Franck Dernoncourt

89 papers and 1.8k indexed citations i.

About

Franck Dernoncourt is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Molecular Biology. According to data from OpenAlex, Franck Dernoncourt has authored 89 papers receiving a total of 1.8k indexed citations (citations by other indexed papers that have themselves been cited), including 79 papers in Artificial Intelligence, 25 papers in Computer Vision and Pattern Recognition and 9 papers in Molecular Biology. Recurrent topics in Franck Dernoncourt’s work include Topic Modeling (59 papers), Natural Language Processing Techniques (45 papers) and Multimodal Machine Learning Applications (20 papers). Franck Dernoncourt is often cited by papers focused on Topic Modeling (59 papers), Natural Language Processing Techniques (45 papers) and Multimodal Machine Learning Applications (20 papers). Franck Dernoncourt collaborates with scholars based in United States, South Korea and Vietnam. Franck Dernoncourt's co-authors include Ji Young Lee, Peter Szolovits, Trung Bui, Walter Chang, Doo Soon Kim, Özlem Uzuner, Seokhwan Kim, Thien Huu Nguyen, Arman Cohan and Nazli Goharian and has published in prestigious journals such as PLoS ONE, Journal of the American Medical Informatics Association and International Journal of Medical Informatics.

In The Last Decade

Co-authorship network of co-authors of Franck Dernoncourt i

Fields of papers citing papers by Franck Dernoncourt

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Franck Dernoncourt. 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 Franck Dernoncourt. The network helps show where Franck Dernoncourt may publish in the future.

Countries citing papers authored by Franck Dernoncourt

Since Specialization
Citations

This map shows the geographic impact of Franck Dernoncourt'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 Franck Dernoncourt with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Franck Dernoncourt 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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