Surajit Ray
Impact in
- Statistics and Probability top 2%
- Statistical Methods and Inference
- Statistical Methods and Bayesian Inference
- Advanced Statistical Methods and Models
- Health Informatics top 10%
Papers in
-
- Bayesian Methods and Mixture Models 9
- AI in cancer detection 3
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- Advanced Statistical Methods and Models 6
- Statistical Methods and Inference 6
- Statistical Methods and Bayesian Inference 6
- Co-authors
- Bruce G. Lindsay (5 shared papers)Jeffrey J. Harden (2 shared papers)Kenneth A. Bollen (2 shared papers)Jane R. Zavisca (2 shared papers)Vladimir Brusić (2 shared papers)Honghuang Lin (1 shared paper)Ellis L. Reinherz (1 shared paper)Songsak Tongchusak (1 shared paper)
- Journals
- PLoS ONE (2 papers)Circulation (1 paper)International Immunopharmacology (1 paper)Journal of Machine Learning Research (1 paper)Sociological Methods & Research (1 paper)
- Partner nations
- United StatesUnited KingdomNetherlands
In The Last Decade
Surajit Ray
42 papers receiving 1.2k citations
Peers
Comparison fields: 5 of 159
- Statistics and Probability 229
- Health Informatics 15
- Radiology, Nuclear Medicine and Imaging 181
- Artificial Intelligence 290
- Biophysics 43
Countries citing papers authored by Surajit Ray
This map shows the geographic impact of Surajit Ray'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 Surajit Ray with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Surajit Ray more than expected).
Fields of papers citing papers by Surajit Ray
This network shows the impact of papers produced by Surajit Ray. 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 Surajit Ray. The network helps show where Surajit Ray may publish in the future.
Co-authors
The 25 scholars most cited alongside Surajit Ray, 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 44 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2008 | 196 | |
| 2 | 2014 | 152 | |
| 3 | 2007 | 132 | |
| 4 | 2020 | 128 | |
| 5 | 2005 | 106 | |
| 6 | 2011 | 52 | |
| 7 | STRATEGIC SEGMENTATION OF A MARKET | 2000 | 48 |
| 8 | 1990 | 42 | |
| 9 | Quadratic distances on probabilities: A unified foundation | 2007 | 35 |
| 10 | 2007 | 34 | |
| 11 | 2016 | 34 | |
| 12 | 2023 | 25 | |
| 13 | 2012 | 18 | |
| 14 | 2013 | 18 | |
| 15 | 2007 | 16 | |
| 16 | 2011 | 16 | |
| 17 | 2009 | 16 | |
| 18 | 2000 | 15 | |
| 19 | 2012 | 13 | |
| 20 | DISTANCE-BASED MODEL-SELECTION WITH APPLICATION TO THE ANALYSIS OF GENE EXPRESSION DATA | 2003 | 10 |
About Surajit Ray
Surajit Ray is a scholar working on Artificial Intelligence, Statistics and Probability, Molecular Biology, Economics and Econometrics and Infectious Diseases, having authored 44 papers that have together received 1.2k indexed citations. Recurring topics across this work include Bayesian Methods and Mixture Models (9 papers), Advanced Statistical Methods and Models (6 papers), Statistical Methods and Inference (6 papers), Statistical Methods and Bayesian Inference (6 papers), Gene expression and cancer classification (4 papers), Monetary Policy and Economic Impact (4 papers), COVID-19 Clinical Research Studies (3 papers) and AI in cancer detection (3 papers). The work is most often cited by research in Statistics and Probability (229 citations), Health Informatics (15 citations), Radiology, Nuclear Medicine and Imaging (181 citations), Artificial Intelligence (290 citations) and Biophysics (43 citations). Surajit Ray has collaborated with scholars based in United States, United Kingdom and Netherlands. Frequent co-authors include Bruce G. Lindsay, Jeffrey J. Harden, Kenneth A. Bollen, Jane R. Zavisca, Vladimir Brusić, Honghuang Lin, Ellis L. Reinherz, Songsak Tongchusak, J. Behari and N. E. Savin. Their work appears in journals such as PLoS ONE, Circulation, International Immunopharmacology, Journal of Machine Learning Research and Sociological Methods & Research.
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.