Françoise Fogelman‐Soulié

24 papers and 691 indexed citations i.

About

Françoise Fogelman‐Soulié is a scholar working on Artificial Intelligence, Statistical and Nonlinear Physics and Molecular Biology. According to data from OpenAlex, Françoise Fogelman‐Soulié has authored 24 papers receiving a total of 691 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Artificial Intelligence, 7 papers in Statistical and Nonlinear Physics and 6 papers in Molecular Biology. Recurrent topics in Françoise Fogelman‐Soulié’s work include Complex Network Analysis Techniques (6 papers), Gene Regulatory Network Analysis (6 papers) and Advanced Graph Neural Networks (4 papers). Françoise Fogelman‐Soulié is often cited by papers focused on Complex Network Analysis Techniques (6 papers), Gene Regulatory Network Analysis (6 papers) and Advanced Graph Neural Networks (4 papers). Françoise Fogelman‐Soulié collaborates with scholars based in France, China and Chile. Françoise Fogelman‐Soulié's co-authors include Jeanny Hérault, Y. Le Cun, G. Weisbuch, Sylvie Thiria, F. Badran, Patrick Gallinari, Di Jin, Dongxiao He, Domenico Perrotta and Jakub Piskorski and has published in prestigious journals such as Management Science, Scientific Reports and Journal of Theoretical Biology.

In The Last Decade

Co-authorship network of co-authors of Françoise Fogelman‐Soulié i

Fields of papers citing papers by Françoise Fogelman‐Soulié

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Françoise Fogelman‐Soulié. 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 Françoise Fogelman‐Soulié. The network helps show where Françoise Fogelman‐Soulié may publish in the future.

Countries citing papers authored by Françoise Fogelman‐Soulié

Since Specialization
Citations

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