Gilles Clermont

Also affiliated with VA Pittsburgh Healthcare System

MedicineComputer ScienceImmunology and Microbiology

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 →

Papers

Driven by 33 papers. Top paper: “Use of artificial intelligence in critical care: opportunities and obstacles”.

Use of artificial intelligence in critical care: opportunities and obstacles

Critical Care(2024)10.1186/s13054-024-04860-z

N/A

2.5DataRank · unranked

138 citations

Armando Bedoya, Azra Bihorac, Leo Anthony Celi, Matthew M. Churpek, Nicoleta Economou-Zavlanos +9 more

Bridging the gap between systems biology and medicine

Genome Medicine(2009)10.1186/gm88

N/A

2.4DataRank · unranked

93 citations

Charles Auffray, Yves Moreau, David M Rocke, Daniel Dalevi, Devdatt Dubhashi +9 more

Epidemiology of severe sepsis in the United States: Analysis of incidence, outcome, and associated costs of care

Critical Care Medicine(2001)10.1097/00003246-200107000-00002

N/A

1.4DataRank · unranked

8577 citations

Walter T. Linde-Zwirble, Jeffrey Lidicker, Gilles Clermont, Joseph Carcillo, Michael R. Pinsky +3 more

A Research Agenda for Precision Medicine in Sepsis and Acute Respiratory Distress Syndrome: An Official American Thoracic Society Research Statement

American Journal of Respiratory and Critical Care Medicine(2021)10.1164/rccm.202108-1908st

N/A

0.668DataRank · unranked

85 citations

Nuala J. Meyer, Derek C. Angus, Rana Awdish, Élie Azoulay, Carolyn S. Calfee +12 more

Leveraging Eye Tracking to Prioritize Relevant Medical Record Data: Comparative Machine Learning Study

Journal of Medical Internet Research(2020)10.2196/15876

N/A

0DataRank · unranked

30 citations

Gregory F. Cooper, Gilles Clermont, Harry Hochheiser, Miloš Hauskrecht, Dean F. Sittig +2 more

Evaluation of Eye-tracking for a Decision Support Application

medRxiv(2020)10.1101/2020.10.19.20215087

N/A

0DataRank · unranked

1 citations

Andrew J. King, Mohammadamin Tajgardoon, Luca Calzoni, Gilles Clermont, Harry Hochheiser +2 more

A Simple Electronic Medical Record System Designed for Research

medRxiv(2020)10.1101/2020.10.25.20219287

N/A

0DataRank · unranked

0 citations

Luca Calzoni, Mohammadamin Tajgardoon, Gregory F. Cooper, Gilles Clermont, Harry Hochheiser +2 more

Dynamic Modelling of Obstetric Patient Coagulation from Kaolin-Activated Thromboelastogram Data

IFAC-PapersOnLine(2020)10.1016/j.ifacol.2020.12.656

N/A

0DataRank · unranked

0 citations

Michelle A. Pressly, Gilles Clermont, Jonathan H. Waters, Robert S. Parker, Kieran P. Fitzmaurice

Sharing ICU Patient Data Responsibly Under the Society of Critical Care Medicine/European Society of Intensive Care Medicine Joint Data Science Collaboration: The Amsterdam University Medical Centers Database (AmsterdamUMCdb) Example*

Critical Care Medicine(2021)10.1097/ccm.0000000000004916

N/A

0DataRank · unranked

265 citations

Jan M. Peppink, Ronald H. Driessen, Eric J.G. Sijbrands, Erwin J. O. Kompanje, Lewis J. Kaplan +10 more

Association between Net Ultrafiltration Rate and Renal Recovery among Critically Ill Adults with Acute Kidney Injury Receiving Continuous Renal Replacement Therapy: An Observational Cohort Study

Blood Purification(2021)10.1159/000517281

N/A

0DataRank · unranked

40 citations

Samantha J. Kerti, Chung‐Chou H. Chang, Martin Gallagher, Ary Serpa Neto, Gilles Clermont +5 more

