Ritankar Das
Impact in
- Health Informatics top 0.2%
- Artificial Intelligence in Healthcare and Education
- Family Practice top 1%
- Clinical Reasoning and Diagnostic Skills
Papers in
- Epidemiology 18
- Sepsis Diagnosis and Treatment 16
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- Machine Learning in Healthcare 4
- Co-authors
- Jacob Calvert (38 shared papers)Jana Hoffman (38 shared papers)Uli K. Chettipally (11 shared papers)Mitchell D. Feldman (4 shared papers)David Shimabukuro (5 shared papers)Melissa Jay (8 shared papers)Qingqing Mao (32 shared papers)Andrea J. McCoy (8 shared papers)
- Journals
- Computers in Biology and Medicine (4 papers)BMJ Open (2 papers)American Journal of Infection Control (2 papers)Critical Care Medicine (2 papers)JMIR Public Health and Surveillance (2 papers)
- Partner nations
- United StatesUnited KingdomBelgium
In The Last Decade
Ritankar Das
61 papers receiving 2.6k citations
Ritankar Das's Hit Papers
Peers
Comparison fields: 5 of 141
- Health Informatics 267
- Family Practice 148
- Health Information Management 241
- Epidemiology 1.1k
- Artificial Intelligence 793
Countries citing papers authored by Ritankar Das
This map shows the geographic impact of Ritankar Das'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 Ritankar Das with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ritankar Das more than expected).
Fields of papers citing papers by Ritankar Das
This network shows the impact of papers produced by Ritankar Das. 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 Ritankar Das. The network helps show where Ritankar Das may publish in the future.
Co-authors
The 25 scholars most cited alongside Ritankar Das, 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 63 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Prediction of Sepsis in the Intensive Care Unit With Minimal Electronic Health Record Data: A Machine Learning Approach Hit paper breakdown → | 2016 | 349 |
| 2 | 2017 | 245 | |
| 3 | 2018 | 235 | |
| 4 | 2016 | 188 | |
| 5 | 2019 | 121 | |
| 6 | 2017 | 115 | |
| 7 | 2018 | 105 | |
| 8 | 2020 | 97 | |
| 9 | 2017 | 84 | |
| 10 | 2019 | 83 | |
| 11 | 2020 | 61 | |
| 12 | 2017 | 54 | |
| 13 | 2022 | 52 | |
| 14 | 2020 | 52 | |
| 15 | 2016 | 51 | |
| 16 | 2020 | 49 | |
| 17 | 2024 | 48 | |
| 18 | 2021 | 44 | |
| 19 | 2021 | 42 | |
| 20 | 2016 | 42 |
About Ritankar Das
Ritankar Das is a scholar working on Epidemiology, Artificial Intelligence, Materials Chemistry, Molecular Biology and Cardiology and Cardiovascular Medicine, having authored 63 papers that have together received 2.7k indexed citations. Recurring topics across this work include Sepsis Diagnosis and Treatment (16 papers), Machine Learning in Materials Science (5 papers), Machine Learning in Healthcare (4 papers), Autism Spectrum Disorder Research (4 papers), Venous Thromboembolism Diagnosis and Management (3 papers), Protein Structure and Dynamics (3 papers), Computational Drug Discovery Methods (3 papers) and COVID-19 diagnosis using AI (3 papers). The work is most often cited by research in Health Informatics (267 citations), Family Practice (148 citations), Health Information Management (241 citations), Epidemiology (1.1k citations) and Artificial Intelligence (793 citations). Ritankar Das has collaborated with scholars based in United States, United Kingdom and Belgium. Frequent co-authors include Jacob Calvert, Jana Hoffman, Uli K. Chettipally, Mitchell D. Feldman, David Shimabukuro, Melissa Jay, Qingqing Mao, Andrea J. McCoy, Christopher W. Barton and Samson Mataraso. Their work appears in journals such as Computers in Biology and Medicine, BMJ Open, American Journal of Infection Control, Critical Care Medicine and JMIR Public Health and Surveillance.
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.