Floriane Provost

739 citations
22 papers · 467 · h-index 9

Impact in

Papers in

Floriane Provost

21 papers receiving 456 citations

Peers

Floriane Provost
Comparison fields: 5 of 53
  • Management, Monitoring, Policy and Law 257
  • Geophysics 248
  • Artificial Intelligence 190
  • Atmospheric Science 80
  • Geology 14
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Countries citing papers authored by Floriane Provost

Since Specialization
Citations

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

Fields of papers citing papers by Floriane Provost

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Floriane Provost, 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 Floriane Provost Line = papers co-authored together Floriane Provost links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 22 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2016131
2 201774
3 201754
4 201846
5 201941
6 201938
7 202225
8 202423
9 20238
10 20187
11
Automatic classification of endogenous seismic sources within a landslide body using random forest algorithm
20165
12 20183
13
Automated seismic detection of landslides at regional scales: a Random Forest based detection algorithm for Alaska and the Himalaya.
20172
14 20212
15 20252
16
Driving factors of hard rock cliff erosion in Brittany, France
20181
17
Automated seismic detection of landslides at regional scales: a Random Forest based detection algorithm
20171
18
Ambient seismic noise monitoring of the Super-Sauze landslide from a very dense temporary seismic array
20171
19
DInSAR and PSI methods for the recognition of landslides: an experience in the Romanian Subcarpathians
20151
20
20 years of landslide activity in Alaska from automated machine-learning based seismic detection
20181

About Floriane Provost

Floriane Provost is a scholar working on Management, Monitoring, Policy and Law, Artificial Intelligence, Geophysics, Atmospheric Science and Aerospace Engineering, having authored 22 papers that have together received 467 indexed citations. Recurring topics across this work include Landslides and related hazards (17 papers), Seismology and Earthquake Studies (8 papers), Seismic Waves and Analysis (4 papers), Cryospheric studies and observations (4 papers), Synthetic Aperture Radar (SAR) Applications and Techniques (3 papers), earthquake and tectonic studies (3 papers), Anomaly Detection Techniques and Applications (3 papers) and Earthquake Detection and Analysis (2 papers). The work is most often cited by research in Management, Monitoring, Policy and Law (257 citations), Geophysics (248 citations), Artificial Intelligence (190 citations), Atmospheric Science (80 citations) and Geology (14 citations). Floriane Provost has collaborated with scholars based in France, Italy and Türkiye. Frequent co-authors include Clément Hibert, Jean‐Philippe Malet, André Stumpf, David Michéa, Valérie Ferrazzini, Alessia Maggi, Marten Geertsema, Fabrizio Pacini, Frédéric Berger and Franck Bourrier. Their work appears in journals such as Earth Surface Dynamics, Geophysical Journal International, IEEE Transactions on Geoscience and Remote Sensing, Journal of Volcanology and Geothermal Research and Scientific Reports.

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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