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

Matthew M. Ruppert

University of Florida

ORCID: 0000-0001-9757-4454
Medicine

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
0.879Author DataRank

Indexed papers

3in 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 3 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.

Clinical courses of acute kidney injury in hospitalized patients: a multistate analysis

Scientific Reports(2023)10.1038/s41598-023-45006-5
Top 37%
0.528DataRank
Top 37%12 citations

Yuanfang Ren, Ziyuan Guan, Matthew M. Ruppert, Parisa Rashidi, Azra Bihorac +2 more

Papers

Driven by 25 papers — median percentile 50. Top paper: “Clinical courses of acute kidney injury in hospitalized patients: a multistate analysis”.

Clinical courses of acute kidney injury in hospitalized patients: a multistate analysis

Scientific Reports(2023)10.1038/s41598-023-45006-5
Top 37%
0.528DataRank
Top 37%12 citations

Yuanfang Ren, Ziyuan Guan, Matthew M. Ruppert, Parisa Rashidi, Azra Bihorac +2 more

Physiologic signatures within six hours of hospitalization identify acute illness phenotypes

PLOS Digital Health(2022)10.1371/journal.pdig.0000110
Top 50%
0.351DataRank
Top 50%7 citations

Tyler J. Loftus, Yanjun Li, Ziyuan Guan, Matthew M. Ruppert, Shounak Datta +7 more

The impact of environmental risk factors on delirium and benefits of noise and light modifications: a scoping review

F1000Research(2020)10.12688/f1000research.25901.1
N/A
0DataRank · unranked
7 citations

Julie S Cupka, Jessica Lipori, Matthew M. Ruppert, Elizabeth Ingersent, Tezcan Ozrazgat‐Baslanti +3 more

The Impact of Environmental Risk Factors on Delirium and Benefits of Noise and Light Modifications: A Scoping Review

medRxiv(2020)10.1101/2020.05.20.20108373
N/A
0DataRank · unranked
7 citations

Julie S Cupka, Jessica Lipori, Matthew M. Ruppert, Elizabeth Ingersent, Tezcan Ozrazgat‐Baslanti +3 more

A Survey of Electronic Health Record (EHR) Variables Associated with Postoperative Delirium: A Systematic Review

medRxiv(2020)10.1101/2020.05.28.20116251
N/A
0DataRank · unranked
0 citations

Haleh Hashemighouchani, Emel Bihorac, Seth Williams, Laura Cristina Vélez, Julie S Cupka +4 more

Association of Postoperative Undertriage to Hospital Wards With Mortality and Morbidity

JAMA Network Open(2021)10.1001/jamanetworkopen.2021.31669
N/A
0DataRank · unranked
23 citations

Matthew M. Ruppert, Tezcan Ozrazgat‐Baslanti, Jeremy A. Balch, Philip A. Efron, Patrick Tighe +5 more

The effect of non-pharmacologic strategies on prevention or management of intensive care unit delirium: a systematic review

F1000Research(2021)10.12688/f1000research.25769.2
N/A
0DataRank · unranked
8 citations

Haleh Hashemighouchani, Jessica Lipori, Matthew M. Ruppert, Ria Bhaskar, Tezcan Ozrazgat‐Baslanti +3 more

Uncertainty-aware deep learning in healthcare: A scoping review

PLOS Digital Health(2022)10.1371/journal.pdig.0000085
N/A
0DataRank · unranked
60 citations

Benjamin Shickel, Matthew M. Ruppert, Jeremy A. Balch, Tezcan Ozrazgat‐Baslanti, Patrick Tighe +6 more

Ideal algorithms in healthcare: Explainable, dynamic, precise, autonomous, fair, and reproducible

PLOS Digital Health(2022)10.1371/journal.pdig.0000006
N/A
0DataRank · unranked
55 citations

Patrick Tighe, Tezcan Ozrazgat‐Baslanti, John P. Davis, Matthew M. Ruppert, Yuanfang Ren +8 more

The effect of non-pharmacologic strategies on prevention or management of intensive care unit delirium: a systematic review

F1000Research(2022)10.12688/f1000research.25769.3
N/A
0DataRank · unranked
2 citations

Haleh Hashemighouchani, Jessica Lipori, Matthew M. Ruppert, Ria Bhaskar, Tezcan Ozrazgat‐Baslanti +3 more

A deep learning–based dynamic model for predicting acute kidney injury risk severity in postoperative patients

Surgery(2023)10.1016/j.surg.2023.05.003
N/A
0DataRank · unranked
61 citations

Yuanfang Ren, Matthew M. Ruppert, Benjamin Shickel, Sandra L. Kane‐Gill, Raghavan Murugan +4 more

Dynamic predictions of postoperative complications from explainable, uncertainty-aware, and multi-task deep neural networks

