Raphaël Huser

2.9k citations
71 papers · 1.5k indexed · h-index 20

Raphaël Huser

66 papers receiving 1.5k citations

Peers

Raphaël Huser
Comparison fields: 5 of 86
  • Global and Planetary Change 782
  • Finance 330
  • Management, Monitoring, Policy and Law 344
  • Statistics and Probability 212
  • Environmental Engineering 302
Replace Qiang Dai with:
Qiang Dai United Kingdom
K. F. Turkman Portugal
Eric Gilleland United States
N. T. Kottegoda United Kingdom
Mathieu Ribatet France
N. C. Matalas United States
Olivier Mestre France
William Kleiber United States
Petra Friederichs Germany
Roman Krzysztofowicz United States
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Citations per field
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Citations per year

Countries citing papers authored by Raphaël Huser

Since Specialization
Citations

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

Fields of papers citing papers by Raphaël Huser

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20254
2 20250
3 20251
4 20242
5 20241
6 202412
7 20244
8 202418
9 20241
10 20235
11 202321
12 20232
13 20198
14 201913
15 201919
16 20199
17 201844
18 20183
19 2017117
20
A comparative study of likelihood estimators for multivariate extremes
20141

About Raphaël Huser

Raphaël Huser is a scholar working on Finance, Statistics and Probability, Global and Planetary Change, Environmental Engineering and Management, Monitoring, Policy and Law, having authored 71 papers that have together received 1.5k indexed citations. Recurring topics across this work include Financial Risk and Volatility Modeling (25 papers), Hydrology and Drought Analysis (18 papers), Soil Geostatistics and Mapping (17 papers), Climate variability and models (14 papers), Statistical Methods and Inference (13 papers), Landslides and related hazards (12 papers), Spatial and Panel Data Analysis (9 papers) and Fire effects on ecosystems (8 papers). The work is most often cited by research in Global and Planetary Change (782 citations), Finance (330 citations), Management, Monitoring, Policy and Law (344 citations), Statistics and Probability (212 citations) and Environmental Engineering (302 citations). Raphaël Huser has collaborated with scholars based in Saudi Arabia, France and United Kingdom. Frequent co-authors include A. C. Davison, Marc G. Genton, Luigi Lombardo, Thomas Opitz, Daniela Castro‐Camilo, Jennifer L. Wadsworth, Rob J. Hyndman, Emeric Thibaud, P. Martín and Souhaib Ben Taieb. Their work appears in journals such as The Annals of Applied Statistics, Journal of Computational and Graphical Statistics, Journal of the American Statistical Association, Spatial Statistics and Extremes.

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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