Pierre Jacob
Impact in
- Statistics and Probability top 1%
- Statistical Methods and Inference
- Markov Chains and Monte Carlo Methods
- Statistical Methods and Bayesian Inference
- Advanced Statistical Methods and Models
- Artificial Intelligence top 5%
- Bayesian Methods and Mixture Models
- Gaussian Processes and Bayesian Inference
- Target Tracking and Data Fusion in Sensor Networks
Papers in
-
- Markov Chains and Monte Carlo Methods 13
- Statistical Methods and Inference 13
- Statistical Methods and Bayesian Inference 8
- Advanced Statistical Methods and Models 6
-
- Bayesian Methods and Mixture Models 15
- Co-authors
- ChopinNicolas (2 shared papers)Omiros Papaspiliopoulos (1 shared paper)Christian P. Robert (4 shared papers)Stéphane Girard (7 shared papers)Lawrence M. Murray (4 shared papers)Anthony Lee (4 shared papers)John R. O’Leary (2 shared papers)Yves F. Atchadé (1 shared paper)
- Journals
- Scientific Reports (4 papers)Journal of the Royal Statistical Society Series B (Statistical Methodology) (4 papers)Journal of the American Statistical Association (3 papers)Journal of Computational and Graphical Statistics (3 papers)Journal of Statistical Planning and Inference (3 papers)
- Partner nations
- FranceUnited StatesUnited Kingdom
In The Last Decade
Pierre Jacob
71 papers receiving 995 citations
Peers
Comparison fields: 5 of 134
- Statistics and Probability 369
- Artificial Intelligence 382
- Modeling and Simulation 38
- Statistics, Probability and Uncertainty 57
- Finance 80
Countries citing papers authored by Pierre Jacob
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).
Fields of papers citing papers by Pierre Jacob
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.
Co-authors
The 25 scholars most cited alongside Pierre Jacob, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 78 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2012 | 214 | |
| 2 | 2015 | 82 | |
| 3 | 2019 | 64 | |
| 4 | 2020 | 60 | |
| 5 | 2019 | 44 | |
| 6 | 2019 | 33 | |
| 7 | 2011 | 33 | |
| 8 | 2022 | 28 | |
| 9 | 2021 | 27 | |
| 10 | 1997 | 27 | |
| 11 | 2005 | 25 | |
| 12 | 2018 | 22 | |
| 13 | 2013 | 21 | |
| 14 | 2017 | 21 | |
| 15 | 2012 | 19 | |
| 16 | 2010 | 18 | |
| 17 | 2004 | 18 | |
| 18 | 1995 | 18 | |
| 19 | 2019 | 17 | |
| 20 | 2003 | 16 |
About Pierre Jacob
Pierre Jacob is a scholar working on Statistics and Probability, Artificial Intelligence, Applied Mathematics, Computer Vision and Pattern Recognition and Finance, having authored 78 papers that have together received 1.0k indexed citations. Recurring topics across this work include Bayesian Methods and Mixture Models (15 papers), Markov Chains and Monte Carlo Methods (13 papers), Statistical Methods and Inference (13 papers), Statistical Methods and Bayesian Inference (8 papers), Advanced Statistical Methods and Models (6 papers), Point processes and geometric inequalities (5 papers), Financial Risk and Volatility Modeling (5 papers) and Mosquito-borne diseases and control (5 papers). The work is most often cited by research in Statistics and Probability (369 citations), Artificial Intelligence (382 citations), Modeling and Simulation (38 citations), Statistics, Probability and Uncertainty (57 citations) and Finance (80 citations). Pierre Jacob has collaborated with scholars based in France, United States and United Kingdom. Frequent co-authors include ChopinNicolas, Omiros Papaspiliopoulos, Christian P. Robert, Stéphane Girard, Lawrence M. Murray, Anthony Lee, John R. O’Leary, Yves F. Atchadé, Jeremy Heng and Aimee R. Taylor. Their work appears in journals such as Scientific Reports, Journal of the Royal Statistical Society Series B (Statistical Methodology), Journal of the American Statistical Association, Journal of Computational and Graphical Statistics and Journal of Statistical Planning and Inference.
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.