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:

Vegetation structure parameters determine high burn severity likelihood in different ecosystem types: A case study in a burned Mediterranean landscape
José Manuel Fernández‐Guisuraga, Susana Suárez‐Seoane, Paula García-Llamas, et al.
Journal of Environmental Management (2021) Vol. 288, pp. 112462-112462
Open Access | Times Cited: 55

Showing 1-25 of 55 citing articles:

Integrated wildfire danger models and factors: A review
Ioannis Zacharakis, Vassiliοs A. Tsihrintzis
The Science of The Total Environment (2023) Vol. 899, pp. 165704-165704
Closed Access | Times Cited: 26

Dry Live Fuels Increase the Likelihood of Lightning‐Caused Fires
K. H. Rao, Park Williams, Noah S. Diffenbaugh, et al.
Geophysical Research Letters (2023) Vol. 50, Iss. 15
Open Access | Times Cited: 24

Post-Fire Burned Area Detection Using Machine Learning and Burn Severity Classification with Spectral Indices in İzmir: A SHAP-Driven XAI Approach
Halil İbrahim Gündüz, Ahmet Tarık TORUN, Cemil Gezgin
Fire (2025) Vol. 8, Iss. 4, pp. 121-121
Open Access | Times Cited: 1

Predicting potential wildfire severity across Southern Europe with global data sources
Víctor Fernández-García, David Beltrán-Marcos, José Manuel Fernández‐Guisuraga, et al.
The Science of The Total Environment (2022) Vol. 829, pp. 154729-154729
Open Access | Times Cited: 37

First evaluation of fire severity retrieval from PRISMA hyperspectral data
Carmen Quintano, Leonor Calvo, Alfonso Fernández–Manso, et al.
Remote Sensing of Environment (2023) Vol. 295, pp. 113670-113670
Open Access | Times Cited: 21

Pre-fire aboveground biomass, estimated from LiDAR, spectral and field inventory data, as a major driver of burn severity in maritime pine (Pinus pinaster) ecosystems
José Manuel Fernández‐Guisuraga, Susana Suárez‐Seoane, Paulo M. Fernandes, et al.
Forest Ecosystems (2022) Vol. 9, pp. 100022-100022
Open Access | Times Cited: 25

Resilience of Mediterranean communities to fire depends on burn severity and type of ecosystem
Sara Huerta, Elena Marcos, Víctor Fernández-García, et al.
Fire Ecology (2022) Vol. 18, Iss. 1
Open Access | Times Cited: 25

Radar and multispectral remote sensing data accurately estimate vegetation vertical structure diversity as a fire resilience indicator
José Manuel Fernández‐Guisuraga, Susana Suárez‐Seoane, Leonor Calvo
Remote Sensing in Ecology and Conservation (2022) Vol. 9, Iss. 1, pp. 117-132
Open Access | Times Cited: 23

Evaluation of CMIP6 model performances in simulating fire weather spatiotemporal variability on global and regional scales
Carolina Gallo, Jonathan Eden, Bastien Dieppois, et al.
Geoscientific model development (2023) Vol. 16, Iss. 10, pp. 3103-3122
Open Access | Times Cited: 14

Stratified burn severity assessment by integrating spaceborne spectral and waveform attributes in Great Xing'an Mountain
Simei Lin, Linyuan Li, Shangbo Liu, et al.
Remote Sensing of Environment (2024) Vol. 307, pp. 114152-114152
Closed Access | Times Cited: 5

Impact of fire severity on forest structure and biomass stocks using NASA GEDI data. Insights from the 2020 and 2021 wildfire season in Spain and Portugal
Juan Guerra-Hernández, José M. C. Pereira, Atticus Stovall, et al.
Science of Remote Sensing (2024) Vol. 9, pp. 100134-100134
Open Access | Times Cited: 5

Comparing Remote Sensing and Field-Based Approaches to Estimate Ladder Fuels and Predict Wildfire Burn Severity
Brieanne Forbes, Sean Reilly, Matthew L. Clark, et al.
Frontiers in Forests and Global Change (2022) Vol. 5
Open Access | Times Cited: 20

Caution is needed across Mediterranean ecosystems when interpreting wall-to-wall fire severity estimates based on spectral indices
José Manuel Fernández‐Guisuraga, Paulo M. Fernandes, Elena Marcos, et al.
Forest Ecology and Management (2023) Vol. 546, pp. 121383-121383
Closed Access | Times Cited: 12

A new method for mapping vegetation structure parameters in forested areas using GEDI data
Ziwei Wang, Hongyan Cai, Xiaohuan Yang
Ecological Indicators (2024) Vol. 164, pp. 112157-112157
Open Access | Times Cited: 4

Wildfire Susceptibility of Land Use and Topographic Features in the Western United States: Implications for the Landscape Management
Jun Zhai, Zhuo Ning, Ram P. Dahal, et al.
Forests (2023) Vol. 14, Iss. 4, pp. 807-807
Open Access | Times Cited: 10

Wildland-urban interface typologies prone to high severity fires in Spain
David Beltrán-Marcos, Leonor Calvo, José Manuel Fernández‐Guisuraga, et al.
The Science of The Total Environment (2023) Vol. 894, pp. 165000-165000
Closed Access | Times Cited: 10

Prediction of some soil properties in volcanic soils using random forest modeling: A case study at chinyero special nature reserve (Tenerife, canary islands)
Víctor M. Jiménez, Jesús Santiago Notario del Pino, José Manuel Fernández-Guisuraga, et al.
Ecological Informatics (2025) Vol. 86, pp. 103054-103054
Open Access

Compound dry and hot extremes and their implications for fire activity over the Orinoco River Basin in northern South America
Paola A. Arias, Alejandra Fernández-Berrío, Valeria Bedoya-Pineda, et al.
Climate Dynamics (2025) Vol. 63, Iss. 4
Open Access

Impact of LiDAR pulse density on forest fuels metrics derived using LadderFuelsR
Olga Viedma, José M. Moreno
Ecological Informatics (2025), pp. 103135-103135
Open Access

What determines variation in remotely sensed fire severity? Consideration of remote sensing limitations and confounding factors
Matthew G. Gale, Geoffrey J. Cary
International Journal of Wildland Fire (2022) Vol. 31, Iss. 3, pp. 291-305
Open Access | Times Cited: 16

Using Pre-Fire High Point Cloud Density LiDAR Data to Predict Fire Severity in Central Portugal
José Manuel Fernández‐Guisuraga, Paulo M. Fernandes
Remote Sensing (2023) Vol. 15, Iss. 3, pp. 768-768
Open Access | Times Cited: 9

Ladder fuels rather than canopy volumes consistently predict wildfire severity even in extreme topographic-weather conditions
Christopher R. Hakkenberg, Matthew L. Clark, Theodore N. Bailey, et al.
Communications Earth & Environment (2024) Vol. 5, Iss. 1
Open Access | Times Cited: 3

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