Ashwin Nayak

ORCID: 0009-0003-2024-3683

Computer ScienceMedicineEnvironmental ScienceHealth Professions

Pilot 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.

Top 100%percentile

0Author DataRank

Indexed papers

1in pilot corpus

datarank_citation_only_1hop_v6· scope data_onlyMethodology

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 →

Papers

Driven by 2 papers. Top paper: “Use of Voice-Based Conversational Artificial Intelligence for Basal Insulin Prescription Management Among Patients With Type 2 Diabetes”.

Use of Voice-Based Conversational Artificial Intelligence for Basal Insulin Prescription Management Among Patients With Type 2 Diabetes

JAMA Network Open(2023)10.1001/jamanetworkopen.2023.40232

N/A

0.657DataRank · unranked

79 citations

Sharif Vakili, Kristen Nayak, Margaret Nikolov, Michelle Chiu, Philip Sosseinheimer +6 more

Diagnostic reasoning prompts reveal the potential for large language model interpretability in medicine

npj Digital Medicine(2024)10.1038/s41746-024-01010-1

N/A

0DataRank · unranked

243 citations

Ashwin Nayak, Robert Gallo, Ekanath Rangan, Jonathan H. Chen, Thomas Savage