Ana C. L. Sá

1.3k total citations
29 papers, 831 citations indexed

About

Ana C. L. Sá is a scholar working on Global and Planetary Change, Ecology and Environmental Engineering. According to data from OpenAlex, Ana C. L. Sá has authored 29 papers receiving a total of 831 indexed citations (citations by other indexed papers that have themselves been cited), including 26 papers in Global and Planetary Change, 12 papers in Ecology and 8 papers in Environmental Engineering. Recurrent topics in Ana C. L. Sá's work include Fire effects on ecosystems (26 papers), Remote Sensing in Agriculture (11 papers) and Flood Risk Assessment and Management (7 papers). Ana C. L. Sá is often cited by papers focused on Fire effects on ecosystems (26 papers), Remote Sensing in Agriculture (11 papers) and Flood Risk Assessment and Management (7 papers). Ana C. L. Sá collaborates with scholars based in Portugal, United States and Italy. Ana C. L. Sá's co-authors include José M. C. Pereira, João M. N. Silva, Akli Benali, Paulo M. Fernandes, Bernardo Mota, Sandra Oliveira, Ricardo M. Trigo, Maria J. Vasconcelos, Jorge Rocha and Ioannis Bistinas and has published in prestigious journals such as SHILAP Revista de lepidopterología, Journal of Geophysical Research Atmospheres and PLoS ONE.

In The Last Decade

Ana C. L. Sá

28 papers receiving 802 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Ana C. L. Sá Portugal 18 750 315 166 161 123 29 831
M. Lucrecia Pettinari Spain 15 894 1.2× 405 1.3× 157 0.9× 144 0.9× 136 1.1× 19 981
Zhangwen Su China 14 647 0.9× 234 0.7× 112 0.7× 265 1.6× 68 0.6× 26 734
John M. Little Canada 13 930 1.2× 342 1.1× 73 0.4× 261 1.6× 229 1.9× 15 1.0k
Bernardo Mota Portugal 14 934 1.2× 354 1.1× 139 0.8× 132 0.8× 288 2.3× 24 1.1k
Lara Vilar Spain 13 897 1.2× 347 1.1× 142 0.9× 298 1.9× 49 0.4× 20 1.0k
Carlos J. Novillo Spain 12 385 0.5× 178 0.6× 79 0.5× 173 1.1× 70 0.6× 23 527
Rubén Ramo Spain 9 1.0k 1.4× 640 2.0× 215 1.3× 92 0.6× 196 1.6× 14 1.1k
Zhiwei Wu China 16 608 0.8× 241 0.8× 111 0.7× 129 0.8× 93 0.8× 41 702
António Bento‐Gonçalves Portugal 12 532 0.7× 195 0.6× 69 0.4× 114 0.7× 49 0.4× 75 686
Liberta' Giorgio Italy 10 488 0.7× 114 0.4× 82 0.5× 109 0.7× 114 0.9× 17 550

Countries citing papers authored by Ana C. L. Sá

Since Specialization
Citations

This map shows the geographic impact of Ana C. L. Sá'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 Ana C. L. Sá with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ana C. L. Sá more than expected).

Fields of papers citing papers by Ana C. L. Sá

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Ana C. L. Sá. 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 Ana C. L. Sá. The network helps show where Ana C. L. Sá may publish in the future.

