F. Badran
Impact in
- Oceanography top 5%
- Oceanographic and Atmospheric Processes
- Marine and coastal ecosystems
- Ocean Waves and Remote Sensing
- Underwater Acoustics Research
- Atmospheric Science top 10%
- Meteorological Phenomena and Simulations
Papers in
- Oceanography 15
- Ocean Waves and Remote Sensing 7
- Underwater Acoustics Research 7
- Marine and coastal ecosystems 3
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- Neural Networks and Applications 11
- Co-authors
- Sylvie Thiria (26 shared papers)Michel Crépon (13 shared papers)Patrick Gallinari (1 shared paper)Françoise Fogelman‐Soulié (1 shared paper)Carlos Mejía (7 shared papers)F. Anouar (2 shared papers)Awa Niang (1 shared paper)C. Moulin (1 shared paper)
- Journals
- Journal of Geophysical Research Atmospheres (5 papers)Neural Networks (3 papers)Inverse Problems (2 papers)Remote Sensing of Environment (2 papers)Neurocomputing (2 papers)
- Partner nations
- FranceBelgiumFrench Guiana
In The Last Decade
F. Badran
24 papers receiving 403 citations
Peers
Comparison fields: 5 of 78
- Oceanography 208
- Atmospheric Science 111
- Environmental Engineering 67
- Global and Planetary Change 89
- Artificial Intelligence 139
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-authors
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
Showing the 20 most-cited of 27 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 1991 | 114 | |
| 2 | 1993 | 79 | |
| 3 | 2015 | 44 | |
| 4 | 1998 | 34 | |
| 5 | 2005 | 32 | |
| 6 | 2000 | 26 | |
| 7 | 1991 | 25 | |
| 8 | 2005 | 25 | |
| 9 | 2011 | 21 | |
| 10 | 2007 | 10 | |
| 11 | 2002 | 8 | |
| 12 | 1999 | 7 | |
| 13 | 1996 | 6 | |
| 14 | 2000 | 5 | |
| 15 | 1996 | 4 | |
| 16 | 2002 | 4 | |
| 17 | 2005 | 3 | |
| 18 | Comparison of the Neural Network GMFs of the ERS1 and NSCAT scatterometers | 1997 | 2 |
| 19 | 2002 | 2 | |
| 20 | 2010 | 2 |
About F. Badran
F. Badran is a scholar working on Oceanography, Artificial Intelligence, Environmental Engineering, Computer Vision and Pattern Recognition and Geophysics, having authored 27 papers that have together received 458 indexed citations. Recurring topics across this work include Neural Networks and Applications (11 papers), Ocean Waves and Remote Sensing (7 papers), Underwater Acoustics Research (7 papers), Soil Moisture and Remote Sensing (6 papers), Seismic Imaging and Inversion Techniques (4 papers), Blind Source Separation Techniques (3 papers), Marine and coastal ecosystems (3 papers) and Meteorological Phenomena and Simulations (3 papers). The work is most often cited by research in Oceanography (208 citations), Atmospheric Science (111 citations), Environmental Engineering (67 citations), Global and Planetary Change (89 citations) and Artificial Intelligence (139 citations). F. Badran has collaborated with scholars based in France, Belgium and French Guiana. Frequent co-authors include Sylvie Thiria, Michel Crépon, Patrick Gallinari, Françoise Fogelman‐Soulié, Carlos Mejía, F. Anouar, Awa Niang, C. Moulin, Hervé Roquet and Philippe Richaume. Their work appears in journals such as Journal of Geophysical Research Atmospheres, Neural Networks, Inverse Problems, Remote Sensing of Environment and Neurocomputing.
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.