Filipe Aires

8.7k total citations
145 papers, 5.3k citations indexed

About

Filipe Aires is a scholar working on Atmospheric Science, Global and Planetary Change and Environmental Engineering. According to data from OpenAlex, Filipe Aires has authored 145 papers receiving a total of 5.3k indexed citations (citations by other indexed papers that have themselves been cited), including 91 papers in Atmospheric Science, 90 papers in Global and Planetary Change and 46 papers in Environmental Engineering. Recurrent topics in Filipe Aires's work include Meteorological Phenomena and Simulations (53 papers), Climate variability and models (49 papers) and Precipitation Measurement and Analysis (35 papers). Filipe Aires is often cited by papers focused on Meteorological Phenomena and Simulations (53 papers), Climate variability and models (49 papers) and Precipitation Measurement and Analysis (35 papers). Filipe Aires collaborates with scholars based in France, United States and United Kingdom. Filipe Aires's co-authors include Catherine Prigent, William B. Rossow, Fabrice Papa, Elaine Matthews, A. Chédin, C. Prigent, C. Jiménez, Carlos Jiménez, Jana Kolassa and N. A. Scott and has published in prestigious journals such as Journal of Geophysical Research Atmospheres, The Science of The Total Environment and Remote Sensing of Environment.

In The Last Decade

Filipe Aires

141 papers receiving 5.2k citations

Peers

Filipe Aires

GPC

WST

OCEAN

Catherine Prigent France

Hans Hersbach United Kingdom

Sujay V. Kumar United States

Bin Yong China

Gabriëlle De Lannoy Belgium

Youlong Xia United States

D. L. Toll United States

Jean‐Noël Thépaut United Kingdom

Harald Kunstmann Germany

M. G. Bosilovich United States

Catherine Prigent France

Filipe Aires

4.2k ×1.4

GPC

4.3k ×1.4

2.5k ×1.4

1.3k ×1.3

WST

1.1k ×1.6

OCEAN

Citations per year, relative to Filipe Aires Filipe Aires (= 1×) peers Catherine Prigent

Countries citing papers authored by Filipe Aires

Since Specialization

Citations

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

Fields of papers citing papers by Filipe Aires

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Filipe Aires

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

All Works

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20 of 20 papers shown

Aires, Filipe, et al.. (2025). Climate change impacts on Robusta coffee production in Vietnam. Environmental Research Letters. 20(11). 114059–114059.

Aires, Filipe & Victor Pellet. (2024). Synergizing AI and Physical Expertise to Close the Water Budget from Satellite Data. Journal of Hydrometeorology. 25(9). 1303–1321. 1 indexed citations

Pellet, Victor, et al.. (2023). Learning Global Evapotranspiration Dataset Corrections from a Water Cycle Closure Supervision. Remote Sensing. 16(1). 170–170. 4 indexed citations

Pellet, Victor, Filipe Aires, Lorenzo Alfieri, & Giulia Bruno. (2023). A physical/statistical data-fusion for the dynamical downscaling of GRACE data at daily and 1 km resolution. Journal of Hydrology. 628. 130565–130565. 3 indexed citations

Boucher, Eulalie & Filipe Aires. (2023). Towards a new generation of artificial‐intelligence‐based infrared atmospheric sounding interferometer retrievals of surface temperature: Part II – Assessment. Quarterly Journal of the Royal Meteorological Society. 149(754). 1593–1611. 3 indexed citations

Aires, Filipe, et al.. (2022). Nested leave-two-out cross-validation for the optimal crop yield model selection. Geoscientific model development. 15(9). 3519–3535. 13 indexed citations

Ran, Qinwei, Filipe Aires, Philippe Ciais, et al.. (2022). The Status and Influencing Factors of Surface Water Dynamics on the Qinghai-Tibet Plateau During 2000–2020. IEEE Transactions on Geoscience and Remote Sensing. 61. 1–14. 9 indexed citations

Pellet, Victor, Filipe Aires, & Dai Yamazaki. (2021). Coherent Satellite Monitoring of the Water Cycle Over the Amazon. Part 2: Total Water Storage Change and River Discharge Estimation. Water Resources Research. 57(5). 8 indexed citations

Aires, Filipe, Peter Weston, Patricia de Rosnay, & David Fairbairn. (2021). Statistical approaches to assimilate ASCAT soil moisture information—I. Methodologies and first assessment. Quarterly Journal of the Royal Meteorological Society. 147(736). 1823–1852. 19 indexed citations

10.

Pellet, Victor, Filipe Aires, Dai Yamazaki, & Fabrice Papa. (2021). Coherent Satellite Monitoring of the Water Cycle Over the Amazon. Part 1: Methodology and Initial Evaluation. Water Resources Research. 57(5). 6 indexed citations

11.

Kilic, Lise, et al.. (2020). Ice Concentration Retrieval from the Analysis of Microwaves: A New Methodology Designed for the Copernicus Imaging Microwave Radiometer. Remote Sensing. 12(7). 1060–1060. 15 indexed citations

12.

Safieddine, Sarah, M. George, Filipe Aires, et al.. (2020). Artificial Neural Networks to Retrieve Land and Sea Skin Temperature from IASI. Remote Sensing. 12(17). 2777–2777. 14 indexed citations

13.

Fleischmann, Ayan Santos, Rodrigo Cauduro Dias de Paiva, Walter Collischonn, et al.. (2020). Trade‐Offs Between 1‐D and 2‐D Regional River Hydrodynamic Models. Water Resources Research. 56(8). 25 indexed citations

14.

Pellet, Victor, Filipe Aires, Fabrice Papa, Simon Munier, & Bertrand Decharme. (2020). Long-term total water storage change from a Satellite Water Cycle reconstruction over large southern Asian basins. Hydrology and earth system sciences. 24(6). 3033–3055. 19 indexed citations

15.

Daskin, Joshua H., Filipe Aires, & A. Carla Staver. (2019). Determinants of tree cover in tropical floodplains. Proceedings of the Royal Society B Biological Sciences. 286(1914). 20191755–20191755. 9 indexed citations

16.

Prigent, Catherine, et al.. (2019). Detecting cloud contamination in passive microwave satellite measurements over land. Atmospheric measurement techniques. 12(3). 1531–1543. 7 indexed citations

17.

Rodríguez-Fernández, Nemesio, Patricia de Rosnay, Clément Albergel, et al.. (2019). SMOS Neural Network Soil Moisture Data Assimilation in a Land Surface Model and Atmospheric Impact. Remote Sensing. 11(11). 1334–1334. 33 indexed citations

18.

Safieddine, Sarah, Cathy Clerbaux, Lieven Clarisse, et al.. (2019). Eleven Years of Earth’s Skin Temperature from IASI. HAL (Le Centre pour la Communication Scientifique Directe). 21. 9003. 1 indexed citations

19.

Pellet, Victor & Filipe Aires. (2018). Bottleneck Channels Algorithm for Satellite Data Dimension Reduction: A Case Study for IASI. IEEE Transactions on Geoscience and Remote Sensing. 56(10). 6069–6081. 8 indexed citations

20.

Aires, Filipe, Catherine Prigent, Etienne Fluet‐Chouinard, et al.. (2018). Comparison of visible and multi-satellite global inundation datasets at high-spatial resolution. Remote Sensing of Environment. 216. 427–441. 43 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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