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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:

Overcoming limitations of modelling rare species by using ensembles of small models
Frank T. Breiner, Antoine Guisan, Ariel Bergamini, et al.
Methods in Ecology and Evolution (2015) Vol. 6, Iss. 10, pp. 1210-1218
Open Access | Times Cited: 445

Showing 1-25 of 445 citing articles:

ecospat: an R package to support spatial analyses and modeling of species niches and distributions
Valeria Di Cola, Olivier Broennimann, Blaise Petitpierre, et al.
Ecography (2016) Vol. 40, Iss. 6, pp. 774-787
Closed Access | Times Cited: 980
A standard protocol for reporting species distribution models
Damaris Zurell, Janet Franklin, Christian König, et al.
Ecography (2020) Vol. 43, Iss. 9, pp. 1261-1277
Open Access | Times Cited: 675
A review of evidence about use and performance of species distribution modelling ensembles like BIOMOD
Tianxiao Hao, Jane Elith, Gurutzeta Guillera‐Arroita, et al.
Diversity and Distributions (2019) Vol. 25, Iss. 5, pp. 839-852
Open Access | Times Cited: 478
Model averaging in ecology: a review of Bayesian, information‐theoretic, and tactical approaches for predictive inference
Carsten F. Dormann, Justin M. Calabrese, Gurutzeta Guillera‐Arroita, et al.
Ecological Monographs (2018) Vol. 88, Iss. 4, pp. 485-504
Open Access | Times Cited: 334
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
Joint Species Distribution Modelling
Otso Ovaskainen, Nerea Abrego
(2020)
Closed Access | Times Cited: 281
Species distribution models (SDM): applications, benefits and challenges in invasive species management.
Vivek Srivastava, Valentine Lafond, Verena C. Griess
CABI Reviews (2019), pp. 1-13
Closed Access | Times Cited: 239
Niche Estimation Above and Below the Species Level
Adam B. Smith, William Godsoe, Francisco Rodríguez‐Sánchez, et al.
Trends in Ecology & Evolution (2018) Vol. 34, Iss. 3, pp. 260-273
Open Access | Times Cited: 211
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
flexsdm: An r package for supporting a comprehensive and flexible species distribution modelling workflow
Santiago José Elías Velazco, Miranda Brooke Rose, André Felipe Alves de Andrade, et al.
Methods in Ecology and Evolution (2022) Vol. 13, Iss. 8, pp. 1661-1669
Open Access | Times Cited: 90
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
Modeling and mapping the current and future distribution of Pseudomonas syringae pv. actinidiae under climate change in China
Rulin Wang, Qing Li, Shisong He, et al.
PLoS ONE (2018) Vol. 13, Iss. 2, pp. e0192153-e0192153
Open Access | Times Cited: 143
Conservation planners tend to ignore improved accuracy of modelled species distributions to focus on multiple threats and ecological processes
Ayesha Tulloch, Patricia Sutcliffe, Ilona Naujokaitis‐Lewis, et al.
Biological Conservation (2016) Vol. 199, pp. 157-171
Closed Access | Times Cited: 131
Species distribution models have limited spatial transferability for invasive species
Chunlong Liu, Christian Wolter, Weiwei Xian, et al.
Ecology Letters (2020) Vol. 23, Iss. 11, pp. 1682-1692
Open Access | Times Cited: 129
Testing species assemblage predictions from stacked and joint species distribution models
Damaris Zurell, Niklaus E. Zimmermann, Helge Groß, et al.
Journal of Biogeography (2019) Vol. 47, Iss. 1, pp. 101-113
Open Access | Times Cited: 123
Evolutionary algorithms for species distribution modelling: A review in the context of machine learning
Sacha Gobeyn, Ans Mouton, Anna F. Cord, et al.
Ecological Modelling (2018) Vol. 392, pp. 179-195
Closed Access | Times Cited: 121
Bioenergy cropland expansion may offset positive effects of climate change mitigation for global vertebrate diversity
Christian Hof, Alke Voskamp, Matthias F. Biber, et al.
Proceedings of the National Academy of Sciences (2018) Vol. 115, Iss. 52, pp. 13294-13299
Open Access | Times Cited: 113
Predictor complexity and feature selection affect Maxent model transferability: Evidence from global freshwater invasive species
Bi Wei Low, Yiwen Zeng, Heok Hui Tan, et al.
Diversity and Distributions (2020) Vol. 27, Iss. 3, pp. 497-511
Open Access | Times Cited: 96
Expert-based and correlative models to map habitat quality: Which gives better support to conservation planning?
Mirko Di Febbraro, Lorenzo Sallustio, Matteo Vizzarri, et al.
Global Ecology and Conservation (2018) Vol. 16, pp. e00513-e00513
Open Access | Times Cited: 91
Modelling risks posed by wind turbines and power lines to soaring birds: the black stork (Ciconia nigra) in Italy as a case study
Sonia Smeraldo, Luciano Bosso, Maurizio Fraissinet, et al.
Biodiversity and Conservation (2020) Vol. 29, Iss. 6, pp. 1959-1976
Closed Access | Times Cited: 87
Generalists yet different: distributional responses to climate change may vary in opportunistic bat species sharing similar ecological traits
Sonia Smeraldo, Luciano Bosso, Valeria B. Salinas‐Ramos, et al.
Mammal Review (2021) Vol. 51, Iss. 4, pp. 571-584
Closed Access | Times Cited: 79
Global inequities and political borders challenge nature conservation under climate change
Mark A. Titley, Stuart H. M. Butchart, Victoria R. Jones, et al.
Proceedings of the National Academy of Sciences (2021) Vol. 118, Iss. 7
Open Access | Times Cited: 78
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
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
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