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

Ryan L. Melvin

University of Alabama at Birmingham

ORCID: 0000-0001-6770-3841

MedicineBiochemistry, Genetics and Molecular Biology

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 4 papers. Top paper: “Machine Learning Predicts Unplanned Care Escalations for Post-Anesthesia Care Unit Patients during the Perioperative Period: A Single-Center Retrospective Study”.

Machine Learning Predicts Unplanned Care Escalations for Post-Anesthesia Care Unit Patients during the Perioperative Period: A Single-Center Retrospective Study

Journal of Medical Systems(2024)10.1007/s10916-024-02085-9

N/A

0DataRank · unranked

11 citations

Ryan L. Melvin, Ryan C. Godwin, David Benz, Brant M. Wagener, Andrew B. Barker

Automated extraction of heart rate variability from magnetoencephalography signals

Heliyon(2024)10.1016/j.heliyon.2024.e26664

N/A

0DataRank · unranked

6 citations

William C. Flood, Jeremy P. Hudson, Marc Benayoun, Michael E. Zapadka, Ryan L. Melvin +2 more

Grant drafting support with guided generative AI software

SoftwareX(2024)10.1016/j.softx.2024.101784

N/A

0DataRank · unranked

10 citations

Jennifer J. DeBerry, Brant M. Wagener, Dan E. Berkowitz, Ryan L. Melvin, Ryan C. Godwin

Use of machine learning models to identify National Institutes of Health-funded cardiac arrest research

Resuscitation(2025)10.1016/j.resuscitation.2025.110545

N/A

0DataRank · unranked

5 citations

Kameshwari Soundararajan, Michael C. Kurz, Ryan L. Melvin, Ryan C. Godwin, Ryan A. Coute