Rahul Deb
Impact in
- General Decision Sciences top 10%
- Pathology and Forensic Medicine top 10%
- Breast Lesions and Carcinomas
Papers in
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- Economics of Agriculture and Food Markets 6
-
- Breast Cancer Treatment Studies 9
- Co-authors
- Abeer M. Shaaban (4 shared papers)Sarah E. Pinder (5 shared papers)Mallesh M. Pai (7 shared papers)Tavneet Suri (1 shared paper)Ian O. Ellis (6 shared papers)Stéphanie Pain (1 shared paper)Archita P. Desai (1 shared paper)Ashu Gandhi (1 shared paper)
- Journals
- Journal of Clinical Pathology (5 papers)ACS Applied Electronic Materials (3 papers)Histopathology (2 papers)Econometrica (2 papers)Theoretical Economics (1 paper)
- Partner nations
- United KingdomCanadaUnited States
In The Last Decade
Rahul Deb
49 papers receiving 753 citations
Peers
Comparison fields: 5 of 98
- General Decision Sciences 30
- Pathology and Forensic Medicine 159
- Cancer Research 100
- Management Science and Operations Research 90
- Dermatology 47
Countries citing papers authored by Rahul Deb
This map shows the geographic impact of Rahul Deb'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 Rahul Deb with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Rahul Deb more than expected).
Fields of papers citing papers by Rahul Deb
This network shows the impact of papers produced by Rahul Deb. 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 Rahul Deb. The network helps show where Rahul Deb may publish in the future.
Co-authors
The 25 scholars most cited alongside Rahul Deb, 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 50 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2018 | 116 | |
| 2 | 2004 | 86 | |
| 3 | 2014 | 67 | |
| 4 | 2019 | 39 | |
| 5 | 2001 | 38 | |
| 6 | 2022 | 38 | |
| 7 | 2013 | 33 | |
| 8 | 2012 | 33 | |
| 9 | 1998 | 24 | |
| 10 | 2020 | 24 | |
| 11 | 2022 | 22 | |
| 12 | 2017 | 20 | |
| 13 | 2009 | 20 | |
| 14 | 2023 | 19 | |
| 15 | 2014 | 16 | |
| 16 | 2008 | 14 | |
| 17 | 2014 | 13 | |
| 18 | 2010 | 13 | |
| 19 | 2013 | 12 | |
| 20 | 2010 | 10 |
About Rahul Deb
Rahul Deb is a scholar working on Economics and Econometrics, Cancer Research, Oncology, Management Science and Operations Research and Pathology and Forensic Medicine, having authored 50 papers that have together received 776 indexed citations. Recurring topics across this work include Breast Cancer Treatment Studies (9 papers), Auction Theory and Applications (7 papers), Advanced Memory and Neural Computing (6 papers), Breast Lesions and Carcinomas (6 papers), Economics of Agriculture and Food Markets (6 papers), Experimental Behavioral Economics Studies (5 papers), Decision-Making and Behavioral Economics (5 papers) and Consumer Market Behavior and Pricing (5 papers). The work is most often cited by research in General Decision Sciences (30 citations), Pathology and Forensic Medicine (159 citations), Cancer Research (100 citations), Management Science and Operations Research (90 citations) and Dermatology (47 citations). Rahul Deb has collaborated with scholars based in United Kingdom, Canada and United States. Frequent co-authors include Abeer M. Shaaban, Sarah E. Pinder, Mallesh M. Pai, Tavneet Suri, Ian O. Ellis, Stéphanie Pain, Archita P. Desai, Ashu Gandhi, A.H.S. Lee and Nisha Sharma. Their work appears in journals such as Journal of Clinical Pathology, ACS Applied Electronic Materials, Histopathology, Econometrica and Theoretical Economics.
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.