M. Caparrini
- Environmental Engineering top 2%
- Soil Moisture and Remote Sensing 12
- Oceanography top 5%
- Ocean Waves and Remote Sensing 9
- Geophysics and Gravity Measurements 2
- Oceanographic and Atmospheric Processes 2
- Aerospace Engineering top 5%
- GNSS positioning and interference 2
- Synthetic Aperture Radar (SAR) Applications and Techniques 2
- Atmospheric Science top 10%
- Precipitation Measurement and Analysis 3
- Cognitive Neuroscience top 10%
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- Underwater Vehicles and Communication Systems 2
- Co-authors
- Giulio RuffiniManuel Martín‐NeiraOlivier GermainF. SoulatJ. FontCai GrauAureli Soria‐FrischAlejandro Riera
- Journals
- Geophysical Research Letters (2 papers)IEEE Transactions on Geoscience and Remote Sensing (2 papers)EURASIP Journal on Advances in Signal Processing (1 paper)
- Partner nations
- NetherlandsSpainItaly
In The Last Decade
M. Caparrini
14 papers receiving 577 citations
Peers
Comparison fields: 5 of 37
- Environmental Engineering 409
- Oceanography 270
- Aerospace Engineering 274
- Atmospheric Science 168
- Cognitive Neuroscience 111
Countries citing papers authored by M. Caparrini
This map shows the geographic impact of M. Caparrini'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. Caparrini with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites M. Caparrini more than expected).
Fields of papers citing papers by M. Caparrini
This network shows the impact of papers produced by M. Caparrini. 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. Caparrini. The network helps show where M. Caparrini may publish in the future.
Co-authorship network
The 25 scholars most cited alongside M. Caparrini, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2013 | 10 | |
| 2 | 2013 | 9 | |
| 3 | 2013 | 3 | |
| 4 | 2007 | 121 | |
| 5 | 2007 | 22 | |
| 6 | 2007 | 23 | |
| 7 | 2006 | 2 | |
| 8 | 2006 | 11 | |
| 9 | 2006 | 1 | |
| 10 | 2005 | 4 | |
| 11 | 2004 | 9 | |
| 12 | 2004 | 98 | |
| 13 | 2004 | 117 | |
| 14 | 2001 | 172 |
About M. Caparrini
M. Caparrini is a scholar working on Environmental Engineering, Oceanography, Atmospheric Science, Aerospace Engineering and Ocean Engineering, having authored 14 papers that have together received 602 indexed citations. Recurring topics across this work include Soil Moisture and Remote Sensing (12 papers), Ocean Waves and Remote Sensing (9 papers), Precipitation Measurement and Analysis (3 papers), GNSS positioning and interference (2 papers), Geophysics and Gravity Measurements (2 papers), Underwater Vehicles and Communication Systems (2 papers), Synthetic Aperture Radar (SAR) Applications and Techniques (2 papers) and Oceanographic and Atmospheric Processes (2 papers). The work is most often cited by research in Environmental Engineering (409 citations), Oceanography (270 citations), Aerospace Engineering (274 citations), Atmospheric Science (168 citations) and Cognitive Neuroscience (111 citations). M. Caparrini has collaborated with scholars based in Netherlands, Spain and Italy. Frequent co-authors include Giulio Ruffini, Manuel Martín‐Neira, Olivier Germain, F. Soulat, J. Font, Cai Grau, Aureli Soria‐Frisch, Alejandro Riera, Paco López‐Dekker and R. Sabia. Their work appears in journals such as Geophysical Research Letters, IEEE Transactions on Geoscience and Remote Sensing, EURASIP Journal on Advances in Signal Processing, 57th International Astronautical Congress and Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE.
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.