Matthew M. Churpek

11.7k citations

188 papers · 6.6k indexed · 2 hit papers · h-index 43

Health Informatics top 0.2%
Emergency Medicine top 0.2%
- Emergency and Acute Care Studies 46
- Cardiac Arrest and Resuscitation 32
Family Practice top 0.5%
Critical Care and Intensive Care Medicine top 0.5%
Epidemiology top 0.5%
- Sepsis Diagnosis and Treatment 79
Artificial Intelligence
- Machine Learning in Healthcare 32
Surgery
- Transplantation: Methods and Outcomes 14
- Hemodynamic Monitoring and Therapy 13
Pulmonary and Respiratory Medicine
- Respiratory Support and Mechanisms 13
- Chronic Obstructive Pulmonary Disease (COPD) Research 13

Co-authors: Dana P. Edelson Trevor C. Yuen Christopher Winslow Kyle A. Carey Michael D. Howell Ashley Snyder L. Nelson Sanchez‐Pinto David O. Meltzer
Cited by: Health Informatics Emergency Medicine Family Practice
Journals: JAMA (3 papers)Circulation (1 paper)Nature Medicine (1 paper)
Partner nations: United States Australia United Kingdom

In The Last Decade

Matthew M. Churpek

176 papers receiving 6.5k citations

Hit Papers

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What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

2016 Critical Care Medicine
2016 American Journal of Respiratory and Critical Care Medicine

Peers

Countries citing papers authored by Matthew M. Churpek

Since Specialization

Citations

This map shows the geographic impact of Matthew M. Churpek's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Matthew M. Churpek with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Matthew M. Churpek more than expected).

Fields of papers citing papers by Matthew M. Churpek

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Matthew M. Churpek. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Matthew M. Churpek. The network helps show where Matthew M. Churpek may publish in the future.

Co-authorship network

The 25 scholars most cited alongside Matthew M. Churpek, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Matthew M. Churpek Line = papers co-authored together Matthew M. Churpek links everyone, so they are left out of the graph.

