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 25
- Advanced Clustering Algorithms Research 18
- Bayesian Modeling and Causal Inference 5
-
- Organic Chemistry Cycloaddition Reactions 4
- 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)Journal of the Royal Statistical Society Series C (Applied Statistics) (4 papers)Advances in Data Analysis and Classification (4 papers)
- Partner nations
- FranceItalyUnited States
In The Last Decade
Julien Jacques
80 papers receiving 1.8k citations
Peers
Comparison fields: 5 of 170
- Statistics and Probability 274
- Signal Processing 205
- Artificial Intelligence 572
- Statistics, Probability and Uncertainty 101
- 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 87 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2013 | 248 | |
| 2 | 2012 | 191 | |
| 3 | 2006 | 138 | |
| 4 | 1971 | 106 | |
| 5 | 2011 | 105 | |
| 6 | 2015 | 92 | |
| 7 | 2013 | 67 | |
| 8 | 1976 | 53 | |
| 9 | 2008 | 52 | |
| 10 | 2020 | 50 | |
| 11 | 1980 | 41 | |
| 12 | 2018 | 34 | |
| 13 | 1967 | 34 | |
| 14 | 2015 | 32 | |
| 15 | 2012 | 31 | |
| 16 | 2018 | 31 | |
| 17 | 2018 | 26 | |
| 18 | 2015 | 26 | |
| 19 | 2016 | 26 | |
| 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 87 papers that have together received 1.8k indexed citations. Recurring topics across this work include Bayesian Methods and Mixture Models (25 papers), Advanced Clustering Algorithms Research (18 papers), Statistical Methods and Inference (8 papers), Molecular spectroscopy and chirality (8 papers), Data Management and Algorithms (6 papers), Analytical Chemistry and Chromatography (5 papers), Bayesian Modeling and Causal Inference (5 papers) and Organic Chemistry Cycloaddition Reactions (4 papers). The work is most often cited by research in Statistics and Probability (274 citations), Signal Processing (205 citations), Artificial Intelligence (572 citations), Statistics, Probability and Uncertainty (101 citations) and Spectroscopy (192 citations). Julien Jacques has collaborated with scholars based in France, Italy and United States. 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, Journal of the Royal Statistical Society Series C (Applied Statistics) and Advances in Data Analysis and Classification.
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.