Adélia Sousa

1.3k total citations
32 papers, 827 citations indexed

About

Adélia Sousa is a scholar working on Ecology, Environmental Engineering and Global and Planetary Change. According to data from OpenAlex, Adélia Sousa has authored 32 papers receiving a total of 827 indexed citations (citations by other indexed papers that have themselves been cited), including 21 papers in Ecology, 13 papers in Environmental Engineering and 10 papers in Global and Planetary Change. Recurrent topics in Adélia Sousa's work include Remote Sensing in Agriculture (19 papers), Remote Sensing and LiDAR Applications (10 papers) and Forest ecology and management (8 papers). Adélia Sousa is often cited by papers focused on Remote Sensing in Agriculture (19 papers), Remote Sensing and LiDAR Applications (10 papers) and Forest ecology and management (8 papers). Adélia Sousa collaborates with scholars based in Portugal, Brazil and Spain. Adélia Sousa's co-authors include Ana Cristina Gonçalves, Isabel Malico, João M. N. Silva, José M. C. Pereira, José Marques da Silva, Shakib Shahidian, Ricardo Serralheiro, Dean Graetz, Kevin Tansey and Elisabetta Binaghi and has published in prestigious journals such as SHILAP Revista de lepidopterología, Journal of Geophysical Research Atmospheres and Renewable and Sustainable Energy Reviews.

In The Last Decade

Adélia Sousa

31 papers receiving 776 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Adélia Sousa Portugal 13 399 364 255 111 107 32 827
Huiling Long China 13 240 0.6× 346 1.0× 203 0.8× 125 1.1× 168 1.6× 38 819
Sylvestre Njakou Djomo Denmark 19 342 0.9× 247 0.7× 294 1.2× 54 0.5× 565 5.3× 28 1.5k
Giuliana Zanchi Sweden 15 484 1.2× 179 0.5× 251 1.0× 41 0.4× 83 0.8× 28 833
Benjamin D. Duval United States 17 332 0.8× 233 0.6× 288 1.1× 78 0.7× 57 0.5× 33 1.1k
Esther S. Parish United States 18 349 0.9× 137 0.4× 184 0.7× 38 0.3× 197 1.8× 35 972
Anna Repo Finland 18 819 2.1× 227 0.6× 263 1.0× 42 0.4× 108 1.0× 35 1.3k
Mattias Lundblad Sweden 13 472 1.2× 148 0.4× 192 0.8× 119 1.1× 19 0.2× 24 710
J. Richardson United States 13 304 0.8× 282 0.8× 367 1.4× 19 0.2× 60 0.6× 30 814
Woodam Chung United States 21 984 2.5× 204 0.6× 316 1.2× 33 0.3× 109 1.0× 76 1.6k
Daniel José Vega-Nieva Mexico 17 372 0.9× 200 0.5× 237 0.9× 31 0.3× 119 1.1× 44 692

