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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:

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

Showing 26-50 of 440 citing articles:

Predictability of Species Distributions Deteriorates Under Novel Environmental Conditions in the California Current System
Barbara Muhling, Stephanie Brodie, James A. Smith, et al.
Frontiers in Marine Science (2020) Vol. 7
Open Access | Times Cited: 74
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
A new joint species distribution model for faster and more accurate inference of species associations from big community data
Maximilian Pichler, Florian Härtig
Methods in Ecology and Evolution (2021) Vol. 12, Iss. 11, pp. 2159-2173
Open Access | Times Cited: 69
Sampling and modelling rare species: Conceptual guidelines for the neglected majority
Aliénor Jeliazkov, Yoni Gavish, Charles J. Marsh, et al.
Global Change Biology (2022) Vol. 28, Iss. 12, pp. 3754-3777
Open Access | Times Cited: 67
Population density estimates for terrestrial mammal species
Luca Santini, Ana Benítez‐López, Carsten F. Dormann, et al.
Global Ecology and Biogeography (2022) Vol. 31, Iss. 5, pp. 978-994
Open Access | Times Cited: 45
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
Microclimate reveals the true thermal niche of forest plant species
Stef Haesen, Jonathan Lenoir, Eva Gril, et al.
Ecology Letters (2023) Vol. 26, Iss. 12, pp. 2043-2055
Open Access | Times Cited: 39
Species distribution modelling of Monotheca buxifolia (Falc.) A. DC.: Present distribution and impacts of potential climate change
Fayaz Ali, Nasrullah Khan, Arshad Mahmood Khan, et al.
Heliyon (2023) Vol. 9, Iss. 2, pp. e13417-e13417
Open Access | Times Cited: 35
Widespread habitat loss and redistribution of marine top predators in a changing ocean
Camrin D. Braun, Nerea Lezama‐Ochoa, Nima Farchadi, et al.
Science Advances (2023) Vol. 9, Iss. 32
Open Access | Times Cited: 35
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
Spatially varying coefficients can improve parsimony and descriptive power for species distribution models
James T. Thorson, Cheryl L. Barnes, Sarah T. Friedman, et al.
Ecography (2023) Vol. 2023, Iss. 5
Open Access | Times Cited: 27
Expanding horizon of invasive alien plants under the interacting effects of global climate change: multifaceted impacts and management prospects
Roger Bruce Syngkli, Prabhat Kumar, Lalnuntluanga
Climate Change Ecology (2025), pp. 100092-100092
Open Access | Times Cited: 1
Spatial resolution matters: unveiling the role of environmental predictors in English yew (Taxus bacata L.) distribution using MaxEnt modeling
Shadi Habibi Kilak, Seyed Jalil Alavi, Omid Esmailzadeh
Earth Science Informatics (2025) Vol. 18, Iss. 2
Closed Access | Times Cited: 1
Detecting parasite associations within multi-species host and parasite communities
Tad Dallas, Anna‐Liisa Laine, Otso Ovaskainen
Proceedings of the Royal Society B Biological Sciences (2019) Vol. 286, Iss. 1912, pp. 20191109-20191109
Open Access | Times Cited: 63
Defining and evaluating predictions of joint species distribution models
David P. Wilkinson, Nick Golding, Gurutzeta Guillera‐Arroita, et al.
Methods in Ecology and Evolution (2020) Vol. 12, Iss. 3, pp. 394-404
Open Access | Times Cited: 58
Predicting potential mangrove distributions at the global northern distribution margin using an ecological niche model: Determining conservation and reforestation involvement
Wenjia Hu, Yuyu Wang, Peng Dong, et al.
Forest Ecology and Management (2020) Vol. 478, pp. 118517-118517
Closed Access | Times Cited: 57
Where did they not go? Considerations for generating pseudo-absences for telemetry-based habitat models
Elliott L. Hazen, Briana Abrahms, Stephanie Brodie, et al.
Movement Ecology (2021) Vol. 9, Iss. 1
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
Coding for Life: Designing a Platform for Projecting and Protecting Global Biodiversity
Mark C. Urban, Justin M. J. Travis, Damaris Zurell, et al.
BioScience (2021) Vol. 72, Iss. 1, pp. 91-104
Open Access | Times Cited: 47
Scale dependency of joint species distribution models challenges interpretation of biotic interactions
Christian König, Rafael O. Wüest, Catherine H. Graham, et al.
Journal of Biogeography (2021) Vol. 48, Iss. 7, pp. 1541-1551
Open Access | Times Cited: 45
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
Disentangling spatial and environmental effects: Flexible methods for community ecology and macroecology
Duarte S. Viana, Petr Keil, Aliénor Jeliazkov
Ecosphere (2022) Vol. 13, Iss. 4
Open Access | Times Cited: 35
Using MaxEnt to Predict the Potential Distribution of the Little Fire Ant (Wasmannia auropunctata) in China
Mengfei Mao, Siqi Chen, Zengyuan Ke, et al.
Insects (2022) Vol. 13, Iss. 11, pp. 1008-1008
Open Access | Times Cited: 34
A Scoping Review of Species Distribution Modeling Methods for Tick Vectors
Heather L. Kopsco, Rebecca L. Smith, Samniqueka J. Halsey
Frontiers in Ecology and Evolution (2022) Vol. 10
Open Access | Times Cited: 29
Species distributions models may predict accurately future distributions but poorly how distributions change: A critical perspective on model validation
Sirke Piirainen, Aleksi Lehikoinen, Magne Husby, et al.
Diversity and Distributions (2023) Vol. 29, Iss. 5, pp. 654-665
Open Access | Times Cited: 21

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