Ajay Kumar
Impact in
- Artificial Intelligence top 5%
- Quantum Computing Algorithms and Architecture
- Quantum Information and Cryptography
- Cryptographic Implementations and Security
- Software top 10%
Papers in
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- Quantum Computing Algorithms and Architecture 9
- Quantum Information and Cryptography 7
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- semigroups and automata theory 10
- Quantum-Dot Cellular Automata 4
- Co-authors
- Sunita Garhwal (16 shared papers)Manu Bansal (3 shared papers)Amandeep Singh Bhatia (7 shared papers)Shivani Goel (3 shared papers)Megha Bhushan (3 shared papers)Ram Jiwari (1 shared paper)Lakhveer Kaur (1 shared paper)Mehmet Emir Köksal (1 shared paper)
In The Last Decade
Ajay Kumar
57 papers receiving 737 citations
Peers
Comparison fields: 5 of 114
- Artificial Intelligence 353
- Software 30
- Computational Theory and Mathematics 90
- Modeling and Simulation 25
- Signal Processing 55
Countries citing papers authored by Ajay Kumar
This map shows the geographic impact of Ajay Kumar'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 Ajay Kumar with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ajay Kumar more than expected).
Fields of papers citing papers by Ajay Kumar
This network shows the impact of papers produced by Ajay Kumar. 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 Ajay Kumar. The network helps show where Ajay Kumar may publish in the future.
Co-authors
The 25 scholars most cited alongside Ajay Kumar, 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 63 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2020 | 196 | |
| 2 | 2021 | 92 | |
| 3 | 2017 | 66 | |
| 4 | 2021 | 45 | |
| 5 | 2017 | 34 | |
| 6 | 2018 | 32 | |
| 7 | 2017 | 30 | |
| 8 | 2019 | 27 | |
| 9 | 2017 | 17 | |
| 10 | 2020 | 16 | |
| 11 | 2021 | 15 | |
| 12 | Automatic Software Structural Testing by Using Evolutionary Algorithms for Test Data Generations | 2009 | 15 |
| 13 | 2017 | 14 | |
| 14 | 2016 | 12 | |
| 15 | 2023 | 10 | |
| 16 | 2023 | 8 | |
| 17 | 2019 | 8 | |
| 18 | 2013 | 8 | |
| 19 | 2013 | 7 | |
| 20 | 2018 | 6 |
About Ajay Kumar
Ajay Kumar is a scholar working on Artificial Intelligence, Computational Theory and Mathematics, Computer Vision and Pattern Recognition, Molecular Biology and Information Systems, having authored 63 papers that have together received 762 indexed citations. Recurring topics across this work include semigroups and automata theory (10 papers), Quantum Computing Algorithms and Architecture (9 papers), Quantum Information and Cryptography (7 papers), Software Testing and Debugging Techniques (7 papers), Chaos-based Image/Signal Encryption (7 papers), DNA and Biological Computing (7 papers), Gaze Tracking and Assistive Technology (5 papers) and Quantum-Dot Cellular Automata (4 papers). The work is most often cited by research in Artificial Intelligence (353 citations), Software (30 citations), Computational Theory and Mathematics (90 citations), Modeling and Simulation (25 citations) and Signal Processing (55 citations). Ajay Kumar has collaborated with scholars based in India, Canada and Iran. Frequent co-authors include Sunita Garhwal, Manu Bansal, Amandeep Singh Bhatia, Shivani Goel, Megha Bhushan, Ram Jiwari, Lakhveer Kaur, Mehmet Emir Köksal, Vikas Kumar and Mandeep Kaur Saggi. Their work appears in journals such as Archives of Computational Methods in Engineering, Current Science, The Computer Journal, Quantum Information Processing and Chaos Solitons & Fractals.
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.