Vrince Vimal
Impact in
- Artificial Intelligence top 10%
- Metaheuristic Optimization Algorithms Research
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- Energy Efficient Wireless Sensor Networks
- Network Security and Intrusion Detection
Papers in
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- 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
- Co-authors
- M. J. Nigam (5 shared papers)Guoxi Liang (1 shared paper)Huiling Chen (1 shared paper)Rıshı Prakash (1 shared paper)Sudeep Tanwar (3 shared papers)Deepak Verma (2 shared papers)Kheng Lim Goh (1 shared paper)Abhishek Kumar (2 shared papers)
- Journals
- IEEE Transactions on Consumer Electronics (3 papers)Engineering With Computers (1 paper)Clinical EEG and Neuroscience (1 paper)Cognitive Computation (1 paper)Chemosphere (1 paper)
- Partner nations
- IndiaSaudi ArabiaUnited Kingdom
In The Last Decade
Vrince Vimal
37 papers receiving 444 citations
Peers
Comparison fields: 5 of 93
- Artificial Intelligence 134
- Computer Networks and Communications 89
- Computer Vision and Pattern Recognition 73
- Health Information Management 12
- Media Technology 24
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 | 2023 | 60 | |
| 2 | 2021 | 60 | |
| 3 | 2022 | 46 | |
| 4 | 2017 | 37 | |
| 5 | 2021 | 34 | |
| 6 | 2021 | 32 | |
| 7 | 2020 | 30 | |
| 8 | 2022 | 27 | |
| 9 | 2017 | 25 | |
| 10 | 2023 | 17 | |
| 11 | 2023 | 14 | |
| 12 | 2021 | 12 | |
| 13 | 2023 | 9 | |
| 14 | 2024 | 6 | |
| 15 | 2017 | 6 | |
| 16 | 2024 | 4 | |
| 17 | 2023 | 3 | |
| 18 | 2025 | 3 | |
| 19 | 2018 | 3 | |
| 20 | 2021 | 3 |
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 456 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), Cryptography and Data Security (2 papers), Blockchain Technology Applications and Security (2 papers) and Anomaly Detection Techniques and Applications (2 papers). The work is most often cited by research in Artificial Intelligence (134 citations), Computer Networks and Communications (89 citations), Computer Vision and Pattern Recognition (73 citations), Health Information Management (12 citations) and Media Technology (24 citations). Vrince Vimal has collaborated with scholars based in India, Saudi Arabia and United Kingdom. Frequent co-authors include M. J. Nigam, Guoxi Liang, Huiling Chen, Rıshı Prakash, Sudeep Tanwar, Deepak Verma, Kheng Lim Goh, Abhishek Kumar, Kamred Udham Singh and Y. G. Patel. Their work appears in journals such as IEEE Transactions on Consumer Electronics, Engineering With Computers, Clinical EEG and Neuroscience, Cognitive Computation and Chemosphere.
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.