Open Access Helper

OpenAlex Citation Counts

OpenAlex Citations Logo

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:

Bunching up the background betters bias in species distribution models
Julien Vollering, Rune Halvorsen, Inger Auestad, et al.
Ecography (2019) Vol. 42, Iss. 10, pp. 1717-1727
Open Access | Times Cited: 77

Showing 1-25 of 77 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: 187
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: 85
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: 36
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: 86
Spatial thinning and class balancing: Key choices lead to variation in the performance of species distribution models with citizen science data
Valerie A. Steen, Morgan W. Tingley, Peter W. C. Paton, et al.
Methods in Ecology and Evolution (2020) Vol. 12, Iss. 2, pp. 216-226
Open Access | Times Cited: 82
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: 70
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: 46
Ecological Niche Modelling Approaches: Challenges and Applications in Vector-Borne Diseases
Pablo Cuervo, Patricio Artigas, Jacob Lorenzo‐Morales, et al.
Tropical Medicine and Infectious Disease (2023) Vol. 8, Iss. 4, pp. 187-187
Open Access | Times Cited: 36
Effective strategies for correcting spatial sampling bias in species distribution models without independent test data
D. James Baker, Ilya M. D. Maclean, Kevin J. Gaston
Diversity and Distributions (2024) Vol. 30, Iss. 3
Open Access | Times Cited: 9
Shifts in bird ranges and conservation priorities in China under climate change
Ruocheng Hu, Yiyun Gu, Mei Luo, et al.
PLoS ONE (2020) Vol. 15, Iss. 10, pp. e0240225-e0240225
Open Access | Times Cited: 51
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: 46
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: 38
Evaluating sampling bias correction methods for invasive species distribution modeling in Maxent
Frederic Sorbe, Tobias Gränzig, Michael Förster
Ecological Informatics (2023) Vol. 76, pp. 102124-102124
Closed Access | Times Cited: 22
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: 19
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
No optimal spatial filtering distance for mitigating sampling bias in ecological niche models
Quentin Lamboley, Yoan Fourcade
Journal of Biogeography (2024) Vol. 51, Iss. 9, pp. 1783-1794
Closed Access | Times Cited: 6
On the road: Anthropogenic factors drive the invasion risk of a wild solitary bee species
Julia Lanner, Nicolas Dubos, Benoît Geslin, et al.
The Science of The Total Environment (2022) Vol. 827, pp. 154246-154246
Open Access | Times Cited: 25
Practical guide for retaining correlated climate variables and unthinned samples in species distribution modeling, using random forests
Brice B. Hanberry
Ecological Informatics (2023) Vol. 79, pp. 102406-102406
Open Access | Times Cited: 16
Fine-tuning niche models matters in invasion ecology. A lesson from the land planarian Obama nungara.
Yoan Fourcade
Ecological Modelling (2021) Vol. 457, pp. 109686-109686
Open Access | Times Cited: 28
Species distribution models affected by positional uncertainty in species occurrences can still be ecologically interpretable
Lukáš Gábor, Walter Jetz, Alejandra Zarzo‐Arias, et al.
Ecography (2023) Vol. 2023, Iss. 6
Open Access | Times Cited: 11
Disequilibrium in plant distributions: Challenges and approaches for species distribution models
Brody Sandel, Cory Merow, Pep Serra‐Diaz, et al.
Journal of Ecology (2025)
Closed Access
Predicted population declines driven by climate change can be mitigated with a new protected area in endemic tetrapods from Madagascar
Nicolas Dubos, Pauline Jitten, Frédérique Montfort, et al.
Journal for Nature Conservation (2025), pp. 126925-126925
Open Access
Predicting the potential distribution of the Gila Monster and evaluating the extent of protected natural areas for conservation
Carson S. Gehman, C. M. Gienger
Journal for Nature Conservation (2025), pp. 126944-126944
Closed Access
High-resolution habitat suitability maps for all widespread Italian breeding bird species
Mattia Brambilla, Luca Ilahiane, Enrico Caprio, et al.
Scientific Data (2025) Vol. 12, Iss. 1
Open Access
Competition mediates understorey species range shifts under climate change
Pieter Sanczuk, Emiel De Lombaerde, Stef Haesen, et al.
Journal of Ecology (2022) Vol. 110, Iss. 8, pp. 1813-1825
Open Access | Times Cited: 18
Page 1 - Next Page

Scroll to top