Jérôme Saracco
- Statistics and Probability top 1%
- Artificial Intelligence top 10%
- Cognitive Neuroscience
- Molecular Biology
- Animal Science and Zoology top 10%
- Co-authors
- Marie ChaventVanessa Kuentz-SimonetAli GannounBenoît LiquetStéphane GirardAmaury LabenneKeming YuChristiane Guinot
- Topics
- Statistical Methods and Inference (34 papers)Advanced Statistical Methods and Models (20 papers)Bayesian Methods and Mixture Models (10 papers)
- Cited by
- Statistics and ProbabilityAnimal Science and ZoologyStatistics, Probability and Uncertainty
- Journals
- SHILAP Revista de lepidopterologíaScientific ReportsStatistics in Medicine
- Partner nations
- FranceUnited StatesUnited Kingdom
In The Last Decade
Jérôme Saracco
72 papers receiving 916 citations
Peers
Comparison fields: 5 of 169
- Statistics and Probability 302
- Artificial Intelligence 174
- Cognitive Neuroscience 86
- Molecular Biology 69
- Animal Science and Zoology 67
Countries citing papers authored by Jérôme Saracco
This map shows the geographic impact of Jérôme Saracco'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 Jérôme Saracco with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jérôme Saracco more than expected).
Fields of papers citing papers by Jérôme Saracco
This network shows the impact of papers produced by Jérôme Saracco. 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 Jérôme Saracco. The network helps show where Jérôme Saracco may publish in the future.
Co-authorship network of co-authors of Jérôme Saracco
This figure shows the co-authorship network connecting the top 25 collaborators of Jérôme Saracco. A scholar is included among the top collaborators of Jérôme Saracco based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Jérôme Saracco. Jérôme Saracco is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 4 | |
| 2 | 16 | |
| 3 | 38 | |
| 4 | 50 | |
| 5 | 87 | |
| 6 | 13 | |
| 7 | 2 | |
| 8 | 1 | |
| 9 | 9 | |
| 10 | 3 | |
| 11 | Clustering of categorical variables around latent variables | 3 |
| 12 | Estimation de quantiles géométriques conditionnels et non conditionnels | 5 |
| 13 | 18 | |
| 14 | 13 | |
| 15 | 27 | |
| 16 | 2 | |
| 17 | Trois méthodes non paramétriques pour l'estimation de courbes de référence-Application à l'analyse de propriétés biophysiques de la peau | 1 |
| 18 | 44 | |
| 19 | 19 | |
| 20 | 21 |
About Jérôme Saracco
Jérôme Saracco is a scholar working on Statistics and Probability, Animal Science and Zoology and Statistics, Probability and Uncertainty, having authored 74 papers that have together received 959 indexed citations. Recurring topics across this work include Statistical Methods and Inference (34 papers), Advanced Statistical Methods and Models (20 papers) and Bayesian Methods and Mixture Models (10 papers). The work is most often cited by research in Statistics and Probability (302 citations), Animal Science and Zoology (67 citations) and Statistics, Probability and Uncertainty (40 citations). Jérôme Saracco has collaborated with scholars based in France, United States and United Kingdom. Frequent co-authors include Marie Chavent, Vanessa Kuentz-Simonet, Ali Gannoun, Benoît Liquet, Stéphane Girard, Amaury Labenne, Keming Yu, Christiane Guinot, Robin Genuer and George E. Bonney. Their work appears in journals such as SHILAP Revista de lepidopterología, Scientific Reports and Statistics in Medicine.
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.