Dominique Lavenier

47 papers and 798 indexed citations i.

About

Dominique Lavenier is a scholar working on Molecular Biology, Artificial Intelligence and Plant Science. According to data from OpenAlex, Dominique Lavenier has authored 47 papers receiving a total of 798 indexed citations (citations by other indexed papers that have themselves been cited), including 31 papers in Molecular Biology, 17 papers in Artificial Intelligence and 9 papers in Plant Science. Recurrent topics in Dominique Lavenier’s work include Genomics and Phylogenetic Studies (24 papers), Algorithms and Data Compression (16 papers) and RNA and protein synthesis mechanisms (8 papers). Dominique Lavenier is often cited by papers focused on Genomics and Phylogenetic Studies (24 papers), Algorithms and Data Compression (16 papers) and RNA and protein synthesis mechanisms (8 papers). Dominique Lavenier collaborates with scholars based in France, United States and Austria. Dominique Lavenier's co-authors include Guillaume Rizk, Rayan Chikhi, Claire Lemaitre, Pierre Peterlongo, Van Hoa Nguyen, Erwan Drézen, Gaëtan Benoit, James Theiler, Rumen Andonov and Mahendra Mariadassou and has published in prestigious journals such as Nucleic Acids Research, Bioinformatics and Scientific Reports.

In The Last Decade

Co-authorship network of co-authors of Dominique Lavenier i

Fields of papers citing papers by Dominique Lavenier

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Dominique Lavenier

Since Specialization
Citations

This map shows the geographic impact of Dominique Lavenier'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 Dominique Lavenier with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Dominique Lavenier 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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2025