Engaging clinicians early during the development of a graphical user display of an intelligent alerting system at the bedside

International Journal of Medical Informatics(2021)10.1016/j.ijmedinf.2021.104643

N/A

0DataRank · unranked

29 citations

Martha Ann Terry, Tiffany Pellathy, Andrew Williams, Artur Dubrawski, Gilles Clermont +4 more

Identification of Endotypes of Hospitalized COVID-19 Patients

Frontiers in Medicine(2021)10.3389/fmed.2021.770343

N/A

0DataRank · unranked

22 citations

Murad Megjhani, Kalijah Terilli, Kevin Doyle, Jan Claassen, Michael R. Pinsky +5 more

A simple electronic medical record system designed for research

JAMIA Open(2021)10.1093/jamiaopen/ooab040

N/A

0DataRank · unranked

3 citations

Luca Calzoni, Mohammadamin Tajgardoon, Gregory F. Cooper, Gilles Clermont, Harry Hochheiser +2 more

Identification of Clinical Phenotypes in Septic Patients Presenting With Hypotension or Elevated Lactate

Frontiers in Medicine(2022)10.3389/fmed.2022.794423

N/A

0DataRank · unranked

25 citations

Li Ang Zhang, Alisa Urbano, Robert S. Parker, David Swigon, Ipsita Banerjee +3 more

Continuous ECG monitoring should be the heart of bedside AI-based predictive analytics monitoring for early detection of clinical deterioration

Journal of Electrocardiology(2022)10.1016/j.jelectrocard.2022.10.011

N/A

0DataRank · unranked

13 citations

Christopher C. Moore, Brynne A. Sullivan, Jessica Keim‐Malpass, Karen D. Fairchild, Tyler J. Loftus +7 more

Neurocritical Care Performance Measures Derived from Electronic Health Record Data are Feasible and Reveal Site-Specific Variation: A CHoRUS Pilot Project

Neurocritical Care(2022)10.1007/s12028-022-01497-0

N/A

0DataRank · unranked

7 citations

Shamelia Y. Loiseau, Guneeti Sharma, Joshua N. Goldstein, India A. Lissak, Sarah Duffy +10 more

Machine learning for ECG diagnosis and risk stratification of occlusion myocardial infarction

Nature Medicine(2023)10.1038/s41591-023-02396-3

N/A

0DataRank · unranked

273 citations

Christian Martin‐Gill, Jessica K. Zègre‐Hemsey, Zeineb Bouzid, Ziad Faramand, Mohammad Alrawashdeh +14 more

Engaging Multidisciplinary Clinical Users in the Design of an Artificial Intelligence–Powered Graphical User Interface for Intensive Care Unit Instability Decision Support

Applied Clinical Informatics(2023)10.1055/s-0043-1775565

N/A

0DataRank · unranked

16 citations

Martha Ann Terry, Tiffany Pellathy, Marilyn Hravnak, Elisabeth George, Salah S. Al‐Zaiti +2 more

Forecasting imminent atrial fibrillation in long-term electrocardiogram recordings

Journal of Electrocardiology(2023)10.1016/j.jelectrocard.2023.08.011

N/A

0DataRank · unranked

9 citations

Roman Kaufman, Raghavan Murugan, Kianoush Kashani, Michael R. Pinsky, Salah S. Al‐Zaiti +4 more

Forecasting algorithms in the ICU

Journal of Electrocardiology(2023)10.1016/j.jelectrocard.2023.09.015

N/A

0DataRank · unranked

4 citations

Gilles Clermont, Sydney Rooney

The Learning Electronic Health Record

Critical Care Clinics(2023)10.1016/j.ccc.2023.03.004

N/A

0DataRank · unranked

6 citations

Gilles Clermont

Machine Learning for the ECG Diagnosis and Risk Stratification of Occlusion Myocardial Infarction at First Medical Contact

Research Square(2023)10.21203/rs.3.rs-2510930/v1

N/A

0DataRank · unranked

4 citations

Christian Martin‐Gill, Jessica K. Zègre‐Hemsey, Zeineb Bouzid, Ziad Faramand, Mohammad Alrawashdeh +14 more

