Ajith Suresh
Impact in
- Artificial Intelligence top 10%
- Privacy-Preserving Technologies in Data
- Cryptography and Data Security
- Stochastic Gradient Optimization Techniques
- Adversarial Robustness in Machine Learning
- Internet Traffic Analysis and Secure E-voting
Papers in
-
- Privacy-Preserving Technologies in Data 13
- Cryptography and Data Security 12
- Stochastic Gradient Optimization Techniques 8
- Internet Traffic Analysis and Secure E-voting 2
-
- COVID-19 Digital Contact Tracing 1
- Cloud Data Security Solutions 1
- Co-authors
- Arpita Patra (5 shared papers)Thomas Schneider (8 shared papers)Hossein Yalame (7 shared papers)Pethuru Raj (1 shared paper)Jenn-Wei Lin (1 shared paper)Benny Pinkas (3 shared papers)Victor Sucasas (1 shared paper)Tim Güneysu (1 shared paper)
- Journals
- IEEE Transactions on Information Forensics and Security (2 papers)IACR Transactions on Cryptographic Hardware and Embedded Systems (1 paper)Journal of Cryptology (1 paper)SHILAP Revista de lepidopterología (1 paper)Auerbach Publications eBooks (1 paper)
- Partner nations
- GermanyUnited Arab EmiratesIndia
In The Last Decade
Ajith Suresh
15 papers receiving 146 citations
Peers
Comparison fields: 5 of 33
- Artificial Intelligence 129
- Computer Science Applications 4
- Health Informatics 1
- Information Systems 16
- Computer Networks and Communications 14
Countries citing papers authored by Ajith Suresh
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
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-authors
The 19 scholars most cited alongside Ajith Suresh, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2020 | 67 | |
| 2 | 2023 | 27 | |
| 3 | 2023 | 12 | |
| 4 | 2020 | 10 | |
| 5 | 2023 | 8 | |
| 6 | 2023 | 7 | |
| 7 | 2024 | 6 | |
| 8 | 2024 | 3 | |
| 9 | 2024 | 2 | |
| 10 | 2024 | 1 | |
| 11 | SWIFT: Super-fast and Robust Privacy-Preserving Machine Learning. | 2020 | 1 |
| 12 | 2024 | 1 | |
| 13 | 2025 | 1 | |
| 14 | 2022 | 1 | |
| 15 | 2022 | 1 | |
| 16 | 2025 | 0 | |
| 17 | 2022 | 0 |
About Ajith Suresh
Ajith Suresh is a scholar working on Artificial Intelligence, Information Systems, Computational Theory and Mathematics, Sociology and Political Science and Epidemiology, having authored 17 papers that have together received 148 indexed citations. Recurring topics across this work include Privacy-Preserving Technologies in Data (13 papers), Cryptography and Data Security (12 papers), Stochastic Gradient Optimization Techniques (8 papers), Complexity and Algorithms in Graphs (3 papers), Internet Traffic Analysis and Secure E-voting (2 papers), COVID-19 Digital Contact Tracing (1 paper), Cloud Data Security Solutions (1 paper) and Privacy, Security, and Data Protection (1 paper). The work is most often cited by research in Artificial Intelligence (129 citations), Computer Science Applications (4 citations), Health Informatics (1 citation), Information Systems (16 citations) and Computer Networks and Communications (14 citations). Ajith Suresh has collaborated with scholars based in Germany, United Arab Emirates and India. Frequent co-authors include Arpita Patra, Thomas Schneider, Hossein Yalame, Pethuru Raj, Jenn-Wei Lin, Benny Pinkas, Victor Sucasas, Tim Güneysu, Benjamin Judkewitz and Shay Vargaftik. Their work appears in journals such as IEEE Transactions on Information Forensics and Security, IACR Transactions on Cryptographic Hardware and Embedded Systems, Journal of Cryptology, SHILAP Revista de lepidopterología and Auerbach Publications eBooks.
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.