Saurav Sengupta
ORCID: 0000-0002-9748-0551Pilot corpus only
This score is computed over theSindex pilot corpus and does not cover the full scientific literature. Scores are relative to papers we have ingested — papers, authors, and institutions outside the pilot are not represented. Methodology.
Indexed papers
Why this DataRank?
An author's DataRank is the sum of the DataRanks of all 1 indexed paper attributed to them. A prolific author with many moderate-impact papers can outrank one with a single high-impact paper.
Author scores recompute whenever paper DataRanks are refreshed, so this number lags the underlying paper scores by at most one batch run.
Read the full methodology →Top data-sharing exemplar
The highest-impact dataset this researcher has shared, ranked by DataRank — the single contribution doing the most to lift their data-sharing standing.
Analyzing historical diagnosis code data from NIH N3C and RECOVER Programs using deep learning to determine risk factors for Long Covid
Johanna J. Loomba, Suchetha Sharma, Donald Brown, Lorna E. Thorpe, Melissa A Haendel +3 more
Papers
Driven by 3 papers — median percentile 54. Top paper: “Analyzing historical diagnosis code data from NIH N3C and RECOVER Programs using deep learning to determine risk factors for Long Covid”.
Analyzing historical diagnosis code data from NIH N3C and RECOVER Programs using deep learning to determine risk factors for Long Covid
Johanna J. Loomba, Suchetha Sharma, Donald Brown, Lorna E. Thorpe, Melissa A Haendel +3 more
Lubaina Ehsan, Aman Shrivastava, Saurav Sengupta, Marium Khan, Kamran Kowsari +14 more
Zehra Jamil, Lubaina Ehsan, Fatima Zulqarnain, Sanjana Srivastava, Saman Siddiqui +17 more