Neerendra Kumar
Impact in
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- Robotic Path Planning Algorithms
- Chaos-based Image/Signal Encryption
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- IoT and Edge/Fog Computing
- Network Security and Intrusion Detection
Papers in
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- Robotic Path Planning Algorithms 11
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- Network Security and Intrusion Detection 8
- IoT and Edge/Fog Computing 5
- Co-authors
- Zoltán Vámossy (9 shared papers)Chaman Verma (9 shared papers)Maria Simona Raboacă (4 shared papers)Zoltán Illés (4 shared papers)Márta Takács (1 shared paper)Veronika Stoffová (2 shared papers)Arpit Jain (1 shared paper)George Suciu (1 shared paper)
In The Last Decade
Neerendra Kumar
31 papers receiving 190 citations
Peers
Comparison fields: 5 of 37
- Computer Vision and Pattern Recognition 84
- Computer Networks and Communications 83
- Signal Processing 34
- Control and Systems Engineering 46
- Information Systems 30
Countries citing papers authored by Neerendra Kumar
This map shows the geographic impact of Neerendra 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 Neerendra Kumar with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Neerendra Kumar more than expected).
Fields of papers citing papers by Neerendra Kumar
This network shows the impact of papers produced by Neerendra 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 Neerendra Kumar. The network helps show where Neerendra Kumar may publish in the future.
Co-authors
The 19 scholars most cited alongside Neerendra 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 35 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2022 | 24 | |
| 2 | 2022 | 22 | |
| 3 | 2022 | 21 | |
| 4 | 2017 | 16 | |
| 5 | 2024 | 11 | |
| 6 | 2016 | 11 | |
| 7 | 2024 | 10 | |
| 8 | 2023 | 9 | |
| 9 | 2019 | 6 | |
| 10 | 2022 | 6 | |
| 11 | 2018 | 6 | |
| 12 | 2016 | 6 | |
| 13 | 2016 | 6 | |
| 14 | 2025 | 5 | |
| 15 | 2018 | 4 | |
| 16 | 2021 | 4 | |
| 17 | 2018 | 4 | |
| 18 | 2025 | 3 | |
| 19 | 2023 | 3 | |
| 20 | 2022 | 2 |
About Neerendra Kumar
Neerendra Kumar is a scholar working on Computer Vision and Pattern Recognition, Computer Networks and Communications, Control and Systems Engineering, Artificial Intelligence and Signal Processing, having authored 35 papers that have together received 194 indexed citations. Recurring topics across this work include Robotic Path Planning Algorithms (11 papers), Network Security and Intrusion Detection (8 papers), Advanced Malware Detection Techniques (8 papers), Robotics and Sensor-Based Localization (6 papers), Anomaly Detection Techniques and Applications (5 papers), Robotics and Automated Systems (5 papers), Control and Dynamics of Mobile Robots (5 papers) and IoT and Edge/Fog Computing (5 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (84 citations), Computer Networks and Communications (83 citations), Signal Processing (34 citations), Control and Systems Engineering (46 citations) and Information Systems (30 citations). Neerendra Kumar has collaborated with scholars based in India, Hungary and Romania. Frequent co-authors include Zoltán Vámossy, Chaman Verma, Maria Simona Raboacă, Zoltán Illés, Márta Takács, Veronika Stoffová, Arpit Jain, George Suciu, Parul Parihar and Yashwant Singh. Their work appears in journals such as Karbala International Journal of Modern Science, Alexandria Engineering Journal, IEEE Access, Journal of King Saud University - Computer and Information Sciences and International Journal of Information Security.
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.