Isabel Pôças

1.7k total citations
36 papers, 1.1k citations indexed

About

Isabel Pôças is a scholar working on Ecology, Global and Planetary Change and Plant Science. According to data from OpenAlex, Isabel Pôças has authored 36 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 27 papers in Ecology, 19 papers in Global and Planetary Change and 15 papers in Plant Science. Recurrent topics in Isabel Pôças's work include Remote Sensing in Agriculture (22 papers), Plant Water Relations and Carbon Dynamics (12 papers) and Species Distribution and Climate Change (9 papers). Isabel Pôças is often cited by papers focused on Remote Sensing in Agriculture (22 papers), Plant Water Relations and Carbon Dynamics (12 papers) and Species Distribution and Climate Change (9 papers). Isabel Pôças collaborates with scholars based in Portugal, Spain and United Kingdom. Isabel Pôças's co-authors include Mário Cunha, L. S. Pereira, Paula Paredes, Alfonso Calera, Isidro Campos, Teresa A. Paço, João Gonçalves, Bruno Marcos, João P. Honrado and José Silvestre and has published in prestigious journals such as Journal of Hydrology, Journal of Environmental Management and Landscape and Urban Planning.

In The Last Decade

Isabel Pôças

34 papers receiving 1.1k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Isabel Pôças Portugal 19 617 548 405 232 221 36 1.1k
Caitlin E. Moore Australia 21 884 1.4× 762 1.4× 571 1.4× 102 0.4× 226 1.0× 44 1.6k
Óscar Pérez‐Priego Spain 23 1.2k 1.9× 734 1.3× 554 1.4× 206 0.9× 265 1.2× 49 1.6k
Ahmad Khan United States 10 711 1.2× 710 1.3× 255 0.6× 105 0.5× 302 1.4× 15 1.4k
N. R. Patel India 19 827 1.3× 538 1.0× 353 0.9× 99 0.4× 232 1.0× 71 1.3k
Julie Betbeder France 18 507 0.8× 840 1.5× 252 0.6× 112 0.5× 467 2.1× 39 1.3k
Hyungsuk Kimm United States 18 920 1.5× 778 1.4× 524 1.3× 105 0.5× 264 1.2× 27 1.4k
Mary E. Martin United States 11 444 0.7× 352 0.6× 200 0.5× 181 0.8× 129 0.6× 12 899
Michael Sprintsin Israel 13 714 1.2× 568 1.0× 527 1.3× 131 0.6× 273 1.2× 21 1.1k
Sebinasi Dzikiti South Africa 18 649 1.1× 319 0.6× 333 0.8× 220 0.9× 114 0.5× 54 1.1k

Countries citing papers authored by Isabel Pôças

Since Specialization
Citations

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

Fields of papers citing papers by Isabel Pôças

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Isabel Pôças

This figure shows the co-authorship network connecting the top 25 collaborators of Isabel Pôças. A scholar is included among the top collaborators of Isabel Pôças 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 Isabel Pôças. Isabel Pôças 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.
Campos, João C., Salvador Arenas‐Castro, Isabel Pôças, et al.. (2025). Montrends: A Google Earth engine application for analysing species' habitat suitability over time. Ecological Informatics. 89. 103201–103201.
2.
Almeida, Wilk Sampaio de, et al.. (2024). Estimating Evapotranspiration of Rainfed Winegrapes Combining Remote Sensing and the SIMDualKc Soil Water Balance Model. Water. 16(18). 2567–2567. 1 indexed citations
3.
Pôças, Isabel, Cátia Rodrigues de Almeida, Salvador Arenas‐Castro, et al.. (2024). Spectral Library of Plant Species from Montesinho Natural Park in Portugal. Data. 9(5). 65–65. 1 indexed citations
4.
Campos, João C., Salvador Arenas‐Castro, Lia Duarte, et al.. (2024). Dynamic shifts of functional diversity through climate-resilient strategies and farmland restoration in a mountain protected area. Journal of Environmental Management. 366. 121622–121622. 4 indexed citations
5.
Campos, João C., Lia Duarte, Salvador Arenas‐Castro, et al.. (2024). Assessing spatial and temporal trends over time in potential species richness using satellite time-series and ecological niche models. Biodiversity and Conservation. 34(2). 429–446.
6.
Campos, João C., Lia Duarte, Salvador Arenas‐Castro, et al.. (2024). Biodiversity dataset and atlas of the special area of conservation Montesinho/Nogueira, Portugal. ZooKeys. 12. e118854–e118854. 5 indexed citations
7.
Campos, João C., Lia Duarte, Salvador Arenas‐Castro, et al.. (2023). MontObEO, Montesinho biodiversity observatory: an Earth observation tool for biodiversity conservation. 45–45. 2 indexed citations
8.
Martins, Rui C., et al.. (2022). Canopy VIS-NIR spectroscopy and self-learning artificial intelligence for a generalised model of predawn leaf water potential in Vitis vinifera. Biosystems Engineering. 219. 235–258. 20 indexed citations
9.
Pôças, Isabel, et al.. (2020). Assessing predawn leaf water potential based on hyperspectral data and pigment’s concentration of Vitis vinifera L. in the Douro Wine Region. Scientia Horticulturae. 278. 109860–109860. 17 indexed citations
10.
11.
Pôças, Isabel, et al.. (2019). Toward a generalized predictive model of grapevine water status in Douro region from hyperspectral data. Agricultural and Forest Meteorology. 280. 107793–107793. 26 indexed citations
12.
Pôças, Isabel, et al.. (2019). Modelling evapotranspiration of soilless cut roses 'Red Naomi' based on climatic and crop predictors. Horticultural Science. 46(2). 107–114. 2 indexed citations
13.
Pôças, Isabel, et al.. (2019). Agricultural drought monitoring based on soil moisture derived from the optical trapezoid model in Mozambique. Journal of Applied Remote Sensing. 13(2). 1–1. 31 indexed citations
14.
Pôças, Isabel, et al.. (2018). Retrieval of Maize Leaf Area Index Using Hyperspectral and Multispectral Data. Remote Sensing. 10(12). 1942–1942. 39 indexed citations
15.
Paço, Teresa A., Isabel Pôças, Mário Cunha, et al.. (2014). Evapotranspiration and crop coefficients for a super intensive olive orchard. An application of SIMDualKc and METRIC models using ground and satellite observations. Journal of Hydrology. 519. 2067–2080. 103 indexed citations
16.
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
17.
Vicente, Joana R., Rui F. Fernandes, Christophe F. Randin, et al.. (2013). Will climate change drive alien invasive plants into areas of high protection value? An improved model-based regional assessment to prioritise the management of invasions. Journal of Environmental Management. 131. 185–195. 89 indexed citations
18.
Pôças, Isabel, Mário Cunha, & L. S. Pereira. (2012). Dynamics of mountain semi-natural grassland meadows inferred from SPOT-VEGETATION and field spectroradiometer data. International Journal of Remote Sensing. 33(14). 4334–4355. 18 indexed citations
19.
20.
Pôças, Isabel, L. S. Pereira, & Mário Cunha. (2007). PASTAGENS COMO FACTOR DE CONSERVAÇÃO DA ÁGUA EM ZONAS DE MONTANHA, OS LAMEIROS *. 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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