🏆 Finalist — NIH Data Sharing Index (“S-Index”) Challenge

Scott Levin

Johns Hopkins University

ORCID: 0000-0002-7143-7635

Also affiliated with Danaher (United States), Johns Hopkins Medicine, Beckman Coulter Foundation

MedicineHealth ProfessionsEconomics, Econometrics and Finance

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 7 papers. Top paper: Early Prediction of Acute Kidney Injury in the Emergency Department With Machine-Learning Methods Applied to Electronic Health Record Data.

68 citations

Scott Levin, Eili Klein, Chirag R. Parikh, Steven Menez, Richard A. Taylor +2 more

0 citations

Scott Levin, Aaron M. Milstone, Pranita D. Tamma, Patricia J. Simner, Katherine E Goodman +6 more

9 citations

Nancy Perrin, Nisa M. Maruthur, Susan Renda, Scott Levin, Hae-Ra Han +1 more

29 citations

Zachary Shenk, Susan Renda, Nisa M. Maruthur, Stanley Zheng, Nancy Perrin +3 more

10 citations

Jianwen Cai, Grace A. Lin, Katherine E Goodman, Rajib Paul, Justin Lessler +6 more

7 citations

Aidan Gilson, Ling Chi, Adrian D. Haimovich, Anna Crawford, Cynthia Brandt +6 more

4 citations

Aria Smith, Matthew Toerper, Scott Levin, Scott D. Halpern, Oluwakemi Badaki‐Makun +2 more