Prashant Warier
Impact in
- Health Informatics top 1%
- Artificial Intelligence in Healthcare and Education
- Neurology top 5%
- Intracerebral and Subarachnoid Hemorrhage Research
- Brain Tumor Detection and Classification
Papers in
- Surgery 2
- Transplantation: Methods and Outcomes 2
-
- Intracerebral and Subarachnoid Hemorrhage Research 1
- Co-authors
- Pooja Rao (4 shared papers)Rohit Ghosh (3 shared papers)Vasantha Kumar Venugopal (1 shared paper)Sasank Chilamkurthy (1 shared paper)Norbert G. Campeau (1 shared paper)Swetha Tanamala (1 shared paper)Mustafa Biviji (1 shared paper)Vidur Mahajan (1 shared paper)
- Journals
- Journal of the American Heart Association (1 paper)Clinical Cardiology (1 paper)Journal of Cardiac Failure (1 paper)The Lancet (1 paper)arXiv (Cornell University) (1 paper)
- Partner nations
- United StatesIndiaCanada
In The Last Decade
Prashant Warier
5 papers receiving 858 citations
Prashant Warier's Hit Papers
Peers
Comparison fields: 5 of 112
- Health Informatics 134
- Neurology 161
- Radiology, Nuclear Medicine and Imaging 213
- Health Information Management 42
- Neurology 63
Countries citing papers authored by Prashant Warier
This map shows the geographic impact of Prashant Warier'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 Prashant Warier with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Prashant Warier more than expected).
Fields of papers citing papers by Prashant Warier
This network shows the impact of papers produced by Prashant Warier. 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 Prashant Warier. The network helps show where Prashant Warier may publish in the future.
Co-authors
The 23 scholars most cited alongside Prashant Warier, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | Deep learning algorithms for detection of critical findings in head CT scans: a retrospective study Hit paper breakdown → | 2018 | 649 |
| 2 | 2018 | 165 | |
| 3 | 2019 | 52 | |
| 4 | 2018 | 7 | |
| 5 | 2018 | 2 |
About Prashant Warier
Prashant Warier is a scholar working on Surgery, Neurology, Cardiology and Cardiovascular Medicine, Family Practice and Health Informatics, having authored 5 papers that have together received 875 indexed citations. Recurring topics across this work include Transplantation: Methods and Outcomes (2 papers), Heart Failure Treatment and Management (1 paper), Radiomics and Machine Learning in Medical Imaging (1 paper), Artificial Intelligence in Healthcare and Education (1 paper), Advanced Causal Inference Techniques (1 paper), Intracerebral and Subarachnoid Hemorrhage Research (1 paper), Medication Adherence and Compliance (1 paper) and COVID-19 diagnosis using AI (1 paper). The work is most often cited by research in Health Informatics (134 citations), Neurology (161 citations), Radiology, Nuclear Medicine and Imaging (213 citations), Health Information Management (42 citations) and Neurology (63 citations). Prashant Warier has collaborated with scholars based in United States, India and Canada. Frequent co-authors include Pooja Rao, Rohit Ghosh, Vasantha Kumar Venugopal, Sasank Chilamkurthy, Norbert G. Campeau, Swetha Tanamala, Mustafa Biviji, Vidur Mahajan, Nihar R. Desai and Benjamin J. Vaccaro. Their work appears in journals such as Journal of the American Heart Association, Clinical Cardiology, Journal of Cardiac Failure, The Lancet and arXiv (Cornell University).
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.