Ajit Narayanan
Impact in
- Artificial Intelligence top 10%
- Quantum Computing Algorithms and Architecture
- Quantum Information and Cryptography
- Neural Networks and Applications
- Neural Networks and Reservoir Computing
- Evolutionary Algorithms and Applications
Papers in
-
- Natural Language Processing Techniques 2
-
- semigroups and automata theory 2
- Cellular Automata and Applications 1
- Co-authors
- Björn Olsson (2 shared papers)Zhengrong Yang (1 shared paper)Edward Keedwell (1 shared paper)Dan Lundh (1 shared paper)Marta E. Polak (1 shared paper)Jeremy Hurren (1 shared paper)Louise A. Knight (1 shared paper)Charlie Hodgman (1 shared paper)
- Journals
- Information Sciences (2 papers)Information & Communications Technology Law (1 paper)Toxins (1 paper)Journal of Clinical Pathology (1 paper)Biosystems (1 paper)
- Partner nations
- United KingdomNew ZealandSweden
In The Last Decade
Ajit Narayanan
15 papers receiving 315 citations
Peers
Comparison fields: 5 of 89
- Artificial Intelligence 156
- Computational Theory and Mathematics 63
- Virology 11
- Molecular Biology 122
- Hepatology 10
Countries citing papers authored by Ajit Narayanan
This map shows the geographic impact of Ajit Narayanan'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 Ajit Narayanan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ajit Narayanan more than expected).
Fields of papers citing papers by Ajit Narayanan
This network shows the impact of papers produced by Ajit Narayanan. 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 Ajit Narayanan. The network helps show where Ajit Narayanan may publish in the future.
Co-authors
The 19 scholars most cited alongside Ajit Narayanan, 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 | 2000 | 120 | |
| 2 | 2002 | 67 | |
| 3 | Artificial intelligence techniques for bioinformatics. | 2002 | 37 |
| 4 | 1997 | 31 | |
| 5 | 2010 | 22 | |
| 6 | 2003 | 16 | |
| 7 | 1993 | 12 | |
| 8 | 2002 | 12 | |
| 9 | 2001 | 6 | |
| 10 | 1991 | 5 | |
| 11 | 1994 | 3 | |
| 12 | 1998 | 3 | |
| 13 | On being a machine. Vol. 1: formal aspects of artificial intelligence | 1988 | 1 |
| 14 | 2011 | 1 | |
| 15 | 1999 | 1 | |
| 16 | 2026 | 0 |
About Ajit Narayanan
Ajit Narayanan is a scholar working on Artificial Intelligence, Computational Theory and Mathematics, Molecular Biology, Computer Networks and Communications and Political Science and International Relations, having authored 16 papers that have together received 337 indexed citations. Recurring topics across this work include Natural Language Processing Techniques (2 papers), Machine Learning in Bioinformatics (2 papers), semigroups and automata theory (2 papers), Fermentation and Sensory Analysis (1 paper), Legal Education and Practice Innovations (1 paper), Cellular Automata and Applications (1 paper), Plant Physiology and Cultivation Studies (1 paper) and Advanced Database Systems and Queries (1 paper). The work is most often cited by research in Artificial Intelligence (156 citations), Computational Theory and Mathematics (63 citations), Virology (11 citations), Molecular Biology (122 citations) and Hepatology (10 citations). Ajit Narayanan has collaborated with scholars based in United Kingdom, New Zealand and Sweden. Frequent co-authors include Björn Olsson, Zhengrong Yang, Edward Keedwell, Dan Lundh, Marta E. Polak, Jeremy Hurren, Louise A. Knight, Charlie Hodgman, Zheng Rong Yang and Matthew Poole. Their work appears in journals such as Information Sciences, Information & Communications Technology Law, Toxins, Journal of Clinical Pathology and Biosystems.
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.