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

György Simon

University of Minnesota

ORCID: 0000-0003-4715-5934

Also affiliated with University of Minnesota System

Computer ScienceHealth ProfessionsMedicineBiochemistry, 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 4%percentile
0.763Author 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.

Causal structure discovery identifies risk factors and early brain markers related to evolution of white matter hyperintensities

NeuroImage Clinical(2022)10.1016/j.nicl.2022.103077
Top 26%
0.763DataRank
Top 26%23 citations

Sheelakumari Raghavan, Scott A. Przybelski, Timothy G. Lesnick, Sisi Ma, Robert I. Reid +8 more

Papers

Driven by 10 papers — median percentile 74. Top paper: “Challenges and Opportunities with Causal Discovery Algorithms: Application to Alzheimer’s Pathophysiology”.

Challenges and Opportunities with Causal Discovery Algorithms: Application to Alzheimer’s Pathophysiology

Scientific Reports(2020)10.1038/s41598-020-59669-x
N/A
4.4DataRank · unranked
136 citations

Sisi Ma, Prashanthi Vemuri, György Simon, the Alzheimer’s Disease Neuroimaging Initiative, Michael W. Weiner +95 more

Causal structure discovery identifies risk factors and early brain markers related to evolution of white matter hyperintensities

NeuroImage Clinical(2022)10.1016/j.nicl.2022.103077
Top 26%
0.763DataRank
Top 26%23 citations

Sheelakumari Raghavan, Scott A. Przybelski, Timothy G. Lesnick, Sisi Ma, Robert I. Reid +8 more

A novel method for causal structure discovery from EHR data and its application to type-2 diabetes mellitus

Scientific Reports(2021)10.1038/s41598-021-99990-7
N/A
0.464DataRank · unranked
21 citations

Sisi Ma, Prashanthi Vemuri, M. Regina Castro, Pedro J. Caraballo, György Simon +1 more

A novel method for Causal Structure Discovery from EHR data: A demonstration on type-2 diabetes mellitus

Research Square(2021)10.21203/rs.3.rs-486814/v1
N/A
0.104DataRank · unranked
1 citations

Sisi Ma, Prashanthi Vemuri, M. Regina Castro, Pedro J. Caraballo, György Simon +1 more

Association of BMI, comorbidities and all-cause mortality by using a baseline mortality risk model

PLoS ONE(2021)10.1371/journal.pone.0253696
N/A
0DataRank · unranked
20 citations

György Simon, M. Regina Castro, Vipin Kumar, Michael Steinbach, Pedro J. Caraballo +1 more

Machine learning for post-liver transplant survival: Bridging the gap for long-term outcomes through temporal variation features

Computer Methods and Programs in Biomedicine(2024)10.1016/j.cmpb.2024.108442
N/A
0DataRank · unranked
4 citations

Sawyer Olson, György Simon, Lisiane Pruinelli, Kiruthika Balakrishnan

Machine Learning for Risk Prediction of Recurrent AKI in Adult Patients After Hospital Discharge

Studies in health technology and informatics(2024)10.3233/shti230959
N/A
0DataRank · unranked
1 citations

Paul E. Drawz, György Simon, Terrence J Adam, Genevieve B. Melton, Jianqiu Zhang

Development and Validation of a Risk Stratification Model Using Disease Severity Hierarchy for Mortality or Major Cardiovascular Event

JAMA Network Open(2020)10.1001/jamanetworkopen.2020.8270
N/A
0DataRank · unranked
16 citations

Pedro J. Caraballo, Thomas J. O’Byrne, David Chen, Nilay D. Shah, Lisiane Pruinelli +3 more

Predicting diabetes clinical outcomes using longitudinal risk factor trajectories

BMC Medical Informatics and Decision Making(2020)10.1186/s12911-019-1009-3
N/A
0DataRank · unranked
17 citations

Kevin Peterson, M. Regina Castro, Michael Steinbach, Vipin Kumar, Pedro J. Caraballo +1 more

min-SIA: a Lightweight Algorithm to Predict the Risk of 6-Month Mortality at the Time of Hospital Admission

Journal of General Internal Medicine(2020)10.1007/s11606-020-05733-1
N/A
0DataRank · unranked
3 citations

Roshan Tourani, Donald R. Sullivan, György Simon, Nishant Sahni