Parsimonious waveform-derived features consisting of pulse arrival time and heart rate variability predicts the onset of septic shock

Biomedical Signal Processing and Control(2024)10.1016/j.bspc.2024.105974

N/A

0DataRank · unranked

8 citations

Curtis Marshall, Jacob Kimball, Tilendra Choudhary, Gilles Clermont, Michael R. Pinsky +5 more

Evaluation of General Large Language Models in Contextually Assessing Semantic Concepts Extracted from Adult Critical Care Electronic Health Record Notes

arXiv (Cornell University)(2024)10.48550/arxiv.2401.13588

N/A

0DataRank · unranked

1 citations

Cheng Ding, Delgersuren Bold, Monique Bouvier, Jiaying Lu, Benjamin Shickel +14 more

Early Physiologic Numerical and Waveform Characteristics of Simulated Hemorrhagic Events With Healthy Volunteers Donating Blood

Critical Care Explorations(2024)10.1097/cce.0000000000001073

N/A

0DataRank · unranked

0 citations

Ju-Eun Kim, Theodore Lagattuta, Michael R. Pinsky, Marilyn Hravnak, Gilles Clermont +1 more

Electrocardiogram-based machine learning for risk stratification of patients with suspected acute coronary syndrome

European Heart Journal(2025)10.1093/eurheartj/ehae880

N/A

0DataRank · unranked

17 citations

Ervin Sejdić, Christian Martin‐Gill, Ziad Faramand, Stephanie Frisch, Mohammad Alrawashdeh +13 more

A Machine Learning Trauma Triage Model for Critical Care Transport

JAMA Network Open(2025)10.1001/jamanetworkopen.2025.9639

N/A

0DataRank · unranked

17 citations

Salim Malakouti, David D. Salcido, Chase Zikmund, Ravi M. Patel, Leonard Weiss +7 more

How much information is needed to predict outcomes after cardiac arrest?

Resuscitation(2025)10.1016/j.resuscitation.2025.110775

N/A

0DataRank · unranked

2 citations

Jieshi Chen, Abigail Norris Turner, Brad Shook, Sara DiFiore-Sprouse, Clifton W. Callaway +3 more

Adversarial Debiasing for Equitable and Fair Detection of Acute Coronary Syndrome Using 12-Lead ECG

IEEE Transactions on Biomedical Engineering(2025)10.1109/tbme.2025.3597527

N/A

0DataRank · unranked

0 citations

Nathan T. Riek, Zeineb Bouzid, Karina Kraevsky-Phillips, Tanmay Gokhale, Jessica K. Zègre‐Hemsey +8 more

Machine learning for ECG diagnosis and risk stratification of occlusion myocardial infarction

UNC Libraries(2025)10.17615/8pan-gb72

N/A

0DataRank · unranked

0 citations

Zeineb Bouzid, Karina Kraevsky-Phillips, Ziad Faramand, Mohammad Alrawashdeh, Jessica K. Zègre‐Hemsey +14 more

Prediction of hypotension events with physiologic vital sign signatures in the intensive care unit

Critical Care(2020)10.1186/s13054-020-03379-3

N/A

0DataRank · unranked

53 citations

Vincent Jeanselme, Artur Dubrawski, Marilyn Hravnak, Michael R. Pinsky, Gilles Clermont +1 more

Graphical Presentations of Clinical Data in a Learning Electronic Medical Record

Applied Clinical Informatics(2020)10.1055/s-0040-1709707

N/A

0DataRank · unranked

13 citations

Gilles Clermont, Gregory F. Cooper, Shyam Visweswaran, Harry Hochheiser, Luca Calzoni

Development of hemorrhage identification model using non-invasive vital signs

Physiological Measurement(2020)10.1088/1361-6579/ab8cb2

N/A

0DataRank · unranked

10 citations

Joo Heung Yoon, Michael R. Pinsky, Ting Ma, Gilles Clermont, Yang Chen