Sujoy Sinha Roy

2.9k total citations
57 papers, 1.2k citations indexed

About

Sujoy Sinha Roy is a scholar working on Artificial Intelligence, Information Systems and Computer Vision and Pattern Recognition. According to data from OpenAlex, Sujoy Sinha Roy has authored 57 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 50 papers in Artificial Intelligence, 19 papers in Information Systems and 16 papers in Computer Vision and Pattern Recognition. Recurrent topics in Sujoy Sinha Roy's work include Cryptography and Data Security (33 papers), Cryptographic Implementations and Security (31 papers) and Coding theory and cryptography (25 papers). Sujoy Sinha Roy is often cited by papers focused on Cryptography and Data Security (33 papers), Cryptographic Implementations and Security (31 papers) and Coding theory and cryptography (25 papers). Sujoy Sinha Roy collaborates with scholars based in Belgium, Austria and United Kingdom. Sujoy Sinha Roy's co-authors include Ingrid Verbauwhede, Fréderik Vercauteren, Furkan Turan, Kimmo Järvinen, Ahmet Can Mert, Ruan de Clercq, Prasanna Ravi, Shivam Bhasin, Anupam Chattopadhyay and Chester Rebeiro and has published in prestigious journals such as SHILAP Revista de lepidopterología, IEEE Transactions on Computers and IEEE Transactions on Information Forensics and Security.

In The Last Decade

Sujoy Sinha Roy

50 papers receiving 1.2k citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Sujoy Sinha Roy Belgium 20 1.0k 476 269 194 136 57 1.2k
Peter Schwabe Netherlands 15 1.0k 1.0× 453 1.0× 263 1.0× 127 0.7× 97 0.7× 34 1.2k
J.-J. Quisquater Belgium 13 696 0.7× 389 0.8× 402 1.5× 119 0.6× 86 0.6× 29 1.0k
Sung‐Ming Yen Taiwan 12 519 0.5× 336 0.7× 145 0.5× 108 0.6× 63 0.5× 34 621
Vadim Lyubashevsky Switzerland 8 719 0.7× 268 0.6× 176 0.7× 42 0.2× 130 1.0× 20 825
Christof Paar Germany 6 427 0.4× 204 0.4× 243 0.9× 90 0.5× 63 0.5× 10 627
Serge Vaudenay Switzerland 18 600 0.6× 293 0.6× 237 0.9× 55 0.3× 78 0.6× 97 864
Luca Breveglieri Italy 19 795 0.8× 143 0.3× 314 1.2× 405 2.1× 90 0.7× 75 984
Johann Großschädl Luxembourg 16 458 0.4× 231 0.5× 203 0.8× 98 0.5× 34 0.3× 46 639
Christian Rechberger Austria 18 697 0.7× 101 0.2× 376 1.4× 187 1.0× 43 0.3× 64 799
Aydın Aysu United States 15 503 0.5× 164 0.3× 174 0.6× 266 1.4× 34 0.3× 64 702

Countries citing papers authored by Sujoy Sinha Roy

Since Specialization
Citations

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

Fields of papers citing papers by Sujoy Sinha Roy

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Sujoy Sinha Roy. 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 Sujoy Sinha Roy. The network helps show where Sujoy Sinha Roy may publish in the future.

