Pedro Mateus

758 total citations
34 papers, 515 citations indexed

About

Pedro Mateus is a scholar working on Oceanography, Aerospace Engineering and Environmental Engineering. According to data from OpenAlex, Pedro Mateus has authored 34 papers receiving a total of 515 indexed citations (citations by other indexed papers that have themselves been cited), including 22 papers in Oceanography, 19 papers in Aerospace Engineering and 15 papers in Environmental Engineering. Recurrent topics in Pedro Mateus's work include Geophysics and Gravity Measurements (19 papers), Soil Moisture and Remote Sensing (14 papers) and GNSS positioning and interference (12 papers). Pedro Mateus is often cited by papers focused on Geophysics and Gravity Measurements (19 papers), Soil Moisture and Remote Sensing (14 papers) and GNSS positioning and interference (12 papers). Pedro Mateus collaborates with scholars based in Portugal, Italy and Russia. Pedro Mateus's co-authors include Giovanni Nico, João Catalão, Pedro Miranda, Ricardo Tomé, V. B. Mendes, Sandra Plecha, Anna Kontu, Maria Gritsevich, Ricardo Dalagnol and Laura S. Borma and has published in prestigious journals such as SHILAP Revista de lepidopterología, Geophysical Research Letters and IEEE Transactions on Geoscience and Remote Sensing.

In The Last Decade

Pedro Mateus

31 papers receiving 511 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Pedro Mateus Portugal 14 348 261 206 198 124 34 515
Fadwa Alshawaf Germany 12 240 0.7× 227 0.9× 75 0.4× 125 0.6× 144 1.2× 20 375
Johan Löfgren Sweden 8 423 1.2× 437 1.7× 478 2.3× 85 0.4× 34 0.3× 15 595
Maximilian Semmling Germany 16 376 1.1× 380 1.5× 534 2.6× 268 1.4× 60 0.5× 45 715
N. Steunou France 11 131 0.4× 487 1.9× 70 0.3× 253 1.3× 30 0.2× 21 618
Randall Rose United States 4 195 0.6× 214 0.8× 354 1.7× 287 1.4× 25 0.2× 10 485
Alejandro Egido Netherlands 12 396 1.1× 237 0.9× 572 2.8× 406 2.1× 15 0.1× 33 770
Carolyn Roesler United States 9 150 0.4× 186 0.7× 156 0.8× 79 0.4× 27 0.2× 15 302
J. F. Marchan-Hernandez Spain 14 465 1.3× 351 1.3× 868 4.2× 522 2.6× 36 0.3× 40 939
Giuseppe Foti United Kingdom 12 447 1.3× 388 1.5× 837 4.1× 517 2.6× 37 0.3× 18 961
O. Nogués‐Correig Spain 11 388 1.1× 305 1.2× 550 2.7× 276 1.4× 60 0.5× 22 661

