Nikhil Mohan
Impact in
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- Advanced Neural Network Applications
- Video Surveillance and Tracking Methods
- Advanced Vision and Imaging
- Advanced Image and Video Retrieval Techniques
- Human Pose and Action Recognition
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- Autonomous Vehicle Technology and Safety
Papers in
- Surgery 3
- Head and Neck Anomalies 1
- Co-authors
- Vijay Badrinarayanan (1 shared paper)Anthony Hu (1 shared paper)Roberto Cipolla (1 shared paper)Jeffrey Hawke (1 shared paper)Zak Murez (1 shared paper)Alex Kendall (1 shared paper)Juhan Lee (1 shared paper)R. Saravanathamizhan (1 shared paper)
- Journals
- Nicotine & Tobacco Research (1 paper)Journal of Materials Science Materials in Electronics (1 paper)Clinical Nuclear Medicine (2 papers)Materials Today Proceedings (1 paper)Journal of Pain & Palliative Care Pharmacotherapy (1 paper)
- Partner nations
- IndiaUnited StatesNetherlands
In The Last Decade
Nikhil Mohan
8 papers receiving 186 citations
Peers
Comparison fields: 5 of 65
- Computer Vision and Pattern Recognition 115
- Automotive Engineering 43
- Aerospace Engineering 46
- Computer Graphics and Computer-Aided Design 5
- Building and Construction 16
Countries citing papers authored by Nikhil Mohan
This map shows the geographic impact of Nikhil Mohan'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 Nikhil Mohan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Nikhil Mohan more than expected).
Fields of papers citing papers by Nikhil Mohan
This network shows the impact of papers produced by Nikhil Mohan. 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 Nikhil Mohan. The network helps show where Nikhil Mohan may publish in the future.
Co-authors
The 23 scholars most cited alongside Nikhil Mohan, 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 | 2021 | 147 | |
| 2 | 2022 | 20 | |
| 3 | 2024 | 10 | |
| 4 | 2022 | 6 | |
| 5 | 2020 | 4 | |
| 6 | 2023 | 4 | |
| 7 | 2020 | 2 | |
| 8 | 2020 | 1 | |
| 9 | 2024 | 0 | |
| 10 | 2024 | 0 | |
| 11 | 2020 | 0 |
About Nikhil Mohan
Nikhil Mohan is a scholar working on Surgery, Automotive Engineering, Computer Vision and Pattern Recognition, Plant Science and Biomedical Engineering, having authored 11 papers that have together received 194 indexed citations. Recurring topics across this work include Head and Neck Anomalies (1 paper), Smoking Behavior and Cessation (1 paper), Video Surveillance and Tracking Methods (1 paper), Hand Gesture Recognition Systems (1 paper), Advanced Battery Materials and Technologies (1 paper), Membrane Separation Technologies (1 paper), Medical Imaging Techniques and Applications (1 paper) and Misinformation and Its Impacts (1 paper). The work is most often cited by research in Computer Vision and Pattern Recognition (115 citations), Automotive Engineering (43 citations), Aerospace Engineering (46 citations), Computer Graphics and Computer-Aided Design (5 citations) and Building and Construction (16 citations). Nikhil Mohan has collaborated with scholars based in India, United States and Netherlands. Frequent co-authors include Vijay Badrinarayanan, Anthony Hu, Roberto Cipolla, Jeffrey Hawke, Zak Murez, Alex Kendall, Juhan Lee, R. Saravanathamizhan, Dhiraj Murthy and Grace Kong. Their work appears in journals such as Nicotine & Tobacco Research, Journal of Materials Science Materials in Electronics, Clinical Nuclear Medicine, Materials Today Proceedings and Journal of Pain & Palliative Care Pharmacotherapy.
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.