| Tracing the source of campylobacteriosis DJ Wilson, E Gabriel, AJH Leatherbarrow, J Cheesbrough, S Gee, ... PLoS genetics 4 (9), e1000203, 2008 | 547 | 2008 |
| Rapid Evolution and the Importance of Recombination to the Gastroenteric Pathogen Campylobacter jejuni DJ Wilson, E Gabriel, AJH Leatherbarrow, J Cheesbrough, S Gee, ... Molecular biology and evolution 26 (2), 385-397, 2009 | 237 | 2009 |
| Second‐order analysis of inhomogeneous spatio‐temporal point process data E Gabriel, PJ Diggle Statistica Neerlandica 63 (1), 43-51, 2009 | 177 | 2009 |
| Herbicides do not ensure for higher wheat yield, but eliminate rare plant species S Gaba, E Gabriel, J Chadœuf, F Bonneu, V Bretagnolle Scientific reports 6 (1), 30112, 2016 | 143 | 2016 |
| stpp: an R package for plotting, simulating and analyzing Spatio-Temporal Point Patterns E Gabriel, BS Rowlingson, PJ Diggle Journal of Statistical Software 53, 1-29, 2013 | 82 | 2013 |
| Estimating second-order characteristics of inhomogeneous spatio-temporal point processes: influence of edge correction methods and intensity estimates E Gabriel Methodology and Computing in Applied Probability 16, 411-431, 2014 | 65 | 2014 |
| Point-process based Bayesian modeling of space–time structures of forest fire occurrences in Mediterranean France T Opitz, F Bonneu, E Gabriel Spatial Statistics 40, 100429, 2020 | 40 | 2020 |
| Spatio-temporal point processes P Diggle, E Gabriel A Gelfand, P Diggle, M Fuentes, GP (eds.), Handbook of Spatial Statistics …, 2010 | 40 | 2010 |
| Spatio-temporal epidemiology of Campylobacter jejuni enteritis, in an area of Northwest England, 2000–2002 E Gabriel, DJ Wilson, AJH Leatherbarrow, J Cheesbrough, S Gee, ... Epidemiology & Infection 138 (10), 1384-1390, 2010 | 25 | 2010 |
| Detecting and modeling multi-scale space-time structures: the case of wildfire occurrences E Gabriel, T Opitz, F Bonneu Journal de la Société Française de Statistique 158 (3), 86-105, 2017 | 24 | 2017 |
| Colonization of weakened trees by mass-attacking bark beetles: No penalty for pioneers, scattered initial distributions and final regular patterns E Toffin, E Gabriel, M Louis, JL Deneubourg, JC Grégoire Royal Society open science 5 (1), 170454, 2018 | 23 | 2018 |
| A spatio-temporal multi-scale model for Geyer saturation point process: application to forest fire occurrences M Raeisi, F Bonneu, E Gabriel Spatial Statistics 41, 100492, 2021 | 20 | 2021 |
| Analyzing spatio-temporal data with R: Everything you always wanted to know–but were afraid to ask R Network Journal de la Société Française de Statistique 158 (3), 124-158, 2017 | 20 | 2017 |
| Stpp: Space-time point pattern simulation, visualisation and analysis E Gabriel, PJ Diggle, B Rowlingson, FJ Rodriguez-Cortes R package version, 1.0-4, 2014 | 17 | 2014 |
| A. Baddeley, E. Rubak, R. Turner: Spatial Point Patterns: Methodology and Applications with R: Boca Raton, CRC Press, 2016 E Gabriel Mathematical Geosciences 49 (6), 815-817, 2017 | 16 | 2017 |
| More pests but less pesticide applications: Ambivalent effect of landscape complexity on conservation biological control P Zamberletti, K Sabir, T Opitz, O Bonnefon, E Gabriel, J Papaïx PLoS computational biology 17 (11), e1009559, 2021 | 13 | 2021 |
| Estimating and testing zones of abrupt change for spatial data D Allard, E Gabriel, JN Bacro WNAR/IMS conference, Fairbanks, 2005 | 12 | 2005 |
| Estimating the intensity function of spatial point processes outside the observation window E Gabriel, J Coville, J Chadoeuf Spatial Statistics 22, 225-239, 2017 | 11 | 2017 |
| Adapted kriging to predict the intensity of partially observed point process data E Gabriel, F Bonneu, P Monestiez, J Chadœuf Spatial Statistics 18, 54-71, 2016 | 8 | 2016 |
| Estimating and testing zones of abrupt change for spatial data E Gabriel, D Allard, JN Bacro Statistics and Computing 21, 107-120, 2011 | 8 | 2011 |
