Keshav Kumar
- Hardware and Architecture top 10%
- Physical Unclonable Functions (PUFs) and Hardware Security 9
- Embedded Systems Design Techniques 7
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- Chaos-based Image/Signal Encryption 8
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- Cryptographic Implementations and Security 9
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- Embedded Systems and FPGA Applications 8
- Low-power high-performance VLSI design 6
- Energy Harvesting in Wireless Networks 5
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- Embedded Systems and FPGA Design 5
Keshav Kumar
39 papers receiving 262 citations
Peers
Comparison fields: 5 of 64
- Hardware and Architecture 70
- Computer Vision and Pattern Recognition 79
- Artificial Intelligence 88
- Signal Processing 24
- Information Systems 38
Countries citing papers authored by Keshav Kumar
This map shows the geographic impact of Keshav 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 Keshav Kumar with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Keshav Kumar more than expected).
Fields of papers citing papers by Keshav Kumar
This network shows the impact of papers produced by Keshav 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 Keshav Kumar. The network helps show where Keshav Kumar may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Keshav 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
| # | Work | ||
|---|---|---|---|
| 1 | 2025 | 1 | |
| 2 | 2024 | 0 | |
| 3 | 2024 | 0 | |
| 4 | 2024 | 1 | |
| 5 | 2023 | 0 | |
| 6 | 2023 | 6 | |
| 7 | 2023 | 1 | |
| 8 | 2023 | 1 | |
| 9 | 2022 | 19 | |
| 10 | 2022 | 42 | |
| 11 | 2022 | 2 | |
| 12 | IDENTIFICATION OF AYURVEDIC MEDICINAL LEAVES USING DEEP LEARNING | 2021 | 3 |
| 13 | 2019 | 4 | |
| 14 | 2019 | 2 | |
| 15 | 2019 | 4 | |
| 16 | 2019 | 11 | |
| 17 | 2019 | 2 | |
| 18 | 2019 | 3 | |
| 19 | 2018 | 14 | |
| 20 | Residue of Quinalphos from AF and EC Formulations on Cotton | 1999 | 0 |
About Keshav Kumar
Keshav Kumar is a scholar working on Hardware and Architecture, Health Informatics, Computer Vision and Pattern Recognition, Artificial Intelligence and Electrical and Electronic Engineering, having authored 46 papers that have together received 277 indexed citations. Recurring topics across this work include Cryptographic Implementations and Security (9 papers), Physical Unclonable Functions (PUFs) and Hardware Security (9 papers), Chaos-based Image/Signal Encryption (8 papers), Embedded Systems and FPGA Applications (8 papers), Embedded Systems Design Techniques (7 papers), Low-power high-performance VLSI design (6 papers), Energy Harvesting in Wireless Networks (5 papers) and Embedded Systems and FPGA Design (5 papers). The work is most often cited by research in Hardware and Architecture (70 citations), Computer Vision and Pattern Recognition (79 citations), Artificial Intelligence (88 citations), Signal Processing (24 citations) and Information Systems (38 citations). Keshav Kumar has collaborated with scholars based in India, Denmark and Malaysia. Frequent co-authors include Amanpreet Kaur, K. R. Ramkumar, Bishwajeet Pandey, Anurag Shrivastava, Hamza Mohammed Ridha Al‐Khafaji, Vikas Tripathi, Deepika Arora, Smita Sharma, Surya Narayan Panda and Poonam Jindal. Their work appears in journals such as Electronics, Vacuum, Journal of King Saud University - Computer and Information Sciences, Wireless Communications and Mobile Computing and International Journal of Information Technology.
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.