Ivan Lerner
Impact in
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- Cardiac Arrest and Resuscitation
Papers in
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- Biomedical Text Mining and Ontologies 4
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- Natural Language Processing Techniques 2
- Topic Modeling 2
- AI in cancer detection 1
- Co-authors
- Nicolás Paris (3 shared papers)Anita Burgun (4 shared papers)Antoine Neuraz (7 shared papers)Bastien Rance (6 shared papers)Jean‐Philippe Empana (2 shared papers)Xavier Jouven (2 shared papers)Éloi Marijon (2 shared papers)Xavier Tannier (1 shared paper)
- Journals
- Bioinformatics (1 paper)Arteriosclerosis Thrombosis and Vascular Biology (1 paper)Journal of Medical Internet Research (1 paper)Journal of the American College of Cardiology (1 paper)Intensive Care Medicine (1 paper)
- Partner nations
- FranceUnited StatesNetherlands
In The Last Decade
Ivan Lerner
12 papers receiving 259 citations
Ivan Lerner's Hit Papers
Peers
Comparison fields: 5 of 60
- Health Informatics 6
- Emergency Medicine 34
- Cardiology and Cardiovascular Medicine 47
- Applied Psychology 9
- Critical Care and Intensive Care Medicine 8
Countries citing papers authored by Ivan Lerner
This map shows the geographic impact of Ivan Lerner'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 Ivan Lerner with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ivan Lerner more than expected).
Fields of papers citing papers by Ivan Lerner
This network shows the impact of papers produced by Ivan Lerner. 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 Ivan Lerner. The network helps show where Ivan Lerner may publish in the future.
Co-authors
The 25 scholars most cited alongside Ivan Lerner, 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 | Incidence of Sudden Cardiac Death in the European Union Hit paper breakdown → | 2022 | 101 |
| 2 | 2020 | 53 | |
| 3 | 2019 | 25 | |
| 4 | 2021 | 20 | |
| 5 | 2022 | 19 | |
| 6 | 2018 | 19 | |
| 7 | 2022 | 11 | |
| 8 | 2022 | 8 | |
| 9 | 2022 | 2 | |
| 10 | 2024 | 1 | |
| 11 | 2024 | 1 | |
| 12 | 2024 | 1 | |
| 13 | 2020 | 0 |
About Ivan Lerner
Ivan Lerner is a scholar working on Molecular Biology, Artificial Intelligence, Infectious Diseases, Neurology and Cardiology and Cardiovascular Medicine, having authored 13 papers that have together received 261 indexed citations. Recurring topics across this work include Biomedical Text Mining and Ontologies (4 papers), Natural Language Processing Techniques (2 papers), Topic Modeling (2 papers), COVID-19 Clinical Research Studies (1 paper), Long-Term Effects of COVID-19 (1 paper), Cardiac Arrest and Resuscitation (1 paper), Acute Myocardial Infarction Research (1 paper) and AI in cancer detection (1 paper). The work is most often cited by research in Health Informatics (6 citations), Emergency Medicine (34 citations), Cardiology and Cardiovascular Medicine (47 citations), Applied Psychology (9 citations) and Critical Care and Intensive Care Medicine (8 citations). Ivan Lerner has collaborated with scholars based in France, United States and Netherlands. Frequent co-authors include Nicolás Paris, Anita Burgun, Antoine Neuraz, Bastien Rance, Jean‐Philippe Empana, Xavier Jouven, Éloi Marijon, Xavier Tannier, Bernd W. Böttiger and Eugénie Valentin. Their work appears in journals such as Bioinformatics, Arteriosclerosis Thrombosis and Vascular Biology, Journal of Medical Internet Research, Journal of the American College of Cardiology and Intensive Care 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.