F. Martín-Porqueras

2.2k citations
12 papers · 154 indexed · h-index 6
Topics
Soil Moisture and Remote Sensing (8 papers)Precipitation Measurement and Analysis (3 papers)GNSS positioning and interference (2 papers)
Journals
IEEE Transactions on Geoscience and Remote SensingMeasurementProceedings of the Satellite Division's International Technical Meeting (Online)
Partner nations
NetherlandsSpainFinland

In The Last Decade

F. Martín-Porqueras

12 papers receiving 145 citations

Peers

F. Martín-Porqueras
Comparison fields: 5 of 23
  • Environmental Engineering 119
  • Atmospheric Science 93
  • Aerospace Engineering 76
  • Oceanography 22
  • Astronomy and Astrophysics 21
Replace Mike Brown with:
Mike Brown Netherlands
D. Rose United States
Bradley Isom United States
S. Rogacki United States
Daniel Gómez-García United States
Jordi Figueras i Ventura Switzerland
M.P.M. Hall United Kingdom
Ali Khazâal France
Gregory Meymaris United States
Ahoro Adachi Japan
F. Martín-Porqueras relative to Mike Brown Netherlands Mike Brown's profile →
Citations per field
00.5×1.5×
Mike Brown · 1×
Citations per year

Countries citing papers authored by F. Martín-Porqueras

Since Specialization
Citations

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

Fields of papers citing papers by F. Martín-Porqueras

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by F. Martín-Porqueras. 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 F. Martín-Porqueras. The network helps show where F. Martín-Porqueras may publish in the future.

Co-authorship network of co-authors of F. Martín-Porqueras

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

All Works

12 of 12 papers shown
#WorkIndexed citations
1 19
2 1
3 31
4 3
5 5
6 4
7 8
8
A large scale microwave emission model for forests. Contribution to the SMOS algorithm
1
9 2
10 1
11 58
12 21

About F. Martín-Porqueras

F. Martín-Porqueras is a scholar working on Environmental Engineering, Oceanography and Atmospheric Science, having authored 12 papers that have together received 154 indexed citations. Recurring topics across this work include Soil Moisture and Remote Sensing (8 papers), Precipitation Measurement and Analysis (3 papers) and GNSS positioning and interference (2 papers). The work is most often cited by research in Environmental Engineering (119 citations), Atmospheric Science (93 citations) and Aerospace Engineering (76 citations). F. Martín-Porqueras has collaborated with scholars based in Netherlands, Spain and Finland. Frequent co-authors include Manuel Martín‐Neira, Juha Kainulainen, Martin Süess, I. Corbella, F. Torres, Roger Oliva, François Cabot, Joseph Tenerelli, Paweł Wielgosz and Rafał Sieradzki. Their work appears in journals such as IEEE Transactions on Geoscience and Remote Sensing, Measurement and Proceedings of the Satellite Division's International Technical Meeting (Online).

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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