Pierre Jacob

About

Pierre Jacob is a scholar working on Statistics and Probability, Artificial Intelligence and Applied Mathematics. According to data from OpenAlex, Pierre Jacob has authored 64 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 27 papers in Statistics and Probability, 24 papers in Artificial Intelligence and 8 papers in Applied Mathematics. Recurrent topics in Pierre Jacob’s work include Markov Chains and Monte Carlo Methods (16 papers), Bayesian Methods and Mixture Models (16 papers) and Statistical Methods and Inference (13 papers). Pierre Jacob is often cited by papers focused on Markov Chains and Monte Carlo Methods (16 papers), Bayesian Methods and Mixture Models (16 papers) and Statistical Methods and Inference (13 papers). Pierre Jacob collaborates with scholars based in France, United States and United Kingdom. Pierre Jacob's co-authors include Nicolás Chopin, Omiros Papaspiliopoulos, Marc Jeannerod, Lawrence M. Murray, Stéphane Girard, Christian P. Robert, Anthony Lee, John R. O’Leary, Yves F. Atchadé and Alexandre H. Thiéry and has published in prestigious journals such as Journal of the American Statistical Association, Genetics and Scientific Reports.

In The Last Decade

Co-authorship network of co-authors of Pierre Jacob i

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Fields of papers citing papers by Pierre Jacob

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Pierre Jacob

Since Specialization

Citations

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