Subhash Kak
Impact in
- Artificial Intelligence top 2%
- 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
-
- Quantum Computing Algorithms and Architecture 25
- Neural Networks and Applications 25
- Quantum Information and Cryptography 23
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- Quantum Mechanics and Applications 33
- Co-authors
- Abhishek Parakh (11 shared papers)Yuhua Chen (7 shared papers)N. Jayant (1 shared paper)Pramode K. Verma (6 shared papers)M. Kafatos (4 shared papers)Anindya Chatterjee (1 shared paper)Georg Feuerstein (1 shared paper)Karl H. Pribram (1 shared paper)
- Journals
- Information Sciences (14 papers)Electronics Letters (9 papers)Mankind Quarterly (7 papers)Proceedings of the IEEE (3 papers)Scientific Reports (2 papers)
- Partner nations
- United StatesIndiaAustralia
In The Last Decade
Subhash Kak
170 papers receiving 1.4k citations
Peers
Comparison fields: 5 of 140
- Artificial Intelligence 792
- Theoretical Computer Science 21
- Computer Vision and Pattern Recognition 286
- Computational Theory and Mathematics 178
- Signal Processing 99
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 188 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 1995 | 153 | |
| 2 | 1999 | 83 | |
| 3 | 2006 | 71 | |
| 4 | 2009 | 65 | |
| 5 | 1970 | 60 | |
| 6 | 2010 | 46 | |
| 7 | 2007 | 41 | |
| 8 | 2007 | 33 | |
| 9 | 2002 | 29 | |
| 10 | 2020 | 27 | |
| 11 | 1996 | 27 | |
| 12 | 1977 | 27 | |
| 13 | 1995 | 23 | |
| 14 | 2015 | 23 | |
| 15 | 1999 | 23 | |
| 16 | 2009 | 22 | |
| 17 | 2009 | 19 | |
| 18 | 1999 | 18 | |
| 19 | 1994 | 18 | |
| 20 | 1993 | 18 |
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 188 papers that have together received 1.6k indexed citations. Recurring topics across this work include Quantum Mechanics and Applications (33 papers), Quantum Computing Algorithms and Architecture (25 papers), Neural Networks and Applications (25 papers), Quantum Information and Cryptography (23 papers), Chaos-based Image/Signal Encryption (22 papers), Computability, Logic, AI Algorithms (18 papers), Historical Astronomy and Related Studies (11 papers) and Neural dynamics and brain function (9 papers). The work is most often cited by research in Artificial Intelligence (792 citations), Theoretical Computer Science (21 citations), Computer Vision and Pattern Recognition (286 citations), Computational Theory and Mathematics (178 citations) and Signal Processing (99 citations). Subhash Kak has collaborated with scholars based in United States, India and Australia. Frequent co-authors include Abhishek Parakh, Yuhua Chen, N. Jayant, Pramode K. Verma, M. Kafatos, Anindya Chatterjee, Georg Feuerstein, Karl H. Pribram, Deepak Chopra and J.L. Aravena. Their work appears in journals such as Information Sciences, Electronics Letters, Mankind Quarterly, Proceedings of the IEEE and Scientific Reports.
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.