Eva Marino

742 total citations
23 papers, 541 citations indexed

About

Eva Marino is a scholar working on Global and Planetary Change, Ecology and Environmental Engineering. According to data from OpenAlex, Eva Marino has authored 23 papers receiving a total of 541 indexed citations (citations by other indexed papers that have themselves been cited), including 20 papers in Global and Planetary Change, 10 papers in Ecology and 9 papers in Environmental Engineering. Recurrent topics in Eva Marino's work include Fire effects on ecosystems (20 papers), Remote Sensing and LiDAR Applications (9 papers) and Remote Sensing in Agriculture (7 papers). Eva Marino is often cited by papers focused on Fire effects on ecosystems (20 papers), Remote Sensing and LiDAR Applications (9 papers) and Remote Sensing in Agriculture (7 papers). Eva Marino collaborates with scholars based in Spain, Chile and United States. Eva Marino's co-authors include Carmen Hernando, Mercedes Guijarro, Javier Madrigal, José Luis Pensado Tomé, Scott L. Stephens, François Pimont, Jean‐Luc Dupuy, Rodman Linn, Jéssica Esteban and Antonio Arjona Castro and has published in prestigious journals such as Remote Sensing of Environment, Journal of Environmental Management and Agricultural and Forest Meteorology.

In The Last Decade

Eva Marino

23 papers receiving 523 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Eva Marino Spain 13 444 194 150 135 112 23 541
M. Jappiot France 12 671 1.5× 159 0.8× 118 0.8× 58 0.4× 245 2.2× 16 713
Giovanni Bovio Italy 11 530 1.2× 151 0.8× 155 1.0× 65 0.5× 64 0.6× 35 602
P. Pérez‐Gorostiaga Spain 13 441 1.0× 132 0.7× 198 1.3× 34 0.3× 102 0.9× 20 508
Philip Zylstra Australia 12 733 1.7× 439 2.3× 259 1.7× 113 0.8× 76 0.7× 26 811
Cynthia L. Riccardi United States 10 441 1.0× 235 1.2× 145 1.0× 61 0.5× 72 0.6× 13 514
Carleton B. Edminster United States 14 545 1.2× 215 1.1× 260 1.7× 102 0.8× 127 1.1× 48 735
Jon B. Marsden‐Smedley Australia 9 438 1.0× 198 1.0× 176 1.2× 33 0.2× 100 0.9× 16 504
Míriam Piqué Spain 15 463 1.0× 129 0.7× 244 1.6× 62 0.5× 34 0.3× 46 622
J. Kevin Hiers United States 13 625 1.4× 308 1.6× 472 3.1× 283 2.1× 52 0.5× 27 860
Hermínio Botelho Portugal 11 873 2.0× 309 1.6× 288 1.9× 54 0.4× 196 1.8× 16 935

Countries citing papers authored by Eva Marino

Since Specialization
Citations

This map shows the geographic impact of Eva Marino's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Eva Marino with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Eva Marino more than expected).

Fields of papers citing papers by Eva Marino

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Eva Marino. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Eva Marino. The network helps show where Eva Marino may publish in the future.

Co-authorship network of co-authors of Eva Marino

This figure shows the co-authorship network connecting the top 25 collaborators of Eva Marino. A scholar is included among the top collaborators of Eva Marino based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Eva Marino. Eva Marino is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Martin‐Ducup, Olivier, Jean‐Luc Dupuy, Juan Guerra-Hernández, et al.. (2024). Unlocking the potential of Airborne LiDAR for direct assessment of fuel bulk density and load distributions for wildfire hazard mapping. Agricultural and Forest Meteorology. 362. 110341–110341. 4 indexed citations
2.
Moya, Daniel, Eva Marino, José Luis Pensado Tomé, et al.. (2024). Fire Vulnerability, Resilience, and Recovery Rates of Mediterranean Pine Forests Using a 33-Year Time Series of Satellite Imagery. Remote Sensing. 16(10). 1718–1718. 6 indexed citations
4.
Moya, Daniel, José Luis Pensado Tomé, Eva Marino, et al.. (2023). Postfire damage zoning with open low-density LiDAR data sources in semi-arid forests of the Iberian Peninsula. Remote Sensing Applications Society and Environment. 33. 101114–101114. 2 indexed citations
5.
Tanase, Mihai A., Eva Marino, Cristina Aponte, et al.. (2022). Characterizing Live Fuel Moisture Content from Active and Passive Sensors in a Mediterranean Environment. Forests. 13(11). 1846–1846. 12 indexed citations
6.
7.
Tomé, José Luis Pensado, et al.. (2020). Assessing the transferability of airborne laser scanning and digital aerial photogrammetry derived growing stock volume models. International Journal of Applied Earth Observation and Geoinformation. 91. 102135–102135. 15 indexed citations
8.
Marino, Eva, et al.. (2018). Vertical forest structure analysis for wildfire prevention: Comparing airborne laser scanning data and stereoscopic hemispherical images. International Journal of Applied Earth Observation and Geoinformation. 73. 438–449. 17 indexed citations
10.
Marino, Eva, Carmen Hernando, Javier Madrigal, & Mercedes Guijarro. (2014). Short-term effect of fuel treatments on fire behaviour in a mixed heathland: a comparative assessment in an outdoor wind tunnel. International Journal of Wildland Fire. 23(8). 1097–1107. 9 indexed citations
11.
Marino, Eva, et al.. (2014). Forest fuel management for wildfire prevention in Spain: a quantitative SWOT analysis. International Journal of Wildland Fire. 23(3). 373–384. 43 indexed citations
12.
Marino, Eva, Jean‐Luc Dupuy, François Pimont, et al.. (2012). Fuel bulk density and fuel moisture content effects on fire rate of spread: a comparison between FIRETEC model predictions and experimental results in shrub fuels. Journal of Fire Sciences. 30(4). 277–299. 56 indexed citations
13.
Madrigal, Javier, et al.. (2011). Evaluation of the flammability of gorse (Ulex europaeus L.) managed by prescribed burning. Annals of Forest Science. 69(3). 387–397. 43 indexed citations
14.
Marino, Eva, et al.. (2010). Fire hazard after prescribed burning in a gorse shrubland: Implications for fuel management. Journal of Environmental Management. 92(3). 1003–1011. 35 indexed citations
15.
Marino, Eva, et al.. (2010). Chaparral shrub recovery after fuel reduction: a comparison of prescribed fire and mastication techniques. Plant Ecology. 210(2). 303–315. 52 indexed citations
16.
Marino, Eva, et al.. (2010). Flammability descriptors of fine dead fuels resulting from two mechanical treatments in shrubland: a comparative laboratory study. International Journal of Wildland Fire. 19(3). 314–324. 18 indexed citations
17.
Madrigal, Javier, et al.. (2010). Effective Heat of Combustion for Flaming Combustion of Mediterranean Forest Fuels. Fire Technology. 47(2). 461–474. 39 indexed citations
18.
Madrigal, Javier, et al.. (2010). Estimation of Peak Heat Release Rate of a Forest Fuel Bed in Outdoor Laboratory Conditions. Journal of Fire Sciences. 29(1). 53–70. 12 indexed citations
19.
Madrigal, Javier, et al.. (2009). Evaluation of Forest Fuel Flammability and Combustion Properties with an Adapted Mass Loss Calorimeter Device. Journal of Fire Sciences. 27(4). 323–342. 44 indexed citations
20.
Marino, Eva, et al.. (2008). Assessing fire propagation empirical models in shrub fuel complexes using wind tunnel data. WIT transactions on ecology and the environment. I. 121–130. 8 indexed citations

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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