Sasank Chilamkurthy
- Health Informatics top 1%
- Neurology top 10%
- Traumatic Brain Injury and Neurovascular Disturbances 2
- Neurology top 10%
- Traumatic Brain Injury and Neurovascular Disturbances 2
- Artificial Intelligence top 10%
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- Acute Ischemic Stroke Management 3
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- Craniofacial Disorders and Treatments 2
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- Image and Signal Denoising Methods 1
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- Cerebrospinal fluid and hydrocephalus 1
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- Artificial Intelligence in Healthcare 1
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- Digital Filter Design and Implementation 1
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- Mathematical Analysis and Transform Methods 1
- Co-authors
- Swetha TanamalaVidur MahajanPrashant WarierPooja RaoNorbert G. CampeauVasantha Kumar VenugopalRohit GhoshAntonio Pepe
- Journals
- The Lancet (1 paper)SHILAP Revista de lepidopterología (1 paper)Journal of the Neurological Sciences (1 paper)
- Partner nations
- United StatesIndiaAustria
In The Last Decade
Sasank Chilamkurthy
5 papers receiving 644 citations
Hit Papers
Peers
Comparison fields: 5 of 105
- Health Informatics 132
- Radiology, Nuclear Medicine and Imaging 268
- Neurology 176
- Neurology 75
- Artificial Intelligence 184
Countries citing papers authored by Sasank Chilamkurthy
This map shows the geographic impact of Sasank Chilamkurthy'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 Sasank Chilamkurthy with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Sasank Chilamkurthy more than expected).
Fields of papers citing papers by Sasank Chilamkurthy
This network shows the impact of papers produced by Sasank Chilamkurthy. 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 Sasank Chilamkurthy. The network helps show where Sasank Chilamkurthy may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Sasank Chilamkurthy, 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 | 2023 | 3 | |
| 2 | 2021 | 7 | |
| 3 | 2021 | 18 | |
| 4 | 2021 | 1 | |
| 5 | Deep learning algorithms for detection of critical findings in head CT scans: a retrospective studybreakdown → | 2018 | 626 |
| 6 | 2015 | 8 |
About Sasank Chilamkurthy
Sasank Chilamkurthy is a scholar working on Health Informatics, Health Information Management and Neurology, having authored 6 papers that have together received 663 indexed citations. Recurring topics across this work include Acute Ischemic Stroke Management (3 papers), Traumatic Brain Injury and Neurovascular Disturbances (2 papers), Craniofacial Disorders and Treatments (2 papers), Image and Signal Denoising Methods (1 paper), Cerebrospinal fluid and hydrocephalus (1 paper), Artificial Intelligence in Healthcare (1 paper), Digital Filter Design and Implementation (1 paper) and Mathematical Analysis and Transform Methods (1 paper). The work is most often cited by research in Health Informatics (132 citations), Radiology, Nuclear Medicine and Imaging (268 citations) and Neurology (176 citations). Sasank Chilamkurthy has collaborated with scholars based in United States, India and Austria. Frequent co-authors include Swetha Tanamala, Vidur Mahajan, Prashant Warier, Pooja Rao, Norbert G. Campeau, Vasantha Kumar Venugopal, Rohit Ghosh, Antonio Pepe, Jianning Li and Christina Gsaxner. Their work appears in journals such as The Lancet, SHILAP Revista de lepidopterología and Journal of the Neurological Sciences.
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.