Ivan Lerner

15 papers receiving 344 citations

Ivan Lerner's Hit Papers

Incidence of Sudden Cardiac Death in the European Union 2022 · 122 citations
1220+1+2Years since publication4080120

Peers

Ivan Lerner
Comparison fields: 5 of 68
  • Emergency Medicine 49
  • Health Informatics 5
  • Cardiology and Cardiovascular Medicine 56
  • Infectious Diseases 47
  • Critical Care and Intensive Care Medicine 11
Replace Harald G. De Cauwer with:
Harald G. De Cauwer Belgium
Iman Mohammadi Iran
J.D. van Dijk Netherlands
Ankit Bansal India
Laure Abensur Vuillaume France
Sae Won Choi South Korea
Kâmil Kokulu Türkiye
Frank C. Bennis Netherlands
Seok Young Song South Korea
Siv Fonnes Denmark
Ivan Lerner relative to Harald G. De Cauwer Belgium Harald G. De Cauwer's profile →
Citations per field
00.5×2×3×3.7×
Harald G. De Cauwer · 1×
Citations per year

Countries citing papers authored by Ivan Lerner

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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.

Border = papers with Ivan Lerner Line = papers co-authored together Ivan Lerner links everyone, so they are left out of the graph.

All Works

16 of 16 papers shown
#Work
1
Incidence of Sudden Cardiac Death in the European Union
Hit paper breakdown →
2022122
2 202055
3 202142
4 202223
5 202122
6 201820
7 202117
8 202217
9 202212
10 20229
11 20204
12 20241
13 20241
14 20221
15 20241
16 20200

About Ivan Lerner

Ivan Lerner is a scholar working on Infectious Diseases, Neurology, Emergency Medicine, Molecular Biology and Artificial Intelligence, having authored 16 papers that have together received 347 indexed citations. Recurring topics across this work include COVID-19 Clinical Research Studies (3 papers), Biomedical Text Mining and Ontologies (3 papers), SARS-CoV-2 and COVID-19 Research (2 papers), Long-Term Effects of COVID-19 (2 papers), Cardiac Arrest and Resuscitation (1 paper), Sepsis Diagnosis and Treatment (1 paper), Topic Modeling (1 paper) and AI in cancer detection (1 paper). The work is most often cited by research in Emergency Medicine (49 citations), Health Informatics (5 citations), Cardiology and Cardiovascular Medicine (56 citations), Infectious Diseases (47 citations) and Critical Care and Intensive Care Medicine (11 citations). Ivan Lerner has collaborated with scholars based in France, United States and Netherlands. Frequent co-authors include Antoine Neuraz, Anita Burgun, Éloi Marijon, Hanno L. Tan, Martin N. Jonsson, Bernd Walter Böttiger, Wulfran Bougouin, Xavier Jouven, Fredrik Folke and Marieke Tabo Blom. Their work appears in journals such as Intensive Care Medicine, PLoS ONE, Alimentary Pharmacology & Therapeutics, Journal of Clinical Epidemiology and Bioinformatics.

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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