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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:

Measuring the relative effect of factors affecting species distribution model predictions
Emeric Thibaud, Blaise Petitpierre, Olivier Broennimann, et al.
Methods in Ecology and Evolution (2014) Vol. 5, Iss. 9, pp. 947-955
Open Access | Times Cited: 138

Showing 1-25 of 138 citing articles:

A comprehensive evaluation of predictive performance of 33 species distribution models at species and community levels
Anna Norberg, Nerea Abrego, F. Guillaume Blanchet, et al.
Ecological Monographs (2019) Vol. 89, Iss. 3
Open Access | Times Cited: 440
A comparison between Ensemble and MaxEnt species distribution modelling approaches for conservation: A case study with Egyptian medicinal plants
Emad Kaky, Victoria Nolan, Abdulaziz S. Alatawi, et al.
Ecological Informatics (2020) Vol. 60, pp. 101150-101150
Closed Access | Times Cited: 320
Want to model a species niche? A step-by-step guideline on correlative ecological niche modelling
Neftalí Sillero, Salvador Arenas‐Castro, Urtzi Enriquez‐Urzelai, et al.
Ecological Modelling (2021) Vol. 456, pp. 109671-109671
Closed Access | Times Cited: 301
virtualspecies, an R package to generate virtual species distributions
Boris Leroy, Christine N. Meynard, Céline Bellard, et al.
Ecography (2015) Vol. 39, Iss. 6, pp. 599-607
Open Access | Times Cited: 256
A synthesis of transplant experiments and ecological niche models suggests that range limits are often niche limits
Julie A. Lee‐Yaw, Heather M. Kharouba, Megan Bontrager, et al.
Ecology Letters (2016) Vol. 19, Iss. 6, pp. 710-722
Closed Access | Times Cited: 223
What we use is not what we know: environmental predictors in plant distribution models
Heidi K. Mod, Daniel Scherrer, Miska Luoto, et al.
Journal of Vegetation Science (2016) Vol. 27, Iss. 6, pp. 1308-1322
Open Access | Times Cited: 210
Disentangling biotic interactions, environmental filters, and dispersal limitation as drivers of species co‐occurrence
Manuela D’Amen, Heidi K. Mod, Nicholas J. Gotelli, et al.
Ecography (2017) Vol. 41, Iss. 8, pp. 1233-1244
Closed Access | Times Cited: 205
Optimizing ensembles of small models for predicting the distribution of species with few occurrences
Frank T. Breiner, Michael P. Nobis, Ariel Bergamini, et al.
Methods in Ecology and Evolution (2018) Vol. 9, Iss. 4, pp. 802-808
Open Access | Times Cited: 184
Maxent is not a presence–absence method: a comment on Thibaud et al.
Gurutzeta Guillera‐Arroita, José J. Lahoz‐Monfort, Jane Elith
Methods in Ecology and Evolution (2014) Vol. 5, Iss. 11, pp. 1192-1197
Open Access | Times Cited: 144
MaxEnt Modeling for Predicting the Current and Future Potential Geographical Distribution of Quercus libani Olivier
H. Oğuz Çoban, Ömer K. Örücü, E. Seda Arslan
Sustainability (2020) Vol. 12, Iss. 7, pp. 2671-2671
Open Access | Times Cited: 130
Which species distribution models are more (or less) likely to project broad-scale, climate-induced shifts in species ranges?
Linda J. Beaumont, Erin Graham, Daisy Englert Duursma, et al.
Ecological Modelling (2016) Vol. 342, pp. 135-146
Closed Access | Times Cited: 117
Effects of spatial autocorrelation and imperfect detection on species distribution models
Jérôme Guélat, Marc Kéry
Methods in Ecology and Evolution (2018) Vol. 9, Iss. 6, pp. 1614-1625
Open Access | Times Cited: 113
Performance tradeoffs in target‐group bias correction for species distribution models
Nathan Ranc, Luca Santini, Carlo Rondinini, et al.
Ecography (2016) Vol. 40, Iss. 9, pp. 1076-1087
Closed Access | Times Cited: 91
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
Accounting for niche truncation to improve spatial and temporal predictions of species distributions
Mathieu Chevalier, Alejandra Zarzo‐Arias, Jérôme Guélat, et al.
Frontiers in Ecology and Evolution (2022) Vol. 10
Open Access | Times Cited: 49
Correlations between spatial sampling biases and environmental niches affect species distribution models
D. James Baker, Ilya M. D. Maclean, Martin Goodall, et al.
Global Ecology and Biogeography (2022) Vol. 31, Iss. 6, pp. 1038-1050
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
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
Optimising occurrence data in species distribution models: sample size, positional uncertainty, and sampling bias matter
Vítězslav Moudrý, Manuele Bazzichetto, Ruben Remelgado, et al.
Ecography (2024)
Open Access | Times Cited: 13
How sensitive are species distribution models to different background point selection strategies? A test with species at various equilibrium levels
Bart Steen, Olivier Broennimann, Luigi Maiorano, et al.
Ecological Modelling (2024) Vol. 493, pp. 110754-110754
Open Access | Times Cited: 12
Identifying predictable foraging habitats for a wide‐ranging marine predator using ensemble ecological niche models
Kylie L. Scales, Peter I. Miller, Simon N. Ingram, et al.
Diversity and Distributions (2015) Vol. 22, Iss. 2, pp. 212-224
Open Access | Times Cited: 91
Effects of simulated observation errors on the performance of species distribution models
Rui F. Fernandes, Daniel Scherrer, Antoine Guisan
Diversity and Distributions (2018) Vol. 25, Iss. 3, pp. 400-413
Open Access | Times Cited: 62
Spatially explicit species distribution models: A missed opportunity in conservation planning?
Sami Domisch, Martin Friedrichs‐Manthey, Thomas Hein, et al.
Diversity and Distributions (2019) Vol. 25, Iss. 5, pp. 758-769
Open Access | Times Cited: 61
Can habitat suitability estimated from MaxEnt predict colonizations and extinctions?
Simon Venne, David J. Currie
Diversity and Distributions (2021) Vol. 27, Iss. 5, pp. 873-886
Open Access | Times Cited: 54
Improving prediction of rare species’ distribution from community data
Chongliang Zhang, Yong Chen, Binduo Xu, et al.
Scientific Reports (2020) Vol. 10, Iss. 1
Open Access | Times Cited: 52
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