Scientific Reports(2023)10.1038/s41598-023-27418-5
N/A
0DataRank · unranked
48 citations

Tyler J. Loftus, Matthew M. Ruppert, Gilbert R. Upchurch, Tezcan Ozrazgat‐Baslanti, Parisa Rashidi +2 more

Predictive Modeling for Readmission to Intensive Care: A Systematic Review

Critical Care Explorations(2023)10.1097/cce.0000000000000848
N/A
0DataRank · unranked
23 citations

Tyler J. Loftus, Coulter Small, Han Li, Tezcan Ozrazgat‐Baslanti, Jeremy A. Balch +7 more

Retrospective value assessment of a dedicated, trauma hybrid operating room

The Journal of Trauma: Injury, Infection, and Critical Care(2023)10.1097/ta.0000000000003873
N/A
0DataRank · unranked
12 citations

Tyler J. Loftus, Matthew M. Ruppert, Martin D. Rosenthal, Alicia M. Mohr, Philip A. Efron +3 more

Building an automated, machine learning-enabled platform for predicting post-operative complications

Physiological Measurement(2023)10.1088/1361-6579/acb4db
N/A
0DataRank · unranked
7 citations

Matthew M. Ruppert, Benjamin Shickel, Tezcan Ozrazgat‐Baslanti, Patrick Tighe, Philip A. Efron +5 more

Clinical Courses of Acute Kidney Injury in Hospitalized Patients: A Multistate Analysis

arXiv (Cornell University)(2023)10.48550/arxiv.2303.06071
Top 100%
0DataRank
Top 100%0 citations

Yuanfang Ren, Ziyuan Guan, Matthew M. Ruppert, Parisa Rashidi, Azra Bihorac +2 more

Identifying acute illness phenotypes via deep temporal interpolation and clustering network on physiologic signatures

Research Square(2023)10.21203/rs.3.rs-3276414/v1
N/A
0DataRank · unranked
0 citations

Yanjun Li, Tyler J. Loftus, Jeremy A. Balch, Kenneth L. Abbott, Matthew M. Ruppert +6 more

Community-engaged artificial intelligence research: A scoping review

PLOS Digital Health(2024)10.1371/journal.pdig.0000561
N/A
0DataRank · unranked
21 citations

Jeremy A. Balch, Kenneth L. Abbott, Die Hu, Matthew M. Ruppert, Benjamin Shickel +9 more

Electronic Health Record Data Quality and Performance Assessments: Scoping Review

JMIR Medical Informatics(2024)10.2196/58130
N/A
0DataRank · unranked
9 citations

Timothy R. Buchanan, Matthew M. Ruppert, Michelle Liu, Ramin Shekouhi, Ziyuan Guan +6 more

Identifying acute illness phenotypes via deep temporal interpolation and clustering network on physiologic signatures

Scientific Reports(2024)10.1038/s41598-024-59047-x
N/A
0DataRank · unranked
6 citations

Yanjun Li, Tyler J. Loftus, Jeremy A. Balch, Kenneth L. Abbott, Matthew M. Ruppert +6 more

Development and validation of a race-agnostic computable phenotype for kidney health in adult hospitalized patients

PLoS ONE(2024)10.1371/journal.pone.0299332
N/A
0DataRank · unranked
6 citations

Yuanfang Ren, Esra Adıyeke, Rubab Tarannum Islam, Haleh Hashemighouchani, Matthew M. Ruppert +11 more

Association of Sociodemographic Factors With Overtriage, Undertriage, and Value of Care After Major Surgery

Annals of Surgery Open(2024)10.1097/as9.0000000000000429
N/A
0DataRank · unranked
1 citations

Matthew M. Ruppert, Benjamin Shickel, Tezcan Ozrazgat‐Baslanti, Jeremy A. Balch, Kenneth L. Abbott +12 more

Improving the Intensive Care Patient Experience With Virtual Reality—A Feasibility Study

Critical Care Explorations(2020)10.1097/cce.0000000000000122
N/A
0DataRank · unranked
81 citations

Matthew M. Ruppert, Maisha Akbar, Parisa Rashidi, Tezcan Ozrazgat‐Baslanti, Azra Bihorac +2 more

Equipping mathematical models for hospital dynamics using information theory

npj Digital Medicine(2025)10.1038/s41746-025-02013-2
N/A
0DataRank · unranked
0 citations

Jackson G. Brandberg, Robert T. Andris, Ian German Mesner, Daniel Nametz, Murad Megjhani +11 more

The effect of non-pharmacologic strategies on prevention or management of intensive care unit delirium: a systematic review

F1000Research(2020)10.12688/f1000research.25769.1
N/A
0DataRank · unranked
8 citations

Haleh Hashemighouchani, Jessica Lipori, Matthew M. Ruppert, Ria Bhaskar, Tezcan Ozrazgat‐Baslanti +3 more