Mustafa Kemal Ozalp

Collaborations Pharmaceuticals (United States)

Computer ScienceEarth and Planetary SciencesEnvironmental Science

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 1 paper. Top paper: “The Goldilocks paradigm: comparing classical machine learning, large language models, and few-shot learning for drug discovery applications”.

The Goldilocks paradigm: comparing classical machine learning, large language models, and few-shot learning for drug discovery applications

Communications Chemistry(2024)10.1038/s42004-024-01220-4

N/A

0DataRank · unranked

29 citations

Patricia A. Vignaux, Mustafa Kemal Ozalp, Jacob Gerlach, Ana C. Puhl, Thomas R. Lane +4 more