Yves Tillé
- Statistics and Probability top 1%
- Artificial Intelligence top 10%
- Economics and Econometrics top 10%
- Sociology and Political Science top 10%
- Environmental Engineering top 10%
- Co-authors
- Anton GrafströmJean‐Claude DevilleMaria Michela DicksonGuillaume ChauvetGiuseppe EspaDiego GiulianiAnne‐Catherine FavreSusan D. Healy
- Topics
- Statistical Methods and Bayesian Inference (27 papers)Bayesian Methods and Mixture Models (18 papers)Survey Sampling and Estimation Techniques (16 papers)
- Journals
- SHILAP Revista de lepidopterologíaJournal of the American Statistical AssociationBiometrika
- Partner nations
- SwitzerlandCanadaFrance
In The Last Decade
Yves Tillé
63 papers receiving 716 citations
Peers
Comparison fields: 5 of 122
- Statistics and Probability 348
- Artificial Intelligence 154
- Economics and Econometrics 147
- Sociology and Political Science 134
- Environmental Engineering 127
Countries citing papers authored by Yves Tillé
This map shows the geographic impact of Yves Tillé'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 Yves Tillé with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yves Tillé more than expected).
Fields of papers citing papers by Yves Tillé
This network shows the impact of papers produced by Yves Tillé. 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 Yves Tillé. The network helps show where Yves Tillé may publish in the future.
Co-authorship network of co-authors of Yves Tillé
This figure shows the co-authorship network connecting the top 25 collaborators of Yves Tillé. A scholar is included among the top collaborators of Yves Tillé 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 Yves Tillé. Yves Tillé is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 0 | |
| 3 | 2 | |
| 4 | 1 | |
| 5 | 0 | |
| 6 | 6 | |
| 7 | 53 | |
| 8 | 5 | |
| 9 | 1 | |
| 10 | 2 | |
| 11 | 12 | |
| 12 | 55 | |
| 13 | 50 | |
| 14 | 2 | |
| 15 | 16 | |
| 16 | 11 | |
| 17 | 5 | |
| 18 | 12 | |
| 19 | Utilisation d'informations auxiliaires dans les enquêtes par sondage | 1 |
| 20 | Some remarks on Unequal Probability Sampling Designs Without Replacement | 3 |
About Yves Tillé
Yves Tillé is a scholar working on Statistics and Probability, Statistics, Probability and Uncertainty and Artificial Intelligence, having authored 71 papers that have together received 784 indexed citations. Recurring topics across this work include Statistical Methods and Bayesian Inference (27 papers), Bayesian Methods and Mixture Models (18 papers) and Survey Sampling and Estimation Techniques (16 papers). The work is most often cited by research in Statistics and Probability (348 citations), Statistics, Probability and Uncertainty (66 citations) and Environmental Engineering (127 citations). Yves Tillé has collaborated with scholars based in Switzerland, Canada and France. Frequent co-authors include Anton Grafström, Jean‐Claude Deville, Maria Michela Dickson, Guillaume Chauvet, Giuseppe Espa, Diego Giuliani, Anne‐Catherine Favre, Susan D. Healy, Jonathan A. Newman and Klaus Ecker. Their work appears in journals such as SHILAP Revista de lepidopterología, Journal of the American Statistical Association and Biometrika.
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.