander Winkler-SchwartzMatjaž PercHamidreza NamaziFahad E. AlotaibiBoshra Hatef
- Topics
- Surgical Simulation and Training (18 papers)Nonlinear Dynamics and Pattern Formation (15 papers)Neural dynamics and brain function (14 papers)
- Journals
- SHILAP Revista de lepidopterologíaScientific ReportsPhysics Reports
- Partner nations
- IranCanadaSaudi Arabia
In The Last Decade
Hamed Azarnoush
58 papers receiving 1.5k citations
Hit Papers
Peers
Comparison fields: 5 of 123
- Surgery 509
- Biomedical Engineering 487
- Computer Networks and Communications 459
- Cognitive Neuroscience 423
- Statistical and Nonlinear Physics 419
Countries citing papers authored by Hamed Azarnoush
This map shows the geographic impact of Hamed Azarnoush'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 Hamed Azarnoush with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Hamed Azarnoush more than expected).
Fields of papers citing papers by Hamed Azarnoush
This network shows the impact of papers produced by Hamed Azarnoush. 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 Hamed Azarnoush. The network helps show where Hamed Azarnoush may publish in the future.
Co-authorship network of co-authors of Hamed Azarnoush
This figure shows the co-authorship network connecting the top 25 collaborators of Hamed Azarnoush. A scholar is included among the top collaborators of Hamed Azarnoush 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 Hamed Azarnoush. Hamed Azarnoush is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 30 | |
| 2 | 6 | |
| 3 | 5 | |
| 4 | 3 | |
| 5 | 2 | |
| 6 | 41 | |
| 7 | 87 | |
| 8 | 10 | |
| 9 | 17 | |
| 10 | 37 | |
| 11 | 36 | |
| 12 | 30 | |
| 13 | 18 | |
| 14 | 55 | |
| 15 | 5 | |
| 16 | 65 | |
| 17 | 7 | |
| 18 | 1 | |
| 19 | Strong Convergence of Weighted Sums for Negatively Orthant Dependent Random Variables | 0 |
| 20 | Almost Sure Convergence Rates for the Estimation of a Covariance Operator for Negatively Associated Samples | 2 |
About Hamed Azarnoush
Hamed Azarnoush is a scholar working on Statistical and Nonlinear Physics, Cognitive Neuroscience and Health Informatics, having authored 61 papers that have together received 1.6k indexed citations. Recurring topics across this work include Surgical Simulation and Training (18 papers), Nonlinear Dynamics and Pattern Formation (15 papers) and Neural dynamics and brain function (14 papers). The work is most often cited by research in Health Informatics (122 citations), Statistical and Nonlinear Physics (419 citations) and Cognitive Neuroscience (423 citations). Hamed Azarnoush has collaborated with scholars based in Iran, Canada and Saudi Arabia. Frequent co-authors include Sajad Jafari, Fatemeh Parastesh, Rolando F. Del Maestro, Alexander Winkler-Schwartz, Matjaž Perc, Hamidreza Namazi, Fahad E. Alotaibi, Boshra Hatef, Abdulrahman J. Sabbagh and Stefano Boccaletti. Their work appears in journals such as SHILAP Revista de lepidopterología, Scientific Reports and Physics Reports.
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.