Ajith Ramanathan
Impact in
- Information Systems top 10%
- Recommender Systems and Techniques
- User Authentication and Security Systems
- Artificial Intelligence top 10%
- Cryptography and Data Security
- Cryptographic Implementations and Security
- Security and Verification in Computing
Papers in
-
- Cryptographic Implementations and Security 3
- Cryptography and Data Security 1
- Bayesian Methods and Mixture Models 1
-
- Advanced Authentication Protocols Security 4
- Co-authors
- John C. Mitchell (4 shared papers)Andre Scedrov (3 shared papers)Vanessa Teague (3 shared papers)Jennifer Gillenwater (1 shared paper)Mark Wilhelm (1 shared paper)Sagar Jain (1 shared paper)Ed H. (1 shared paper)Ralf Küsters (1 shared paper)
- Journals
- Theoretical Computer Science (1 paper)Journal of Cryptology (1 paper)Electronic Notes in Theoretical Computer Science (1 paper)
- Partner nations
- United StatesGermany
In The Last Decade
Ajith Ramanathan
5 papers receiving 153 citations
Peers
Comparison fields: 5 of 34
- Information Systems 91
- Artificial Intelligence 122
- Computer Networks and Communications 78
- Computational Theory and Mathematics 24
- Computer Science Applications 7
Countries citing papers authored by Ajith Ramanathan
This map shows the geographic impact of Ajith Ramanathan'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 Ramanathan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ajith Ramanathan more than expected).
Fields of papers citing papers by Ajith Ramanathan
This network shows the impact of papers produced by Ajith Ramanathan. 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 Ramanathan. The network helps show where Ajith Ramanathan may publish in the future.
Co-authors
The 9 scholars most cited alongside Ajith Ramanathan, 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 | 2018 | 66 | |
| 2 | 2005 | 42 | |
| 3 | 2001 | 40 | |
| 4 | 2008 | 15 | |
| 5 | 2005 | 7 |
About Ajith Ramanathan
Ajith Ramanathan is a scholar working on Artificial Intelligence, Computer Networks and Communications, Information Systems, Marketing and Computational Theory and Mathematics, having authored 5 papers that have together received 170 indexed citations. Recurring topics across this work include Advanced Authentication Protocols Security (4 papers), Cryptographic Implementations and Security (3 papers), User Authentication and Security Systems (3 papers), Cryptography and Data Security (1 paper), Formal Methods in Verification (1 paper), Bayesian Methods and Mixture Models (1 paper), Consumer Market Behavior and Pricing (1 paper) and Human Mobility and Location-Based Analysis (1 paper). The work is most often cited by research in Information Systems (91 citations), Artificial Intelligence (122 citations), Computer Networks and Communications (78 citations), Computational Theory and Mathematics (24 citations) and Computer Science Applications (7 citations). Ajith Ramanathan has collaborated with scholars based in United States and Germany. Frequent co-authors include John C. Mitchell, Andre Scedrov, Vanessa Teague, Jennifer Gillenwater, Mark Wilhelm, Sagar Jain, Ed H., Ralf Küsters and Anupam Datta. Their work appears in journals such as Theoretical Computer Science, Journal of Cryptology and Electronic Notes in Theoretical Computer Science.
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.