Vikas Singh
Impact in
-
- Advanced Image and Video Retrieval Techniques
- Medical Image Segmentation Techniques
- Advanced Neural Network Applications
- Computational Mathematics top 5%
Papers in ⓘ
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- Medical Image Segmentation Techniques 24
- Advanced Image and Video Retrieval Techniques 8
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- Domain Adaptation and Few-Shot Learning 10
- Co-authors
- Sterling C. Johnson (34 shared papers)Lopamudra Mukherjee (18 shared papers)Chris Hinrichs (11 shared papers)Guofan Xu (3 shared papers)Moo K. Chung (12 shared papers)Yunyang Xiong (9 shared papers)Vamsi Krishna Ithapu (12 shared papers)Jiming Peng (7 shared papers)
- Journals
- NeuroImage (5 papers)Medical Physics (2 papers)Scientific Reports (2 papers)Journal of Biomedical Optics (2 papers)Journal of Combinatorial Optimization (2 papers)
- Partner nations
- United StatesIndiaUnited Kingdom
In The Last Decade
Vikas Singh
111 papers receiving 2.5k citations
Peers
Comparison fields: 5 of 153
- Computer Vision and Pattern Recognition 995
- Computational Mathematics 22
- Neurology 267
- Psychiatry and Mental health 385
- Biophysics 114
Countries citing papers authored by Vikas Singh
This map shows the geographic impact of Vikas Singh'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 Singh with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Vikas Singh more than expected).
Fields of papers citing papers by Vikas Singh
This network shows the impact of papers produced by Vikas Singh. 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 Singh. The network helps show where Vikas Singh may publish in the future.
Co-authors
The 25 scholars most cited alongside Vikas Singh, 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 120 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2010 | 304 | |
| 2 | 2009 | 173 | |
| 3 | 2021 | 137 | |
| 4 | 2020 | 124 | |
| 5 | 2009 | 120 | |
| 6 | 2015 | 101 | |
| 7 | 2021 | 97 | |
| 8 | 2011 | 92 | |
| 9 | 2013 | 76 | |
| 10 | 2014 | 64 | |
| 11 | 2011 | 63 | |
| 12 | 2016 | 56 | |
| 13 | 2009 | 52 | |
| 14 | 2019 | 52 | |
| 15 | 2014 | 50 | |
| 16 | 2016 | 48 | |
| 17 | 2015 | 44 | |
| 18 | 2018 | 42 | |
| 19 | 2014 | 41 | |
| 20 | 2014 | 35 |
About Vikas Singh
Vikas Singh is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence, Radiology, Nuclear Medicine and Imaging, Cognitive Neuroscience and Computational Mechanics, having authored 120 papers that have together received 2.5k indexed citations. Recurring topics across this work include Medical Image Segmentation Techniques (24 papers), Advanced Neuroimaging Techniques and Applications (23 papers), Functional Brain Connectivity Studies (14 papers), Statistical Methods and Inference (13 papers), Domain Adaptation and Few-Shot Learning (10 papers), Sparse and Compressive Sensing Techniques (10 papers), Morphological variations and asymmetry (9 papers) and Advanced Image and Video Retrieval Techniques (8 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (995 citations), Computational Mathematics (22 citations), Neurology (267 citations), Psychiatry and Mental health (385 citations) and Biophysics (114 citations). Vikas Singh has collaborated with scholars based in United States, India and United Kingdom. Frequent co-authors include Sterling C. Johnson, Lopamudra Mukherjee, Chris Hinrichs, Guofan Xu, Moo K. Chung, Yunyang Xiong, Vamsi Krishna Ithapu, Jiming Peng, Hyunwoo J. Kim and Charles R. Dyer. Their work appears in journals such as NeuroImage, Medical Physics, Scientific Reports, Journal of Biomedical Optics and Journal of Combinatorial Optimization.
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.