All Works

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20 of 20 papers shown

#	Work
1	How Do the Oxygen Saturation Values That Mechanically Ventilated ICU Patients Experience in Clinical Care Compare to the Personalized Targets That a Machine Learning Model Predicts Will Result in the Best Outcomes? American Journal of Respiratory and Critical Care Medicine ·Kevin P. Seitz,Alexandra B. Spicer,Kevin G. Buell,L. Wang,Emma J. Graham Linck,Bradley D. Lloyd,K. Gray,B. Decoursey,D.J. Krasinski,E M Talbot,Wesley H. Self,Todd W. Rice,Jonathan D. Casey,Matthew M. Churpek,Matthew W. Semler,Edward T. Qian	2025	0
2	Comparison of Multimodal Deep Learning Approaches for Predicting Clinical Deterioration in Ward Patients: Observational Cohort Study Journal of Medical Internet Research ·Charles A Kotula,Jennie Martin,Kyle A. Carey,Dana P. Edelson,Dmitriy Dligach,Anoop Mayampurath,Majid Afshar,Matthew M. Churpek	2025	1
3	Comparison of Deep Learning Approaches Using Chest Radiographs for Predicting Clinical Deterioration: Retrospective Observational Study PubMed ·Md Mahmudur Rahman,Jifan Gao,Kyle A. Carey,Dana P. Edelson,Abbas Aghaei Afshar,John W. Garrett,Guanhua Chen,Majid Afshar,Matthew M. Churpek	2025	1
4	Clinical implementation of AI-based screening for risk for opioid use disorder in hospitalized adults Nature Medicine ·Majid Afshar,Felice Resnik,Cara Joyce,Madeline Oguss,Dmitriy Dligach,Elizabeth S. Burnside,Anne Gravel Sullivan,Matthew M. Churpek,Brian W. Patterson,Elizabeth Salisbury‐Afshar,Frank Liao,Cherodeep Goswami,Randall Brown,Marlon P. Mundt	2025	1
5	Toward digital twins in the intensive care unit: a medication management case study Journal of the American Medical Informatics Association ·Behnaz Eslami,Majid Afshar,M. Samie Tootooni,Timothy A. Miller,Matthew M. Churpek,Yanjun Gao,Dmitriy Dligach	2025	1
6	When Raw Data Prevails: Are Large Language Model Embeddings Effective in Numerical Data Representation for Medical Machine Learning Applications? PubMed ·Yanjun Gao,Skatje Myers,Shan Chen,Dmitriy Dligach,Timothy A. Miller,Danielle S. Bitterman,Matthew M. Churpek,Majid Afshar	2024	1
7	Lessons learned on information retrieval in electronic health records: a comparison of embedding models and pooling strategies Journal of the American Medical Informatics Association ·Skatje Myers,Timothy A. Miller,Yanjun Gao,Matthew M. Churpek,Anoop Mayampurath,Dmitriy Dligach,Majid Afshar	2024	0
8	Leveraging Medical Knowledge Graphs Into Large Language Models for Diagnosis Prediction: Design and Application Study PubMed ·Yanjun Gao,Ruizhe Li,Emma Croxford,John Caskey,Brian W. Patterson,Matthew M. Churpek,Timothy A. Miller,Dmitriy Dligach,Majid Afshar	2024	15
9	Uncertainty estimation in diagnosis generation from large language models: next-word probability is not pre-test probability JAMIA Open ·Yanjun Gao,Skatje Myers,Shan Chen,Dmitriy Dligach,Timothy A. Miller,Danielle S. Bitterman,Guanhua Chen,Anoop Mayampurath,Matthew M. Churpek,Majid Afshar	2024	3
10	Automated stratification of trauma injury severity across multiple body regions using multi-modal, multi-class machine learning models Journal of the American Medical Informatics Association ·Jifan Gao,Guanhua Chen,Ann P. O’Rourke,John Caskey,Kyle A. Carey,Madeline Oguss,Anne M. Stey,Dmitriy Dligach,Timothy A. Miller,Anoop Mayampurath,Matthew M. Churpek,Majid Afshar	2024	2
11	Development and external validation of multimodal postoperative acute kidney injury risk machine learning models JAMIA Open ·George Karway,Jay L. Koyner,John Caskey,Alexandra B. Spicer,Kyle A. Carey,Emily Gilbert,Dmitriy Dligach,Anoop Mayampurath,Majid Afshar,Matthew M. Churpek	2023	6
12	Creation of a data commons for substance misuse related health research through privacy-preserving patient record linkage between hospitals and state agencies JAMIA Open ·Majid Afshar,Madeline Oguss,Thomas Callaci,Timothy Gruenloh,Preeti Gupta,Claire Sun,Askar Safipour Afshar,Joseph Cavanaugh,Matthew M. Churpek,Edwin E Nyakoe-Nyasani,Huong Nguyen-Hilfiger,Ryan P. Westergaard,Elizabeth Salisbury‐Afshar,Megan Gussick,Brian W. Patterson,Claire Manneh,Jomol Mathew,Anoop Mayampurath	2023	4
