Mário Caetano

3.0k total citations · 2 hit papers
87 papers, 2.3k citations indexed

About

Mário Caetano is a scholar working on Ecology, Global and Planetary Change and Media Technology. According to data from OpenAlex, Mário Caetano has authored 87 papers receiving a total of 2.3k indexed citations (citations by other indexed papers that have themselves been cited), including 58 papers in Ecology, 48 papers in Global and Planetary Change and 35 papers in Media Technology. Recurrent topics in Mário Caetano's work include Remote Sensing in Agriculture (56 papers), Land Use and Ecosystem Services (39 papers) and Remote-Sensing Image Classification (35 papers). Mário Caetano is often cited by papers focused on Remote Sensing in Agriculture (56 papers), Land Use and Ecosystem Services (39 papers) and Remote-Sensing Image Classification (35 papers). Mário Caetano collaborates with scholars based in Portugal, United States and France. Mário Caetano's co-authors include Filiberto Pla, P. Carmona, Duy X. Tran, Soe W. Myint, Hugo Carrão, Pedro Cabral, Paulo Gonçalvès, Ümüt Halik, Mamat Sawut and Matthew Maimaitiyiming and has published in prestigious journals such as SHILAP Revista de lepidopterología, Remote Sensing of Environment and IEEE Transactions on Geoscience and Remote Sensing.

In The Last Decade

Mário Caetano

78 papers receiving 2.2k citations

Hit Papers

Characterizing the relationship between land use land cov... 2014 2026 2018 2022 2017 2014 100 200 300 400 500

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Mário Caetano Portugal 19 1.4k 1.1k 766 618 541 87 2.3k
Uğur Avdan Türkiye 23 963 0.7× 1.2k 1.0× 501 0.7× 349 0.6× 368 0.7× 76 2.1k
Shaoxiang Ni China 7 1.4k 1.0× 1.1k 0.9× 764 1.0× 426 0.7× 700 1.3× 15 2.2k
Tim Van de Voorde Belgium 25 1.2k 0.9× 698 0.6× 360 0.5× 368 0.6× 400 0.7× 112 2.1k
Guohua Hu China 20 1.5k 1.1× 570 0.5× 420 0.5× 440 0.7× 395 0.7× 51 2.3k
Md. Shahinoor Rahman United States 22 1.1k 0.8× 792 0.7× 394 0.5× 325 0.5× 449 0.8× 51 1.8k
Kangning Huang China 18 1.6k 1.1× 706 0.6× 313 0.4× 641 1.0× 549 1.0× 41 2.5k
David A.J. Ripley United States 3 1.4k 1.0× 1.1k 1.0× 1.2k 1.6× 278 0.4× 600 1.1× 5 2.4k
Giorgos Mallinis Greece 29 1.6k 1.2× 972 0.8× 1.3k 1.7× 159 0.3× 337 0.6× 85 2.7k
Fengsong Pei China 17 3.0k 2.1× 735 0.6× 1.1k 1.4× 616 1.0× 613 1.1× 25 3.5k

Countries citing papers authored by Mário Caetano

Since Specialization
Citations

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

Fields of papers citing papers by Mário Caetano

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Mário Caetano. 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 Mário Caetano. The network helps show where Mário Caetano may publish in the future.

Co-authorship network of co-authors of Mário Caetano

This figure shows the co-authorship network connecting the top 25 collaborators of Mário Caetano. A scholar is included among the top collaborators of Mário Caetano 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 Mário Caetano. Mário Caetano 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.
Moraes, Daniel, et al.. (2024). Continuous forest loss monitoring in a dynamic landscape of Central Portugal with Sentinel-2 data. International Journal of Applied Earth Observation and Geoinformation. 130. 103913–103913. 6 indexed citations
2.
Costa, Hugo, Pedro Benevides, & Mário Caetano. (2023). The Portuguese Land Cover Monitoring System (SMOS): from research and development (R&D) to operations. 32(210). 44–51. 1 indexed citations
3.
Viana, Cláudia M., et al.. (2023). Dealing with the uncertainty of technical changes in the CORINE Land Cover dataset: The Portuguese approach. International Journal of Applied Earth Observation and Geoinformation. 122. 103389–103389. 8 indexed citations
4.
Borralho, Nuno, et al.. (2022). Recent Advances in Forest Insect Pests and Diseases Monitoring Using UAV-Based Data: A Systematic Review. Forests. 13(6). 911–911. 78 indexed citations
5.
Rocha, Jorge, et al.. (2022). Automatic detection of vegetation cover changes in urban-rural interface areas. MethodsX. 9. 101643–101643. 1 indexed citations
6.
Nunes, Leónia, et al.. (2022). Dinâmicas de uso e ocupação do solo entre 1951-80 e 2018 em Portugal Continental. Springer Link (Chiba Institute of Technology). 30(2). 87–105. 1 indexed citations
7.
Benevides, Pedro, et al.. (2022). Mapping annual crops in Portugal with Sentinel-2 data. 20–20. 1 indexed citations
8.
Sumbül, Gencer, Hugo Costa, Pedro Benevides, et al.. (2021). BigEarthNet-MM: A Large-Scale, Multimodal, Multilabel Benchmark Archive for Remote Sensing Image Classification and Retrieval [Software and Data Sets]. Revista de Estudos Anglo-Portugueses/Journal of Anglo-Portuguese Studies. 4 indexed citations
9.
Benevides, Pedro, et al.. (2021). Land cover mapping at national scale with Sentinel-2 and LUCAS: a case study in Portugal. Portuguese National Funding Agency for Science, Research and Technology (RCAAP Project by FCT). 5–5. 2 indexed citations
10.
Caetano, Mário, et al.. (2020). Harmonization of categorical maps by alignment processes and thematic consistency analysis. SHILAP Revista de lepidopterología. 6(4). 473–490.
11.
Sakellariou, Stavros, Pedro Cabral, Mário Caetano, et al.. (2020). Remotely Sensed Data Fusion for Spatiotemporal Geostatistical Analysis of Forest Fire Hazard. Sensors. 20(17). 5014–5014. 24 indexed citations
12.
Bação, Fernando, et al.. (2013). Automatic Selection Of Training Areas Using Existing Land Cover Maps. 722. 184. 3 indexed citations
13.
Caetano, Mário, et al.. (2011). A multi-level spatial urban pressure analysis of the Giza Pyramid Plateau in Egypt. research memorandum.
14.
Cabral, Pedro, et al.. (2011). Urban heritage endangerment at the interface of future cities and past heritage: A spatial vulnerability assessment. research memorandum. 1 indexed citations
15.
Vaz, Eric, Mário Caetano, & Peter Nijkamp. (2011). A multi-level spatial urban pressure analysis of the Giza pyramid plateau in Egypt. Journal of Heritage Tourism. 6(2). 99–108. 13 indexed citations
16.
Caetano, Mário, et al.. (2010). GlobCover Map- Can we go from Global to National Scale?. ESASP. 686. 225. 3 indexed citations
17.
Caetano, Mário, et al.. (2008). Cartografia temática de ocupação/uso do solo do Instituto Geográfico Português. Mapping. 78–87. 6 indexed citations
19.
Caetano, Mário, et al.. (2006). Comparing land cover products CLC2000 and MOD12Q1 for Portugal.. 469–477. 11 indexed citations
20.
Caetano, Mário, Paulo Barbosa, & Teresa Santos. (2001). <title>Detection of potential illegal changes on forest burned areas with vegetation indices and map algebra</title>. Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE. 4171. 166–176. 1 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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