Philippe Barbe
Impact in
- Statistics and Probability top 5%
- Statistical Methods and Inference
- Statistical Distribution Estimation and Applications
- Advanced Statistical Methods and Models
- Statistical Methods and Bayesian Inference
- Finance top 5%
- Financial Risk and Volatility Modeling
Papers in
-
- Statistical Methods and Inference 4
- Statistical Distribution Estimation and Applications 4
- Advanced Statistical Methods and Models 2
-
- Bayesian Methods and Mixture Models 4
- Co-authors
- Patrice Bertail (1 shared paper)Bruno Rémillard (1 shared paper)Christian Genest (1 shared paper)Kilani Ghoudi (1 shared paper)William P. McCormick (1 shared paper)Michel Broniatowski (2 shared papers)William C. Horrace (1 shared paper)Bernard Garel (1 shared paper)
- Journals
- Journal of Multivariate Analysis (2 papers)Stochastic Processes and their Applications (1 paper)ACM Transactions on Modeling and Computer Simulation (1 paper)The American Statistician (1 paper)Statistics & Probability Letters (2 papers)
- Partner nations
- FranceUnited StatesCanada
In The Last Decade
Philippe Barbe
9 papers receiving 208 citations
Peers
Comparison fields: 5 of 51
- Statistics and Probability 124
- Finance 112
- Management Science and Operations Research 45
- Statistics, Probability and Uncertainty 18
- Global and Planetary Change 34
Countries citing papers authored by Philippe Barbe
This map shows the geographic impact of Philippe Barbe'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 Philippe Barbe with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Philippe Barbe more than expected).
Fields of papers citing papers by Philippe Barbe
This network shows the impact of papers produced by Philippe Barbe. 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 Philippe Barbe. The network helps show where Philippe Barbe may publish in the future.
Co-authors
The 8 scholars most cited alongside Philippe Barbe, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 1996 | 112 | |
| 2 | 1995 | 83 | |
| 3 | 2005 | 15 | |
| 4 | 1998 | 4 | |
| 5 | 1999 | 3 | |
| 6 | 1994 | 2 | |
| 7 | 1998 | 2 | |
| 8 | 1992 | 2 | |
| 9 | 1993 | 1 | |
| 10 | 2012 | 1 | |
| 11 | 1998 | 0 |
About Philippe Barbe
Philippe Barbe is a scholar working on Statistics and Probability, Artificial Intelligence, Finance, Management Science and Operations Research and Mathematical Physics, having authored 11 papers that have together received 225 indexed citations. Recurring topics across this work include Statistical Methods and Inference (4 papers), Statistical Distribution Estimation and Applications (4 papers), Bayesian Methods and Mixture Models (4 papers), Financial Risk and Volatility Modeling (3 papers), Probability and Risk Models (3 papers), Stochastic processes and statistical mechanics (2 papers), Advanced Statistical Methods and Models (2 papers) and Crime Patterns and Interventions (1 paper). The work is most often cited by research in Statistics and Probability (124 citations), Finance (112 citations), Management Science and Operations Research (45 citations), Statistics, Probability and Uncertainty (18 citations) and Global and Planetary Change (34 citations). Philippe Barbe has collaborated with scholars based in France, United States and Canada. Frequent co-authors include Patrice Bertail, Bruno Rémillard, Christian Genest, Kilani Ghoudi, William P. McCormick, Michel Broniatowski, William C. Horrace and Bernard Garel. Their work appears in journals such as Journal of Multivariate Analysis, Stochastic Processes and their Applications, ACM Transactions on Modeling and Computer Simulation, The American Statistician and Statistics & Probability Letters.
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.