Vikas Tripathi
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- Video Surveillance and Tracking Methods 12
- Human Pose and Action Recognition 8
- Artificial Intelligence top 10%
- Anomaly Detection Techniques and Applications 11
- Human-Computer Interaction top 10%
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- IoT and Edge/Fog Computing 18
- Network Security and Intrusion Detection 9
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- Internet of Things and AI 13
- Blockchain Technology Applications and Security 10
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- COVID-19 diagnosis using AI 8
- Co-authors
- Durgaprasad GangodkarPrabhdeep SinghAnkush MittalBhaskar PantPrabhishek SinghManoj DiwakarAshish ThapliyalDevvret Verma
- Journals
- Computational Intelligence and Neuroscience (4 papers)Ecological Informatics (2 papers)Energy Reports (2 papers)
- Partner nations
- IndiaSaudi ArabiaSingapore
In The Last Decade
Vikas Tripathi
113 papers receiving 782 citations
Peers
Comparison fields: 5 of 137
- Computer Vision and Pattern Recognition 198
- Artificial Intelligence 189
- Human-Computer Interaction 29
- Health Informatics 7
- Computer Networks and Communications 114
Countries citing papers authored by Vikas Tripathi
This map shows the geographic impact of Vikas Tripathi'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 Vikas Tripathi with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Vikas Tripathi more than expected).
Fields of papers citing papers by Vikas Tripathi
This network shows the impact of papers produced by Vikas Tripathi. 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 Vikas Tripathi. The network helps show where Vikas Tripathi may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Vikas Tripathi, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2025 | 0 | |
| 2 | 2025 | 0 | |
| 3 | 2024 | 3 | |
| 4 | 2024 | 5 | |
| 5 | 2024 | 1 | |
| 6 | 2024 | 4 | |
| 7 | 2023 | 22 | |
| 8 | 2022 | 6 | |
| 9 | 2022 | 11 | |
| 10 | 2022 | 3 | |
| 11 | 2021 | 2 | |
| 12 | 2021 | 1 | |
| 13 | 2021 | 2 | |
| 14 | 2021 | 1 | |
| 15 | 2021 | 1 | |
| 16 | 2021 | 1 | |
| 17 | 2021 | 8 | |
| 18 | 2021 | 2 | |
| 19 | 2018 | 1 | |
| 20 | 2018 | 4 |
About Vikas Tripathi
Vikas Tripathi is a scholar working on Computer Vision and Pattern Recognition, Information Systems, Computer Networks and Communications, Health Informatics and Health Information Management, having authored 141 papers that have together received 826 indexed citations. Recurring topics across this work include IoT and Edge/Fog Computing (18 papers), Internet of Things and AI (13 papers), Video Surveillance and Tracking Methods (12 papers), Anomaly Detection Techniques and Applications (11 papers), Blockchain Technology Applications and Security (10 papers), Network Security and Intrusion Detection (9 papers), COVID-19 diagnosis using AI (8 papers) and Human Pose and Action Recognition (8 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (198 citations), Artificial Intelligence (189 citations), Human-Computer Interaction (29 citations), Health Informatics (7 citations) and Computer Networks and Communications (114 citations). Vikas Tripathi has collaborated with scholars based in India, Saudi Arabia and Singapore. Frequent co-authors include Durgaprasad Gangodkar, Prabhdeep Singh, Ankush Mittal, Bhaskar Pant, Prabhishek Singh, Manoj Diwakar, Ashish Thapliyal, Devvret Verma, Kumud Pant and Rajneesh Sharma. Their work appears in journals such as Computational Intelligence and Neuroscience, Ecological Informatics, Energy Reports, Alexandria Engineering Journal and IEEE Transactions on Consumer Electronics.
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.