Florence Le Ber

52 papers and 417 indexed citations i.

About

Florence Le Ber is a scholar working on Signal Processing, Artificial Intelligence and Computational Theory and Mathematics. According to data from OpenAlex, Florence Le Ber has authored 52 papers receiving a total of 417 indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Signal Processing, 14 papers in Artificial Intelligence and 12 papers in Computational Theory and Mathematics. Recurrent topics in Florence Le Ber’s work include Data Management and Algorithms (14 papers), Rough Sets and Fuzzy Logic (12 papers) and Agriculture and Rural Development Research (10 papers). Florence Le Ber is often cited by papers focused on Data Management and Algorithms (14 papers), Rough Sets and Fuzzy Logic (12 papers) and Agriculture and Rural Development Research (10 papers). Florence Le Ber collaborates with scholars based in France, Germany and Canada. Florence Le Ber's co-authors include Frédérique Angevin, Claire Lavigne, Amedeo Napoli, João Fernando Mari, Hervé Piégay, Adrien Alber, Catherine Mignolet, Marc Benoît, Katarzyna Adamczyk and Céline Schott and has published in prestigious journals such as International Journal of Heat and Mass Transfer, Journal of Applied Ecology and Geomorphology.

In The Last Decade

Co-authorship network of co-authors of Florence Le Ber i

Fields of papers citing papers by Florence Le Ber

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Florence Le Ber. 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 Le Ber. The network helps show where Florence Le Ber may publish in the future.

Countries citing papers authored by Florence Le Ber

Since Specialization
Citations

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