Ronan Fablet

6.0k citations
171 papers · 3.1k indexed · 1 hit paper · h-index 32

Ronan Fablet

160 papers receiving 3.0k citations

Hit Papers

Machine Learning With Data Assimilation and Uncertainty Q...12720232026202420254080120

Peers

Ronan Fablet
Comparison fields: 5 of 143
  • Oceanography 784
  • Global and Planetary Change 1.1k
  • Computer Vision and Pattern Recognition 629
  • Nature and Landscape Conservation 365
  • Atmospheric Science 477
Replace Jules S. Jaffe with:
Jules S. Jaffe United States
Arnt-Børre Salberg Norway
Philipp Fischer Germany
Henry A. Ruhl United Kingdom
Oscar Pizarro Australia
Stefan B. Williams Australia
Hanumant Singh United States
Alim Samat China
Brian J. Bett United Kingdom
Paul R. White United Kingdom
Ronan Fablet relative to Jules S. Jaffe United States Jules S. Jaffe's profile →
Citations per field
00.5×5.7×
Jules S. Jaffe · 1×
Citations per year

Countries citing papers authored by Ronan Fablet

Since Specialization
Citations

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

Fields of papers citing papers by Ronan Fablet

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Ronan Fablet. 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 Ronan Fablet. The network helps show where Ronan Fablet may publish in the future.

Co-authorship network

The 25 scholars most cited alongside Ronan Fablet, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Ronan Fablet Line = papers co-authored together Ronan Fablet links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 20256
2 20241
3 20248
4 20241
5 20244
6 20240
7 20244
8 20237
9 202323
10 20231
11 20226
12 20215
13 202114
14 20213
15 202179
16 202010
17 20197
18 201812
19 201729
20 20164

About Ronan Fablet

Ronan Fablet is a scholar working on Oceanography, Global and Planetary Change and Atmospheric Science, having authored 171 papers that have together received 3.1k indexed citations. Recurring topics across this work include Oceanographic and Atmospheric Processes (53 papers), Marine and fisheries research (39 papers), Meteorological Phenomena and Simulations (35 papers), Climate variability and models (24 papers), Underwater Acoustics Research (23 papers), Ocean Waves and Remote Sensing (23 papers), Marine and coastal ecosystems (17 papers) and Marine animal studies overview (13 papers). The work is most often cited by research in Oceanography (784 citations), Global and Planetary Change (1.1k citations) and Computer Vision and Pattern Recognition (629 citations). Ronan Fablet has collaborated with scholars based in France, Spain and United States. Frequent co-authors include Aurélien Ducournau, François Rousseau, Hélène de Pontual, Redouane Lguensat, Chi-Hieu Pham, Patrick Bouthémy, Pierre Tandeo, Bertrand Chapron, Sophie Bertrand and Guillaume Hajduch. Their work appears in journals such as Nature Communications, SHILAP Revista de lepidopterología and PLoS ONE.

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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