Sanjit Chatterjee

1.0k citations
52 papers · 735 · h-index 14

Impact in

Papers in

    • Cryptography and Data Security 47
    • Cryptographic Implementations and Security 18
    • Coding theory and cryptography 14
    • Privacy-Preserving Technologies in Data 8
    • Cryptography and Residue Arithmetic 16

Sanjit Chatterjee

50 papers receiving 690 citations

Peers

Sanjit Chatterjee
Comparison fields: 5 of 28
  • Artificial Intelligence 703
  • Computational Theory and Mathematics 258
  • Information Systems 289
  • Computer Vision and Pattern Recognition 122
  • Computer Networks and Communications 132
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Markus Rückert Germany
Jee Hea An United States
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Citations per field
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Citations per year

Countries citing papers authored by Sanjit Chatterjee

Since Specialization
Citations

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

Fields of papers citing papers by Sanjit Chatterjee

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 13 scholars most cited alongside Sanjit Chatterjee, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Sanjit Chatterjee Line = papers co-authored together Sanjit Chatterjee links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 52 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2011101
2 200657
3 200655
4 201252
5 201150
6 200648
7 200941
8 201035
9 200532
10 201225
11 201520
12 201720
13 201318
14 200618
15 200614
16 200913
17 201511
18 201611
19
Variants of Waters' Dual System Primitives Using Asymmetric Pairings (Extended Abstract)
20129
20 20209

About Sanjit Chatterjee

Sanjit Chatterjee is a scholar working on Artificial Intelligence, Information Systems, Computational Theory and Mathematics, Computer Networks and Communications and Pharmacy, having authored 52 papers that have together received 735 indexed citations. Recurring topics across this work include Cryptography and Data Security (47 papers), Cryptographic Implementations and Security (18 papers), Cryptography and Residue Arithmetic (16 papers), Complexity and Algorithms in Graphs (15 papers), Coding theory and cryptography (14 papers), Advanced Authentication Protocols Security (9 papers), Privacy-Preserving Technologies in Data (8 papers) and Chaos-based Image/Signal Encryption (3 papers). The work is most often cited by research in Artificial Intelligence (703 citations), Computational Theory and Mathematics (258 citations), Information Systems (289 citations), Computer Vision and Pattern Recognition (122 citations) and Computer Networks and Communications (132 citations). Sanjit Chatterjee has collaborated with scholars based in India, Canada and United States. Frequent co-authors include Palash Sarkar, Alfred Menezes, Palash Sarkar, Darrel Hankerson, Rana Barua, Edward Knapp, Chethan Kamath, Koray Karabina, Berkant Ustaoğlu and Neal Koblitz. Their work appears in journals such as Lecture notes in computer science, IEEE Transactions on Computers, Journal of Mathematical Cryptology, Discrete Applied Mathematics and Designs Codes and Cryptography.

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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