Payman Mohassel

12 papers and 1.0k indexed citations i.

About

Payman Mohassel is a scholar working on Artificial Intelligence, Computer Networks and Communications and Computational Theory and Mathematics. According to data from OpenAlex, Payman Mohassel has authored 12 papers receiving a total of 1.0k indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Artificial Intelligence, 4 papers in Computer Networks and Communications and 3 papers in Computational Theory and Mathematics. Recurrent topics in Payman Mohassel’s work include Cryptography and Data Security (10 papers), Privacy-Preserving Technologies in Data (5 papers) and Combinatorial Optimization and Complexity Theory (3 papers). Payman Mohassel is often cited by papers focused on Cryptography and Data Security (10 papers), Privacy-Preserving Technologies in Data (5 papers) and Combinatorial Optimization and Complexity Theory (3 papers). Payman Mohassel collaborates with scholars based in United States, Canada and Iran. Payman Mohassel's co-authors include Yupeng Zhang, Peter Rindal, Mike Rosulek, Ni Trieu, Shashank Agrawal, Pratyay Mukherjee, Peihan Miao, Michael J. Jacobson, Ben Riva and Michael E. Locasto and has published in prestigious journals such as Lecture notes in computer science, The Computer Journal and CiteSeer X (The Pennsylvania State University).

In The Last Decade

Co-authorship network of co-authors of Payman Mohassel i

Fields of papers citing papers by Payman Mohassel

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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.

Countries citing papers authored by Payman Mohassel

Since Specialization
Citations

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).

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.

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