Reza Samavi
- Artificial Intelligence top 10%
- Information Systems top 5%
- Computer Vision and Pattern Recognition top 10%
- Computer Networks and Communications
- Sociology and Political Science
- Co-authors
- Thomas E. DoyleMohammadreza HeydarianThodoros TopaloglouEric YuYu WangMariano P. ConsensYuting LiangAndrew Sutton
- Topics
- Privacy-Preserving Technologies in Data (9 papers)Blockchain Technology Applications and Security (5 papers)Machine Learning in Healthcare (5 papers)
- Journals
- SHILAP Revista de lepidopterologíaIEEE AccessExperimental Biology and Medicine
- Partner nations
- CanadaUnited StatesSpain
In The Last Decade
Reza Samavi
46 papers receiving 563 citations
Hit Papers
Peers
Comparison fields: 5 of 124
- Artificial Intelligence 195
- Information Systems 155
- Computer Vision and Pattern Recognition 59
- Computer Networks and Communications 56
- Sociology and Political Science 56
Countries citing papers authored by Reza Samavi
This map shows the geographic impact of Reza Samavi'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 Reza Samavi with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Reza Samavi more than expected).
Fields of papers citing papers by Reza Samavi
This network shows the impact of papers produced by Reza Samavi. 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 Reza Samavi. The network helps show where Reza Samavi may publish in the future.
Co-authorship network of co-authors of Reza Samavi
This figure shows the co-authorship network connecting the top 25 collaborators of Reza Samavi. A scholar is included among the top collaborators of Reza Samavi 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 Reza Samavi. Reza Samavi is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 3 | |
| 2 | 0 | |
| 3 | 6 | |
| 4 | 3 | |
| 5 | 1 | |
| 6 | 0 | |
| 7 | MLCM: Multi-Label Confusion Matrixbreakdown → | 225 |
| 8 | 3 | |
| 9 | 7 | |
| 10 | 2 | |
| 11 | 23 | |
| 12 | 20 | |
| 13 | 11 | |
| 14 | The first workshop on blockchain & eHealth: towards provable privacy & security in data intensive health research | 3 |
| 15 | A performance predictive model for emergency medicine residents | 6 |
| 16 | 22 | |
| 17 | 40 | |
| 18 | 8 | |
| 19 | 55 | |
| 20 | 3 |
About Reza Samavi
Reza Samavi is a scholar working on Artificial Intelligence, Health Information Management and Information Systems, having authored 48 papers that have together received 598 indexed citations. Recurring topics across this work include Privacy-Preserving Technologies in Data (9 papers), Blockchain Technology Applications and Security (5 papers) and Machine Learning in Healthcare (5 papers). The work is most often cited by research in Health Informatics (13 citations), Health Information Management (43 citations) and Information Systems (155 citations). Reza Samavi has collaborated with scholars based in Canada, United States and Spain. Frequent co-authors include Thomas E. Doyle, Mohammadreza Heydarian, Thodoros Topaloglou, Eric Yu, Yu Wang, Mariano P. Consens, Yuting Liang, Andrew Sutton, David Koff and Teresa M. Chan. Their work appears in journals such as SHILAP Revista de lepidopterología, IEEE Access and Experimental Biology and Medicine.
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.