Centre de Recherche en Économie et Statistique
Impact in
- Finance top 1%
- Stochastic processes and financial applications
- Financial Risk and Volatility Modeling
- Statistics and Probability top 1%
- Markov Chains and Monte Carlo Methods
- Statistical Methods and Inference
Papers in
-
- Statistical Methods and Inference 264
- Markov Chains and Monte Carlo Methods 137
- Probability and Statistical Research 115
- Finance 535
- Stochastic processes and financial applications 279
- Financial Risk and Volatility Modeling 164
- Top scholars
- Christian P. RobertJean‐Michel ZakoïanNicolas ChopinXavier D’HaultfœuilleJacques Mairesse BChristian GouriérouxClément de ChaisemartinGeorge Casella
- Journals
- Journal of Econometrics (77 papers)Bernoulli (52 papers)The Annals of Statistics (41 papers)Chemistry Letters (40 papers)European Economic Review (38 papers)
- Partner nations
- FranceUnited StatesUnited Kingdom
In The Last Decade
Centre de Recherche en Économie et Statistique
2.7k papers receiving 92.3k citations
Peers
Comparison fields: 5 of 237
- Finance 14.8k
- Statistics and Probability 13.4k
- Economics and Econometrics 21k
- General Economics, Econometrics and Finance 5.5k
- Management Science and Operations Research 4.2k
Countries citing scholars working at Centre de Recherche en Économie et Statistique
This map shows the geographic impact of research produced by authors working at Centre de Recherche en Économie et Statistique. 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 papers produced at Centre de Recherche en Économie et Statistique with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Centre de Recherche en Économie et Statistique more than expected).
Fields of papers published by authors at Centre de Recherche en Économie et Statistique
This network shows the impact of papers affiliated with Centre de Recherche en Économie et Statistique at the time of their publication. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers affiliated with Centre de Recherche en Économie et Statistique at the time of their publication.
About Centre de Recherche en Économie et Statistique
In recent decades, authors affiliated with Centre de Recherche en Économie et Statistique have published 3k papers, which have received a total of 92.5k indexed citations . Scholars at this organization have produced 578 papers in Statistics and Probability, 535 papers in Finance, 723 papers in Economics and Econometrics, 166 papers in General Economics, Econometrics and Finance and 35 papers in General Decision Sciences on the topics of Stochastic processes and financial applications (279 papers), Statistical Methods and Inference (264 papers), Labor market dynamics and wage inequality (197 papers), Financial Risk and Volatility Modeling (164 papers), Markov Chains and Monte Carlo Methods (137 papers), Probability and Statistical Research (115 papers), Merger and Competition Analysis (104 papers) and Monetary Policy and Economic Impact (103 papers). Their work is cited by papers focused on Finance (14.8k citations), Statistics and Probability (13.4k citations), Economics and Econometrics (21k citations), General Economics, Econometrics and Finance (5.5k citations) and Management Science and Operations Research (4.2k citations). Authors at Centre de Recherche en Économie et Statistique collaborate with scholars in France, United States and United Kingdom and have published in prestigious journals including Journal of Econometrics, Bernoulli, The Annals of Statistics, Chemistry Letters and European Economic Review. Some of Centre de Recherche en Économie et Statistique's most productive authors include Christian P. Robert, Jean‐Michel Zakoïan, Nicolas Chopin, Xavier D’Haultfœuille, Jacques Mairesse B, Christian Gouriéroux, Clément de Chaisemartin, George Casella, Françis Kramarz and Håvard Rue.
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.