Countries citing papers authored by Adélia Sousa

Since Specialization
Citations

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

Fields of papers citing papers by Adélia Sousa

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Adélia Sousa

This figure shows the co-authorship network connecting the top 25 collaborators of Adélia Sousa. A scholar is included among the top collaborators of Adélia Sousa 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 Adélia Sousa. Adélia Sousa 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.
Sousa, Adélia, et al.. (2025). Phosphorus influence on seedling growth of Caatinga tree species. Revista Brasileira de Ciências Agrárias - Brazilian Journal of Agricultural Sciences. 20(3). e4288–e4288. 1 indexed citations
2.
Maçãs, Benvindo, et al.. (2025). Optimizing Herbicide Use in Fodder Crops with Low-Cost Remote Sensing and Variable Rate Technology. Applied Sciences. 15(4). 1979–1979.
3.
Gonçalves, Ana Cristina, et al.. (2024). Mapping of Forest Species Using Sentinel-2A Images in the Alentejo and Algarve Regions, Portugal. Land. 13(12). 2184–2184. 2 indexed citations
4.
Lourenço, Patrícia, Sérgio Godinho, Adélia Sousa, & Ana Cristina Gonçalves. (2021). Estimating tree aboveground biomass using multispectral satellite-based data in Mediterranean agroforestry system using random forest algorithm. Remote Sensing Applications Society and Environment. 23. 100560–100560. 21 indexed citations
5.
Nobre, Tânia, et al.. (2020). Hyperspectral Reflectance as a Basis to Discriminate Olive Varieties—A Tool for Sustainable Crop Management. Sustainability. 12(7). 3059–3059. 13 indexed citations
6.
Malico, Isabel, et al.. (2020). Análise do potencial de biomassa residual no Algarve, Portugal, baseada em SIG. Revista Ciência da Madeira - RCM. 11(1). 42–52. 1 indexed citations
7.
Gonçalves, Ana Cristina, Isabel Malico, & Adélia Sousa. (2019). Solid Biomass from Forest Trees to Energy: A Review. IntechOpen eBooks. 9 indexed citations
8.
Santos, Francisco L., et al.. (2019). Efeitos da rega e do regime hídrico em olival super intensivo no Alentejo. Revistas SARC. 36(2). 206–219. 1 indexed citations
9.
Sousa, Adélia, et al.. (2018). Above-ground biomass estimation for Quercus rotundifolia using vegetation indices derived from high spatial resolution satellite images. European Journal of Remote Sensing. 51(1). 932–944. 28 indexed citations
10.
Gonçalves, Ana Cristina, et al.. (2018). Functions for aboveground biomass estimation derived from satellite images data in Mediterranean agroforestry systems. Agroforestry Systems. 93(4). 1485–1500. 12 indexed citations
11.
Sousa, Adélia, et al.. (2018). FUNÇÃO ALOMÉTRICA DE BIOMASSA COM IMAGENS DE SATÉLITE DE ALTA RESOLUÇÃO ESPACIAL. Ciência Florestal. 28(3). 960–969. 1 indexed citations
12.
Godinho, Sérgio, Peter Surový, Adélia Sousa, & Artur Gil. (2018). Advances in remote-sensing applications in silvo-pastoral systems. International Journal of Remote Sensing. 39(14). 4565–4571. 3 indexed citations
13.
Gonçalves, Ana Cristina, et al.. (2017). Pinus pinea above ground biomass estimation with very high spatial resolution satellite images.. Portuguese National Funding Agency for Science, Research and Technology (RCAAP Project by FCT). 49–54. 3 indexed citations
14.
Serrano, João, et al.. (2016). Assessment of the spatial variability in tall wheatgrass forage using LANDSAT 8 satellite imagery to delineate potential management zones. Environmental Monitoring and Assessment. 188(9). 513–513. 14 indexed citations
15.
Serralheiro, Ricardo, et al.. (2016). Irrigation management with remote sensing: Evaluating irrigation requirement for maize under Mediterranean climate condition. Agricultural Water Management. 184. 211–220. 76 indexed citations
16.
Silva, José Marques da, et al.. (2015). Agriculture pest and disease risk maps considering MSG satellite data and land surface temperature. International Journal of Applied Earth Observation and Geoinformation. 38. 40–50. 29 indexed citations
17.
Pôças, Isabel, Teresa A. Paço, Mário Cunha, et al.. (2014). Satellite-based evapotranspiration of a super-intensive olive orchard: Application of METRIC algorithms. Biosystems Engineering. 128. 69–81. 50 indexed citations
18.
Mancin, Adriana Cristina, et al.. (2012). Estudo Fenológico de Lafoensia replicata Pohl. no Município de Bom Jesus, Piauí. Scientia Plena. 8. 1 indexed citations
19.
Sousa, Adélia, et al.. (2010). Segmentação e classificação de tipologias florestais a partir de imagens QUICKBIRD / Segmentation and classification of forest types with QUICKBIRD images. SHILAP Revista de lepidopterología. 2 indexed citations
20.
Silva, João M. N., Adélia Sousa, José M. C. Pereira, et al.. (2002). A contribution for a global burned area map.. 4 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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