Sudhakar Kumar
Impact in
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- Advanced Malware Detection Techniques
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- Network Security and Intrusion Detection
- IoT and Edge/Fog Computing
Papers in
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- IoT and Edge/Fog Computing 6
- Network Security and Intrusion Detection 5
- Distributed and Parallel Computing Systems 3
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- Anomaly Detection Techniques and Applications 4
- Co-authors
- Sunil K. Singh (29 shared papers)Varsha Arya (29 shared papers)Brij B. Gupta (31 shared papers)Kwok Tai Chui (20 shared papers)Naveen Aggarwal (3 shared papers)Wadee Alhalabi (8 shared papers)Francisco José García‐Peñalvo (2 shared papers)Kriti Aggarwal (1 shared paper)
In The Last Decade
Sudhakar Kumar
30 papers receiving 243 citations
Peers
Comparison fields: 5 of 74
- Signal Processing 43
- Computer Networks and Communications 78
- Health Informatics 3
- Artificial Intelligence 66
- Health Information Management 9
Countries citing papers authored by Sudhakar Kumar
This map shows the geographic impact of Sudhakar 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 Sudhakar Kumar with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Sudhakar Kumar more than expected).
Fields of papers citing papers by Sudhakar Kumar
This network shows the impact of papers produced by Sudhakar 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 Sudhakar Kumar. The network helps show where Sudhakar Kumar may publish in the future.
Co-authors
The 25 scholars most cited alongside Sudhakar 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 43 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2024 | 27 | |
| 2 | 2024 | 24 | |
| 3 | 2022 | 22 | |
| 4 | 2023 | 19 | |
| 5 | 2022 | 19 | |
| 6 | 2022 | 18 | |
| 7 | 2022 | 17 | |
| 8 | 2021 | 14 | |
| 9 | 2023 | 10 | |
| 10 | 2023 | 10 | |
| 11 | 2024 | 10 | |
| 12 | 2012 | 8 | |
| 13 | 2023 | 8 | |
| 14 | 2024 | 6 | |
| 15 | 2024 | 6 | |
| 16 | 2024 | 5 | |
| 17 | 2024 | 4 | |
| 18 | 2024 | 4 | |
| 19 | 2025 | 3 | |
| 20 | 2025 | 3 |
About Sudhakar Kumar
Sudhakar Kumar is a scholar working on Computer Networks and Communications, Artificial Intelligence, Signal Processing, Information Systems and Computer Vision and Pattern Recognition, having authored 43 papers that have together received 256 indexed citations. Recurring topics across this work include Advanced Malware Detection Techniques (7 papers), IoT and Edge/Fog Computing (6 papers), Network Security and Intrusion Detection (5 papers), Smart Grid Security and Resilience (4 papers), Anomaly Detection Techniques and Applications (4 papers), COVID-19 diagnosis using AI (3 papers), Smart Agriculture and AI (3 papers) and Distributed and Parallel Computing Systems (3 papers). The work is most often cited by research in Signal Processing (43 citations), Computer Networks and Communications (78 citations), Health Informatics (3 citations), Artificial Intelligence (66 citations) and Health Information Management (9 citations). Sudhakar Kumar has collaborated with scholars based in India, Taiwan and Hong Kong. Frequent co-authors include Sunil K. Singh, Varsha Arya, Brij B. Gupta, Kwok Tai Chui, Naveen Aggarwal, Wadee Alhalabi, Francisco José García‐Peñalvo, Kriti Aggarwal, Inderpreet Singh and Samit Bhattacharya. Their work appears in journals such as Scientific Reports, Computers, materials & continua/Computers, materials & continua (Print), Enterprise Information Systems, Soft Computing and Journal of High Speed Networks.
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.