Maxime Taillardat

429 total citations
10 papers, 237 citations indexed

About

Maxime Taillardat is a scholar working on Atmospheric Science, Global and Planetary Change and Environmental Engineering. According to data from OpenAlex, Maxime Taillardat has authored 10 papers receiving a total of 237 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Atmospheric Science, 7 papers in Global and Planetary Change and 2 papers in Environmental Engineering. Recurrent topics in Maxime Taillardat's work include Meteorological Phenomena and Simulations (8 papers), Climate variability and models (5 papers) and Hydrology and Drought Analysis (4 papers). Maxime Taillardat is often cited by papers focused on Meteorological Phenomena and Simulations (8 papers), Climate variability and models (5 papers) and Hydrology and Drought Analysis (4 papers). Maxime Taillardat collaborates with scholars based in France, Switzerland and Germany. Maxime Taillardat's co-authors include Olivier Mestre, Philippe Naveau, Michaël Zamo, Anne‐Laure Fougères, Matthieu Lafaysse, Guillaume Évin, Clément Dombry, Jonas Bhend, François Bouttier and Sebastian Lerch and has published in prestigious journals such as Journal of Hydrology, Monthly Weather Review and International Journal of Forecasting.

In The Last Decade

Maxime Taillardat

10 papers receiving 230 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Maxime Taillardat France 7 149 140 72 38 26 10 237
J. M. Sloughter United States 4 260 1.7× 275 2.0× 84 1.2× 20 0.5× 65 2.5× 7 365
G. Candille Canada 7 403 2.7× 411 2.9× 90 1.3× 19 0.5× 47 1.8× 11 496
Martin Göber Germany 7 212 1.4× 207 1.5× 44 0.6× 9 0.2× 17 0.7× 11 281
Igor Gómez Spain 13 239 1.6× 271 1.9× 61 0.8× 36 0.9× 25 1.0× 40 374
Badrinath Nagarajan Canada 8 239 1.6× 199 1.4× 90 1.3× 76 2.0× 21 0.8× 11 349
Stephan Hemri Switzerland 10 212 1.4× 264 1.9× 72 1.0× 31 0.8× 82 3.2× 16 320
Sa‐Aat Niwitpong Thailand 9 32 0.2× 93 0.7× 51 0.7× 11 0.3× 17 0.7× 76 285
Xiaohui Zhong China 10 229 1.5× 188 1.3× 79 1.1× 42 1.1× 11 0.4× 23 333
T. A. Hall United States 7 96 0.6× 76 0.5× 90 1.3× 44 1.2× 11 0.4× 13 260
Jinrong Jiang China 11 168 1.1× 173 1.2× 33 0.5× 22 0.6× 13 0.5× 44 319

Countries citing papers authored by Maxime Taillardat

Since Specialization
Citations

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

Fields of papers citing papers by Maxime Taillardat

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Maxime Taillardat

This figure shows the co-authorship network connecting the top 25 collaborators of Maxime Taillardat. A scholar is included among the top collaborators of Maxime Taillardat based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Maxime Taillardat. Maxime Taillardat is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

10 of 10 papers shown
1.
Dombry, Clément, et al.. (2025). Proper scoring rules for multivariate probabilistic forecasts based on aggregation and transformation. arXiv (Cornell University). 11(1). 23–58. 2 indexed citations
2.
Bhend, Jonas, Sebastian Lerch, Cristina Primo, et al.. (2023). The EUPPBench postprocessing benchmark dataset v1.0. Earth system science data. 15(6). 2635–2653. 17 indexed citations
3.
Taillardat, Maxime, et al.. (2022). Evaluating probabilistic forecasts of extremes using continuous ranked probability score distributions. International Journal of Forecasting. 39(3). 1448–1459. 8 indexed citations
4.
Dombry, Clément, et al.. (2022). Distributional regression and its evaluation with the CRPS: Bounds and convergence of the minimax risk. International Journal of Forecasting. 39(4). 1564–1572. 3 indexed citations
5.
Évin, Guillaume, Matthieu Lafaysse, Maxime Taillardat, & Michaël Zamo. (2021). Calibrated ensemble forecasts of the height of new snow using quantile regression forests and ensemble model output statistics. Nonlinear processes in geophysics. 28(3). 467–480. 9 indexed citations
6.
Taillardat, Maxime. (2021). Skewed and Mixture of Gaussian Distributions for Ensemble Postprocessing. Atmosphere. 12(8). 966–966. 6 indexed citations
7.
Goutal, Nicole, et al.. (2021). Strategies for hydrologic ensemble generation and calibration: On the merits of using model-based predictors. Journal of Hydrology. 599. 126233–126233. 8 indexed citations
8.
Taillardat, Maxime & Olivier Mestre. (2020). From research to applications – examples of operational ensemble post-processing in France using machine learning. Nonlinear processes in geophysics. 27(2). 329–347. 32 indexed citations
9.
Taillardat, Maxime, Olivier Mestre, Anne‐Laure Fougères, & Philippe Naveau. (2017). New approaches for rainfall ensemble post-processing with a focus on extreme and rare events. EGU General Assembly Conference Abstracts. 2839. 1 indexed citations
10.
Taillardat, Maxime, Olivier Mestre, Michaël Zamo, & Philippe Naveau. (2016). Calibrated Ensemble Forecasts Using Quantile Regression Forests and Ensemble Model Output Statistics. Monthly Weather Review. 144(6). 2375–2393. 151 indexed citations

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.

Explore authors with similar magnitude of impact

Breakdown of academic impact, for papers by J. M. Sloughter Breakdown of academic impact, for papers by G. Candille Breakdown of academic impact, for papers by Martin Göber Breakdown of academic impact, for papers by Igor Gómez Breakdown of academic impact, for papers by Badrinath Nagarajan Breakdown of academic impact, for papers by Stephan Hemri Breakdown of academic impact, for papers by Sa‐Aat Niwitpong Breakdown of academic impact, for papers by Xiaohui Zhong Breakdown of academic impact, for papers by T. A. Hall Breakdown of academic impact, for papers by Jinrong Jiang
Rankless by CCL
2026