Ajith Suresh

4.9k total citations
17 papers, 148 citations indexed

About

Ajith Suresh is a scholar working on Artificial Intelligence, Information Systems and Computational Theory and Mathematics. According to data from OpenAlex, Ajith Suresh has authored 17 papers receiving a total of 148 indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Artificial Intelligence, 3 papers in Information Systems and 3 papers in Computational Theory and Mathematics. Recurrent topics in Ajith Suresh's work include Privacy-Preserving Technologies in Data (13 papers), Cryptography and Data Security (12 papers) and Stochastic Gradient Optimization Techniques (8 papers). Ajith Suresh is often cited by papers focused on Privacy-Preserving Technologies in Data (13 papers), Cryptography and Data Security (12 papers) and Stochastic Gradient Optimization Techniques (8 papers). Ajith Suresh collaborates with scholars based in Germany, United Arab Emirates and India. Ajith Suresh's co-authors include Arpita Patra, Thomas Schneider, Hossein Yalame, Jenn-Wei Lin, Pethuru Raj, Benny Pinkas, Murali Annavaram, Victor Sucasas, Yaniv Ben-Itzhak and Shay Vargaftik and has published in prestigious journals such as SHILAP Revista de lepidopterología, IEEE Transactions on Information Forensics and Security and Journal of Cryptology.

In The Last Decade

Ajith Suresh

15 papers receiving 146 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Ajith Suresh Germany	7	129	16	14	11	7	17	148
Hossein Yalame Germany	7	123 1.0×	14 0.9×	8 0.6×	6 0.5×	8 1.1×	15	131
Danilo Francati Italy	3	90 0.7×	34 2.1×	17 1.2×	8 0.7×	5 0.7×	5	109
Kallista Bonawitz United States	3	60 0.5×	14 0.9×	13 0.9×	11 1.0×	4 0.6×	3	75
Arpita Patra India	5	107 0.8×	25 1.6×	10 0.7×	5 0.5×	17 2.4×	19	121
Alex J. Malozemoff United States	8	73 0.6×	19 1.2×	11 0.8×	12 1.1×	14 2.0×	11	88
Daniel Apon United States	4	70 0.5×	18 1.1×	13 0.9×	12 1.1×	11 1.6×	7	80
Isamu Teranishi Japan	5	41 0.3×	19 1.2×	14 1.0×	5 0.5×	7 1.0×	11	50
Abdelrahaman Aly Belgium	5	76 0.6×	26 1.6×	8 0.6×	17 1.5×	4 0.6×	7	95
M. Ramakrishna Murty India	6	72 0.6×	28 1.8×	9 0.6×	4 0.4×	5 0.7×	7	110
Janus Dam Nielsen Denmark	4	57 0.4×	21 1.3×	13 0.9×	6 0.5×	16 2.3×	4	63

Countries citing papers authored by Ajith Suresh

Since Specialization

Citations

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

Fields of papers citing papers by Ajith Suresh

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ajith Suresh

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

All Works

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17 of 17 papers shown

Judkewitz, Benjamin, et al.. (2025). Privacy-Preserving Epidemiological Modeling on Mobile Graphs. IEEE Transactions on Information Forensics and Security. 20. 3088–3101. 1 indexed citations

Suresh, Ajith, et al.. (2025). SoK: Truncation Untangled: Scaling Fixed-Point Arithmetic for Privacy-Preserving Machine Learning to Large Models and Datasets. Proceedings on Privacy Enhancing Technologies. 2025(4). 369–391.

Aly, Abdelrahaman, et al.. (2024). FANNG-MPC: Framework for Artificial Neural Networks and Generic MPC. IACR Transactions on Cryptographic Hardware and Embedded Systems. 2025(1). 1–36. 1 indexed citations

Suresh, Ajith, et al.. (2024). High-Throughput Secure Multiparty Computation with an Honest Majority in Various Network Settings. Proceedings on Privacy Enhancing Technologies. 2025(1). 250–272. 1 indexed citations

Schneider, Thomas, et al.. (2024). Don’t Eject the Impostor: Fast Three-Party Computation With a Known Cheater. TUbilio (Technical University of Darmstadt). 503–522. 6 indexed citations

Ben-Itzhak, Yaniv, Benny Pinkas, Thomas Schneider, et al.. (2024). ScionFL: Efficient and Robust Secure Quantized Aggregation. TUbilio (Technical University of Darmstadt). 490–511. 3 indexed citations

Suresh, Ajith, et al.. (2024). Privadome: Delivery Drones and Citizen Privacy. Proceedings on Privacy Enhancing Technologies. 2024(2). 29–48. 2 indexed citations

Schneider, Thomas, Ajith Suresh, & Hossein Yalame. (2023). Comments on “Privacy-Enhanced Federated Learning Against Poisoning Adversaries”. IEEE Transactions on Information Forensics and Security. 18. 1407–1409. 12 indexed citations

Schneider, Thomas, et al.. (2023). SafeFL: MPC-friendly Framework for Private and Robust Federated Learning. 69–76. 27 indexed citations

10.

Patra, Arpita, et al.. (2023). MPClan: Protocol Suite for Privacy-Conscious Computations. Journal of Cryptology. 36(3). 8 indexed citations

11.

Schneider, Thomas, et al.. (2023). FLUTE: Fast and Secure Lookup Table Evaluations. TUbilio (Technical University of Darmstadt). 515–533. 7 indexed citations

12.

Schneider, Thomas, et al.. (2022). Poster. Proceedings of the 2022 ACM SIGSAC Conference on Computer and Communications Security. 3331–3333.

13.

Patra, Arpita, et al.. (2022). Poster MPClan:. Proceedings of the 2022 ACM SIGSAC Conference on Computer and Communications Security. 3379–3381. 1 indexed citations

14.

Judkewitz, Benjamin, et al.. (2022). Poster. Proceedings of the 2022 ACM SIGSAC Conference on Computer and Communications Security. 3351–3353. 1 indexed citations

15.

Patra, Arpita, et al.. (2020). FLASH: Fast and Robust Framework for Privacy-preserving Machine Learning. SHILAP Revista de lepidopterología. 67 indexed citations

16.

Patra, Arpita, et al.. (2020). SWIFT: Super-fast and Robust Privacy-Preserving Machine Learning.. TUbilio (Technical University of Darmstadt). 2020. 2651–2668. 1 indexed citations

17.

Suresh, Ajith, et al.. (2020). Industrial IoT Application Architectures and Use Cases. Auerbach Publications eBooks. 10 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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