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

Nicholas P. Gruszauskas

University of Chicago

ORCID: 0000-0002-9667-7248
Computer ScienceMedicine

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 4%percentile
0.714Author DataRank

Indexed papers

2in 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 2 indexed papers 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.

Longitudinal assessment of demographic representativeness in the Medical Imaging and Data Resource Center open data commons

Journal of Medical Imaging(2023)10.1117/1.jmi.10.6.061105
Top 32%
0.610DataRank
Top 32%9 citations

Natalie Baughan, Kyle J. Myers, Karen Drukker, Judy Wawira Gichoya, Brad Bower +9 more

Papers

Driven by 5 papers — median percentile 45. Top paper: “Longitudinal assessment of demographic representativeness in the Medical Imaging and Data Resource Center open data commons”.

Longitudinal assessment of demographic representativeness in the Medical Imaging and Data Resource Center open data commons

Journal of Medical Imaging(2023)10.1117/1.jmi.10.6.061105
Top 32%
0.610DataRank
Top 32%9 citations

Natalie Baughan, Kyle J. Myers, Karen Drukker, Judy Wawira Gichoya, Brad Bower +9 more

Longitudinal assessment of demographic representativeness in the Medical Imaging and Data Resource Center Open Data Commons

arXiv (Cornell University)(2023)10.48550/arxiv.2303.10501
Top 78%
0.104DataRank
Top 78%1 citations

Natalie Baughan, Kyle J. Myers, Karen Drukker, Judy Wawira Gichoya, Brad Bower +9 more

Toward fairness in artificial intelligence for medical image analysis: identification and mitigation of potential biases in the roadmap from data collection to model deployment

Journal of Medical Imaging(2023)10.1117/1.jmi.10.6.061104
N/A
0DataRank · unranked
133 citations

Weijie Chen, Judy Wawira Gichoya, Nicholas P. Gruszauskas, Jayashree Kalpathy–Cramer, Oluwasanmi Koyejo +7 more

Demonstration of Interoperability Between MIDRC and N3C: A COVID-19 Severity Prediction Use Case

Journal of Imaging Informatics in Medicine(2025)10.1007/s10278-025-01605-4
N/A
0DataRank · unranked
0 citations

Rachel Baccile, Hui Li, Karen Drukker, Christopher Meyer, Nicholas P. Gruszauskas +95 more

Machine learning evaluation of pneumonia severity: subgroup performance in the Medical Imaging and Data Resource Center modified radiographic assessment of lung edema mastermind challenge

Journal of Medical Imaging(2025)10.1117/1.jmi.12.5.054502
N/A
0DataRank · unranked
0 citations

Samuel G. Armato, Lubomir M. Hadjiiski, Judy Wawira Gichoya, Nicholas P. Gruszauskas, Jayashree Kalpathy-Cramer +7 more