Payman Mohassel
- Artificial Intelligence top 0.5%
- Information Systems top 2%
- Computational Theory and Mathematics top 5%
- Computer Networks and Communications top 10%
- Computer Vision and Pattern Recognition top 5%
- Co-authors
- Yupeng ZhangPeter RindalMike RosulekBen RivaSeny KamaraYe ZhangNi TrieuIan Miers
- Topics
- Cryptography and Data Security (15 papers)Privacy-Preserving Technologies in Data (6 papers)Complexity and Algorithms in Graphs (5 papers)
- Journals
- SHILAP Revista de lepidopterologíaLecture notes in computer scienceThe Computer Journal
- Partner nations
- United StatesCanadaIsrael
In The Last Decade
Payman Mohassel
18 papers receiving 1.5k citations
Hit Papers
Peers
Comparison fields: 5 of 63
- Artificial Intelligence 1.5k
- Information Systems 302
- Computational Theory and Mathematics 168
- Computer Networks and Communications 156
- Computer Vision and Pattern Recognition 149
Countries citing papers authored by Payman Mohassel
This map shows the geographic impact of Payman Mohassel'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 Payman Mohassel with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Payman Mohassel more than expected).
Fields of papers citing papers by Payman Mohassel
This network shows the impact of papers produced by Payman Mohassel. 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 Payman Mohassel. The network helps show where Payman Mohassel may publish in the future.
Co-authorship network of co-authors of Payman Mohassel
This figure shows the co-authorship network connecting the top 25 collaborators of Payman Mohassel. A scholar is included among the top collaborators of Payman Mohassel 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 Payman Mohassel. Payman Mohassel is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 39 | |
| 2 | 0 | |
| 3 | 26 | |
| 4 | 220 | |
| 5 | 32 | |
| 6 | 11 | |
| 7 | 26 | |
| 8 | 5 | |
| 9 | SecureML: A System for Scalable Privacy-Preserving Machine Learningbreakdown → | 1042 |
| 10 | 58 | |
| 11 | 19 | |
| 12 | 6 | |
| 13 | 4 | |
| 14 | Proceedings of the 11th international conference on Applied Cryptography and Network Security | 7 |
| 15 | 15 | |
| 16 | 10 | |
| 17 | 60 | |
| 18 | 1 | |
| 19 | 7 |
About Payman Mohassel
Payman Mohassel is a scholar working on Artificial Intelligence, Computational Theory and Mathematics and Software, having authored 19 papers that have together received 1.6k indexed citations. Recurring topics across this work include Cryptography and Data Security (15 papers), Privacy-Preserving Technologies in Data (6 papers) and Complexity and Algorithms in Graphs (5 papers). The work is most often cited by research in Artificial Intelligence (1.5k citations), Information Systems (302 citations) and Computer Science Applications (68 citations). Payman Mohassel has collaborated with scholars based in United States, Canada and Israel. Frequent co-authors include Yupeng Zhang, Peter Rindal, Mike Rosulek, Ben Riva, Seny Kamara, Ye Zhang, Ni Trieu, Ian Miers, Shashank Agrawal and Pratyay Mukherjee. Their work appears in journals such as SHILAP Revista de lepidopterología, Lecture notes in computer science and The Computer Journal.
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.