Ali Gannoun
- Statistics and Probability top 1%
- Finance top 5%
- Artificial Intelligence top 10%
- Management Science and Operations Research top 10%
- Statistics, Probability and Uncertainty top 5%
- Co-authors
- Jérôme SaraccoJan G. De GooijerAlain BerlinetKeming YuChristiane GuinotStéphane GirardGeorge E. BonneyAo Yuan
- Topics
- Statistical Methods and Inference (30 papers)Advanced Statistical Methods and Models (18 papers)Statistical Methods and Bayesian Inference (7 papers)
- Journals
- SHILAP Revista de lepidopterologíaBiometricsStatistics in Medicine
- Partner nations
- FranceNetherlandsUnited States
In The Last Decade
Ali Gannoun
43 papers receiving 420 citations
Peers
Comparison fields: 5 of 84
- Statistics and Probability 312
- Finance 108
- Artificial Intelligence 98
- Management Science and Operations Research 76
- Statistics, Probability and Uncertainty 49
Countries citing papers authored by Ali Gannoun
This map shows the geographic impact of Ali Gannoun'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 Ali Gannoun with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ali Gannoun more than expected).
Fields of papers citing papers by Ali Gannoun
This network shows the impact of papers produced by Ali Gannoun. 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 Ali Gannoun. The network helps show where Ali Gannoun may publish in the future.
Co-authorship network of co-authors of Ali Gannoun
This figure shows the co-authorship network connecting the top 25 collaborators of Ali Gannoun. A scholar is included among the top collaborators of Ali Gannoun 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 Ali Gannoun. Ali Gannoun is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 2 | |
| 2 | 2 | |
| 3 | 12 | |
| 4 | 2 | |
| 5 | 17 | |
| 6 | 6 | |
| 7 | 3 | |
| 8 | Estimation de quantiles géométriques conditionnels et non conditionnels | 5 |
| 9 | 1 | |
| 10 | 8 | |
| 11 | 18 | |
| 12 | 3 | |
| 13 | 2 | |
| 14 | 17 | |
| 15 | Trois méthodes non paramétriques pour l'estimation de courbes de référence-Application à l'analyse de propriétés biophysiques de la peau | 1 |
| 16 | 44 | |
| 17 | 4 | |
| 18 | Nonparametric Regression with Serially Correlated Errors | 3 |
| 19 | 21 | |
| 20 | Prédiction non paramétrique : médianogramme et méthode du noyau en estimation de la médiane conditionnelle | 3 |
About Ali Gannoun
Ali Gannoun is a scholar working on Statistics and Probability, Statistics, Probability and Uncertainty and Finance, having authored 44 papers that have together received 454 indexed citations. Recurring topics across this work include Statistical Methods and Inference (30 papers), Advanced Statistical Methods and Models (18 papers) and Statistical Methods and Bayesian Inference (7 papers). The work is most often cited by research in Statistics and Probability (312 citations), Finance (108 citations) and Statistics, Probability and Uncertainty (49 citations). Ali Gannoun has collaborated with scholars based in France, Netherlands and United States. Frequent co-authors include Jérôme Saracco, Jan G. De Gooijer, Alain Berlinet, Keming Yu, Christiane Guinot, Stéphane Girard, George E. Bonney, Ao Yuan, Christophe Crambes and Éric Matzner-Løber. Their work appears in journals such as SHILAP Revista de lepidopterología, Biometrics 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.