Michaël Heymann
- Endocrine and Autonomic Systems top 0.2%
- Neuroscience of respiration and sleep 34
- Pulmonary and Respiratory Medicine top 0.2%
- Neonatal Respiratory Health Research 77
- Pulmonary Hypertension Research and Treatments 24
- Obstetrics and Gynecology top 0.5%
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- Cardiovascular Conditions and Treatments 53
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- Congenital Heart Disease Studies 64
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- Formal Methods in Verification 28
- Petri Nets in System Modeling 25
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- Congenital Diaphragmatic Hernia Studies 27
- Co-authors
- Abraham M. RudolphJulien I.E. HoffmanB. PayneRonald I. ClymanZvonimir DogicStephen J. DeCampTim SanchezNorman H. Silverman
- Partner nations
- United StatesIsraelGermany
In The Last Decade
Michaël Heymann
345 papers receiving 17.0k citations
Hit Papers
Peers
Comparison fields: 5 of 203
- Endocrine and Autonomic Systems 1.7k
- Pulmonary and Respiratory Medicine 5.1k
- Obstetrics and Gynecology 1.1k
- Radiology, Nuclear Medicine and Imaging 3.0k
- Pediatrics, Perinatology and Child Health 2.5k
Countries citing papers authored by Michaël Heymann
This map shows the geographic impact of Michaël Heymann'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 Michaël Heymann with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Michaël Heymann more than expected).
Fields of papers citing papers by Michaël Heymann
This network shows the impact of papers produced by Michaël Heymann. 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 Michaël Heymann. The network helps show where Michaël Heymann may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Michaël Heymann, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2026 | 0 | |
| 2 | 2025 | 2 | |
| 3 | 2024 | 0 | |
| 4 | 2024 | 3 | |
| 5 | 2021 | 32 | |
| 6 | 2020 | 22 | |
| 7 | 2020 | 108 | |
| 8 | 2020 | 67 | |
| 9 | 2018 | 16 | |
| 10 | 2017 | 50 | |
| 11 | 2014 | 147 | |
| 12 | En Route to Signal Inversion in Chemical Computing. | 2010 | 0 |
| 13 | Generating Procedures and Recovery Sequences: a Formal Approach | 2007 | 9 |
| 14 | 1989 | 10 | |
| 15 | 1988 | 21 | |
| 16 | Physiopathologie de la transposition des gros vaisseaux. | 1984 | 0 |
| 17 | 1981 | 8 | |
| 18 | Prostaglandins in the perinatal period, their physiologic and clinical importance | 1980 | 5 |
| 19 | 1976 | 5 | |
| 20 | 1975 | 21 |
About Michaël Heymann
Michaël Heymann is a scholar working on Endocrine and Autonomic Systems, Structural Biology and Pulmonary and Respiratory Medicine, having authored 359 papers that have together received 18.3k indexed citations. Recurring topics across this work include Neonatal Respiratory Health Research (77 papers), Congenital Heart Disease Studies (64 papers), Cardiovascular Conditions and Treatments (53 papers), Neuroscience of respiration and sleep (34 papers), Formal Methods in Verification (28 papers), Congenital Diaphragmatic Hernia Studies (27 papers), Petri Nets in System Modeling (25 papers) and Pulmonary Hypertension Research and Treatments (24 papers). The work is most often cited by research in Endocrine and Autonomic Systems (1.7k citations), Pulmonary and Respiratory Medicine (5.1k citations) and Obstetrics and Gynecology (1.1k citations). Michaël Heymann has collaborated with scholars based in United States, Israel and Germany. Frequent co-authors include Abraham M. Rudolph, Julien I.E. Hoffman, B. Payne, Ronald I. Clyman, Zvonimir Dogic, Stephen J. DeCamp, Tim Sanchez, Norman H. Silverman, Scott J. Soifer and Herbert E. Cohn. Their work appears in journals such as Pediatric Research, Circulation, The Journal of Pediatrics, American Journal of Obstetrics and Gynecology and IEEE Transactions on Automatic Control.
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.