Emeric Thibaud

684 citations
11 papers · 448 · h-index 8

Impact in

Papers in

Emeric Thibaud

11 papers receiving 439 citations

Peers

Emeric Thibaud
Comparison fields: 5 of 54
  • Ecological Modeling 102
  • Global and Planetary Change 228
  • Finance 108
  • Statistics and Probability 66
  • Environmental Engineering 90
Replace Marco Oesting with:
Marco Oesting Germany
Earl S. Johnson United States
J. Sansom New Zealand
Xiaoyu Xing China
Kellie Wills United States
Marzia Marcheselli Italy
Lelys Bravo de Guenni Venezuela
Michael Flechsig Germany
Anthony Bova United States
William H. Aeberhard Switzerland
Emeric Thibaud relative to Marco Oesting Germany Marco Oesting's profile →
Citations per field
00.5×7.3×
Marco Oesting · 1×
Citations per year

Countries citing papers authored by Emeric Thibaud

Since Specialization
Citations

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

Fields of papers citing papers by Emeric Thibaud

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 12 scholars most cited alongside Emeric Thibaud, 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 Emeric Thibaud Line = papers co-authored together Emeric Thibaud links everyone, so they are left out of the graph.

All Works

11 of 11 papers shown
#Work
1 2014119
2 201369
3 201361
4 201557
5 201753
6 201727
7 201924
8 201524
9 20207
10
Penultimate modeling of spatial extremes: statistical inference for max-infinitely divisible processes
20184
11 20193

About Emeric Thibaud

Emeric Thibaud is a scholar working on Finance, Global and Planetary Change, Environmental Engineering, Economics and Econometrics and Statistics and Probability, having authored 11 papers that have together received 448 indexed citations. Recurring topics across this work include Hydrology and Drought Analysis (6 papers), Financial Risk and Volatility Modeling (6 papers), Climate variability and models (4 papers), Spatial and Panel Data Analysis (3 papers), Soil Geostatistics and Mapping (2 papers), Statistical Methods and Inference (2 papers), Statistical Distribution Estimation and Applications (1 paper) and Species Distribution and Climate Change (1 paper). The work is most often cited by research in Ecological Modeling (102 citations), Global and Planetary Change (228 citations), Finance (108 citations), Statistics and Probability (66 citations) and Environmental Engineering (90 citations). Emeric Thibaud has collaborated with scholars based in Switzerland, United States and Saudi Arabia. Frequent co-authors include A. C. Davison, Thomas Opitz, Raphaël Huser, Antoine Guisan, Olivier Broennimann, Blaise Petitpierre, Daniel Cooley, Brian J. Reich, Seth Westra and Michael Leonard. Their work appears in journals such as Water Resources Research, Methods in Ecology and Evolution, Journal of Agricultural Biological and Environmental Statistics, Mathematical Geosciences and Biometrika.

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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