F. Badran
- Oceanography top 5%
- Underwater Acoustics Research 7
- Ocean Waves and Remote Sensing 7
- Marine and coastal ecosystems 3
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- Meteorological Phenomena and Simulations 3
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- Soil Moisture and Remote Sensing 6
- Artificial Intelligence top 10%
- Neural Networks and Applications 7
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- Seismic Imaging and Inversion Techniques 4
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- Blind Source Separation Techniques 3
- Co-authors
- Sylvie ThiriaMichel CréponCarlos MejíaFrançoise Fogelman‐SouliéPatrick GallinariF. AnouarAwa NiangC. Moulin
- Journals
- Journal of Geophysical Research Atmospheres (5 papers)Neurocomputing (2 papers)Remote Sensing of Environment (2 papers)
- Partner nations
- FranceBelgiumFrench Guiana
In The Last Decade
F. Badran
21 papers receiving 344 citations
Peers
Comparison fields: 5 of 72
- Oceanography 194
- Atmospheric Science 98
- Environmental Engineering 63
- Global and Planetary Change 77
- Artificial Intelligence 98
Countries citing papers authored by F. Badran
This map shows the geographic impact of F. Badran'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. Badran with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites F. Badran more than expected).
Fields of papers citing papers by F. Badran
This network shows the impact of papers produced by F. Badran. 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. Badran. The network helps show where F. Badran may publish in the future.
Co-authorship network
The 25 scholars most cited alongside F. Badran, 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 | 2024 | 5 | |
| 2 | 2015 | 43 | |
| 3 | 2011 | 20 | |
| 4 | 2010 | 2 | |
| 5 | 2009 | 1 | |
| 6 | 2007 | 9 | |
| 7 | 2005 | 3 | |
| 8 | 2005 | 32 | |
| 9 | 2002 | 4 | |
| 10 | 2002 | 2 | |
| 11 | 2002 | 0 | |
| 12 | 2002 | 0 | |
| 13 | 2002 | 7 | |
| 14 | 1999 | 7 | |
| 15 | 1998 | 28 | |
| 16 | Comparison of the Neural Network GMFs of the ERS1 and NSCAT scatterometers | 1997 | 2 |
| 17 | 1997 | 1 | |
| 18 | 1996 | 5 | |
| 19 | 1993 | 73 | |
| 20 | 1991 | 94 |
About F. Badran
F. Badran is a scholar working on Oceanography, Environmental Engineering, Geophysics, Signal Processing and Atmospheric Science, having authored 23 papers that have together received 392 indexed citations. Recurring topics across this work include Underwater Acoustics Research (7 papers), Neural Networks and Applications (7 papers), Ocean Waves and Remote Sensing (7 papers), Soil Moisture and Remote Sensing (6 papers), Seismic Imaging and Inversion Techniques (4 papers), Blind Source Separation Techniques (3 papers), Meteorological Phenomena and Simulations (3 papers) and Marine and coastal ecosystems (3 papers). The work is most often cited by research in Oceanography (194 citations), Atmospheric Science (98 citations), Environmental Engineering (63 citations), Global and Planetary Change (77 citations) and Artificial Intelligence (98 citations). F. Badran has collaborated with scholars based in France, Belgium and French Guiana. Frequent co-authors include Sylvie Thiria, Michel Crépon, Carlos Mejía, Françoise Fogelman‐Soulié, Patrick Gallinari, F. Anouar, Awa Niang, C. Moulin, Philippe Richaume and Hervé Roquet. Their work appears in journals such as Journal of Geophysical Research Atmospheres, Neurocomputing, Remote Sensing of Environment, Neural Networks and Inverse Problems.
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.