Julien Jacques
Impact in
- Statistics and Probability top 1%
- Statistical Methods and Inference
- Advanced Statistical Methods and Models
- Signal Processing top 5%
- Data Management and Algorithms
- Time Series Analysis and Forecasting
Papers in
-
- Bayesian Methods and Mixture Models 24
- Advanced Clustering Algorithms Research 18
- Bayesian Modeling and Causal Inference 5
- Co-authors
- Cristian Preda (6 shared papers)Charles Bouveyron (10 shared papers)Christophe Biernacki (14 shared papers)C. Fouquey (5 shared papers)Nicolas Devictor (1 shared paper)Christian Lavergne (1 shared paper)Étienne Côme (2 shared papers)Mathilde Leclercq (2 shared papers)
- Journals
- Tetrahedron (8 papers)Tetrahedron Letters (8 papers)Computational Statistics & Data Analysis (4 papers)Advances in Data Analysis and Classification (4 papers)Journal of the Royal Statistical Society Series C (Applied Statistics) (4 papers)
- Partner nations
- FranceUnited StatesItaly
In The Last Decade
Julien Jacques
79 papers receiving 1.7k citations
Peers
Comparison fields: 5 of 168
- Statistics and Probability 268
- Signal Processing 202
- Artificial Intelligence 559
- Statistics, Probability and Uncertainty 98
- Spectroscopy 192
Countries citing papers authored by Julien Jacques
This map shows the geographic impact of Julien Jacques'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 Julien Jacques with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Julien Jacques more than expected).
Fields of papers citing papers by Julien Jacques
This network shows the impact of papers produced by Julien Jacques. 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 Julien Jacques. The network helps show where Julien Jacques may publish in the future.
Co-authors
The 25 scholars most cited alongside Julien Jacques, 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 86 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2013 | 239 | |
| 2 | 2012 | 186 | |
| 3 | 2006 | 138 | |
| 4 | 1971 | 106 | |
| 5 | 2011 | 103 | |
| 6 | 2015 | 88 | |
| 7 | 2013 | 65 | |
| 8 | 1976 | 53 | |
| 9 | 2008 | 52 | |
| 10 | 2020 | 49 | |
| 11 | 1980 | 41 | |
| 12 | 1967 | 34 | |
| 13 | 2018 | 33 | |
| 14 | 2015 | 32 | |
| 15 | 2012 | 31 | |
| 16 | 2018 | 31 | |
| 17 | 2018 | 26 | |
| 18 | 2016 | 25 | |
| 19 | 2015 | 25 | |
| 20 | 1981 | 25 |
About Julien Jacques
Julien Jacques is a scholar working on Artificial Intelligence, Organic Chemistry, Molecular Biology, Spectroscopy and Statistics and Probability, having authored 86 papers that have together received 1.8k indexed citations. Recurring topics across this work include Bayesian Methods and Mixture Models (24 papers), Advanced Clustering Algorithms Research (18 papers), Molecular spectroscopy and chirality (8 papers), Statistical Methods and Inference (7 papers), Data Management and Algorithms (6 papers), Analytical Chemistry and Chromatography (5 papers), Bayesian Modeling and Causal Inference (5 papers) and Advanced Statistical Methods and Models (4 papers). The work is most often cited by research in Statistics and Probability (268 citations), Signal Processing (202 citations), Artificial Intelligence (559 citations), Statistics, Probability and Uncertainty (98 citations) and Spectroscopy (192 citations). Julien Jacques has collaborated with scholars based in France, United States and Italy. Frequent co-authors include Cristian Preda, Charles Bouveyron, Christophe Biernacki, C. Fouquey, Nicolas Devictor, Christian Lavergne, Étienne Côme, Mathilde Leclercq, Jacques Malthête and André Collet. Their work appears in journals such as Tetrahedron, Tetrahedron Letters, Computational Statistics & Data Analysis, Advances in Data Analysis and Classification and Journal of the Royal Statistical Society Series C (Applied Statistics).
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.