Matthieu Komorowski

5.8k total citations · 2 hit papers
63 papers, 2.3k citations indexed

About

Matthieu Komorowski is a scholar working on Pulmonary and Respiratory Medicine, Epidemiology and Physiology. According to data from OpenAlex, Matthieu Komorowski has authored 63 papers receiving a total of 2.3k indexed citations (citations by other indexed papers that have themselves been cited), including 20 papers in Pulmonary and Respiratory Medicine, 19 papers in Epidemiology and 16 papers in Physiology. Recurrent topics in Matthieu Komorowski's work include Sepsis Diagnosis and Treatment (17 papers), Spaceflight effects on biology (15 papers) and Machine Learning in Healthcare (13 papers). Matthieu Komorowski is often cited by papers focused on Sepsis Diagnosis and Treatment (17 papers), Spaceflight effects on biology (15 papers) and Machine Learning in Healthcare (13 papers). Matthieu Komorowski collaborates with scholars based in United Kingdom, United States and Germany. Matthieu Komorowski's co-authors include Anthony Gordon, A. Aldo Faisal, Leo Anthony Celi, Omar Badawi, Myura Nagendran, Mahiben Maruthappu, Christopher A. Lovejoy, Eric J. Topol, Gary S. Collins and Hugh Harvey and has published in prestigious journals such as Nature Medicine, PLoS ONE and American Journal of Respiratory and Critical Care Medicine.

In The Last Decade

Matthieu Komorowski

58 papers receiving 2.2k 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.

Artificial intelligence versus clinicians: systematic review of design, reporting standards, and claims of deep learning studies

2020 641 citations Myura Nagendran, Anthony Gordon et al. profile →
The Artificial Intelligence Clinician learns optimal treatment strategies for sepsis in intensive care

2018 636 citations Matthieu Komorowski, Leo Anthony Celi et al. Nature Medicine profile →

Peers

Matthieu Komorowski

EPIDE

RNMI

PRM

Jie Ma China

Karandeep Singh United States

Jenna Wiens United States

Steven Horng United States

Alvin Rajkomar United States

Johanna AAG Damen Netherlands

Jacob Calvert United States

Ritankar Das United States

Jana Hoffman United States

Kee Yuan Ngiam Singapore

Jie Ma China

Matthieu Komorowski

744 ×1.1

607 ×1.0

449 ×1.0

EPIDE

485 ×1.1

RNMI

275 ×1.0

PRM

Citations per year, relative to Matthieu Komorowski Matthieu Komorowski (= 1×) peers Jie Ma

Countries citing papers authored by Matthieu Komorowski

Since Specialization

Citations

This map shows the geographic impact of Matthieu Komorowski'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 Matthieu Komorowski with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Matthieu Komorowski more than expected).

Fields of papers citing papers by Matthieu Komorowski

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Matthieu Komorowski. 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 Matthieu Komorowski. The network helps show where Matthieu Komorowski may publish in the future.

Co-authorship network of co-authors of Matthieu Komorowski

This figure shows the co-authorship network connecting the top 25 collaborators of Matthieu Komorowski. A scholar is included among the top collaborators of Matthieu Komorowski 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 Matthieu Komorowski. Matthieu Komorowski 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

Gouy‐Pailler, Cédric, Jérôme Devaquet, Jonathan Messika, et al.. (2025). Machine Learning for Predicting Pulmonary Graft Dysfunction After Double-Lung Transplantation: A Single-Center Study Using Donor, Recipient, and Intraoperative Variables. Transplant International. 38. 14965–14965.

Nauka, Peter C., Jason Kennedy, Emily Brant, et al.. (2025). Challenges with reinforcement learning model transportability for sepsis treatment in emergency care. npj Digital Medicine. 8(1). 91–91. 1 indexed citations

Rambhatla, Sirisha, Matthieu Komorowski, Diana Ferro, et al.. (2025). Responsible adoption of multimodal artificial intelligence in health care: promises and challenges. The Lancet Digital Health. 7(12). 100917–100917.

