| Renewable energy policy effectiveness: A panel data analysis across Europe and Latin America G Bersalli, P Menanteau, J El-Methni Renewable and Sustainable Energy Reviews 133, 110351, 2020 | 162 | 2020 |
| Non‐parametric estimation of extreme risk measures from conditional heavy‐tailed distributions JE Methni, L Gardes, S Girard Scandinavian Journal of Statistics 41 (4), 988-1012, 2014 | 95 | 2014 |
| Estimation of extreme quantiles from heavy and light tailed distributions J El Methni, L Gardes, S Girard, A Guillou Journal of Statistical Planning and Inference 142 (10), 2735-2747, 2012 | 54 | 2012 |
| Effects of circadian cortisol on the development of a health habit. M Fournier, F d'Arripe-Longueville, C Rovere, CS Easthope, L Schwabe, ... Health Psychology 36 (11), 1059, 2017 | 50 | 2017 |
| Extreme versions of Wang risk measures and their estimation for heavy-tailed distributions J El Methni, G Stupfler Statistica Sinica, 907-930, 2017 | 42 | 2017 |
| Improved estimators of extreme Wang distortion risk measures for very heavy-tailed distributions J El Methni, G Stupfler Econometrics and statistics 6, 129-148, 2018 | 22 | 2018 |
| Kernel estimation of extreme regression risk measures J El Methni, L Gardes, S Girard | 21 | 2018 |
| Quality‐based pharmacokinetic model selection on DCE‐MRI for characterizing orbital lesions A Lecler, D Balvay, CA Cuenod, L Marais, M Zmuda, JC Sadik, ... Journal of Magnetic Resonance Imaging 50 (5), 1514-1525, 2019 | 18 | 2019 |
| A refined Weissman estimator for extreme quantiles M Allouche, J El Methni, S Girard Extremes 26 (3), 545-572, 2023 | 16 | 2023 |
| A 3T phase-sensitive inversion recovery MRI sequence improves detection of cervical spinal cord lesions and shows active lesions in patients with multiple sclerosis A Fechner, J Savatovsky, J El Methni, JC Sadik, O Gout, R Deschamps, ... American Journal of Neuroradiology 40 (2), 370-375, 2019 | 15 | 2019 |
| I didn’t feel like drinking, but I guess why: Evaluative conditioning changes on explicit attitudes toward alcohol and healthy foods depends on contingency awareness O Zerhouni, K Houben, J El Methni, N Rutte, E Werkman, RW Wiers Learning and Motivation 66, 1-12, 2019 | 14 | 2019 |
| Improving detection of multiple sclerosis lesions in the posterior fossa using an optimized 3D-FLAIR sequence at 3T A Lecler, I El Sanharawi, J El Methni, O Gout, P Koskas, J Savatovsky American Journal of Neuroradiology 40 (7), 1170-1176, 2019 | 11 | 2019 |
| Could we expect new praziquantel derivatives? A meta pharmacometrics/pharmacoinformatics analysis of all antischistosomal praziquantel derivatives found in the literature VBR Da Silva, B Boucherle, J El-Methni, B Hoffmann, AL Da Silva, ... SAR and QSAR in Environmental Research 30 (6), 383-401, 2019 | 9 | 2019 |
| L’effet du contrôle comportemental, l’auto-efficacité et la charge subjective de travail sur l’intention d’usage d’un progiciel de gestion intégré KD Hidoussi, M Dubois, M Gandit, J El Methni Psychologie du Travail et des Organisations 22 (1), 22-38, 2016 | 8 | 2016 |
| Estimation de mesures de risque pour des pluies extrêmes dans la région Cévennes Vivarais J El Methni, L Gardes, S Girard La Houille Blanche, 46-51, 2015 | 5 | 2015 |
| Contributions à l'estimation de quantiles extrêmes. Applications à des données environnementales J El Methni Université de Grenoble, 2013 | 5 | 2013 |
| Kernel estimation of extreme risk measures for all domains of attraction J El Methni, S Girard, L Gardes Extremes, Copulas and Actuarial Sciences, 2016 | 3 | 2016 |
| A refined extreme quantiles estimator for Weibull tail-distributions J El Methni, S Girard | 2 | 2024 |
| Frontier estimation based on extreme risk measures J El Methni, L Gardes, S Girard 9th International Conference of the ERCIM WG on Computational and …, 2016 | 2 | 2016 |
| Estimation of risk measures for extreme pluviometrical measurements J El Methni, L Gardes, S Girard 26th Annual Conference of The International Environmetrics Society, 2016 | 2 | 2016 |
Stéphane GirardInria, FranceVerified email at inrialpes.fr
