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

Juan José López García

University of North Carolina at Chapel Hill

ORCID: 0000-0002-0918-7380

Also affiliated with Consejo Nacional de Investigaciones Científicas y Técnicas, Universidad de Murcia

Social SciencesComputer SciencePsychology

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: “Selective classification with machine learning uncertainty estimates improves ACS prediction: A retrospective study in the prehospital setting.”.

Selective classification with machine learning uncertainty estimates improves ACS prediction: A retrospective study in the prehospital setting.

Research Square(2024)10.21203/rs.3.rs-4437265/v1
N/A
0DataRank · unranked
1 citations

Rebecca Rutherford Kitzmiller, Ashok Krishnamurthy, Jessica K. Zègre‐Hemsey, Juan José López García

FHIR PIT: a geospatial and spatiotemporal data integration pipeline to support subject-level clinical research

BMC Medical Informatics and Decision Making(2025)10.1186/s12911-024-02815-6
N/A
0DataRank · unranked
0 citations

Juan José López García, Hong Yi, Griffin Roupe, Ashok Krishnamurthy, Karamarie Fecho

FHIR PIT: a geospatial and spatiotemporal data integration pipeline to support subject-level clinical research

UNC Libraries(2025)10.17615/8xtp-yq44
N/A
0DataRank · unranked
0 citations

Ashok Krishnamurthy, Karamarie Fecho, Yi Hong, Juan José López García, Griffin Roupe