Raphaël Huser

3.1k citations
72 papers · 1.6k · h-index 20

Impact in

    • Hydrology and Drought Analysis
    • Climate variability and models
    • Flood Risk Assessment and Management
    • Fire effects on ecosystems
  • Finance top 2%
    • Financial Risk and Volatility Modeling

Papers in

    • Hydrology and Drought Analysis 18
    • Climate variability and models 14
    • Fire effects on ecosystems 8
    • Financial Risk and Volatility Modeling 26

Raphaël Huser

69 papers receiving 1.6k citations

Peers

Raphaël Huser
Comparison fields: 5 of 85
  • Global and Planetary Change 804
  • Finance 340
  • Management, Monitoring, Policy and Law 371
  • Statistics and Probability 211
  • Environmental Engineering 311
Replace Qiang Dai with:
Qiang Dai United Kingdom
K. F. Turkman Portugal
Daniel Cooley United States
Eric Gilleland United States
Chunsheng Ma United States
Ed Waymire United States
Francesco Serinaldi United Kingdom
N. T. Kottegoda Italy
Mathieu Ribatet France
N. C. Matalas United States
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Citations per field
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Qiang Dai · 1×
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-authors

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

Showing the 20 most-cited of 72 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2016149
2 2017120
3 2015116
4 2016109
5 201881
6 201379
7 201874
8 202169
9 201561
10 201359
11 201651
12 201751
13 201844
14 201644
15 201542
16 202326
17 201925
18 202423
19 202221
20 202220

About Raphaël Huser

Raphaël Huser is a scholar working on Global and Planetary Change, Finance, Environmental Engineering, Economics and Econometrics and Statistics and Probability, having authored 72 papers that have together received 1.6k indexed citations. Recurring topics across this work include Financial Risk and Volatility Modeling (26 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 (804 citations), Finance (340 citations), Management, Monitoring, Policy and Law (371 citations), Statistics and Probability (211 citations) and Environmental Engineering (311 citations). Raphaël Huser has collaborated with scholars based in Saudi Arabia, United Kingdom and France. Frequent co-authors include A. C. Davison, Marc G. Genton, Luigi Lombardo, Thomas Opitz, Daniela Castro‐Camilo, Jennifer L. Wadsworth, P. Martín, Emeric Thibaud, Rob J. Hyndman and Souhaib Ben Taieb. Their work appears in journals such as Journal of Computational and Graphical Statistics, The Annals of Applied Statistics, Extremes, Journal of the American Statistical Association and Spatial Statistics.

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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