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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:

Spatiotemporal prediction of wildfire size extremes with Bayesian finite sample maxima
Maxwell B. Joseph, Matthew W. Rossi, Nathan Mietkiewicz, et al.
Ecological Applications (2019) Vol. 29, Iss. 6
Open Access | Times Cited: 75

Showing 1-25 of 75 citing articles:

U.S. fires became larger, more frequent, and more widespread in the 2000s
Virginia Iglesias, Jennifer K. Balch, William R. Travis
Science Advances (2022) Vol. 8, Iss. 11
Open Access | Times Cited: 183
Warming weakens the night-time barrier to global fire
Jennifer K. Balch, John T. Abatzoglou, Maxwell B. Joseph, et al.
Nature (2022) Vol. 602, Iss. 7897, pp. 442-448
Closed Access | Times Cited: 146
A comprehensive survey of research towards AI-enabled unmanned aerial systems in pre-, active-, and post-wildfire management
Sayed Pedram Haeri Boroujeni, Abolfazl Razi, Sahand Khoshdel, et al.
Information Fusion (2024) Vol. 108, pp. 102369-102369
Open Access | Times Cited: 48
In the Line of Fire: Consequences of Human-Ignited Wildfires to Homes in the U.S. (1992–2015)
Nathan Mietkiewicz, Jennifer K. Balch, Tania Schoennagel, et al.
Fire (2020) Vol. 3, Iss. 3, pp. 50-50
Open Access | Times Cited: 82
Global Wildfire Susceptibility Mapping Based on Machine Learning Models
Assaf Shmuel, Eyal Heifetz
Forests (2022) Vol. 13, Iss. 7, pp. 1050-1050
Open Access | Times Cited: 44
Elevated fires during COVID-19 lockdown and the vulnerability of protected areas
Johanna Eklund, Julia P. G. Jones, Matti Räsänen, et al.
Nature Sustainability (2022) Vol. 5, Iss. 7, pp. 603-609
Open Access | Times Cited: 40
Deep graphical regression for jointly moderate and extreme Australian wildfires
Daniela Cisneros, J. Ian Richards, Ashok Dahal, et al.
Spatial Statistics (2024) Vol. 59, pp. 100811-100811
Open Access | Times Cited: 13
The fastest-growing and most destructive fires in the US (2001 to 2020)
Jennifer K. Balch, Virginia Iglesias, Adam L. Mahood, et al.
Science (2024) Vol. 386, Iss. 6720, pp. 425-431
Closed Access | Times Cited: 11
Estimates of Rare Rainfall Extremes in Ungauged Areas
Pietro Devò, Maria Francesca Caruso, Marco Borga, et al.
Geophysical Research Letters (2025) Vol. 52, Iss. 7
Open Access | Times Cited: 1
Social‐Environmental Extremes: Rethinking Extraordinary Events as Outcomes of Interacting Biophysical and Social Systems
Jennifer K. Balch, Virginia Iglesias, Anna Braswell, et al.
Earth s Future (2020) Vol. 8, Iss. 7
Open Access | Times Cited: 63
Machine Learning Methods and Synthetic Data Generation to Predict Large Wildfires
Fernando Pérez Porras, Paula Triviño-Tarradas, Carmen Cima-Rodríguez, et al.
Sensors (2021) Vol. 21, Iss. 11, pp. 3694-3694
Open Access | Times Cited: 49
Predicting Paradise: Modeling future wildfire disasters in the western US
Alan A. Ager, Michelle A. Day, Fermín Alcasena, et al.
The Science of The Total Environment (2021) Vol. 784, pp. 147057-147057
Open Access | Times Cited: 47
Prediction of regional wildfire activity in the probabilistic Bayesian framework of Firelihood
François Pimont, Hélène Fargeon, Thomas Opitz, et al.
Ecological Applications (2021) Vol. 31, Iss. 5
Open Access | Times Cited: 42
Fires that matter: reconceptualizing fire risk to include interactions between humans and the natural environment
Virginia Iglesias, E. Natasha Stavros, Jennifer K. Balch, et al.
Environmental Research Letters (2022) Vol. 17, Iss. 4, pp. 045014-045014
Open Access | Times Cited: 29
Global Warming Reshapes European Pyroregions
Luiz Felipe Galizia, Renaud Barbero, Marcos Rodrígues, et al.
Earth s Future (2023) Vol. 11, Iss. 5
Open Access | Times Cited: 21
Identifying large fire weather typologies in the Iberian Peninsula
Marcos Rodrígues, Ricardo M. Trigo, Cristina Vega‐García, et al.
Agricultural and Forest Meteorology (2019) Vol. 280, pp. 107789-107789
Closed Access | Times Cited: 47
Global Wildfire Danger Predictions Based on Deep Learning Taking into Account Static and Dynamic Variables
Yuheng Ji, Dan Wang, Qingliang Li, et al.
Forests (2024) Vol. 15, Iss. 1, pp. 216-216
Open Access | Times Cited: 6
Extreme analysis of typhoons disaster in mainland China with insurance management
Kaihao Hu, Ruojin Wang, Jingyi Xu, et al.
International Journal of Disaster Risk Reduction (2024) Vol. 106, pp. 104411-104411
Open Access | Times Cited: 6
Forest Fire Prediction with Imbalanced Data Using a Deep Neural Network Method
Can Lai, Shucai Zeng, Wei Guo, et al.
Forests (2022) Vol. 13, Iss. 7, pp. 1129-1129
Open Access | Times Cited: 22
Gradient boosting with extreme-value theory for wildfire prediction
Jonathan Koh
Extremes (2023) Vol. 26, Iss. 2, pp. 273-299
Open Access | Times Cited: 11
Identifying Influential Spatial Drivers of Forest Fires through Geographically and Temporally Weighted Regression Coupled with a Continuous Invasive Weed Optimization Algorithm
Parham Pahlavani, Amin Raei, Behnaz Bigdeli, et al.
Fire (2024) Vol. 7, Iss. 1, pp. 33-33
Open Access | Times Cited: 4
Contrasting the role of human- and lightning-caused wildfires on future fire regimes on a Central Oregon landscape
Ana M. G. Barros, Michelle A. Day, Haiganoush K. Preisler, et al.
Environmental Research Letters (2021) Vol. 16, Iss. 6, pp. 064081-064081
Open Access | Times Cited: 24
Fire Risk Mapping Using Machine Learning Method and Remote Sensing in the Mediterranean Region
Fatih Sivrikaya, Döndü Demirel
Advances in Space Research (2025)
Closed Access
Measuring the wildfire risk of California real estate with spatiotemporal convolutional neural networks
Richard H. Stanton, Nancy E. Wallace, Paulo Issler, et al.
(2025)
Closed Access
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