Rahul Deb
Impact in
- General Decision Sciences top 10%
- Cancer Research top 10%
- Breast Cancer Treatment Studies
Papers in ⓘ
-
- Decision-Making and Behavioral Economics 5
-
- Breast Cancer Treatment Studies 11
- Co-authors
- Abeer M. Shaaban (4 shared papers)Sarah E. Pinder (4 shared papers)Mallesh M. Pai (7 shared papers)Ian O. Ellis (6 shared papers)Tavneet Suri (1 shared paper)A.H.S. Lee (1 shared paper)Stéphanie Pain (1 shared paper)Nisha Sharma (1 shared paper)
- Journals
- Journal of Clinical Pathology (4 papers)ACS Applied Electronic Materials (3 papers)Histopathology (2 papers)Econometrica (2 papers)International Journal of Surgery (1 paper)
- Partner nations
- United KingdomCanadaUnited States
In The Last Decade
Rahul Deb
48 papers receiving 695 citations
Peers
Comparison fields: 5 of 100
- General Decision Sciences 30
- Cancer Research 161
- Pathology and Forensic Medicine 175
- Dermatology 70
- Management Science and Operations Research 84
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 49 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2018 | 111 | |
| 2 | 2004 | 79 | |
| 3 | 2014 | 64 | |
| 4 | 2019 | 37 | |
| 5 | 2022 | 34 | |
| 6 | 2001 | 33 | |
| 7 | 2013 | 31 | |
| 8 | 2012 | 28 | |
| 9 | 2020 | 24 | |
| 10 | 2022 | 20 | |
| 11 | 2009 | 19 | |
| 12 | 2017 | 19 | |
| 13 | 1998 | 17 | |
| 14 | 2023 | 17 | |
| 15 | 2014 | 16 | |
| 16 | 2010 | 13 | |
| 17 | 2014 | 13 | |
| 18 | 2008 | 12 | |
| 19 | 2013 | 12 | |
| 20 | 2010 | 10 |
About Rahul Deb
Rahul Deb is a scholar working on General Decision Sciences, Cancer Research, Management Science and Operations Research, Safety Research and Marketing, having authored 49 papers that have together received 713 indexed citations. Recurring topics across this work include Breast Cancer Treatment Studies (11 papers), Auction Theory and Applications (7 papers), Breast Lesions and Carcinomas (7 papers), Economics of Agriculture and Food Markets (6 papers), Advanced Memory and Neural Computing (6 papers), Consumer Market Behavior and Pricing (5 papers), Decision-Making and Behavioral Economics (5 papers) and Experimental Behavioral Economics Studies (5 papers). The work is most often cited by research in General Decision Sciences (30 citations), Cancer Research (161 citations), Pathology and Forensic Medicine (175 citations), Dermatology (70 citations) and Management Science and Operations Research (84 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, Ian O. Ellis, Tavneet Suri, A.H.S. Lee, Stéphanie Pain, Nisha Sharma, John Quah and Archita P. Desai. Their work appears in journals such as Journal of Clinical Pathology, ACS Applied Electronic Materials, Histopathology, Econometrica and International Journal of Surgery.
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.