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

Paul M. Heider

Medical University of South Carolina

ORCID: 0000-0002-1589-4567
Biochemistry, Genetics and Molecular BiologyComputer ScienceHealth Professions

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

1in pilot corpus
datarank_citation_only_1hop_v6· scope data_onlyMethodology
Why this DataRank?

An author's DataRank is the sum of the DataRanks of all 1 indexed paper attributed to them. A prolific author with many moderate-impact papers can outrank one with a single high-impact paper.

Author scores recompute whenever paper DataRanks are refreshed, so this number lags the underlying paper scores by at most one batch run.

Read the full methodology →

Top data-sharing exemplar

The highest-impact dataset this researcher has shared, ranked by DataRank — the single contribution doing the most to lift their data-sharing standing.

Development and validation of natural language processing algorithms in the national ENACT network

Journal of Clinical and Translational Science(2025)10.1017/cts.2025.10116
Top 100%
0DataRank
Top 100%0 citations

Jordan Hilsman, Chenyu Li, Michele Morris, Paul M. Heider, Sunyang Fu +31 more

Papers

Driven by 8 papers — median percentile 0. Top paper: “Piloting an Automated Clinical Trial Eligibility Surveillance and Provider Alert System based on Artificial Intelligence and Standard Data Models”.

Piloting an Automated Clinical Trial Eligibility Surveillance and Provider Alert System based on Artificial Intelligence and Standard Data Models

Research Square(2022)10.21203/rs.3.rs-1683984/v1
N/A
0DataRank · unranked
0 citations

Paul M. Heider, Andrew Cates, Grace Bastian, Tara Pittman, Stephanie Gentilin +2 more

Piloting an automated clinical trial eligibility surveillance and provider alert system based on artificial intelligence and standard data models

BMC Medical Research Methodology(2023)10.1186/s12874-023-01916-6
N/A
0DataRank · unranked
24 citations

Paul M. Heider, Andrew Cates, Grace Bastian, Tara Pittman, Stephanie Gentilin +2 more

Initial development of tools to identify child abuse and neglect in pediatric primary care

BMC Medical Informatics and Decision Making(2023)10.1186/s12911-023-02361-7
N/A
0DataRank · unranked
16 citations

Vivienne J. Zhu, Funlola Are, Hannah C. Espeleta, Elizabeth Wallis, Paul M. Heider +3 more

Representing and utilizing clinical textual data for real world studies: An OHDSI approach

Journal of Biomedical Informatics(2023)10.1016/j.jbi.2023.104343
N/A
0DataRank · unranked
15 citations

Juan M. Banda, Michael Gurley, Paul M. Heider, Georgina Kennedy, Hongfang Liu +22 more

An Extensible Evaluation Framework Applied to Clinical Text Deidentification Natural Language Processing Tools: Multisystem and Multicorpus Study

Journal of Medical Internet Research(2024)10.2196/55676
N/A
0DataRank · unranked
3 citations

Stéphane M. Meystre, Paul M. Heider

Development and Validation of Natural Language Processing Algorithms in the ENACT National Electronic Health Record Research Network

medRxiv(2025)10.1101/2025.01.24.25321096
N/A
0DataRank · unranked
4 citations

Jordan Hilsman, Chenyu Li, Michele Morris, Paul M. Heider, Sunyang Fu +31 more

Clinical Significance of Marital Status and Changes in StatusExtracted from Unstructured Clinical Notes

Research Square(2025)10.21203/rs.3.rs-6578415/v1
N/A
0DataRank · unranked
0 citations

Paul M. Heider, Jihad S. Obeid, Alexander V. Alekseyenko, Leslie Lenert, Dmitry Scherbakov

Development and validation of natural language processing algorithms in the national ENACT network

Journal of Clinical and Translational Science(2025)10.1017/cts.2025.10116
Top 100%
0DataRank
Top 100%0 citations

Jordan Hilsman, Chenyu Li, Michele Morris, Paul M. Heider, Sunyang Fu +31 more