M. Vall‐llossera
About
In The Last Decade
M. Vall‐llossera
179 papers receiving 3.4k citations
Peers
Comparison fields: 5 of 81
- Environmental Engineering 3.0k
- Atmospheric Science 2.2k
- Aerospace Engineering 1.1k
- Oceanography 603
- Global and Planetary Change 323
Countries citing papers authored by M. Vall‐llossera
This map shows the geographic impact of M. Vall‐llossera'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 M. Vall‐llossera with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites M. Vall‐llossera more than expected).
Fields of papers citing papers by M. Vall‐llossera
This network shows the impact of papers produced by M. Vall‐llossera. 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 M. Vall‐llossera. The network helps show where M. Vall‐llossera may publish in the future.
Co-authorship network of co-authors of M. Vall‐llossera
This figure shows the co-authorship network connecting the top 25 collaborators of M. Vall‐llossera. A scholar is included among the top collaborators of M. Vall‐llossera 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 M. Vall‐llossera. M. Vall‐llossera is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Title | Journal | Authors | Indexed citations |
|---|---|---|---|---|
| 1 | 60-m Resolution Soil Moisture Estimation Based on a Multisensor Feedforward Neural Network Model | IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing | M. Vall‐llossera, Carlos López-Martínez et al. | 3 |
| 2 | Spatial Spectra Assessment of SMOS Soil Moisture at Different Spatial Scales | DIGITAL.CSIC (Spanish National Research Council (CSIC)) | Míriam Pablos, Antonio Turiel et al. | 1 |
| 3 | Estimation of Gravimetric Vegetation Moisture in the Western United States Using a Multi-Sensor Approach | QRU Quaderns de Recerca en Urbanisme | David Chaparro, Thomas Jagdhuber et al. | 0 |
| 4 | A Random Forest Approach for Soil Moisture Estimation at 60 Meters Spatial Resolution | QRU Quaderns de Recerca en Urbanisme | M. Vall‐llossera, Carlos López-Martínez et al. | 2 |
| 5 | Global Unsupervised Assessment of Multifrequency Vegetation Optical Depth Sensitivity to Vegetation Cover | IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing | David Chaparro, M. Vall‐llossera et al. | 10 |
| 6 | Validation of SMOS L3 AND L4 Soil Moisture Products In The Remedhus (SPAIN) AND CEMADEN (BRAZIL) Networks | Revista Brasileira de Geografia Física | M. Vall‐llossera, Adriano Camps et al. | 6 |
| 7 | Influence of Quality Filtering Approaches in BEC SMOS L3 Soil Moisture Products | DIGITAL.CSIC (Spanish National Research Council (CSIC)) | Míriam Pablos, M. Vall‐llossera et al. | 2 |
| 8 | Soil Moisture Maps At Very High Spatial Resolution Through Optical, Thermal And L-Band Observations | Nilda Sánchez, María Piles et al. | 1 | |
| 9 | First results of the PAU-SA synthetic aperture radiometer | I. Ramos‐Perez, Giuseppe Forte et al. | 1 | |
| 10 | Study of maize plants effects in the retrieval of soil moisture using the interference pattern GNSS-R technique | QRU Quaderns de Recerca en Urbanisme | Xavier Bosch-Lluis, Albert Aguasca et al. | 8 |
| 11 | On-ground tests and measurements of the Passive Advanced Unit Synthetic Aperture (PAU-SA) | I. Ramos‐Perez, Xavier Bosch-Lluis et al. | 3 | |
| 12 | Improving the Spatial Resolution of Synthetic Aperture Radiometer Imagery using Auxiliary Information: Application to the Smos Mission | Adriano Camps, M. Vall‐llossera et al. | 1 | |
| 13 | Towards an ocean salinity error budget estimation within the SMOS mission | Roberto Sabia, Adriano Camps et al. | 4 | |
| 14 | Soil Moisture Retrieval Using L-band Radiometry: Dependence on Soil Type and Moisture Profiles | A. Monerris, M. Vall‐llossera et al. | 11 | |
| 15 | Denormalization of Visibilities for In-Orbit Calibration of Interferometric Radiometers | IEEE Transactions on Geoscience and Remote Sensing | F. Torres, I. Corbella et al. | 28 |
| 16 | Sea surface emissivity at L-band: derived dependence with incidence and azimuth angles | ESASP | Adriano Camps, Ramón Villarino et al. | 3 |
| 17 | Sea surface emissivity modeling at L-band: an inter-comparison study | ESASP | M. Vall‐llossera, Adriano Camps et al. | 4 |
| 18 | Retrieved sea surface salinity and wind speed from L-band measurements for WISE and EuroSTARRS campaigns | DIGITAL.CSIC (Spanish National Research Council (CSIC)) | Carolina Gabarró, Jordi Font et al. | 3 |
| 19 | Reduction of the model noise in non-linear reconstruction via an efficient calculation of the incident field: application to a 434 MHz scanner | UPCommons institutional repository (Universitat Politècnica de Catalunya) | Jean‐Michel Geffrin, Jordi J. Mallorquí et al. | 2 |
| 20 | End-to-end Simulator of 2-D Interferometric Radiometry | Fernando Rubio‐Marcos, Francisco J. Martínez et al. | 2 |
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.