Pratyay Mukherjee

67 total papers · 1.3k total citations
16 papers, 105 citations indexed

About

Pratyay Mukherjee is a scholar working on Artificial Intelligence, Information Systems and Computational Theory and Mathematics. According to data from OpenAlex, Pratyay Mukherjee has authored 16 papers receiving a total of 105 indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Artificial Intelligence, 7 papers in Information Systems and 4 papers in Computational Theory and Mathematics. Recurrent topics in Pratyay Mukherjee's work include Cryptography and Data Security (14 papers), Cryptographic Implementations and Security (7 papers) and Complexity and Algorithms in Graphs (4 papers). Pratyay Mukherjee is often cited by papers focused on Cryptography and Data Security (14 papers), Cryptographic Implementations and Security (7 papers) and Complexity and Algorithms in Graphs (4 papers). Pratyay Mukherjee collaborates with scholars based in United States, Denmark and Germany. Pratyay Mukherjee's co-authors include Shashank Agrawal, Payman Mohassel, Peihan Miao, Peter Rindal, Rohit Sinha, Sanjam Garg, Leemon C. Baird, Daniele Venturi, Abhishek Jain and Vipul Goyal and has published in prestigious journals such as IEEE Transactions on Information Theory, Theoretical Computer Science and Journal of Cryptology.

In The Last Decade

Pratyay Mukherjee

15 papers receiving 101 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Pratyay Mukherjee 74 56 35 14 12 16 105
Khoa Nguyen 90 1.2× 39 0.7× 25 0.7× 21 1.5× 10 0.8× 22 109
Shuichi Katsumata 108 1.5× 29 0.5× 22 0.6× 20 1.4× 16 1.3× 15 122
Daniel Rausch 57 0.8× 56 1.0× 32 0.9× 12 0.9× 12 1.0× 11 100
Ahto Buldas 55 0.7× 64 1.1× 44 1.3× 11 0.8× 7 0.6× 14 108
Julian Loss 87 1.2× 78 1.4× 50 1.4× 11 0.8× 6 0.5× 14 124
M. Choudary Gorantla 91 1.2× 42 0.8× 71 2.0× 14 1.0× 6 0.5× 10 112
Vishal Saraswat 94 1.3× 34 0.6× 23 0.7× 36 2.6× 15 1.3× 17 127
Jussipekka Leiwo 90 1.2× 81 1.4× 17 0.5× 13 0.9× 9 0.8× 22 119
Saba Eskandarian 139 1.9× 68 1.2× 45 1.3× 10 0.7× 31 2.6× 12 155
Junqing Gong 98 1.3× 51 0.9× 22 0.6× 11 0.8× 4 0.3× 21 122

Countries citing papers authored by Pratyay Mukherjee

Since Specialization
Citations

This map shows the geographic impact of Pratyay Mukherjee'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 Pratyay Mukherjee with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Pratyay Mukherjee more than expected).

Fields of papers citing papers by Pratyay Mukherjee

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Pratyay Mukherjee. 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 Pratyay Mukherjee. The network helps show where Pratyay Mukherjee may publish in the future.

Co-authorship network of co-authors of Pratyay Mukherjee

This figure shows the co-authorship network connecting the top 25 collaborators of Pratyay Mukherjee. A scholar is included among the top collaborators of Pratyay Mukherjee 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 Pratyay Mukherjee. Pratyay Mukherjee is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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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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