Vrince Vimal
Impact in
- Artificial Intelligence top 10%
- Metaheuristic Optimization Algorithms Research
- Anomaly Detection Techniques and Applications
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- Energy Efficient Wireless Sensor Networks
Papers in
-
- Network Security and Intrusion Detection 5
- IoT and Edge/Fog Computing 3
- Energy Efficient Wireless Sensor Networks 3
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- IoT-based Smart Home Systems 4
- Radio Frequency Integrated Circuit Design 2
- Co-authors
- M. J. Nigam (5 shared papers)Rıshı Prakash (1 shared paper)Guoxi Liang (1 shared paper)Huiling Chen (1 shared paper)Deepak Verma (2 shared papers)Kheng Lim Goh (1 shared paper)Sudeep Tanwar (3 shared papers)Abhishek Kumar (2 shared papers)
- Journals
- IEEE Transactions on Consumer Electronics (3 papers)Computational Intelligence and Neuroscience (1 paper)Service Oriented Computing and Applications (1 paper)IEEE Access (1 paper)Cognitive Computation (1 paper)
- Partner nations
- IndiaSaudi ArabiaTaiwan
In The Last Decade
Vrince Vimal
36 papers receiving 408 citations
Peers
Comparison fields: 5 of 92
- Artificial Intelligence 131
- Computer Networks and Communications 83
- Computer Vision and Pattern Recognition 71
- Media Technology 24
- Health Information Management 11
Countries citing papers authored by Vrince Vimal
This map shows the geographic impact of Vrince Vimal'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 Vrince Vimal with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Vrince Vimal more than expected).
Fields of papers citing papers by Vrince Vimal
This network shows the impact of papers produced by Vrince Vimal. 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 Vrince Vimal. The network helps show where Vrince Vimal may publish in the future.
Co-authors
The 25 scholars most cited alongside Vrince Vimal, 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 44 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2021 | 58 | |
| 2 | 2023 | 55 | |
| 3 | 2022 | 41 | |
| 4 | 2017 | 35 | |
| 5 | 2021 | 33 | |
| 6 | 2021 | 31 | |
| 7 | 2020 | 28 | |
| 8 | 2022 | 23 | |
| 9 | 2017 | 23 | |
| 10 | 2023 | 14 | |
| 11 | 2023 | 13 | |
| 12 | 2021 | 12 | |
| 13 | 2023 | 9 | |
| 14 | 2017 | 6 | |
| 15 | 2024 | 4 | |
| 16 | 2024 | 3 | |
| 17 | 2023 | 3 | |
| 18 | 2018 | 3 | |
| 19 | 2021 | 3 | |
| 20 | 2024 | 2 |
About Vrince Vimal
Vrince Vimal is a scholar working on Computer Networks and Communications, Electrical and Electronic Engineering, Artificial Intelligence, Information Systems and Computer Vision and Pattern Recognition, having authored 44 papers that have together received 421 indexed citations. Recurring topics across this work include Network Security and Intrusion Detection (5 papers), IoT-based Smart Home Systems (4 papers), IoT and Edge/Fog Computing (3 papers), Energy Efficient Wireless Sensor Networks (3 papers), Cloud Data Security Solutions (3 papers), Radio Frequency Integrated Circuit Design (2 papers), Smart Grid Security and Resilience (2 papers) and Cryptography and Data Security (2 papers). The work is most often cited by research in Artificial Intelligence (131 citations), Computer Networks and Communications (83 citations), Computer Vision and Pattern Recognition (71 citations), Media Technology (24 citations) and Health Information Management (11 citations). Vrince Vimal has collaborated with scholars based in India, Saudi Arabia and Taiwan. Frequent co-authors include M. J. Nigam, Rıshı Prakash, Guoxi Liang, Huiling Chen, Deepak Verma, Kheng Lim Goh, Sudeep Tanwar, Abhishek Kumar, Kamred Udham Singh and Innocent E. Davidson. Their work appears in journals such as IEEE Transactions on Consumer Electronics, Computational Intelligence and Neuroscience, Service Oriented Computing and Applications, IEEE Access and Cognitive Computation.
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.