Matthew M. Churpek

11.7k citations

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

Epidemiology top 0.5%
Emergency Medicine top 0.2%
Surgery top 2%
Pulmonary and Respiratory Medicine top 2%
Artificial Intelligence top 1%

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
Topics: Sepsis Diagnosis and Treatment (79 papers)Emergency and Acute Care Studies (46 papers)Machine Learning in Healthcare (32 papers)
Cited by: Health Informatics Emergency Medicine Family Practice
Journals: JAMA Circulation Nature Medicine
Partner nations: United States Australia United Kingdom

In The Last Decade

Matthew M. Churpek

176 papers receiving 6.5k citations

Hit Papers

align trajectories

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.

Quick Sepsis-related Organ Failure Assessment, Systemic Inflammatory Response Syndrome, and Early Warning Scores for Detecting Clinical Deterioration in Infected Patients outside the Intensive Care Unit

2016 452 citations Matthew M. Churpek, Dana P. Edelson et al. American Journal of Respiratory and Critical Care Medicine profile →
Multicenter Comparison of Machine Learning Methods and Conventional Regression for Predicting Clinical Deterioration on the Wards

2016 432 citations Matthew M. Churpek, Dana P. Edelson et al. Critical Care Medicine profile →

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 of co-authors of Matthew M. Churpek

This figure shows the co-authorship network connecting the top 25 collaborators of Matthew M. Churpek. A scholar is included among the top collaborators of Matthew M. Churpek based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Matthew M. Churpek. Matthew M. Churpek is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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20 of 20 papers shown

