Gersende Fort

57 papers and 1.1k indexed citations i.

About

Gersende Fort is a scholar working on Statistics and Probability, Artificial Intelligence and Mathematical Physics. According to data from OpenAlex, Gersende Fort has authored 57 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 39 papers in Statistics and Probability, 21 papers in Artificial Intelligence and 17 papers in Mathematical Physics. Recurrent topics in Gersende Fort’s work include Markov Chains and Monte Carlo Methods (37 papers), Stochastic processes and statistical mechanics (17 papers) and Statistical Methods and Inference (14 papers). Gersende Fort is often cited by papers focused on Markov Chains and Monte Carlo Methods (37 papers), Stochastic processes and statistical mechanics (17 papers) and Statistical Methods and Inference (14 papers). Gersende Fort collaborates with scholars based in France, United Kingdom and Finland. Gersende Fort's co-authors include Éric Moulines, Randal Douc, Sophie Lambert‐Lacroix, Arnaud Guillin, Gareth O. Roberts, Pascal Bianchi, Yves F. Atchadé, Philippe Soulier, Walid Hachem and Gabriel Stoltz and has published in prestigious journals such as Bioinformatics, Monthly Notices of the Royal Astronomical Society and IEEE Transactions on Information Theory.

In The Last Decade

Co-authorship network of co-authors of Gersende Fort i

Fields of papers citing papers by Gersende Fort

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Gersende Fort

Since Specialization
Citations

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

Explore authors with similar magnitude of impact

Rankless by CCL
2025