Co-authorship network of co-authors of Ana C. L. Sá

This figure shows the co-authorship network connecting the top 25 collaborators of Ana C. L. Sá. A scholar is included among the top collaborators of Ana C. L. Sá 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 Ana C. L. Sá. Ana C. L. Sá 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
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Marta‐Almeida, Martinho, et al.. (2023). Wildfire exposure and risk in pulp paper companies’ plantations under extreme weather conditions: A case study in North-Western Portugal. International Journal of Disaster Risk Reduction. 100. 104064–104064. 3 indexed citations
3.
Sá, Ana C. L., et al.. (2023). A method to produce a flexible and customized fuel models dataset. MethodsX. 10. 102218–102218. 5 indexed citations
4.
5.
Benali, Akli, Nuno Guiomar, Hugo Gonçalves, et al.. (2023). The Portuguese Large Wildfire Spread database (PT-FireSprd). Earth system science data. 15(8). 3791–3818. 17 indexed citations
6.
Sá, Ana C. L., Akli Benali, Michele Salis, et al.. (2022). Coupling wildfire spread simulations and connectivity analysis for hazard assessment: a case study in Serra da Cabreira, Portugal. Natural hazards and earth system sciences. 22(12). 3917–3938. 13 indexed citations
7.
Alcasena, Fermín, et al.. (2022). Evaluating priority locations and potential benefits for building a nation-wide fuel break network in Portugal. Journal of Environmental Management. 320. 115920–115920. 18 indexed citations
8.
Oliveira, Sandra, Jorge Rocha, & Ana C. L. Sá. (2021). Wildfire risk modeling. Current Opinion in Environmental Science & Health. 23. 100274–100274. 49 indexed citations
9.
Benali, Akli, et al.. (2021). Understanding the Impact of Different Landscape-Level Fuel Management Strategies on Wildfire Hazard in Central Portugal. Forests. 12(5). 522–522. 26 indexed citations
10.
Oliveira, Sandra, et al.. (2020). Assessing Risk and Prioritizing Safety Interventions in Human Settlements Affected by Large Wildfires. Forests. 11(8). 859–859. 36 indexed citations
11.
Sá, Ana C. L., Akli Benali, Paulo M. Fernandes, et al.. (2017). Evaluating fire growth simulations using satellite active fire data. Remote Sensing of Environment. 190. 302–317. 42 indexed citations
12.
Benali, Akli, et al.. (2017). Fire spread predictions: Sweeping uncertainty under the rug. The Science of The Total Environment. 592. 187–196. 33 indexed citations
13.
Benali, Akli, et al.. (2016). Deciphering the impact of uncertainty on the accuracy of large wildfire spread simulations. The Science of The Total Environment. 569-570. 73–85. 47 indexed citations
14.
Benali, Akli, Ana C. L. Sá, Paulo M. Fernandes, et al.. (2016). Probabilistic fire spread forecast as a management tool in an operational setting. SpringerPlus. 5(1). 1205–1205. 31 indexed citations
15.
Bistinas, Ioannis, Duarte Oom, Ana C. L. Sá, et al.. (2013). Relationships between Human Population Density and Burned Area at Continental and Global Scales. PLoS ONE. 8(12). e81188–e81188. 82 indexed citations
16.
Sá, Ana C. L., José M. C. Pereira, Martin Charlton, et al.. (2010). The pyrogeography of sub-Saharan Africa: a study of the spatial non-stationarity of fire–environment relationships using GWR. Journal of Geographical Systems. 13(3). 227–248. 36 indexed citations
17.
Silva, João M. N., Ana C. L. Sá, & José M. C. Pereira. (2005). Comparison of burned area estimates derived from SPOT-VEGETATION and Landsat ETM+ data in Africa: Influence of spatial pattern and vegetation type. Remote Sensing of Environment. 96(2). 188–201. 94 indexed citations
18.
Pereira, José M. C., Bernardo Mota, J. L. Privette, et al.. (2004). A simulation analysis of the detectability of understory burns in miombo woodlands. Remote Sensing of Environment. 93(3). 296–310. 35 indexed citations
19.
Silva, João M. N., José M. C. Pereira, Ana I. R. Cabral, et al.. (2003). An estimate of the area burned in southern Africa during the 2000 dry season using SPOT‐VEGETATION satellite data. Journal of Geophysical Research Atmospheres. 108(D13). 63 indexed citations
20.
Sá, Ana C. L., et al.. (2003). Assessing the feasibility of sub-pixel burned area mapping in miombo woodlands of northern Mozambique using MODIS imagery. International Journal of Remote Sensing. 24(8). 1783–1796. 44 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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