Countries citing papers authored by Pedro Mateus

Since Specialization
Citations

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

Fields of papers citing papers by Pedro Mateus

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Pedro Mateus

This figure shows the co-authorship network connecting the top 25 collaborators of Pedro Mateus. A scholar is included among the top collaborators of Pedro Mateus 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 Pedro Mateus. Pedro Mateus 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.
Mateus, Pedro, João Catalão, Rui Fernandes, & Pedro Miranda. (2024). Atmospheric Water Vapor Variability over Houston: Continuous GNSS Tomography in the Year of Hurricane Harvey (2017). Remote Sensing. 16(17). 3205–3205.
2.
Mateus, Pedro, João Catalão, & Giovanni Nico. (2024). Improving the Accuracy and Spatial Resolution of ERA5 Precipitable Water Vapor Using InSAR Data. IEEE Geoscience and Remote Sensing Letters. 21. 1–5. 1 indexed citations
3.
Mateus, Pedro, Giovanni Nico, João Catalão, & Pedro Miranda. (2024). Precipitable water vapor from Sentinel‐1 improves the forecast of extratropical storm Barbara. Quarterly Journal of the Royal Meteorological Society. 150(761). 1988–2004. 1 indexed citations
4.
Miranda, Pedro, David K. Adams, Ricardo Tomé, Rui Fernandes, & Pedro Mateus. (2023). Optimizing Boundary Conditions in GNSS Tomography: A Continuous 7‐Month Case Study in the Amazon. Geophysical Research Letters. 50(22). 3 indexed citations
5.
Plecha, Sandra, Ana Teles‐Machado, Ricardo Tomé, & Pedro Mateus. (2023). Offshore wind data assessment near the Iberian Peninsula over the last 25 years. SHILAP Revista de lepidopterología. 2(2). 25008–25008. 3 indexed citations
6.
Mateus, Pedro, V. B. Mendes, & Sandra Plecha. (2021). HGPT2: An ERA5-Based Global Model to Estimate Relative Humidity. Remote Sensing. 13(11). 2179–2179. 28 indexed citations
7.
Mateus, Pedro, Pedro Miranda, Giovanni Nico, & João Catalão. (2021). Continuous Multitrack Assimilation of Sentinel‐1 Precipitable Water Vapor Maps for Numerical Weather Prediction: How Far Can We Go With Current InSAR Data?. Journal of Geophysical Research Atmospheres. 126(3). 14 indexed citations
8.
Mateus, Pedro, João Catalão, V. B. Mendes, & Giovanni Nico. (2020). An ERA5-Based Hourly Global Pressure and Temperature (HGPT) Model. Remote Sensing. 12(7). 1098–1098. 37 indexed citations
9.
Miranda, Pedro, Pedro Mateus, Giovanni Nico, et al.. (2019). InSAR Meteorology: High‐Resolution Geodetic Data Can Increase Atmospheric Predictability. Geophysical Research Letters. 46(5). 2949–2955. 25 indexed citations
10.
Nico, Giovanni, et al.. (2018). On The Estimation of Temporal Changes of Snow Water Equivalent by Spaceborne Sar Interferometry: A New Application for the Sentinel-1 Mission. Journal of Hydrology and Hydromechanics. 67(1). 93–100. 37 indexed citations
11.
Mateus, Pedro, Giovanni Nico, & João Catalão. (2017). Assimilation of Sentinel-1 estimates of Precipitable Water Vapor (PWV) into a Numerical Weather Model for a more accurate forecast of extreme weather events. EGUGA. 14987. 1 indexed citations
12.
Mateus, Pedro, João Catalão, & Giovanni Nico. (2017). Sentinel-1 Interferometric SAR Mapping of Precipitable Water Vapor Over a Country-Spanning Area. IEEE Transactions on Geoscience and Remote Sensing. 55(5). 2993–2999. 37 indexed citations
13.
Mateus, Pedro, Laura S. Borma, Ricardo Dalagnol, Giovanni Nico, & João Catalão. (2016). Assessment of two techniques to merge ground-based and TRMM rainfall measurements: a case study about Brazilian Amazon Rainforest. GIScience & Remote Sensing. 53(6). 689–706. 11 indexed citations
14.
Mateus, Pedro, Ricardo Tomé, Giovanni Nico, & João Catalão. (2016). Three-Dimensional Variational Assimilation of InSAR PWV Using the WRFDA Model. IEEE Transactions on Geoscience and Remote Sensing. 54(12). 7323–7330. 31 indexed citations
15.
Mateus, Pedro, Giovanni Nico, & João Catalão. (2015). Uncertainty Assessment of the Estimated Atmospheric Delay Obtained by a Numerical Weather Model (NMW). IEEE Transactions on Geoscience and Remote Sensing. 53(12). 6710–6717. 34 indexed citations
16.
Mateus, Pedro, Giovanni Nico, Ricardo Tomé, João Catalão, & Pedro Miranda. (2012). On The Mitigation Of Atmospheric Phase Delay Artefacts In Interferometric SAR Time Series. ESASP. 697. 67. 1 indexed citations
17.
Mateus, Pedro, Giovanni Nico, & João Catalão. (2012). Using TerraSAR-X SAR interferometric data to derive maps of the atmospheric phase delay. 3819–3822.
18.
Mateus, Pedro, Giovanni Nico, Ricardo Tomé, João Catalão, & Pedro Miranda. (2010). Approaches to Mitigate Atmosphere Artefacts in SAR Interferograms: GPS vs. WRF Model. ESASP. 677. 12. 2 indexed citations
19.
Mateus, Pedro, Giovanni Nico, & João Catalão. (2010). Interpolating MERIS and GPS measurements of precipitable water vapour (PWV) to estimate atmospheric phase delay maps. Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE. 7827. 782713–782713. 7 indexed citations
20.
Mateus, Pedro, Giovanni Nico, Ricardo Tomé, João Catalão, & Pedro Miranda. (2010). Comparison of precipitable water vapor (PWV) maps derived by GPS, SAR interferometry, and numerical forecasting models. Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE. 7827. 782714–782714. 2 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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