| “Asymptotically unbiased” estimators of the tail index based on external estimation of the second order parameter MI Gomesa, MJ Martins Extremes 5, 5-31, 2002 | 297 | 2002 |
| Alternatives to a semi-parametric estimator of parameters of rare events—the Jackknife methodology M Ivette Gomes, M João Martins, M Neves Extremes 3, 207-229, 2000 | 222 | 2000 |
| Generalizations of the Hill estimator–asymptotic versus finite sample behaviour MI Gomes, MJ Martins Journal of statistical planning and inference 93 (1-2), 161-180, 2001 | 151 | 2001 |
| Improving second order reduced bias extreme value index estimation MI Gomes, MJ Martins, MM Neves REVSTAT-Statistical Journal 5 (2), 177–207-177–207, 2007 | 143 | 2007 |
| Combining social media photographs and species distribution models to map cultural ecosystem services: The case of a Natural Park in Portugal P Clemente, M Calvache, P Antunes, R Santos, JO Cerdeira, MJ Martins Ecological indicators 96, 59-68, 2019 | 124 | 2019 |
| Bias reduction and explicit semi-parametric estimation of the tail index MI Gomes, MJ Martins Journal of statistical planning and inference 124 (2), 361-378, 2004 | 91 | 2004 |
| Riverscapes downstream of hydropower dams: Effects of altered flows and historical land-use change FC Aguiar, MJ Martins, PC Silva, MR Fernandes Landscape and Urban Planning 153, 83-98, 2016 | 85 | 2016 |
| A relação do trabalho coletivo do grupo de Educação Física com a gestão da ecologia da aula J Costa, M Onofre, M Martins, A Marques, J Martins Boletim Sociedade Portuguesa de Educação Física, 61-80, 2013 | 84 | 2013 |
| Experiências de formação que tornam o futuro professor de educação física mais confiante no início do estágio M Martins, M Onofre, J Costa Boletim Sociedade Portuguesa de Educação Física, 27-43, 2014 | 77 | 2014 |
| Bioclimatological mapping tackling uncertainty propagation: application to mainland Portugal T Monteiro‐Henriques, MJ Martins, JO Cerdeira, P Silva, P Arsénio, ... International Journal of Climatology 36 (1), 400-411, 2016 | 67 | 2016 |
| Generalized Jackknife semi-parametric estimators of the tail index MI Gomes, MJ Martins, M Neves Portugaliae Mathematica 59 (4), 393-408, 2002 | 61 | 2002 |
| The abundance and distribution of guilds of riparian woody plants change in response to land use and flow regulation FC Aguiar, P Segurado, MJ Martins, MD Bejarano, C Nilsson, MM Portela, ... Journal of Applied Ecology 55 (5), 2227-2240, 2018 | 60 | 2018 |
| Long-term human-generated alterations of Tagus River: Effects of hydrological regulation and land-use changes in distinct river zones MR Fernandes, FC Aguiar, MJ Martins, R Rivaes, MT Ferreira Catena 188, 104466, 2020 | 48 | 2020 |
| A probability-based approach to match species with reserves when data are at different resolutions D Alagador, MJ Martins, JO Cerdeira, M Cabeza, MB Araújo Biological Conservation 144 (2), 811-820, 2011 | 46 | 2011 |
| Carbon stock estimations in a mediterranean riparian forest: A case study combining field data and UAV imagery MR Fernandes, FC Aguiar, MJ Martins, N Rico, MT Ferreira, AC Correia Forests 11 (4), 376, 2020 | 39 | 2020 |
| Riparian forests of S outhwest E urope: are functional trait and species composition assemblages constrained by environment? FC Aguiar, JO Cerdeira, MJ Martins, MT Ferreira Journal of Vegetation Science 24 (4), 628-638, 2013 | 37 | 2013 |
| Generalized jackknife-based estimators for univariate extreme-value modeling MI Gomes, MJ Martins, MM Neves Communications in Statistics-Theory and Methods 42 (7), 1227-1245, 2013 | 33 | 2013 |
| Resampling methodologies and reliable tail estimation MI Gomes, MJ Martins, M Neves, F Figueiredo South African Statistical Journal 49 (1), 1-20, 2015 | 32 | 2015 |
| Revisiting the second order reduced bias “maximum likelihood” tail index estimators MI Gomes, MJ Martins, M Neves Notas e Comunicaçoes CEAUL 10, 2005, 2005 | 28 | 2005 |
| Some results on the behaviour of Hill's estimator M JoÃo Martins, M Ivette Gomes, M Nevas Journal of Statistical Computation and Simulation 63 (3), 283-297, 1999 | 26 | 1999 |
Ivette GomesCEAUL and DEIO, Faculdade de Ciências, Universidade de LisboaE-mail confirmado em fc.ul.pt
