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OpenAlex Citation Counts

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OpenAlex is a bibliographic catalogue of scientific papers, authors and institutions accessible in open access mode, named after the Library of Alexandria. It's citation coverage is excellent and I hope you will find utility in this listing of citing articles!

If you click the article title, you'll navigate to the article, as listed in CrossRef. If you click the Open Access links, you'll navigate to the "best Open Access location". Clicking the citation count will open this listing for that article. Lastly at the bottom of the page, you'll find basic pagination options.

Requested Article:

Testing methods in species distribution modelling using virtual species: what have we learnt and what are we missing?
Christine N. Meynard, Boris Leroy, David M. Kaplan
Ecography (2019) Vol. 42, Iss. 12, pp. 2021-2036
Open Access | Times Cited: 84

Showing 1-25 of 84 citing articles:

Assessing the reliability of species distribution projections in climate change research
Luca Santini, Ana Benítez‐López, Luigi Maiorano, et al.
Diversity and Distributions (2021) Vol. 27, Iss. 6, pp. 1035-1050
Open Access | Times Cited: 194
Top ten hazards to avoid when modeling species distributions: a didactic guide of assumptions, problems, and recommendations
Mariano Soley‐Guardia, Diego F. Alvarado‐Serrano, Robert P. Anderson
Ecography (2024) Vol. 2024, Iss. 4
Open Access | Times Cited: 38
Integrating food webs in species distribution models can improve ecological niche estimation and predictions
Giovanni Poggiato, Jérémy Andréoletti, Laura J. Pollock, et al.
Ecography (2025)
Open Access | Times Cited: 2
Trade‐offs in covariate selection for species distribution models: a methodological comparison
Stephanie Brodie, James T. Thorson, Gemma Carroll, et al.
Ecography (2019) Vol. 43, Iss. 1, pp. 11-24
Open Access | Times Cited: 102
A quantitative review of abundance‐based species distribution models
Conor Waldock, Rick D. Stuart‐Smith, Camille Albouy, et al.
Ecography (2021) Vol. 2022, Iss. 1
Open Access | Times Cited: 95
Evaluation metrics and validation of presence-only species distribution models based on distributional maps with varying coverage
Kamil Konowalik, Agata Nosol
Scientific Reports (2021) Vol. 11, Iss. 1
Open Access | Times Cited: 91
Target‐group backgrounds prove effective at correcting sampling bias in Maxent models
Robert A. Barber, Stuart G. Ball, Roger Morris, et al.
Diversity and Distributions (2021) Vol. 28, Iss. 1, pp. 128-141
Open Access | Times Cited: 87
Evaluating presence‐only species distribution models with discrimination accuracy is uninformative for many applications
Dan L. Warren, Nicholas J. Matzke, Teresa L. Iglesias
Journal of Biogeography (2019) Vol. 47, Iss. 1, pp. 167-180
Open Access | Times Cited: 82
Testing the ability of species distribution models to infer variable importance
Adam B. Smith, Maria J. Santos
Ecography (2020) Vol. 43, Iss. 12, pp. 1801-1813
Open Access | Times Cited: 74
Comparing sample bias correction methods for species distribution modeling using virtual species
Richard D. Inman, Janet Franklin, Todd C. Esque, et al.
Ecosphere (2021) Vol. 12, Iss. 3
Closed Access | Times Cited: 71
Recommendations for quantifying and reducing uncertainty in climate projections of species distributions
Stephanie Brodie, James A. Smith, Barbara Muhling, et al.
Global Change Biology (2022) Vol. 28, Iss. 22, pp. 6586-6601
Open Access | Times Cited: 50
Worldclim 2.1 versus Worldclim 1.4: Climatic niche and grid resolution affect between‐version mismatches in Habitat Suitability Models predictions across Europe
Francesco Cerasoli, Paola D’Alessandro, Maurizio Biondi
Ecology and Evolution (2022) Vol. 12, Iss. 2
Open Access | Times Cited: 47
Assessing the effect of sample bias correction in species distribution models
Nicolas Dubos, Clémentine Préau, Maxime Lenormand, et al.
Ecological Indicators (2022) Vol. 145, pp. 109487-109487
Open Access | Times Cited: 40
Including imprecisely georeferenced specimens improves accuracy of species distribution models and estimates of niche breadth
Adam B. Smith, Stephen J. Murphy, D. Henderson, et al.
Global Ecology and Biogeography (2023) Vol. 32, Iss. 3, pp. 342-355
Open Access | Times Cited: 38
Modeling the rarest of the rare: a comparison between multi‐species distribution models, ensembles of small models, and single‐species models at extremely low sample sizes
Kelley D. Erickson, Adam B. Smith
Ecography (2023) Vol. 2023, Iss. 6
Open Access | Times Cited: 31
Herbarium collections remain essential in the age of community science
Isaac Eckert, Anne Bruneau, Deborah A. Metsger, et al.
Nature Communications (2024) Vol. 15, Iss. 1
Open Access | Times Cited: 10
Modelling the spatial distribution of cetaceans in New Zealand waters
F Stephenson, Kimberly T. Goetz, Ben R. Sharp, et al.
Diversity and Distributions (2020) Vol. 26, Iss. 4, pp. 495-516
Open Access | Times Cited: 57
The impact of data quality filtering of opportunistic citizen science data on species distribution model performance
Camille Van Eupen, Dirk Maes, Marc Herremans, et al.
Ecological Modelling (2021) Vol. 444, pp. 109453-109453
Open Access | Times Cited: 47
Species Distribution Modeling for Machine Learning Practitioners: A Review
Sara Beery, Elijah Cole, Joseph Parker, et al.
(2021), pp. 329-348
Open Access | Times Cited: 45
A quixotic view of spatial bias in modelling the distribution of species and their diversity
Duccio Rocchini, Enrico Tordoni, Elisa Marchetto, et al.
npj Biodiversity (2023) Vol. 2, Iss. 1
Open Access | Times Cited: 20
Small to train, small to test: Dealing with low sample size in model evaluation
Flavien Collart, Antoine Guisan
Ecological Informatics (2023) Vol. 75, pp. 102106-102106
Open Access | Times Cited: 18
USE it: Uniformly sampling pseudo‐absences within the environmental space for applications in habitat suitability models
Daniele Da Re, Enrico Tordoni, Jonathan Lenoir, et al.
Methods in Ecology and Evolution (2023) Vol. 14, Iss. 11, pp. 2873-2887
Open Access | Times Cited: 17
Bias correction in species distribution models based on geographic and environmental characteristics
Quanli Xu, Xiao Wang, Junhua Yi, et al.
Ecological Informatics (2024) Vol. 81, pp. 102604-102604
Open Access | Times Cited: 7
A sequential multi-level framework to improve habitat suitability modelling
Chloe Bellamy, Katherine L. Boughey, Charlotte Hawkins, et al.
Landscape Ecology (2020) Vol. 35, Iss. 4, pp. 1001-1020
Open Access | Times Cited: 44
Positional errors in species distribution modelling are not overcome by the coarser grains of analysis
Lukáš Gábor, Walter Jetz, Muyang Lu, et al.
Methods in Ecology and Evolution (2022) Vol. 13, Iss. 10, pp. 2289-2302
Open Access | Times Cited: 27
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