Supreeth P. Shashikumar
- Artificial Intelligence top 2%
- Epidemiology top 5%
- Cardiology and Cardiovascular Medicine top 10%
- Biomedical Engineering
- Cognitive Neuroscience top 10%
- Co-authors
- Shamim NematiGari D. CliffordAshish SharmaGabriel WardiMatthew A. ReynaAmit ShahChristopher S. JosefAndre L. Holder
- Topics
- Sepsis Diagnosis and Treatment (27 papers)Machine Learning in Healthcare (24 papers)Clinical Reasoning and Diagnostic Skills (10 papers)
- Partner nations
- United StatesUnited KingdomChina
In The Last Decade
Supreeth P. Shashikumar
37 papers receiving 1.1k citations
Hit Papers
Peers
Comparison fields: 5 of 101
- Artificial Intelligence 578
- Epidemiology 534
- Cardiology and Cardiovascular Medicine 256
- Biomedical Engineering 153
- Cognitive Neuroscience 134
Countries citing papers authored by Supreeth P. Shashikumar
This map shows the geographic impact of Supreeth P. Shashikumar'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 Supreeth P. Shashikumar with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Supreeth P. Shashikumar more than expected).
Fields of papers citing papers by Supreeth P. Shashikumar
This network shows the impact of papers produced by Supreeth P. Shashikumar. 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 Supreeth P. Shashikumar. The network helps show where Supreeth P. Shashikumar may publish in the future.
Co-authorship network of co-authors of Supreeth P. Shashikumar
This figure shows the co-authorship network connecting the top 25 collaborators of Supreeth P. Shashikumar. A scholar is included among the top collaborators of Supreeth P. Shashikumar 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 Supreeth P. Shashikumar. Supreeth P. Shashikumar is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 8 | |
| 2 | 4 | |
| 3 | 1 | |
| 4 | 0 | |
| 5 | 0 | |
| 6 | 2 | |
| 7 | 0 | |
| 8 | 1 | |
| 9 | 3 | |
| 10 | 26 | |
| 11 | 62 | |
| 12 | 56 | |
| 13 | 8 | |
| 14 | 31 | |
| 15 | 105 | |
| 16 | 29 | |
| 17 | DeepAISE on FHIR — An Interoperable Real-Time Predictive Analytic Platform for Early Prediction of Sepsis | 1 |
| 18 | 11 | |
| 19 | 110 | |
| 20 | 37 |
About Supreeth P. Shashikumar
Supreeth P. Shashikumar is a scholar working on Family Practice, Epidemiology and Artificial Intelligence, having authored 40 papers that have together received 1.2k indexed citations. Recurring topics across this work include Sepsis Diagnosis and Treatment (27 papers), Machine Learning in Healthcare (24 papers) and Clinical Reasoning and Diagnostic Skills (10 papers). The work is most often cited by research in Health Informatics (90 citations), Family Practice (119 citations) and Health Information Management (92 citations). Supreeth P. Shashikumar has collaborated with scholars based in United States, United Kingdom and China. Frequent co-authors include Shamim Nemati, Gari D. Clifford, Ashish Sharma, Gabriel Wardi, Matthew A. Reyna, Amit Shah, Christopher S. Josef, Andre L. Holder, M. Brandon Westover and Russell Jeter. Their work appears in journals such as Scientific Reports, CHEST Journal and Critical Care Medicine.
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.