Novel methods improve prediction of species’ distributions from occurrence data J Elith*, C H. Graham*, R P. Anderson, M Dudík, S Ferrier, A Guisan, ... Ecography 29 (2), 129-151, 2006 | 10142 | 2006 |

Predicting species distributions from small numbers of occurrence records: a test case using cryptic geckos in Madagascar RG Pearson, CJ Raxworthy, M Nakamura, A Townsend Peterson Journal of biogeography 34 (1), 102-117, 2007 | 3892 | 2007 |

Ecological niches and geographic distributions (MPB-49) AT Peterson, J Soberón, RG Pearson, RP Anderson, E Martínez-Meyer, ... Princeton University Press, 2011 | 3532 | 2011 |

Niches and distributional areas: concepts, methods, and assumptions J Soberón, M Nakamura Proceedings of the National Academy of Sciences 106 (Supplement 2), 19644-19650, 2009 | 1449 | 2009 |

Gauss-Markov measure field models for low-level vision JL Marroquin, FA Velasco, M Rivera, M Nakamura IEEE Transactions on Pattern Analysis and Machine Intelligence 23 (4), 337-348, 2001 | 81 | 2001 |

Use of an empirical probability generating function for testing a Poisson model M Nakamura, V PÉrez‐Abreu Canadian Journal of Statistics 21 (2), 149-156, 1993 | 52 | 1993 |

Sequential stopping rules for species accumulation JA Christen, M Nakamura Journal of agricultural, biological, and environmental statistics 8 (2), 184-195, 2003 | 34 | 2003 |

On the analysis of accumulation curves JA Christen, M Nakamura Biometrics 56 (3), 748-754, 2000 | 33 | 2000 |

Prediction of potential areas of species distributions based on presence-only data JA Argáez, JA Christen, M Nakamura, J Soberón Environmental and Ecological Statistics 12 (1), 27-44, 2005 | 32 | 2005 |

Empirical probability generating function: An overview M Nakamura, V Perez-Abreu Insurance: Mathematics and Economics 12 (3), 287-295, 1993 | 32 | 1993 |

Estimation of spatial sampling effort based on presence-only data and accessibility D Fernández, M Nakamura Ecological Modelling 299, 147-155, 2015 | 31 | 2015 |

Estimating parameters for discrete distributions via the empirical probability generating function MM Dowling, M Nakamura Communications in Statistics-Simulation and Computation 26 (1), 301-313, 1997 | 20 | 1997 |

Use of approximate inference in an index of completeness of biological inventories M Nakamura, J Soberón Conservation Biology 23 (2), 469-474, 2009 | 19 | 2009 |

Estimation of a multivariate Box-Cox transformation to elliptical symmetry via the empirical characteristic function AJ Quiroz, M Nakamura, FJ Pérez Annals of the Institute of Statistical Mathematics 48 (4), 687-709, 1996 | 19 | 1996 |

A prospective cohort study to evaluate peridomestic infection as a determinant of dengue transmission: Protocol RA Martínez-Vega, R Danis-Lozano, J Velasco-Hernández, ... BMC Public Health 12 (1), 1-11, 2012 | 18 | 2012 |

Environmental heterogeneity explains coarse–scale β–diversity of terrestrial vertebrates in Mexico P Rodríguez, LM Ochoa–Ochoa, M Munguía, V Sánchez–Cordero, ... PloS one 14 (1), e0210890, 2019 | 16 | 2019 |

Does behavioural thermoregulation help pregnant Sceloporus adleri lizards in dealing with fast environmental temperature rise? S López-Alcaide, M Nakamura, R Macip-Rios, E Martinez-Meyer The Herpetological Journal 24 (1), 41-47, 2014 | 13 | 2014 |

Exploratory data analysis for counts using the empirical probability generating function M Nakamura, V Pérez-Abreu Communications in Statistics-Theory and Methods 22 (3), 827-842, 1993 | 12 | 1993 |

Species accumulation for beta distributed recording probabilities M Nakamura, F Peraza Journal of Agricultural, Biological, and Environmental Statistics, 17-36, 1998 | 10 | 1998 |

Statistical inference for extinction rates based on last sightings M Nakamura, P del Monte-Luna, D Lluch-Belda, SE Lluch-Cota Journal of theoretical biology 333, 166-173, 2013 | 9 | 2013 |