Ivan Lerner

13 papers and 196 indexed citations i.

About

Ivan Lerner is a scholar working on Artificial Intelligence, Molecular Biology and Cardiology and Cardiovascular Medicine. According to data from OpenAlex, Ivan Lerner has authored 13 papers receiving a total of 196 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Artificial Intelligence, 5 papers in Molecular Biology and 2 papers in Cardiology and Cardiovascular Medicine. Recurrent topics in Ivan Lerner’s work include Biomedical Text Mining and Ontologies (5 papers), Topic Modeling (4 papers) and Natural Language Processing Techniques (3 papers). Ivan Lerner is often cited by papers focused on Biomedical Text Mining and Ontologies (5 papers), Topic Modeling (4 papers) and Natural Language Processing Techniques (3 papers). Ivan Lerner collaborates with scholars based in France, United States and The Netherlands. Ivan Lerner's co-authors include Nicolás Paris, Antoine Neuraz, Anita Burgun, Xavier Tannier, Bastien Rance, Nicolas Garcelon, Rosy Tsopra, Éloi Marijon, Kevin Bretonnel Cohen and Jean‐Philippe Empana and has published in prestigious journals such as Bioinformatics, Journal of the American College of Cardiology and PLoS ONE.

In The Last Decade

Co-authorship network of co-authors of Ivan Lerner i

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.

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).

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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