Nuno César de Sá

776 total citations · 1 hit paper
9 papers, 463 citations indexed

About

Nuno César de Sá is a scholar working on Ecology, Ecological Modeling and Nature and Landscape Conservation. According to data from OpenAlex, Nuno César de Sá has authored 9 papers receiving a total of 463 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Ecology, 5 papers in Ecological Modeling and 4 papers in Nature and Landscape Conservation. Recurrent topics in Nuno César de Sá's work include Remote Sensing in Agriculture (6 papers), Species Distribution and Climate Change (5 papers) and Ecology and Vegetation Dynamics Studies (4 papers). Nuno César de Sá is often cited by papers focused on Remote Sensing in Agriculture (6 papers), Species Distribution and Climate Change (5 papers) and Ecology and Vegetation Dynamics Studies (4 papers). Nuno César de Sá collaborates with scholars based in Netherlands, Portugal and Austria. Nuno César de Sá's co-authors include Peter M. van Bodegom, Hélia Marchante, Elizabete Marchante, César Terrer, Mark Brundrett, Joshua B. Fisher, Maarten van’t Zelfde, Ian McCallum, Michael McCormack and Nadejda A. Soudzilovskaia and has published in prestigious journals such as Nature Communications, Remote Sensing of Environment and Biological reviews/Biological reviews of the Cambridge Philosophical Society.

In The Last Decade

Nuno César de Sá

9 papers receiving 456 citations

Hit Papers

Global mycorrhizal plant distribution linked to terrestri... 2019 2026 2021 2023 2019 50 100 150 200

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Nuno César de Sá Netherlands 9 217 190 120 111 104 9 463
Dominik Kopeć Poland 15 302 1.4× 138 0.7× 109 0.9× 67 0.6× 142 1.4× 41 513
Jung‐Hwa Chun South Korea 14 247 1.1× 124 0.7× 203 1.7× 28 0.3× 213 2.0× 38 596
Yiming Feng China 14 201 0.9× 120 0.6× 99 0.8× 26 0.2× 129 1.2× 40 467
Klaus Ecker Switzerland 12 264 1.2× 82 0.4× 139 1.2× 54 0.5× 130 1.3× 26 413
Ayako Shimono Japan 15 228 1.1× 244 1.3× 212 1.8× 39 0.4× 107 1.0× 32 696
Marta Gaia Sperandii Italy 13 185 0.9× 119 0.6× 161 1.3× 23 0.2× 89 0.9× 28 394
Ahmet Mert Türkiye 12 178 0.8× 64 0.3× 147 1.2× 27 0.2× 118 1.1× 43 425
Michele De Sanctis Italy 17 226 1.0× 239 1.3× 326 2.7× 74 0.7× 213 2.0× 48 808
Richard D. Alward United States 5 159 0.7× 151 0.8× 190 1.6× 25 0.2× 193 1.9× 7 451
Liu Qinghong Sweden 7 157 0.7× 97 0.5× 241 2.0× 117 1.1× 131 1.3× 10 436

Countries citing papers authored by Nuno César de Sá

Since Specialization
Citations

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

Fields of papers citing papers by Nuno César de Sá

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Nuno César de 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 Nuno César de Sá. The network helps show where Nuno César de Sá may publish in the future.

Co-authorship network of co-authors of Nuno César de Sá

This figure shows the co-authorship network connecting the top 25 collaborators of Nuno César de Sá. A scholar is included among the top collaborators of Nuno César de 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 Nuno César de Sá. Nuno César de Sá is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

9 of 9 papers shown
1.
Sá, Nuno César de, et al.. (2022). AutoML for estimating grass height from ETM+/OLI data from field measurements at a nature reserve. GIScience & Remote Sensing. 59(1). 2164–2183. 11 indexed citations
2.
Hauser, Leon T., Joris Timmermans, Ângelo Sil, et al.. (2021). Explaining discrepancies between spectral and in-situ plant diversity in multispectral satellite earth observation. Remote Sensing of Environment. 265. 112684–112684. 48 indexed citations
3.
Sá, Nuno César de, Mitra Baratchi, Leon T. Hauser, & Peter M. van Bodegom. (2021). Exploring the Impact of Noise on Hybrid Inversion of PROSAIL RTM on Sentinel-2 Data. Remote Sensing. 13(4). 648–648. 34 indexed citations
5.
Ávila, Sérgio P., Carlos S. Melo, Björn Berning, et al.. (2019). Towards a ‘Sea‐Level Sensitive’ dynamic model: impact of island ontogeny and glacio‐eustasy on global patterns of marine island biogeography. Biological reviews/Biological reviews of the Cambridge Philosophical Society. 94(3). 1116–1142. 43 indexed citations
6.
Soudzilovskaia, Nadejda A., Peter M. van Bodegom, César Terrer, et al.. (2019). Global mycorrhizal plant distribution linked to terrestrial carbon stocks. Nature Communications. 10(1). 5077–5077. 203 indexed citations breakdown →
7.
Sá, Nuno César de, Hélia Marchante, Elizabete Marchante, et al.. (2019). Can citizen science data guide the surveillance of invasive plants? A model-based test with Acacia trees in Portugal. Biological Invasions. 21(6). 2127–2141. 27 indexed citations
8.
Sá, Nuno César de, et al.. (2018). Mapping the Flowering of an Invasive Plant Using Unmanned Aerial Vehicles: Is There Potential for Biocontrol Monitoring?. Frontiers in Plant Science. 9. 293–293. 69 indexed citations
9.
Sá, Nuno César de, Sabrina Carvalho, Paula Castro, Elizabete Marchante, & Hélia Marchante. (2017). Using Landsat Time Series to Understand How Management and Disturbances Influence the Expansion of an Invasive Tree. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing. 10(7). 3243–3253. 18 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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