Vikas Deep
Impact in
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- Artificial Intelligence in Healthcare
- Artificial Intelligence top 10%
- AI in cancer detection
Papers in
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- Anomaly Detection Techniques and Applications 2
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- Software Engineering Research 3
- Co-authors
- Purushottam Sharma (14 shared papers)Manoj Kumar (3 shared papers)Mohammed Alshehri (2 shared papers)Rayed AlGhamdi (1 shared paper)Vinod Kumar Shukla (2 shared papers)S. K. Gupta (1 shared paper)Osama Alfarraj (1 shared paper)Deepti Mehrotra (3 shared papers)
- Journals
- Mobile Networks and Applications (1 paper)Plant Foods for Human Nutrition (1 paper)Concurrency and Computation Practice and Experience (1 paper)Recent Advances in Computer Science and Communications (1 paper)International Journal of Engineering and Advanced Technology (1 paper)
- Partner nations
- IndiaUnited Arab EmiratesSaudi Arabia
In The Last Decade
Vikas Deep
32 papers receiving 346 citations
Peers
Comparison fields: 5 of 98
- Health Information Management 42
- Artificial Intelligence 106
- Oncology 80
- Medical Laboratory Technology 4
- Computer Vision and Pattern Recognition 57
Countries citing papers authored by Vikas Deep
This map shows the geographic impact of Vikas Deep'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 Deep with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Vikas Deep more than expected).
Fields of papers citing papers by Vikas Deep
This network shows the impact of papers produced by Vikas Deep. 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 Deep. The network helps show where Vikas Deep may publish in the future.
Co-authors
The 18 scholars most cited alongside Vikas Deep, 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 | 2020 | 110 | |
| 2 | 2016 | 45 | |
| 3 | 2018 | 40 | |
| 4 | 2020 | 29 | |
| 5 | 2020 | 20 | |
| 6 | 2003 | 19 | |
| 7 | 2016 | 18 | |
| 8 | 2018 | 12 | |
| 9 | 2021 | 11 | |
| 10 | 2019 | 9 | |
| 11 | 2016 | 6 | |
| 12 | 2016 | 6 | |
| 13 | 2018 | 5 | |
| 14 | 2021 | 5 | |
| 15 | Expert Systems In Agriculture: An Overview | 2014 | 5 |
| 16 | 2016 | 5 | |
| 17 | 2019 | 5 | |
| 18 | 2018 | 4 | |
| 19 | 2014 | 3 | |
| 20 | Expert system for the management of insect-pests in pulse crops | 2015 | 2 |
About Vikas Deep
Vikas Deep is a scholar working on Artificial Intelligence, Information Systems, Electrical and Electronic Engineering, Computer Networks and Communications and Computer Vision and Pattern Recognition, having authored 35 papers that have together received 373 indexed citations. Recurring topics across this work include IoT and Edge/Fog Computing (3 papers), IoT and GPS-based Vehicle Safety Systems (3 papers), IoT-based Smart Home Systems (3 papers), Software Engineering Research (3 papers), Network Security and Intrusion Detection (3 papers), Vehicle License Plate Recognition (2 papers), Face and Expression Recognition (2 papers) and Anomaly Detection Techniques and Applications (2 papers). The work is most often cited by research in Health Information Management (42 citations), Artificial Intelligence (106 citations), Oncology (80 citations), Medical Laboratory Technology (4 citations) and Computer Vision and Pattern Recognition (57 citations). Vikas Deep has collaborated with scholars based in India, United Arab Emirates and Saudi Arabia. Frequent co-authors include Purushottam Sharma, Manoj Kumar, Mohammed Alshehri, Rayed AlGhamdi, Vinod Kumar Shukla, S. K. Gupta, Osama Alfarraj, Deepti Mehrotra, Naveen Garg and Rahul Garg. Their work appears in journals such as Mobile Networks and Applications, Plant Foods for Human Nutrition, Concurrency and Computation Practice and Experience, Recent Advances in Computer Science and Communications and International Journal of Engineering and Advanced Technology.
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.