Vikash Kumar
Impact in
- Signal Processing top 5%
- Advanced Malware Detection Techniques
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- Network Security and Intrusion Detection
Papers in
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- Network Security and Intrusion Detection 14
- Mobile Ad Hoc Networks 3
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- Anomaly Detection Techniques and Applications 8
- Internet Traffic Analysis and Secure E-voting 4
- Co-authors
- Ditipriya Sinha (13 shared papers)Ayan Kumar Das (7 shared papers)Radha Tamal Goswami (1 shared paper)Subhash C. Pandey (1 shared paper)Balakumar Sundaralingam (1 shared paper)Kaiyu Hang (1 shared paper)Tucker Hermans (1 shared paper)Danica Kragić (1 shared paper)
- Journals
- Computers & Security (2 papers)IEEE Robotics and Automation Letters (1 paper)The International Journal of Robotics Research (1 paper)Autonomous Robots (1 paper)IEEE Access (1 paper)
- Partner nations
- IndiaUnited StatesGermany
In The Last Decade
Vikash Kumar
29 papers receiving 520 citations
Peers
Comparison fields: 5 of 58
- Signal Processing 264
- Computer Networks and Communications 415
- Artificial Intelligence 312
- Control and Systems Engineering 78
- Information Systems 73
Countries citing papers authored by Vikash Kumar
This map shows the geographic impact of Vikash 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 Vikash Kumar with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Vikash Kumar more than expected).
Fields of papers citing papers by Vikash Kumar
This network shows the impact of papers produced by Vikash 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 Vikash Kumar. The network helps show where Vikash Kumar may publish in the future.
Co-authors
The 25 scholars most cited alongside Vikash 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 | 2019 | 184 | |
| 2 | 2019 | 85 | |
| 3 | 2022 | 69 | |
| 4 | 2021 | 54 | |
| 5 | 2020 | 34 | |
| 6 | 2019 | 25 | |
| 7 | 2023 | 20 | |
| 8 | 2024 | 10 | |
| 9 | 2022 | 8 | |
| 10 | 2022 | 6 | |
| 11 | 2016 | 4 | |
| 12 | 2023 | 4 | |
| 13 | 2023 | 4 | |
| 14 | 2024 | 3 | |
| 15 | 2024 | 3 | |
| 16 | 2024 | 3 | |
| 17 | 2021 | 3 | |
| 18 | 2020 | 3 | |
| 19 | 2020 | 3 | |
| 20 | 2022 | 3 |
About Vikash Kumar
Vikash Kumar is a scholar working on Computer Networks and Communications, Artificial Intelligence, Signal Processing, Control and Systems Engineering and Computer Vision and Pattern Recognition, having authored 35 papers that have together received 544 indexed citations. Recurring topics across this work include Network Security and Intrusion Detection (14 papers), Advanced Malware Detection Techniques (11 papers), Anomaly Detection Techniques and Applications (8 papers), Internet Traffic Analysis and Secure E-voting (4 papers), Robot Manipulation and Learning (4 papers), Mobile Ad Hoc Networks (3 papers), Robotic Path Planning Algorithms (2 papers) and Real-Time Systems Scheduling (2 papers). The work is most often cited by research in Signal Processing (264 citations), Computer Networks and Communications (415 citations), Artificial Intelligence (312 citations), Control and Systems Engineering (78 citations) and Information Systems (73 citations). Vikash Kumar has collaborated with scholars based in India, United States and Germany. Frequent co-authors include Ditipriya Sinha, Ayan Kumar Das, Radha Tamal Goswami, Subhash C. Pandey, Balakumar Sundaralingam, Kaiyu Hang, Tucker Hermans, Danica Kragić, Vittorio Caggiano and Veena I Puranikmath. Their work appears in journals such as Computers & Security, IEEE Robotics and Automation Letters, The International Journal of Robotics Research, Autonomous Robots and IEEE Access.
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.