Pablo Reyes-Muñoz

431 total citations
11 papers, 242 citations indexed

About

Pablo Reyes-Muñoz is a scholar working on Ecology, Global and Planetary Change and Environmental Engineering. According to data from OpenAlex, Pablo Reyes-Muñoz has authored 11 papers receiving a total of 242 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Ecology, 6 papers in Global and Planetary Change and 5 papers in Environmental Engineering. Recurrent topics in Pablo Reyes-Muñoz's work include Remote Sensing in Agriculture (10 papers), Remote Sensing and LiDAR Applications (5 papers) and Plant Water Relations and Carbon Dynamics (4 papers). Pablo Reyes-Muñoz is often cited by papers focused on Remote Sensing in Agriculture (10 papers), Remote Sensing and LiDAR Applications (5 papers) and Plant Water Relations and Carbon Dynamics (4 papers). Pablo Reyes-Muñoz collaborates with scholars based in Spain, Mexico and Germany. Pablo Reyes-Muñoz's co-authors include Katja Berger, Jochem Verrelst, Juan Pablo Rivera, Giulia Tagliabue, Luca Pipia, Eatidal Amin, Tobias Hank, Cinzia Panigada, Matthias Wocher and Mirco Boschetti and has published in prestigious journals such as Remote Sensing of Environment, Remote Sensing and Ecological Indicators.

In The Last Decade

Pablo Reyes-Muñoz

9 papers receiving 230 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Pablo Reyes-Muñoz Spain 7 177 95 89 68 39 11 242
Hamid Dashti United States 8 173 1.0× 88 0.9× 102 1.1× 60 0.9× 36 0.9× 19 225
Joyce Arabian Canada 4 175 1.0× 120 1.3× 88 1.0× 75 1.1× 30 0.8× 4 273
Elnaz Neinavaz Netherlands 7 178 1.0× 146 1.5× 133 1.5× 81 1.2× 53 1.4× 16 310
Momchil Yordanov Italy 8 183 1.0× 90 0.9× 80 0.9× 80 1.2× 48 1.2× 10 250
Pablo Morcillo-Pallarés Spain 9 287 1.6× 141 1.5× 136 1.5× 103 1.5× 52 1.3× 11 361
Jinbang Peng China 8 237 1.3× 114 1.2× 41 0.5× 136 2.0× 30 0.8× 10 322
Feng Qiu China 11 292 1.6× 98 1.0× 174 2.0× 178 2.6× 39 1.0× 29 373
Demei Zhao China 10 224 1.3× 83 0.9× 63 0.7× 103 1.5× 48 1.2× 14 316
Cheryl Rogers Canada 10 179 1.0× 62 0.7× 216 2.4× 81 1.2× 44 1.1× 19 299
Xiaojin Qian China 9 190 1.1× 53 0.6× 173 1.9× 104 1.5× 31 0.8× 20 294

Countries citing papers authored by Pablo Reyes-Muñoz

Since Specialization
Citations

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

Fields of papers citing papers by Pablo Reyes-Muñoz

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Pablo Reyes-Muñoz. 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 Pablo Reyes-Muñoz. The network helps show where Pablo Reyes-Muñoz may publish in the future.

Co-authorship network of co-authors of Pablo Reyes-Muñoz

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

All Works

11 of 11 papers shown
1.
Brown, Luke A., Richard Fernandes, Jochem Verrelst, et al.. (2025). GROUNDED EO: Data-driven Sentinel-2 LAI and FAPAR retrieval using Gaussian processes trained with extensive fiducial reference measurements. Remote Sensing of Environment. 326. 114797–114797.
2.
Reyes-Muñoz, Pablo, et al.. (2025). Tower-to-global upscaling of terrestrial carbon fluxes driven by MODIS-LAI, Sentinel-3-LAI and ERA5-Land data. Ecological Indicators. 177. 113597–113597.
3.
Reyes-Muñoz, Pablo, et al.. (2024). Multi-decadal temporal reconstruction of Sentinel-3 OLCI-based vegetation products with multi-output Gaussian process regression. Ecological Informatics. 83. 102816–102816. 3 indexed citations
4.
Reyes-Muñoz, Pablo, Katja Berger, Luca Pipia, et al.. (2024). Inferring global terrestrial carbon fluxes from the synergy of Sentinel 3 & 5P with Gaussian process hybrid models. Remote Sensing of Environment. 305. 114072–114072. 16 indexed citations
6.
Reyes-Muñoz, Pablo, et al.. (2023). Cloud-Free Global Maps of Essential Vegetation Traits Processed from the TOA Sentinel-3 Catalogue in Google Earth Engine. Remote Sensing. 15(13). 3404–3404. 16 indexed citations
7.
Reyes-Muñoz, Pablo, et al.. (2023). Synergy of Sentinel-1 and Sentinel-2 Time Series for Cloud-Free Vegetation Water Content Mapping with Multi-Output Gaussian Processes. Remote Sensing. 15(7). 1822–1822. 11 indexed citations
8.
Berger, Katja, Luca Pipia, Juan Pablo Rivera, et al.. (2022). Gaussian processes retrieval of crop traits in Google Earth Engine based on Sentinel-2 top-of-atmosphere data. Remote Sensing of Environment. 273. 112958–112958. 73 indexed citations
9.
Reyes-Muñoz, Pablo, Luca Pipia, Santiago Belda, et al.. (2022). Quantifying Fundamental Vegetation Traits over Europe Using the Sentinel-3 OLCI Catalogue in Google Earth Engine. Remote Sensing. 14(6). 1347–1347. 19 indexed citations
11.
Verrelst, Jochem, Juan Pablo Rivera, Pablo Reyes-Muñoz, et al.. (2021). Mapping landscape canopy nitrogen content from space using PRISMA data. ISPRS Journal of Photogrammetry and Remote Sensing. 178. 382–395. 92 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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