Ritankar Das
- Epidemiology top 2%
- Artificial Intelligence top 1%
- Radiology, Nuclear Medicine and Imaging top 5%
- Health Information Management top 0.2%
- Health Informatics top 0.2%
- Co-authors
- Jacob CalvertJana HoffmanUli K. ChettipallyMitchell D. FeldmanDavid ShimabukuroMelissa JayQingqing MaoAndrea J. McCoy
- Topics
- Sepsis Diagnosis and Treatment (27 papers)Machine Learning in Healthcare (19 papers)Hemodynamic Monitoring and Therapy (6 papers)
- Partner nations
- United StatesUnited KingdomBelgium
In The Last Decade
Ritankar Das
60 papers receiving 2.5k citations
Hit Papers
Peers
Comparison fields: 5 of 145
- Epidemiology 1.3k
- Artificial Intelligence 1.2k
- Radiology, Nuclear Medicine and Imaging 372
- Health Information Management 348
- Health Informatics 346
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-authorship network of co-authors of Ritankar Das
This figure shows the co-authorship network connecting the top 25 collaborators of Ritankar Das. A scholar is included among the top collaborators of Ritankar Das based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Ritankar Das. Ritankar Das is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 0 | |
| 3 | 1 | |
| 4 | 7 | |
| 5 | 4 | |
| 6 | 6 | |
| 7 | 50 | |
| 8 | 22 | |
| 9 | 19 | |
| 10 | 13 | |
| 11 | 32 | |
| 12 | 35 | |
| 13 | 96 | |
| 14 | 15 | |
| 15 | 229 | |
| 16 | 102 | |
| 17 | 111 | |
| 18 | 83 | |
| 19 | 19 | |
| 20 | Prediction of Sepsis in the Intensive Care Unit With Minimal Electronic Health Record Data: A Machine Learning Approachbreakdown → | 339 |
About Ritankar Das
Ritankar Das is a scholar working on Health Informatics, Family Practice and Epidemiology, having authored 64 papers that have together received 2.6k indexed citations. Recurring topics across this work include Sepsis Diagnosis and Treatment (27 papers), Machine Learning in Healthcare (19 papers) and Hemodynamic Monitoring and Therapy (6 papers). The work is most often cited by research in Health Informatics (346 citations), Family Practice (260 citations) and Health Information Management (348 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 Christopher Barton. Their work appears in journals such as Circulation, The Journal of Chemical Physics and Scientific Reports.
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.