Sunil Mathur
Impact in
- Health Informatics top 10%
Papers in
-
- Advanced Statistical Methods and Models 6
- Statistical Distribution Estimation and Applications 4
- Statistical Methods and Inference 4
-
- Remote-Sensing Image Classification 4
- Co-authors
- Joseph A. Sutton (1 shared paper)Clare Hoskins (1 shared paper)Roger C. L. Feneley (4 shared papers)D.J. Stickler (3 shared papers)Marc T. E. Suller (2 shared papers)Anthony G. Timoney (2 shared papers)Katie J. Suda (2 shared papers)Mumtaz V. Rojiani (1 shared paper)
- Journals
- British Journal of Urology (4 papers)Biomedical Reports (2 papers)Statistical Methods in Medical Research (2 papers)Journal of Neuropathology & Experimental Neurology (1 paper)Handbook of statistics (1 paper)
- Partner nations
- United StatesIndiaUnited Kingdom
In The Last Decade
Sunil Mathur
46 papers receiving 912 citations
Peers
Comparison fields: 5 of 151
- Health Informatics 15
- Research and Theory 8
- Urology 44
- Molecular Medicine 28
- Pharmacology 45
Countries citing papers authored by Sunil Mathur
This map shows the geographic impact of Sunil Mathur'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 Sunil Mathur with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Sunil Mathur more than expected).
Fields of papers citing papers by Sunil Mathur
This network shows the impact of papers produced by Sunil Mathur. 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 Sunil Mathur. The network helps show where Sunil Mathur may publish in the future.
Co-authors
The 25 scholars most cited alongside Sunil Mathur, 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 56 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2017 | 270 | |
| 2 | 2017 | 205 | |
| 3 | 2016 | 42 | |
| 4 | 2015 | 41 | |
| 5 | 2014 | 39 | |
| 6 | 2005 | 38 | |
| 7 | 2019 | 34 | |
| 8 | 2006 | 28 | |
| 9 | 2006 | 27 | |
| 10 | 2018 | 27 | |
| 11 | 2013 | 25 | |
| 12 | 2016 | 22 | |
| 13 | 2007 | 18 | |
| 14 | 2023 | 15 | |
| 15 | 2011 | 12 | |
| 16 | 2008 | 10 | |
| 17 | 2020 | 7 | |
| 18 | 2017 | 7 | |
| 19 | 2022 | 6 | |
| 20 | 2016 | 5 |
About Sunil Mathur
Sunil Mathur is a scholar working on Statistics and Probability, Media Technology, Toxicology, Oncology and Nephrology, having authored 56 papers that have together received 948 indexed citations. Recurring topics across this work include Advanced Statistical Methods and Models (6 papers), Urinary Tract Infections Management (5 papers), Gene expression and cancer classification (5 papers), Remote-Sensing Image Classification (4 papers), Statistical Distribution Estimation and Applications (4 papers), Statistical Methods and Inference (4 papers), Bioinformatics and Genomic Networks (4 papers) and Image Retrieval and Classification Techniques (3 papers). The work is most often cited by research in Health Informatics (15 citations), Research and Theory (8 citations), Urology (44 citations), Molecular Medicine (28 citations) and Pharmacology (45 citations). Sunil Mathur has collaborated with scholars based in United States, India and United Kingdom. Frequent co-authors include Joseph A. Sutton, Clare Hoskins, Roger C. L. Feneley, D.J. Stickler, Marc T. E. Suller, Anthony G. Timoney, Katie J. Suda, Mumtaz V. Rojiani, Amyn M. Rojiani and Ammar Kutiyanawalla. Their work appears in journals such as British Journal of Urology, Biomedical Reports, Statistical Methods in Medical Research, Journal of Neuropathology & Experimental Neurology and Handbook of statistics.
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.