Frédéric Ratle

2.1k citations
13 papers · 1.1k · 1 hit paper · h-index 9

Impact in

Papers in

Frédéric Ratle

13 papers receiving 1.0k citations

Frédéric Ratle's Hit Papers

Active Learning Methods for Remote Sensing Image Classification 2009 · 389 citations
3890+5+11Years since publication100200300

Peers

Frédéric Ratle
Comparison fields: 5 of 110
  • Media Technology 564
  • Computer Vision and Pattern Recognition 408
  • Atmospheric Science 287
  • Artificial Intelligence 390
  • Analytical Chemistry 60
Replace Swarnajyoti Patra with:
Swarnajyoti Patra India
Srinivas Andra United States
Biplab Banerjee India
Shou Feng China
Xiaofeng Zhao China
Guo Cao China
Anil Cheriyadat United States
Youcef Chibani Algeria
Md. Al Mamun Bangladesh
Yuli Sun China
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Citations per field
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Citations per year

Countries citing papers authored by Frédéric Ratle

Since Specialization
Citations

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

Fields of papers citing papers by Frédéric Ratle

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 18 scholars most cited alongside Frédéric Ratle, 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 Frédéric Ratle Line = papers co-authored together Frédéric Ratle links everyone, so they are left out of the graph.

All Works

13 of 13 papers shown
#Work
1
Active Learning Methods for Remote Sensing Image Classification
Hit paper breakdown →
2009389
2 2010268
3 2008240
4 201071
5 200736
6 200820
7 200920
8 200619
9 20079
10
Pattern analysis in illicit heroin seizures: a novel application of machine learning algorithms.
20066
11 20106
12 20085
13 20081

About Frédéric Ratle

Frédéric Ratle is a scholar working on Media Technology, Computer Vision and Pattern Recognition, Artificial Intelligence, Computational Theory and Mathematics and Atmospheric Science, having authored 13 papers that have together received 1.1k indexed citations. Recurring topics across this work include Remote-Sensing Image Classification (4 papers), Remote Sensing and Land Use (3 papers), Advanced Image and Video Retrieval Techniques (3 papers), Machine Learning and Algorithms (3 papers), Analytical Chemistry and Chromatography (2 papers), Fire effects on ecosystems (2 papers), Metabolomics and Mass Spectrometry Studies (2 papers) and Data-Driven Disease Surveillance (2 papers). The work is most often cited by research in Media Technology (564 citations), Computer Vision and Pattern Recognition (408 citations), Atmospheric Science (287 citations), Artificial Intelligence (390 citations) and Analytical Chemistry (60 citations). Frédéric Ratle has collaborated with scholars based in Switzerland, United States and Italy. Frequent co-authors include Jason Weston, Devis Tuia, Gustau Camps‐Valls, Mikhaïl Kanevski, Fabio Pacifici, Ronan Collobert, William J. Emery, Alexei Pozdnoukhov, Luciano Telesca and Vincent Achim. Their work appears in journals such as IEEE Transactions on Geoscience and Remote Sensing, Communications in Nonlinear Science and Numerical Simulation, IEEE Geoscience and Remote Sensing Letters, Applied Soft Computing and Chemometrics and Intelligent Laboratory Systems.

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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