Payman Mohassel

4.9k total citations · 1 hit paper
19 papers, 1.6k citations indexed

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 19 papers receiving a total of 1.6k indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Artificial Intelligence, 5 papers in Computer Networks and Communications and 5 papers in Computational Theory and Mathematics. Recurrent topics in Payman Mohassel's work include Cryptography and Data Security (15 papers), Privacy-Preserving Technologies in Data (6 papers) and Complexity and Algorithms in Graphs (5 papers). Payman Mohassel is often cited by papers focused on Cryptography and Data Security (15 papers), Privacy-Preserving Technologies in Data (6 papers) and Complexity and Algorithms in Graphs (5 papers). Payman Mohassel collaborates with scholars based in United States, Canada and Israel. Payman Mohassel's co-authors include Yupeng Zhang, Peter Rindal, Mike Rosulek, Ben Riva, Seny Kamara, Ye Zhang, Ni Trieu, Ian Miers, Shashank Agrawal and Pratyay Mukherjee and has published in prestigious journals such as SHILAP Revista de lepidopterología, Lecture notes in computer science and The Computer Journal.

In The Last Decade

Payman Mohassel

18 papers receiving 1.5k citations

Hit Papers

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What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

SecureML: A System for Scalable Privacy-Preserving Machine Learning

2017 1.0k citations Payman Mohassel, Yupeng Zhang profile →

Peers

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).

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.

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

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19 of 19 papers shown

#	Work	Indexed citations
1	Practical Privacy-Preserving K-means Clustering 2020 ·SHILAP Revista de lepidopterología ·Payman Mohassel, Mike Rosulek, Ni Trieu	39
2	Privacy-Preserving Payment Splitting 2020 ·SHILAP Revista de lepidopterología ·Saba Eskandarian, Mihai Christodorescu, Payman Mohassel	0
3	Fast Database Joins and PSI for Secret Shared Data 2020 ·Payman Mohassel, Peter Rindal, Mike Rosulek	26
4	ABY ³ 2018 ·Payman Mohassel, Peter Rindal	220
5	PASTA 2018 ·Shashank Agrawal, Peihan Miao, Payman Mohassel, Pratyay Mukherjee	32
6	DiSE 2018 ·Shashank Agrawal, Payman Mohassel, Pratyay Mukherjee, Peter Rindal	11
7	IO-DSSE: Scaling Dynamic Searchable Encryption to Millions of Indexes By Improving Locality 2017 ·Ian Miers, Payman Mohassel	26
8	Efficient, Constant-Round and Actively Secure MPC 2017 ·Nishanth Chandran, Juan A. Garay, Payman Mohassel, (unknown)	5
9	SecureML: A System for Scalable Privacy-Preserving Machine Learning breakdown → 2017 ·Payman Mohassel, Yupeng Zhang	1042
10	Fast and Secure Three-party Computation 2015 ·Payman Mohassel, Mike Rosulek, Ye Zhang	58
11	Efficient Server-Aided 2PC for Mobile Phones 2015 ·SHILAP Revista de lepidopterología ·Payman Mohassel, (unknown), Ben Riva	19
12	On protection in federated social computing systems 2014 ·(unknown), Patrick S.W. Fong, Payman Mohassel	6
13	Applied Cryptography and Network Security: 11th International Conference, ACNS 2013, Banff, AB, Canada, June 25-28, 2013. Proceedings 2013 ·Digital Access to Libraries (Université catholique de Louvain (UCL), l'Université de Namur (UNamur) and the Université Saint-Louis (USL-B)) ·Michael J. Jacobson, Michael E. Locasto, Payman Mohassel	4
14	Proceedings of the 11th international conference on Applied Cryptography and Network Security 2013 ·Michael J. Jacobson, Michael E. Locasto, Payman Mohassel, Reihaneh Safavi–Naini	7
15	Applied Cryptography and Network Security 2013 ·Lecture notes in computer science ·Michael J. Jacobson, Michael E. Locasto, Payman Mohassel, Reihaneh Safavi–Naini	15
16	ZIDS: A Privacy-Preserving Intrusion Detection System Using Secure Two-Party Computation Protocols 2013 ·The Computer Journal ·Salman Niksefat, Babak Sadeghiyan, Payman Mohassel, Saeed Sadeghian	10
17	Salus 2012 ·Seny Kamara, Payman Mohassel, Ben Riva	60
18	Model based analysis of internet filtering systems 2011 ·(unknown), Payman Mohassel, Behrouz H. Far	1
19	Longest common subsequence as private search 2009 ·Mark Gondree, Payman Mohassel	7

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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