#	Work	Indexed citations
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? 2025 ·American Journal of Respiratory and Critical Care Medicine ·Kevin P. Seitz,Alexandra B. Spicer,Kevin G. Buell,(unknown),(unknown),Bradley D. Lloyd,(unknown),(unknown),(unknown),(unknown),Wesley H. Self,Todd W. Rice,Jonathan D. Casey,Matthew M. Churpek,Matthew W. Semler,Edward T. Qian	0
2	Comparison of Multimodal Deep Learning Approaches for Predicting Clinical Deterioration in Ward Patients: Observational Cohort Study 2025 ·Journal of Medical Internet Research ·(unknown),(unknown),Kyle A. Carey,Dana P. Edelson,Dmitriy Dligach,Anoop Mayampurath,Majid Afshar,Matthew M. Churpek	1
3	Comparison of Deep Learning Approaches Using Chest Radiographs for Predicting Clinical Deterioration: Retrospective Observational Study 2025 ·PubMed ·(unknown),Jifan Gao,Kyle A. Carey,Dana P. Edelson,Abbas Aghaei Afshar,John W. Garrett,Guanhua Chen,Majid Afshar,Matthew M. Churpek	1
4	Clinical implementation of AI-based screening for risk for opioid use disorder in hospitalized adults 2025 ·Nature Medicine ·Majid Afshar,(unknown),Cara Joyce,(unknown),Dmitriy Dligach,Elizabeth S. Burnside,Anne Gravel Sullivan,Matthew M. Churpek,Brian W. Patterson,Elizabeth Salisbury‐Afshar,(unknown),(unknown),Randall Brown,Marlon P. Mundt	1
5	Toward digital twins in the intensive care unit: a medication management case study 2025 ·Journal of the American Medical Informatics Association ·(unknown),Majid Afshar,M. Samie Tootooni,Timothy A. Miller,Matthew M. Churpek,Yanjun Gao,Dmitriy Dligach	1
6	When Raw Data Prevails: Are Large Language Model Embeddings Effective in Numerical Data Representation for Medical Machine Learning Applications? 2024 ·PubMed ·Yanjun Gao,(unknown),Shan Chen,Dmitriy Dligach,Timothy A. Miller,Danielle S. Bitterman,Matthew M. Churpek,Majid Afshar	1
7	Lessons learned on information retrieval in electronic health records: a comparison of embedding models and pooling strategies 2024 ·Journal of the American Medical Informatics Association ·(unknown),Timothy A. Miller,Yanjun Gao,Matthew M. Churpek,Anoop Mayampurath,Dmitriy Dligach,Majid Afshar	0
8	Leveraging Medical Knowledge Graphs Into Large Language Models for Diagnosis Prediction: Design and Application Study 2024 ·PubMed ·Yanjun Gao,Ruizhe Li,(unknown),(unknown),Brian W. Patterson,Matthew M. Churpek,Timothy A. Miller,Dmitriy Dligach,Majid Afshar	15
9	Uncertainty estimation in diagnosis generation from large language models: next-word probability is not pre-test probability 2024 ·JAMIA Open ·Yanjun Gao,(unknown),Shan Chen,Dmitriy Dligach,Timothy A. Miller,Danielle S. Bitterman,Guanhua Chen,Anoop Mayampurath,Matthew M. Churpek,Majid Afshar	3
10	Automated stratification of trauma injury severity across multiple body regions using multi-modal, multi-class machine learning models 2024 ·Journal of the American Medical Informatics Association ·Jifan Gao,Guanhua Chen,Ann P. O’Rourke,(unknown),Kyle A. Carey,(unknown),Anne M. Stey,Dmitriy Dligach,Timothy A. Miller,Anoop Mayampurath,Matthew M. Churpek,Majid Afshar	2
11	Development and external validation of multimodal postoperative acute kidney injury risk machine learning models 2023 ·JAMIA Open ·(unknown),Jay L. Koyner,(unknown),Alexandra B. Spicer,Kyle A. Carey,Emily Gilbert,Dmitriy Dligach,Anoop Mayampurath,Majid Afshar,Matthew M. Churpek	6
12	Creation of a data commons for substance misuse related health research through privacy-preserving patient record linkage between hospitals and state agencies 2023 ·JAMIA Open ·Majid Afshar,(unknown),(unknown),(unknown),(unknown),(unknown),Askar Safipour Afshar,Joseph Cavanaugh,Matthew M. Churpek,(unknown),(unknown),Ryan P. Westergaard,Elizabeth Salisbury‐Afshar,(unknown),Brian W. Patterson,(unknown),Jomol Mathew,Anoop Mayampurath	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 2023 ·JMIR Medical Informatics ·Majid Afshar,(unknown),(unknown),Marlon P. Mundt,(unknown),(unknown),(unknown),(unknown),(unknown),(unknown),Randall Brown,Cara Joyce,Brihat Sharma,Dmitriy Dligach,Elizabeth S. Burnside,Jane Mahoney,Matthew M. Churpek,Brian W. Patterson,(unknown)	14
14	DR.BENCH: Diagnostic Reasoning Benchmark for Clinical Natural Language Processing 2023 ·Journal of Biomedical Informatics ·Yanjun Gao,Dmitriy Dligach,Timothy A. Miller,(unknown),Brihat Sharma,Matthew M. Churpek,Majid Afshar	12
15	Predicting neurological outcomes after in-hospital cardiac arrests for patients with Coronavirus Disease 2019 2022 ·Resuscitation ·Anoop Mayampurath,(unknown),(unknown),Laura Ruth Venable,Kyle A. Carey,Dana P. Edelson,Matthew M. Churpek	4
16	A scoping review of publicly available language tasks in clinical natural language processing 2022 ·Journal of the American Medical Informatics Association ·Yanjun Gao,Dmitriy Dligach,Leslie Christensen,(unknown),(unknown),Dongfang Xu,Timothy A. Miller,Özlem Uzuner,Matthew M. Churpek,Majid Afshar	12
17	Temperature Trajectory Subphenotypes in Oncology Patients with Neutropenia and Suspected Infection 2022 ·American Journal of Respiratory and Critical Care Medicine ·Nicole Benzoni,Kyle A. Carey,(unknown),(unknown),Brian M. Fuller,Dana P. Edelson,Matthew M. Churpek,Sivasubramanium V. Bhavani,Patrick G. Lyons	5
18	Hospital-Level Variation in Death for Critically Ill Patients with COVID-19 2021 ·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	30
19	Temperature Trajectory Subphenotypes Correlate With Immune Responses in Patients With Sepsis 2020 ·Critical Care Medicine ·Sivasubramanium V. Bhavani,K.S. Wolfe,Cara L. Hrusch,Jared A. Greenberg,Paulette A. Krishack,Julie Lin,(unknown),Kyle A. Carey,John P. Kress,Craig M. Coopersmith,Anne I. Sperling,Philip A. Verhoef,Matthew M. Churpek,Bhakti K. Patel	37
20	Age-dependent trends in survival after adult in-hospital cardiac arrest 2020 ·Resuscitation ·Sebastian Wiberg,Mathias J. Holmberg,Michael W. Donnino,Jesper Kjærgaard,Christian Hassager,(unknown),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	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) and Machine Learning in Healthcare (32 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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