Kathleen Flood

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

0in pilot corpus

datarank_citation_only_1hop_v6· scope data_onlyMethodology

Papers

Driven by 3 papers. Top paper: “Evaluating AI proficiency in nuclear cardiology: Large language models take on the board preparation exam”.

Evaluating AI proficiency in nuclear cardiology: Large language models take on the board preparation exam

Journal of Nuclear Cardiology(2024)10.1016/j.nuclcard.2024.102089

N/A

0DataRank · unranked

16 citations

Aakash Shanbhag, Robert J.H. Miller, Damini Dey, Joanna X. Liang, Kathleen Flood +5 more

Evaluating AI Proficiency in Nuclear Cardiology: Large Language Models take on the Board Preparation Exam

medRxiv(2024)10.1101/2024.07.16.24310297

N/A

0DataRank · unranked

6 citations

Aakash Shanbhag, Robert JH Miller, Damini Dey, Joanna X. Liang, Kathleen Flood +5 more

Priming with specific context improves large language model performance on nuclear cardiology board preparation test

Journal of Nuclear Cardiology(2025)10.1016/j.nuclcard.2025.102269

N/A

0DataRank · unranked

2 citations

Valerie Builoff, Aditya Killekar, Aakash Shanbhag, Robert J.H. Miller, Damini Dey +8 more