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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:

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: 207

Showing 1-25 of 207 citing articles:

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
Forest microclimates and climate change: Importance, drivers and future research agenda
Pieter De Frenne, Jonathan Lenoir, Miska Luoto, et al.
Global Change Biology (2021) Vol. 27, Iss. 11, pp. 2279-2297
Open Access | Times Cited: 649
Monitoring biodiversity in the Anthropocene using remote sensing in species distribution models
Christophe F. Randin, Michael B. Ashcroft, Janine Bolliger, et al.
Remote Sensing of Environment (2020) Vol. 239, pp. 111626-111626
Open Access | Times Cited: 223
Species distribution modelling to support forest management. A literature review
Matteo Pecchi, Maurizio Marchi, Vanessa Burton, et al.
Ecological Modelling (2019) Vol. 411, pp. 108817-108817
Closed Access | Times Cited: 185
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
Snow cover is a neglected driver of Arctic biodiversity loss
Pekka Niittynen, Risto K. Heikkinen, Miska Luoto
Nature Climate Change (2018) Vol. 8, Iss. 11, pp. 997-1001
Closed Access | Times Cited: 134
Using worldwide edaphic data to model plant species niches: An assessment at a continental extent
Santiago José Elías Velazco, Franklin Galvão, Fabricio Villalobos, et al.
PLoS ONE (2017) Vol. 12, Iss. 10, pp. e0186025-e0186025
Open Access | Times Cited: 117
Climatic predictors of species distributions neglect biophysiologically meaningful variables
Alexandra S. Gardner, Ilya M. D. Maclean, Kevin J. Gaston
Diversity and Distributions (2019) Vol. 25, Iss. 8, pp. 1318-1333
Open Access | Times Cited: 99
Less favourable climates constrain demographic strategies in plants
Anna Mária Csergő, Roberto Salguero‐Gómez, Olivier Broennimann, et al.
Ecology Letters (2017) Vol. 20, Iss. 8, pp. 969-980
Open Access | Times Cited: 95
Tree species distribution in temperate forests is more influenced by soil than by climate
Lorenz Walthert, Eliane S. Meier
Ecology and Evolution (2017) Vol. 7, Iss. 22, pp. 9473-9484
Open Access | Times Cited: 94
Influence of climate, soil, and land cover on plant species distribution in the European Alps
Yohann Chauvier, Wilfried Thuiller, Philipp Brun, et al.
Ecological Monographs (2020) Vol. 91, Iss. 2
Open Access | Times Cited: 91
Decreasing snow cover alters functional composition and diversity of Arctic tundra
Pekka Niittynen, Risto K. Heikkinen, Miska Luoto
Proceedings of the National Academy of Sciences (2020) Vol. 117, Iss. 35, pp. 21480-21487
Open Access | Times Cited: 75
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
Climatic niche shifts in introduced species
Olivia Bates, Cléo Bertelsmeier
Current Biology (2021) Vol. 31, Iss. 19, pp. R1252-R1266
Closed Access | Times Cited: 67
Microclimate‐based species distribution models in complex forested terrain indicate widespread cryptic refugia under climate change
Jordan R. Stark, Jason D. Fridley
Global Ecology and Biogeography (2022) Vol. 31, Iss. 3, pp. 562-575
Closed Access | Times Cited: 59
The rise and fall of an alien: why the successful colonizer Littorina saxatilis failed to invade the Mediterranean Sea
Luciano Bosso, Sonia Smeraldo, Danilo Russo, et al.
Biological Invasions (2022) Vol. 24, Iss. 10, pp. 3169-3187
Closed Access | Times Cited: 57
Flexible species distribution modelling methods perform well on spatially separated testing data
Roozbeh Valavi, Jane Elith, José J. Lahoz‐Monfort, et al.
Global Ecology and Biogeography (2023) Vol. 32, Iss. 3, pp. 369-383
Open Access | Times Cited: 41
Too many candidates: Embedded covariate selection procedure for species distribution modelling with the covsel R package
Antoine Adde, Pierre‐Louis Rey, Fabian Fopp, et al.
Ecological Informatics (2023) Vol. 75, pp. 102080-102080
Open Access | Times Cited: 39
On the use of global DEMs in ecological modelling and the accuracy of new bare-earth DEMs
Vítězslav Moudrý, Vincent Lecours, Kateřina Gdulová, et al.
Ecological Modelling (2018) Vol. 383, pp. 3-9
Closed Access | Times Cited: 78
Soil factors improve predictions of plant species distribution in a mountain environment
Aline Buri, Carmen Cianfrani, Eric Pinto‐Figueroa, et al.
Progress in Physical Geography Earth and Environment (2017) Vol. 41, Iss. 6, pp. 703-722
Closed Access | Times Cited: 73
The effect of topography on arctic-alpine aboveground biomass and NDVI patterns
Henri Riihimäki, Janne Heiskanen, Miska Luoto
International Journal of Applied Earth Observation and Geoinformation (2016) Vol. 56, pp. 44-53
Closed Access | Times Cited: 71
Lost at high latitudes: Arctic and endemic plants under threat as climate warms
Annina Niskanen, Pekka Niittynen, Juha Aalto, et al.
Diversity and Distributions (2019) Vol. 25, Iss. 5, pp. 809-821
Open Access | Times Cited: 67
Machine-learning based reconstructions of primary and secondary climate variables from North American and European fossil pollen data
J. Sakari Salonen, Mikko Korpela, John W. Williams, et al.
Scientific Reports (2019) Vol. 9, Iss. 1
Open Access | Times Cited: 64
Competition and demography rather than dispersal limitation slow down upward shifts of trees’ upper elevation limits in the Alps
Daniel Scherrer, Yann Vitasse, Antoine Guisan, et al.
Journal of Ecology (2020) Vol. 108, Iss. 6, pp. 2416-2430
Open Access | Times Cited: 63
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
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