13	Deployment of Real-time Natural Language Processing and Deep Learning Clinical Decision Support in the Electronic Health Record: Pipeline Implementation for an Opioid Misuse Screener in Hospitalized Adults JMIR Medical Informatics ·Majid Afshar,Sabrina Adelaine,Felice Resnik,Marlon P. Mundt,John Long,Margaret Leaf,Theodore Ampian,Graham Wills,Benjamin Schnapp,Michael Chao,Randall Brown,Cara Joyce,Brihat Sharma,Dmitriy Dligach,Elizabeth S. Burnside,Jane Mahoney,Matthew M. Churpek,Brian W. Patterson,Frank Liao	2023	14
14	DR.BENCH: Diagnostic Reasoning Benchmark for Clinical Natural Language Processing Journal of Biomedical Informatics ·Yanjun Gao,Dmitriy Dligach,Timothy A. Miller,John Caskey,Brihat Sharma,Matthew M. Churpek,Majid Afshar	2023	12
15	Predicting neurological outcomes after in-hospital cardiac arrests for patients with Coronavirus Disease 2019 Resuscitation ·Anoop Mayampurath,Fereshteh S. Bashiri,Raffi Hagopian,Laura Ruth Venable,Kyle A. Carey,Dana P. Edelson,Matthew M. Churpek	2022	4
16	A scoping review of publicly available language tasks in clinical natural language processing Journal of the American Medical Informatics Association ·Yanjun Gao,Dmitriy Dligach,Leslie Christensen,Samuel Tesch,Ryan Laffin,Dongfang Xu,Timothy A. Miller,Özlem Uzuner,Matthew M. Churpek,Majid Afshar	2022	12
17	Temperature Trajectory Subphenotypes in Oncology Patients with Neutropenia and Suspected Infection American Journal of Respiratory and Critical Care Medicine ·Nicole Benzoni,Kyle A. Carey,Alice F. Bewley,Jeff Klaus,Brian M. Fuller,Dana P. Edelson,Matthew M. Churpek,Sivasubramanium V. Bhavani,Patrick G. Lyons	2022	5
18	Hospital-Level Variation in Death for Critically Ill Patients with COVID-19 American Journal of Respiratory and Critical Care Medicine ·Matthew M. Churpek,Shruti Gupta,Alexandra B. Spicer,William F. Parker,John Fahrenbach,Samantha K. Brenner,David E. Leaf	2021	30
19	Temperature Trajectory Subphenotypes Correlate With Immune Responses in Patients With Sepsis Critical Care Medicine ·Sivasubramanium V. Bhavani,K.S. Wolfe,Cara L. Hrusch,Jared A. Greenberg,Paulette A. Krishack,Julie Lin,P.A. Lecompte-Osorio,Kyle A. Carey,John P. Kress,Craig M. Coopersmith,Anne I. Sperling,Philip A. Verhoef,Matthew M. Churpek,Bhakti K. Patel	2020	37
20	Age-dependent trends in survival after adult in-hospital cardiac arrest Resuscitation ·Sebastian Wiberg,Mathias J. Holmberg,Michael W. Donnino,Jesper Kjærgaard,Christian Hassager,Lise Witten,Katherine M. Berg,Ari Moskowitz,Lars W. Andersen,Anne V. Grossestreuer,Dana P. Edelson,Joseph P. Ornato,Mary Ann Peberdy,Matthew M. Churpek,Michael C. Kurz,Monique A. Starks,Paul S. Chan,Saket Girotra,Sarah Perman,Zachary D. Goldberger	2020	21

About Matthew M. Churpek

Matthew M. Churpek is a scholar working on Emergency Medicine, Family Practice and Critical Care and Intensive Care Medicine, having authored 188 papers that have together received 6.6k indexed citations. Recurring topics across this work include Sepsis Diagnosis and Treatment (79 papers), Emergency and Acute Care Studies (46 papers), Machine Learning in Healthcare (32 papers), Cardiac Arrest and Resuscitation (32 papers), Transplantation: Methods and Outcomes (14 papers), Respiratory Support and Mechanisms (13 papers), Chronic Obstructive Pulmonary Disease (COPD) Research (13 papers) and Hemodynamic Monitoring and Therapy (13 papers). The work is most often cited by research in Health Informatics (362 citations), Emergency Medicine (1.7k citations) and Family Practice (344 citations). Matthew M. Churpek has collaborated with scholars based in United States, Australia and United Kingdom. Frequent co-authors include Dana P. Edelson, Trevor C. Yuen, Christopher Winslow, Kyle A. Carey, Michael D. Howell, Ashley Snyder, L. Nelson Sanchez‐Pinto, David O. Meltzer, Richa Adhikari and Sarah Sokol. Their work appears in journals such as JAMA, Circulation and Nature Medicine.

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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