Mathieu Delorme
Impact in
- Modeling and Simulation top 5%
- Fractional Differential Equations Solutions
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- Respiratory Support and Mechanisms
- Chronic Obstructive Pulmonary Disease (COPD) Research
Papers in
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- Respiratory Support and Mechanisms 14
- Chronic Obstructive Pulmonary Disease (COPD) Research 5
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- Fractional Differential Equations Solutions 4
- Co-authors
- Kay Jörg Wiese (6 shared papers)François Lellouche (5 shared papers)Serge Simard (3 shared papers)Pierre-Alexandre Bouchard (3 shared papers)Mathieu Simon (2 shared papers)Tridib Sadhu (1 shared paper)Laurent Jean Brochard (1 shared paper)Fabien Beaufils (1 shared paper)
In The Last Decade
Mathieu Delorme
24 papers receiving 458 citations
Peers
Comparison fields: 5 of 49
- Modeling and Simulation 68
- Pulmonary and Respiratory Medicine 240
- Mathematical Physics 69
- Statistical and Nonlinear Physics 59
- Neurology 45
Countries citing papers authored by Mathieu Delorme
This map shows the geographic impact of Mathieu Delorme'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 Mathieu Delorme with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Mathieu Delorme more than expected).
Fields of papers citing papers by Mathieu Delorme
This network shows the impact of papers produced by Mathieu Delorme. 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 Mathieu Delorme. The network helps show where Mathieu Delorme may publish in the future.
Co-authors
The 25 scholars most cited alongside Mathieu Delorme, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 26 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2017 | 121 | |
| 2 | 2021 | 53 | |
| 3 | 2018 | 49 | |
| 4 | 2016 | 34 | |
| 5 | 2015 | 31 | |
| 6 | 2015 | 29 | |
| 7 | 2020 | 27 | |
| 8 | 2016 | 24 | |
| 9 | 2020 | 16 | |
| 10 | 2017 | 10 | |
| 11 | 2021 | 10 | |
| 12 | 2016 | 8 | |
| 13 | 2021 | 8 | |
| 14 | 2022 | 8 | |
| 15 | 2023 | 7 | |
| 16 | 2021 | 6 | |
| 17 | 2023 | 6 | |
| 18 | 2021 | 5 | |
| 19 | 2022 | 4 | |
| 20 | 2022 | 3 |
About Mathieu Delorme
Mathieu Delorme is a scholar working on Pulmonary and Respiratory Medicine, Modeling and Simulation, Statistical and Nonlinear Physics, Economics and Econometrics and Pharmacy, having authored 26 papers that have together received 465 indexed citations. Recurring topics across this work include Respiratory Support and Mechanisms (14 papers), Chronic Obstructive Pulmonary Disease (COPD) Research (5 papers), Complex Systems and Time Series Analysis (4 papers), Fractional Differential Equations Solutions (4 papers), Statistical Mechanics and Entropy (4 papers), Obstructive Sleep Apnea Research (2 papers), Long-Term Effects of COVID-19 (1 paper) and Stochastic processes and statistical mechanics (1 paper). The work is most often cited by research in Modeling and Simulation (68 citations), Pulmonary and Respiratory Medicine (240 citations), Mathematical Physics (69 citations), Statistical and Nonlinear Physics (59 citations) and Neurology (45 citations). Mathieu Delorme has collaborated with scholars based in France, Canada and Belgium. Frequent co-authors include Kay Jörg Wiese, François Lellouche, Serge Simard, Pierre-Alexandre Bouchard, Mathieu Simon, Tridib Sadhu, Laurent Jean Brochard, Fabien Beaufils, Pauline Henrot and Jean S. Bussières. Their work appears in journals such as Respiratory Care, Physical review. E, Physical Review Letters, Thorax and Respiratory 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.