Marc Heimann
Impact in
- Health Informatics top 5%
- Artificial Intelligence in Healthcare and Education
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- Artificial Intelligence in Healthcare
Papers in
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- Phenomenology and Existential Philosophy 2
- Language, Metaphor, and Cognition 2
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- Psychoanalysis, Philosophy, and Politics 3
- Co-authors
- Søren Brunak (3 shared papers)Anders Perner (3 shared papers)Anna Pors Nielsen (3 shared papers)Hans‐Christian Thorsen‐Meyer (3 shared papers)Annelaura Bach Nielsen (3 shared papers)Piotr Jaroslaw Chmura (3 shared papers)Kirstine Belling (3 shared papers)Palle Toft (2 shared papers)
In The Last Decade
Marc Heimann
11 papers receiving 316 citations
Marc Heimann's Hit Papers
Peers
Comparison fields: 5 of 80
- Health Informatics 25
- Health Information Management 29
- Artificial Intelligence 105
- Epidemiology 87
- Family Practice 4
Countries citing papers authored by Marc Heimann
This map shows the geographic impact of Marc Heimann'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 Marc Heimann with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Marc Heimann more than expected).
Fields of papers citing papers by Marc Heimann
This network shows the impact of papers produced by Marc Heimann. 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 Marc Heimann. The network helps show where Marc Heimann may publish in the future.
Co-authors
The 20 scholars most cited alongside Marc Heimann, 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 | Dynamic and explainable machine learning prediction of mortality in patients in the intensive care unit: a retrospective study of high-frequency data in electronic patient records Hit paper breakdown → | 2020 | 206 |
| 2 | 2019 | 70 | |
| 3 | 2022 | 18 | |
| 4 | 2018 | 7 | |
| 5 | 2023 | 6 | |
| 6 | 2024 | 5 | |
| 7 | 2021 | 3 | |
| 8 | 2022 | 2 | |
| 9 | 2024 | 1 | |
| 10 | 2023 | 1 | |
| 11 | 2025 | 1 |
About Marc Heimann
Marc Heimann is a scholar working on Experimental and Cognitive Psychology, Clinical Psychology, Epidemiology, Surgery and Artificial Intelligence, having authored 11 papers that have together received 320 indexed citations. Recurring topics across this work include Psychoanalysis, Philosophy, and Politics (3 papers), Sepsis Diagnosis and Treatment (3 papers), Digital Media and Philosophy (2 papers), Phenomenology and Existential Philosophy (2 papers), Language, Metaphor, and Cognition (2 papers), Cardiac Imaging and Diagnostics (1 paper), Digital Education and Society (1 paper) and Language and cultural evolution (1 paper). The work is most often cited by research in Health Informatics (25 citations), Health Information Management (29 citations), Artificial Intelligence (105 citations), Epidemiology (87 citations) and Family Practice (4 citations). Marc Heimann has collaborated with scholars based in Germany and Denmark. Frequent co-authors include Søren Brunak, Anders Perner, Anna Pors Nielsen, Hans‐Christian Thorsen‐Meyer, Annelaura Bach Nielsen, Piotr Jaroslaw Chmura, Kirstine Belling, Palle Toft, Benjamin Skov Kaas‐Hansen and Jens Schierbeck. Their work appears in journals such as The Lancet Digital Health, Psychoanalysis Culture & Society, npj Digital Medicine, Cognitive Systems Research and AI & Society.
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.