Subhash Kak
Impact in
- Artificial Intelligence top 1%
- Quantum Computing Algorithms and Architecture
- Quantum Information and Cryptography
- Neural Networks and Applications
- Cryptography and Data Security
- Neural Networks and Reservoir Computing
- Theoretical Computer Science top 5%
Papers in
-
- Neural Networks and Applications 30
- Quantum Computing Algorithms and Architecture 29
- Quantum Information and Cryptography 26
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- Quantum Mechanics and Applications 38
- Co-authors
- Abhishek Parakh (13 shared papers)N. Jayant (1 shared paper)Pramode K. Verma (6 shared papers)Yuhua Chen (7 shared papers)M. Kafatos (4 shared papers)Georg Feuerstein (1 shared paper)Anindya Chatterjee (1 shared paper)Karl H. Pribram (1 shared paper)
- Journals
- Information Sciences (14 papers)Electronics Letters (10 papers)Mankind Quarterly (7 papers)Lecture notes in control and information sciences (4 papers)Proceedings of the IEEE (3 papers)
- Partner nations
- United StatesIndiaUnited Kingdom
In The Last Decade
Subhash Kak
190 papers receiving 1.8k citations
Peers
Comparison fields: 5 of 145
- Artificial Intelligence 1.0k
- Theoretical Computer Science 24
- Computer Vision and Pattern Recognition 332
- Computational Theory and Mathematics 251
- Atomic and Molecular Physics, and Optics 348
Countries citing papers authored by Subhash Kak
This map shows the geographic impact of Subhash Kak'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 Subhash Kak with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Subhash Kak more than expected).
Fields of papers citing papers by Subhash Kak
This network shows the impact of papers produced by Subhash Kak. 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 Subhash Kak. The network helps show where Subhash Kak may publish in the future.
Co-authors
The 25 scholars most cited alongside Subhash Kak, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 212 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 1995 | 172 | |
| 2 | 1995 | 149 | |
| 3 | 1999 | 90 | |
| 4 | 2006 | 77 | |
| 5 | 2009 | 71 | |
| 6 | 1970 | 61 | |
| 7 | 2010 | 49 | |
| 8 | 2007 | 45 | |
| 9 | 2002 | 37 | |
| 10 | 2007 | 37 | |
| 11 | 1996 | 33 | |
| 12 | 2020 | 31 | |
| 13 | 1977 | 31 | |
| 14 | 1995 | 29 | |
| 15 | 1999 | 27 | |
| 16 | 2015 | 26 | |
| 17 | 1999 | 24 | |
| 18 | The Three Languages of the Brain: Quantum, Reorganizational, and Associative | 1996 | 24 |
| 19 | 2009 | 24 | |
| 20 | 2000 | 21 |
About Subhash Kak
Subhash Kak is a scholar working on Artificial Intelligence, Atomic and Molecular Physics, and Optics, Computer Vision and Pattern Recognition, Computational Theory and Mathematics and Statistical and Nonlinear Physics, having authored 212 papers that have together received 2.0k indexed citations. Recurring topics across this work include Quantum Mechanics and Applications (38 papers), Neural Networks and Applications (30 papers), Quantum Computing Algorithms and Architecture (29 papers), Quantum Information and Cryptography (26 papers), Chaos-based Image/Signal Encryption (22 papers), Computability, Logic, AI Algorithms (21 papers), Historical Astronomy and Related Studies (12 papers) and Neural dynamics and brain function (10 papers). The work is most often cited by research in Artificial Intelligence (1.0k citations), Theoretical Computer Science (24 citations), Computer Vision and Pattern Recognition (332 citations), Computational Theory and Mathematics (251 citations) and Atomic and Molecular Physics, and Optics (348 citations). Subhash Kak has collaborated with scholars based in United States, India and United Kingdom. Frequent co-authors include Abhishek Parakh, N. Jayant, Pramode K. Verma, Yuhua Chen, M. Kafatos, Georg Feuerstein, Anindya Chatterjee, Karl H. Pribram, Deepak Chopra and Michael Stinson. Their work appears in journals such as Information Sciences, Electronics Letters, Mankind Quarterly, Lecture notes in control and information sciences and Proceedings of the IEEE.
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.