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

Romain Pirracchio

San Francisco General Hospital

ORCID: 0000-0002-7007-4908

Also affiliated with Inserm, University of California, San Francisco, Université Paris Cité, Sorbonne Université, Université Sorbonne Paris Nord, Sorbonne Paris Cité, Centre de Recherche Épidémiologie et Statistique

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
0.910Author 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.

Development of a Machine Learning Model of Postoperative Acute Kidney Injury Using Non-Invasive Time-Sensitive Intraoperative Predictors

Bioengineering(2023)10.3390/bioengineering10080932
Top 43%
0.436DataRank
Top 43%9 citations

Alan E. Hubbard, Jean Feng, Atul Janardhan Butte, Romain Pirracchio, Andrew Bishara +2 more

Papers

Driven by 18 papers — median percentile 50. Top paper: “Association between peripheral perfusion index and postoperative acute kidney injury in major noncardiac surgery patients receiving continuous vasopressors: a post hoc exploratory analysis of the VEGA-1 trial”.

Association between peripheral perfusion index and postoperative acute kidney injury in major noncardiac surgery patients receiving continuous vasopressors: a post hoc exploratory analysis of the VEGA-1 trial

British Journal of Anaesthesia(2024)10.1016/j.bja.2023.11.054
N/A
0.679DataRank · unranked
15 citations

Michael P. Bokoch, Rishi Kothari, Nicholas Fong, Roberta T. Tallarico, Jillene Sturgess-DaPrato +4 more

Development of a Machine Learning Model of Postoperative Acute Kidney Injury Using Non-Invasive Time-Sensitive Intraoperative Predictors

Bioengineering(2023)10.3390/bioengineering10080932
Top 43%
0.436DataRank
Top 43%9 citations

Alan E. Hubbard, Jean Feng, Atul Janardhan Butte, Romain Pirracchio, Andrew Bishara +2 more

Open Access Dataset and Common Data Model for Pulse Oximeter Performance Data

Scientific Data(2025)10.1038/s41597-025-04870-8
Top 50%
0.351DataRank
Top 50%4 citations

Michael S. Lipnick, Ella Behnke, Yu Chou, Seif Elmankabadi, Lily Ortiz +22 more

Development of a machine learning-derived model to predict unplanned ICU admissions after major non-cardiac surgery

BMC Anesthesiology(2025)10.1186/s12871-025-03195-8
N/A
0.321DataRank · unranked
5 citations

Matthias R. Braehler, Anne L. Donovan, Atul Janardhan Butte, Romain Pirracchio, Andrew Bishara +1 more

Preoperative Cardiovascular Risk and Postoperative Outcomes by Renin-Angiotensin System Inhibitor Use

JAMA Cardiology(2025)10.1001/jamacardio.2025.1920
N/A
0.219DataRank · unranked
3 citations

Romain Pirracchio, Bernard Cholley, Alexandre Joosten, Julien Birckener, Jérémy Falcone +6 more

Open Access Data Repository and Common Data Model for Pulse Oximeter Performance Data

medRxiv(2024)10.1101/2024.08.30.24312744
Top 71%
0.123DataRank
Top 71%1 citations

Michael S. Lipnick, Ella Behnke, Yu Chou, Seif Elmankabadi, Lily Ortiz +22 more

Evaluating AI-based comprehensive clinical decision support for sepsis and ARDS: protocol for a Clinician Turing Test

BMJ Open(2025)10.1136/bmjopen-2025-106757
N/A
0.104DataRank · unranked
1 citations

Nicholas S. Bishop, B. Schmid, Romain Pirracchio, Thomas S. Valley, Sivasubramanium V. Bhavani +8 more

A descriptive appraisal of quality of reporting in a cohort of machine learning studies in anesthesiology

Anaesthesia Critical Care & Pain Medicine(2022)10.1016/j.accpm.2022.101126
N/A
0DataRank · unranked
4 citations

Catherine Chiu, Mira Moukheiber, Matthew Jehiro, Andrew Bishara, Christine U. Lee +3 more

Crowd-sourced machine learning prediction of long COVID using data from the National COVID Cohort Collaborative

EBioMedicine(2024)10.1016/j.ebiom.2024.105333
N/A
0DataRank · unranked
4 citations

Johanna J. Loomba, Emily Pfaff, Fangfang Xia, Zixuan Zhao, Yitan Zhu +90 more

Intraoperative Use of Albumin in Major Noncardiac Surgery: Incidence, Variability, and Association With Outcomes

Annals of Surgery(2022)10.1097/sla.0000000000005774
N/A
0DataRank · unranked
24 citations

Nicholas Fong, Orestes Mavrothalassitis, Elizabeth L. Whitlock, Catherine L. Chen, Catherine Chiu +9 more

Crowd-sourced machine learning prediction of long COVID using data from the National COVID Cohort Collaborative

UNC Libraries(2024)10.17615/xhdk-h129
N/A
0DataRank · unranked
0 citations

Zhijun Dai, Neelay Velingker, Emily Pfaff, Gong Chen, Bhaskar Bhattacharya +37 more

Overcoming barriers in the design and implementation of clinical trials for acute kidney injury: a report from the 2020 Kidney Disease Clinical Trialists meeting

Nephrology Dialysis Transplantation(2022)10.1093/ndt/gfac003
N/A
0DataRank · unranked
27 citations

Ravindra L. Mehta, Laura M. Dember, Juliane Bernholz, Alparslan Turan, Amit Sharma +11 more

Challenges with reinforcement learning model transportability for sepsis treatment in emergency care

npj Digital Medicine(2025)10.1038/s41746-025-01485-6
N/A
0DataRank · unranked
5 citations

Jason Kennedy, Emily Brant, Matthieu Komorowski, Romain Pirracchio, Derek C. Angus +2 more

REMAP-CAP corticosteroids: yet, another swing of the pendulum?

Intensive Care Medicine(2025)10.1007/s00134-025-07957-3
N/A
0DataRank · unranked
1 citations

Charles L. Sprung, Romain Pirracchio

Wireless wearables for postoperative surveillance on surgical wards: a survey of 1158 anaesthesiologists in Western Europe and the USA

BJA Open(2022)10.1016/j.bjao.2022.100002
N/A
0DataRank · unranked
21 citations

Robert H. Thiele, Bernd Saugel, Alexandre Joosten, Moritz Flick, Ashish K. Khanna +36 more

Hemodynamic failure during sepsis: What clinicians and researchers must know

Anaesthesia Critical Care & Pain Medicine(2025)10.1016/j.accpm.2025.101602
N/A
0DataRank · unranked
0 citations

Lene Russell, Maurizio Cecconi, Ashish K. Khanna, Romain Pirracchio, Michael Bauer +2 more

Predicting Long COVID in the National COVID Cohort Collaborative Using Super Learner

medRxiv(2023)10.1101/2023.07.27.23293272
N/A
0DataRank · unranked
3 citations

Yunwen Ji, Haodong Li, Jeremy Coyle, Junming Shi, Rachael V. Philips +7 more

Sepsis phenotypes in sub-Saharan Africa: a step toward fixing the growing scientific fracture with resource-limited settings

Intensive Care Medicine(2025)10.1007/s00134-025-08237-w
N/A
0DataRank · unranked
0 citations

Michael S. Lipnick, Romain Pirracchio, Matthieu Legrand