Gao, Yang, et al.. (2025). Unpaired translation of chest X-ray images for lung opacity diagnosis via adaptive activation masks and cross-domain alignment. Pattern Recognition Letters. 193. 21–28. 1 indexed citations

Nagendran, Myura, et al.. (2025). Safety of human-AI cooperative decision-making within intensive care: A physical simulation study. PLOS Digital Health. 4(2). e0000726–e0000726. 1 indexed citations

Nagendran, Myura, et al.. (2024). Eye tracking insights into physician behaviour with safe and unsafe explainable AI recommendations. npj Digital Medicine. 7(1). 202–202. 6 indexed citations

Ni, Melody, Dan Stieper Karbing, Stephen Edward Rees, et al.. (2024). Clinical practice, decision-making, and use of clinical decision support systems in invasive mechanical ventilation: a narrative review. British Journal of Anaesthesia. 133(1). 164–177. 7 indexed citations

Komorowski, Matthieu, Antoine Rouget, Clément Delmas, et al.. (2024). A locally optimised machine learning approach to early prognostication of long-term neurological outcomes after out-of-hospital cardiac arrest. Digital Health. 10. 599878458–599878458. 1 indexed citations

Nagendran, Myura, et al.. (2023). Data-driven decision support for individualised cardiovascular resuscitation in sepsis: a scoping review and primer for clinicians. medRxiv. 2 indexed citations

10.

Nagendran, Myura, et al.. (2023). Quantifying the impact of AI recommendations with explanations on prescription decision making. npj Digital Medicine. 6(1). 206–206. 24 indexed citations

11.

Schmitz, Jan, et al.. (2022). Randomized Comparison of Two New Methods for Chest Compressions during CPR in Microgravity—A Manikin Study. Journal of Clinical Medicine. 11(3). 646–646. 4 indexed citations

12.

Komorowski, Matthieu, et al.. (2022). Sepsis biomarkers and diagnostic tools with a focus on machine learning. EBioMedicine. 86. 104394–104394. 85 indexed citations

13.

Schmitz, Jan, Matthieu Komorowski, Thaís Russomano, Oliver Ullrich, & Jochen Hinkelbein. (2022). Sixty Years of Manned Spaceflight—Incidents and Accidents Involving Astronauts between Launch and Landing. Aerospace. 9(11). 675–675. 2 indexed citations

14.

Jia, Yan, et al.. (2022). Assuring the safety of AI-based clinical decision support systems: a case study of the AI Clinician for sepsis treatment. BMJ Health & Care Informatics. 29(1). e100549–e100549. 21 indexed citations

15.

Danziger, John, Miguel Ángel Armengol de la Hoz, Wenyuan Li, et al.. (2020). Temporal Trends in Critical Care Outcomes in U.S. Minority-Serving Hospitals. American Journal of Respiratory and Critical Care Medicine. 201(6). 681–687. 45 indexed citations

16.

Komorowski, Matthieu, Leo Anthony Celi, Omar Badawi, Anthony Gordon, & A. Aldo Faisal. (2018). The Artificial Intelligence Clinician learns optimal treatment strategies for sepsis in intensive care. Nature Medicine. 24(11). 1716–1720. 636 indexed citations breakdown →

17.

Gottesman, Omer, Fredrik Johansson, Matthieu Komorowski, et al.. (2018). Guidelines for reinforcement learning in healthcare. Nature Medicine. 25(1). 16–18. 177 indexed citations

18.

Komorowski, Matthieu, et al.. (2018). Anaesthesia in austere environments: literature review and considerations for future space exploration missions. npj Microgravity. 4(1). 5–5. 20 indexed citations

19.

Hinkelbein, Jochen, H. Genzwürker, Matthieu Komorowski, et al.. (2018). In-flight cardiac arrest and in-flight cardiopulmonary resuscitation during commercial air travel: consensus statement and supplementary treatment guideline from the German Society of Aerospace Medicine (DGLRM). Internal and Emergency Medicine. 13(8). 1305–1322. 11 indexed citations

20.

Raghu, Aniruddh, Matthieu Komorowski, Leo Anthony Celi, Peter Szolovits, & Marzyeh Ghassemi. (2017). Continuous State-Space Models for Optimal Sepsis Treatment: a Deep Reinforcement Learning Approach.. 147–163. 6 indexed citations

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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