Florence d’Alché–Buc

33 papers and 836 indexed citations i.

About

Florence d’Alché–Buc is a scholar working on Molecular Biology, Artificial Intelligence and Signal Processing. According to data from OpenAlex, Florence d’Alché–Buc has authored 33 papers receiving a total of 836 indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Molecular Biology, 11 papers in Artificial Intelligence and 4 papers in Signal Processing. Recurrent topics in Florence d’Alché–Buc’s work include Bioinformatics and Genomic Networks (9 papers), Neural Networks and Applications (8 papers) and Gene Regulatory Network Analysis (7 papers). Florence d’Alché–Buc is often cited by papers focused on Bioinformatics and Genomic Networks (9 papers), Neural Networks and Applications (8 papers) and Gene Regulatory Network Analysis (7 papers). Florence d’Alché–Buc collaborates with scholars based in France, Belgium and Finland. Florence d’Alché–Buc's co-authors include Liva Ralaivola, Jacques Mallet, Aurélien Mazurie, Samuele Bottani, George Michailidis, Nicolas Brunel, Céline Brouard, Juho Rousu, Jean‐Pierre Nadal and Huibin Shen and has published in prestigious journals such as Nucleic Acids Research, Journal of the American Statistical Association and Bioinformatics.

In The Last Decade

Co-authorship network of co-authors of Florence d’Alché–Buc i

Fields of papers citing papers by Florence d’Alché–Buc

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Florence d’Alché–Buc. 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 Florence d’Alché–Buc. The network helps show where Florence d’Alché–Buc may publish in the future.

Countries citing papers authored by Florence d’Alché–Buc

Since Specialization
Citations

This map shows the geographic impact of Florence d’Alché–Buc'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 Florence d’Alché–Buc with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Florence d’Alché–Buc 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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