François Pérès

44 papers and 376 indexed citations i.

About

François Pérès is a scholar working on Artificial Intelligence, Management Science and Operations Research and Statistics, Probability and Uncertainty. According to data from OpenAlex, François Pérès has authored 44 papers receiving a total of 376 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Artificial Intelligence, 9 papers in Management Science and Operations Research and 9 papers in Statistics, Probability and Uncertainty. Recurrent topics in François Pérès’s work include Bayesian Modeling and Causal Inference (9 papers), Risk and Safety Analysis (8 papers) and Multi-Criteria Decision Making (7 papers). François Pérès is often cited by papers focused on Bayesian Modeling and Causal Inference (9 papers), Risk and Safety Analysis (8 papers) and Multi-Criteria Decision Making (7 papers). François Pérès collaborates with scholars based in France, Spain and Chile. François Pérès's co-authors include Ayeley Tchangani, Quan Liu, Fabrice Auzanneau, Wafa Hassen, Carmen Martín, Olivier Dalverny, Benoît Iung, Hélène Roux, Vicente González-Prida and Pascale Zaraté and has published in prestigious journals such as Expert Systems with Applications, Engineering Structures and Reliability Engineering & System Safety.

In The Last Decade

Co-authorship network of co-authors of François Pérès i

Fields of papers citing papers by François Pérès

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by François Pérès

Since Specialization
Citations

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