Sudhakar Kumar
Impact in
- Signal Processing top 5%
- Advanced Malware Detection Techniques
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- IoT and Edge/Fog Computing
- Network Security and Intrusion Detection
Papers in
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- Anomaly Detection Techniques and Applications 6
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- IoT and Edge/Fog Computing 12
- Network Security and Intrusion Detection 6
- Co-authors
- Sarjana Singh (66 shared papers)Varsha Arya (42 shared papers)Brij B. Gupta (46 shared papers)Kriti Aggarwal (4 shared papers)Kwok Tai Chui (30 shared papers)Naveen Aggarwal (5 shared papers)Inderpreet Singh (2 shared papers)Wadee Alhalabi (8 shared papers)
In The Last Decade
Sudhakar Kumar
61 papers receiving 831 citations
Peers
Comparison fields: 5 of 92
- Signal Processing 133
- Computer Networks and Communications 243
- Information Systems 230
- Health Information Management 38
- Artificial Intelligence 301
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 85 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2024 | 47 | |
| 2 | 2022 | 43 | |
| 3 | 2022 | 41 | |
| 4 | 2022 | 37 | |
| 5 | 2023 | 36 | |
| 6 | 2022 | 36 | |
| 7 | 2023 | 33 | |
| 8 | 2022 | 33 | |
| 9 | 2023 | 31 | |
| 10 | 2021 | 31 | |
| 11 | 2022 | 30 | |
| 12 | 2024 | 29 | |
| 13 | 2023 | 27 | |
| 14 | 2023 | 26 | |
| 15 | 2021 | 26 | |
| 16 | 2023 | 25 | |
| 17 | 2024 | 23 | |
| 18 | 2022 | 23 | |
| 19 | 2024 | 22 | |
| 20 | 2024 | 22 |
About Sudhakar Kumar
Sudhakar Kumar is a scholar working on Artificial Intelligence, Computer Networks and Communications, Information Systems, Computer Vision and Pattern Recognition and Signal Processing, having authored 85 papers that have together received 854 indexed citations. Recurring topics across this work include IoT and Edge/Fog Computing (12 papers), Advanced Malware Detection Techniques (12 papers), Anomaly Detection Techniques and Applications (6 papers), Network Security and Intrusion Detection (6 papers), Parallel Computing and Optimization Techniques (5 papers), Blockchain Technology Applications and Security (5 papers), Spam and Phishing Detection (5 papers) and Smart Grid Security and Resilience (5 papers). The work is most often cited by research in Signal Processing (133 citations), Computer Networks and Communications (243 citations), Information Systems (230 citations), Health Information Management (38 citations) and Artificial Intelligence (301 citations). Sudhakar Kumar has collaborated with scholars based in India, Taiwan and Hong Kong. Frequent co-authors include Sarjana Singh, Varsha Arya, Brij B. Gupta, Kriti Aggarwal, Kwok Tai Chui, Naveen Aggarwal, Inderpreet Singh, Wadee Alhalabi, Francesco Colace and Francisco José García‐Peñalvo. Their work appears in journals such as Scientific Reports, Computers, materials & continua/Computers, materials & continua (Print), International Journal of Intelligent Systems, Enterprise Information Systems and Soft Computing.
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.