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D-Index & Metrics

Ecology and Evolution

D-Index
38
Citations
56424
World Ranking
6490
National Ranking
2190

Overview

Robert P. Anderson is affiliated with the City College of New York in the United States. Their research spans the field of Environmental Science, with particular focus on subfields such as Ecological Modeling, Ecology, Nature and Landscape Conservation, Genetics, and Artificial Intelligence.

Anderson's work is largely concentrated on main topics including Species Distribution and Climate Change, Wildlife Ecology and Conservation, Ecology and Vegetation Dynamics Studies, Genetic diversity and population structure, Data Analysis with R, Zoonotic diseases and public health, and Environmental DNA in Biodiversity Studies.

The scientist has published several papers in prominent venues. Notable recent publications include:

  • ENMeval 2.0: Redesigned for customizable and reproducible modeling of species' niches and distributions, 2021, Methods in Ecology and Evolution
  • wallace 2: a shiny app for modeling species niches and distributions redesigned to facilitate expansion via module contributions, 2023, Ecography
  • Top ten hazards to avoid when modeling species distributions: a didactic guide of assumptions, problems, and recommendations, 2024, Ecography
  • Optimizing biodiversity informatics to improve information flow, data quality, and utility for science and society, 2020, Frontiers of Biogeography
  • Improving area of occupancy estimates for parapatric species using distribution models and support vector machines, 2020, Ecological Applications

Frequent co-authors working alongside Anderson include:

  • Jamie M. Kass
  • Gonzalo E. Pinilla-Buitrago
  • Bethany A. Johnson
  • Sarah I. Meenan
  • Matthew E. Aiello-Lammens

The venues where Anderson has frequently published comprise:

  • Ecography
  • Frontiers of Biogeography
  • Methods in Ecology and Evolution
  • Ecological Applications
  • Global Change Biology

Best Publications

  • Maximum entropy modeling of species geographic distributions

    Steven J. Phillips;Robert P. Anderson;Robert P. Anderson;Robert E. Schapire

  • Novel methods improve prediction of species' distributions from occurrence data

    Jane Elith;Catherine H. Graham;Robert P. Anderson;Miroslav Dudík

  • Opening the black box: an open-source release of Maxent

    Steven J. Phillips;Robert P. Anderson;Robert P. Anderson;Miroslav Dudík;Robert E. Schapire

  • Ecological Niches and Geographic Distributions (MPB-49)

    A. Townsend Peterson;Jorge Soberón;Richard G. Pearson;Robert P. Anderson

  • spThin: an R package for spatial thinning of species occurrence records for use in ecological niche models

    Matthew E. Aiello-Lammens;Matthew E. Aiello-Lammens;Robert A. Boria;Aleksandar Radosavljevic;Bruno Vilela

  • ENMeval: An R package for conducting spatially independent evaluations and estimating optimal model complexity for Maxent ecological niche models

    Robert Muscarella;Peter J. Galante;Mariano Soley‐Guardia;Robert A. Boria

  • Evaluating predictive models of species’ distributions: criteria for selecting optimal models

    Robert P Anderson;Daniel Lew;A.Townsend Peterson

  • Making better Maxent models of species distributions: complexity, overfitting and evaluation

    Aleksandar Radosavljevic;Robert P. Anderson;Robert P. Anderson

  • Ecological Niches and Geographic Distributions

    AT Peterson;J Soberon;RG Pearson;RP Anderson

  • Spatial filtering to reduce sampling bias can improve the performance of ecological niche models

    Robert A. Boria;Link E. Olson;Steven M. Goodman;Robert P. Anderson;Robert P. Anderson

  • Standards for distribution models in biodiversity assessments

    Miguel B. Araujo;Miguel B. Araujo;Miguel B. Araujo;Robert P. Anderson;Robert P. Anderson;Robert P. Anderson;A. Marcia Barbosa;Colin Michael Beale

  • The effect of the extent of the study region on GIS models of species geographic distributions and estimates of niche evolution: preliminary tests with montane rodents (genus Nephelomys) in Venezuela

    Robert P. Anderson;Robert P. Anderson;Ali Raza

  • Estimating optimal complexity for ecological niche models: A jackknife approach for species with small sample sizes

    Mariya Shcheglovitova;Robert P. Anderson;Robert P. Anderson

  • Species-specific tuning increases robustness to sampling bias in models of species distributions: An implementation with Maxent

    Robert P. Anderson;Robert P. Anderson;Israel Gonzalez

  • ENMeval 2.0: Redesigned for customizable and reproducible modeling of species’ niches and distributions

    Jamie M. Kass;Jamie M. Kass;Robert Muscarella;Peter J. Galante;Corentin L. Bohl

  • Using niche-based GIS modeling to test geographic predictions of competitive exclusion and competitive release in South American pocket mice

    Robert P. Anderson;A. Townsend Peterson;Marcela Gómez‐Laverde

  • Geographical distributions of spiny pocket mice in South America: insights from predictive models

    Robert P. Anderson;Marcela Gomez-Laverde;A. Townsend Peterson

  • Environmental filters reduce the effects of sampling bias and improve predictions of ecological niche models

    Sara Varela;Sara Varela;Robert P. Anderson;Robert P. Anderson;Raúl García-Valdés;Raúl García-Valdés;Raúl García-Valdés;Federico Fernández-González

  • Modeling species’ geographic distributions for preliminary conservation assessments: an implementation with the spiny pocket mice (Heteromys) of Ecuador

    Robert P. Anderson;Enrique Martı́nez-Meyer

  • A framework for using niche models to estimate impacts of climate change on species distributions

    Robert P. Anderson

Frequent Co-Authors

A. Townsend Peterson
A. Townsend Peterson University of Kansas
Enrique Martínez-Meyer
Enrique Martínez-Meyer National Autonomous University of Mexico
Miguel B. Araújo
Miguel B. Araújo University of Évora
Richard G. Pearson
Richard G. Pearson University College London
Robert Muscarella
Robert Muscarella Uppsala University
Antoine Guisan
Antoine Guisan University of Lausanne
Cory Merow
Cory Merow University of Connecticut
Jorge M. Lobo
Jorge M. Lobo Spanish National Research Council
Robert M. Timm
Robert M. Timm University of Kansas
Robert E. Schapire
Robert E. Schapire Microsoft (United States)

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