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:

Novel methods to correct for observer and sampling bias in presence‐only species distribution models
Yohann Chauvier, Niklaus E. Zimmermann, Giovanni Poggiato, et al.
Global Ecology and Biogeography (2021) Vol. 30, Iss. 11, pp. 2312-2325
Open Access | Times Cited: 37

Showing 1-25 of 37 citing articles:

MaxEnt brings comparable results when the input data are being completed; Model parameterization of four species distribution models
Mohsen Ahmadi, Mahmoud‐Reza Hemami, Mohammad Kaboli, et al.
Ecology and Evolution (2023) Vol. 13, Iss. 2
Open Access | Times Cited: 81

Different facets of the same niche: Integrating citizen science and scientific survey data to predict biological invasion risk under multiple global change drivers
Mirko Di Febbraro, Luciano Bosso, Mauro Fasola, et al.
Global Change Biology (2023) Vol. 29, Iss. 19, pp. 5509-5523
Open Access | Times Cited: 59

Transnational conservation to anticipate future plant shifts in Europe
Yohann Chauvier, Laura J. Pollock, Peter H. Verburg, et al.
Nature Ecology & Evolution (2024) Vol. 8, Iss. 3, pp. 454-466
Open Access | Times Cited: 16

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

Resolution in species distribution models shapes spatial patterns of plant multifaceted diversity
Yohann Chauvier, Patrice Descombes, Maya Guéguen, et al.
Ecography (2022) Vol. 2022, Iss. 10
Open Access | Times Cited: 46

N‐SDM: a high‐performance computing pipeline for Nested Species Distribution Modelling
Antoine Adde, Pierre‐Louis Rey, Philipp Brun, et al.
Ecography (2023) Vol. 2023, Iss. 6
Open Access | Times Cited: 23

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: 12

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: 10

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

Multispecies deep learning using citizen science data produces more informative plant community models
Philipp Brun, Dirk Nikolaus Karger, Damaris Zurell, et al.
Nature Communications (2024) Vol. 15, Iss. 1
Open Access | Times Cited: 9

Mechanistic models project bird invasions with accuracy
Diederik Strubbe, Laura Jiménez, A. Márcia Barbosa, et al.
Nature Communications (2023) Vol. 14, Iss. 1
Open Access | Times Cited: 20

Plant invasion risk inside and outside protected areas: Propagule pressure, abiotic and biotic factors definitively matter
Vanessa Lozano, Mirko Di Febbraro, Giuseppe Brundu, et al.
The Science of The Total Environment (2023) Vol. 877, pp. 162993-162993
Open Access | Times Cited: 17

Phenological research based on natural history collections: Practical guidelines and a lepidopteran case study
Michael W. Belitz, Elise A. Larsen, Vaughn Shirey, et al.
Functional Ecology (2022) Vol. 37, Iss. 2, pp. 234-247
Closed Access | Times Cited: 26

Investigating the potential of social media and citizen science data to track changes in species' distributions
Daisy O'Neill, Henry Häkkinen, Jessica Neumann, et al.
Ecology and Evolution (2023) Vol. 13, Iss. 5
Open Access | Times Cited: 16

An integrated species distribution modelling framework for heterogeneous biodiversity data
Martin Jung
Ecological Informatics (2023) Vol. 76, pp. 102127-102127
Open Access | Times Cited: 12

Ecological and biological indicators of the accuracy of species distribution models: lessons from European bryophytes
Flavien Collart, Olivier Broennimann, Antoine Guisan, et al.
Ecography (2023) Vol. 2023, Iss. 8
Open Access | Times Cited: 12

Potential suitability areas of Sitobion miscanthi in China based on the MaxEnt model: Implications for management
Zhengxue Zhao, Xueli Feng, Yingjian Wang, et al.
Crop Protection (2024) Vol. 183, pp. 106755-106755
Closed Access | Times Cited: 4

Incorporating effects of habitat patches into species distribution models
Federico Riva, C Martin, Carmen Galán‐Acedo, et al.
Journal of Ecology (2024) Vol. 112, Iss. 10, pp. 2162-2182
Open Access | Times Cited: 4

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

The niche through time: Considering phenology and demographic stages in plant distribution models
Damaris Zurell, Niklaus E. Zimmermann, Philipp Brun
Journal of Ecology (2024) Vol. 112, Iss. 9, pp. 1926-1939
Open Access | Times Cited: 3

Species Distribution Modeling
Jane Elith, Janet Franklin
Elsevier eBooks (2023), pp. 558-572
Closed Access | Times Cited: 8

Revealing the impact of spatial bias in survey design for habitat mapping: a tale of two sampling designs
Stanley Mastrantonis, Tim Langlois, Ben Radford, et al.
Remote Sensing Applications Society and Environment (2024) Vol. 36, pp. 101327-101327
Open Access | Times Cited: 2

Shrinkage-based Bayesian variable selection for species distribution modelling in complex environments: An application to urban biodiversity
Andreas Dietzel, Marco Moretti, Lauren M. Cook
Ecological Informatics (2024) Vol. 81, pp. 102561-102561
Open Access | Times Cited: 2

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