Co-authorship network of co-authors of Sujoy Sinha Roy

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

All Works

20 of 20 papers shown
1.
Mert, Ahmet Can, et al.. (2025). Accelerating Isogeny Walks for VDF Evaluation. 2(1).
2.
Mert, Ahmet Can, et al.. (2025). REED: Chiplet-based Accelerator for Fully Homomorphic Encryption. IACR Transactions on Cryptographic Hardware and Embedded Systems. 2025(2). 163–208. 1 indexed citations
3.
Mert, Ahmet Can, et al.. (2024). Aloha-HE: A Low-Area Hardware Accelerator for Client-Side Operations in Homomorphic Encryption. Zenodo (CERN European Organization for Nuclear Research). 1–6. 5 indexed citations
4.
Pagliarini, Samuel, et al.. (2024). REPQC: Reverse Engineering and Backdooring Hardware Accelerators for Post-quantum Cryptography. 533–547. 1 indexed citations
6.
Mert, Ahmet Can, et al.. (2023). ModHE: Modular Homomorphic Encryption Using Module Lattices. IACR Transactions on Cryptographic Hardware and Embedded Systems. 2024(1). 527–562. 3 indexed citations
7.
Imran, Malik, et al.. (2023). High-speed SABER key encapsulation mechanism in 65nm CMOS. Journal of Cryptographic Engineering. 13(4). 461–471. 8 indexed citations
8.
Cassiers, Gaëtan, et al.. (2023). Kavach: Lightweight masking techniques for polynomial arithmetic in lattice-based cryptography. IACR Transactions on Cryptographic Hardware and Embedded Systems. 366–390. 6 indexed citations
9.
Roy, Sujoy Sinha, et al.. (2020). High-speed Instruction-set Coprocessor for Lattice-based Key Encapsulation Mechanism: Saber in Hardware. IACR Transactions on Cryptographic Hardware and Embedded Systems. 443–466. 66 indexed citations
10.
Mera, Jose Maria Bermudo, Furkan Turan, Angshuman Karmakar, Sujoy Sinha Roy, & Ingrid Verbauwhede. (2020). Compact domain-specific co-processor for accelerating module lattice-based KEM. Lirias (KU Leuven). 1–6. 26 indexed citations
11.
Roy, Sujoy Sinha, Furkan Turan, Kimmo Järvinen, Fréderik Vercauteren, & Ingrid Verbauwhede. (2019). FPGA-Based High-Performance Parallel Architecture for Homomorphic Computing on Encrypted Data. Lirias (KU Leuven). 387–398. 135 indexed citations
12.
Karmakar, Angshuman, Sujoy Sinha Roy, Oscar Reparaz, Fréderik Vercauteren, & Ingrid Verbauwhede. (2018). Constant-Time Discrete Gaussian Sampling. IEEE Transactions on Computers. 67(11). 1561–1571. 27 indexed citations
13.
Roy, Sujoy Sinha, Kimmo Järvinen, Jo Vliegen, Fréderik Vercauteren, & Ingrid Verbauwhede. (2018). HEPCloud: An FPGA-based Multicore Processor for FV Somewhat Homomorphic Function Evaluation. IEEE Transactions on Computers. 1–1. 61 indexed citations
14.
Clercq, Ruan de, Oscar Reparaz, Sujoy Sinha Roy, Fréderik Vercauteren, & Ingrid Verbauwhede. (2016). Additively Homomorphic ring-LWE Masking. Lecture notes in computer science. 9606. 233–244. 7 indexed citations
15.
Verbauwhede, Ingrid, Josep Balasch, Sujoy Sinha Roy, & Anthony Van Herrewege. (2015). Circuit challenges from cryptography. 428–429. 13 indexed citations
16.
Reparaz, Oscar, Sujoy Sinha Roy, Fréderik Vercauteren, & Ingrid Verbauwhede. (2015). A masked ring-LWE implementation. Lecture notes in computer science. 2015. 683–702. 1 indexed citations
17.
Clercq, Ruan de, Sujoy Sinha Roy, Fréderik Vercauteren, & Ingrid Verbauwhede. (2015). Efficient software implementation of ring-LWE encryption. Design, Automation, and Test in Europe. 339–344. 40 indexed citations
18.
Roy, Sujoy Sinha, Fréderik Vercauteren, Nele Mentens, Donald Donglong Chen, & Ingrid Verbauwhede. (2014). Compact Ring-LWE Cryptoprocessor. Lecture notes in computer science. 8731. 371–391. 2 indexed citations
19.
Roy, Sujoy Sinha, Fréderik Vercauteren, & Ingrid Verbauwhede. (2013). High Precision Discrete Gaussian Sampling on FPGAs. Lecture notes in computer science. 8282. 383–401. 26 indexed citations
20.
Roy, Sujoy Sinha, Chester Rebeiro, & Debdeep Mukhopadhyay. (2012). Theoretical Modeling of Elliptic Curve Scalar Multiplier on LUT-Based FPGAs for Area and Speed. IEEE Transactions on Very Large Scale Integration (VLSI) Systems. 21(5). 901–909. 38 indexed citations

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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