Marie‐Amélie Boucher

1.5k total citations · 1 hit paper
44 papers, 899 citations indexed

About

Marie‐Amélie Boucher is a scholar working on Water Science and Technology, Global and Planetary Change and Atmospheric Science. According to data from OpenAlex, Marie‐Amélie Boucher has authored 44 papers receiving a total of 899 indexed citations (citations by other indexed papers that have themselves been cited), including 37 papers in Water Science and Technology, 21 papers in Global and Planetary Change and 19 papers in Atmospheric Science. Recurrent topics in Marie‐Amélie Boucher's work include Hydrology and Watershed Management Studies (37 papers), Hydrological Forecasting Using AI (15 papers) and Flood Risk Assessment and Management (13 papers). Marie‐Amélie Boucher is often cited by papers focused on Hydrology and Watershed Management Studies (37 papers), Hydrological Forecasting Using AI (15 papers) and Flood Risk Assessment and Management (13 papers). Marie‐Amélie Boucher collaborates with scholars based in Canada, France and United States. Marie‐Amélie Boucher's co-authors include François Anctil, Luc Perreault, Jan Adamowski, John Quilty, Romain Chesnaux, Denis Tremblay, L. D. Delorme, Jing Xu, Richard Turcotte and André St‐Hilaire and has published in prestigious journals such as Water Resources Research, Journal of Hydrology and Hydrological Processes.

In The Last Decade

Marie‐Amélie Boucher

41 papers receiving 878 citations

Hit Papers

Hybrid forecasting: blending climate predictions with AI ... 2023 2026 2024 2025 2023 25 50 75
What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

  1. Hybrid forecasting: blending climate predictions with AI models
    2023 93 citations Louise Slater, Louise Arnal et al. Hydrology and earth system sciences profile →

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Marie‐Amélie Boucher Canada 18 598 465 459 275 100 44 899
William Farmer United States 17 759 1.3× 538 1.2× 326 0.7× 116 0.4× 115 1.1× 46 1.0k
V. P. Singh India 21 1.1k 1.9× 846 1.8× 447 1.0× 303 1.1× 115 1.1× 72 1.5k
A. Musy Switzerland 13 657 1.1× 389 0.8× 229 0.5× 285 1.0× 129 1.3× 60 981
Alden Keefe Sampson United States 7 814 1.4× 658 1.4× 766 1.7× 152 0.6× 59 0.6× 10 1.0k
Elena Volpi Italy 25 672 1.1× 974 2.1× 302 0.7× 297 1.1× 129 1.3× 54 1.3k
Dapeng Feng United States 12 707 1.2× 456 1.0× 632 1.4× 112 0.4× 39 0.4× 13 883
Cristina Prieto Spain 10 656 1.1× 550 1.2× 494 1.1× 108 0.4× 54 0.5× 23 819
Jingkai Xie China 15 324 0.5× 363 0.8× 198 0.4× 129 0.5× 86 0.9× 30 682
Babak Vaheddoost Türkiye 17 373 0.6× 653 1.4× 254 0.6× 92 0.3× 85 0.8× 56 917
A. Ünal Şorman Türkiye 18 541 0.9× 627 1.3× 344 0.7× 514 1.9× 44 0.4× 48 1.2k

Countries citing papers authored by Marie‐Amélie Boucher

Since Specialization
Citations

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

Fields of papers citing papers by Marie‐Amélie Boucher

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Marie‐Amélie Boucher. 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 Marie‐Amélie Boucher. The network helps show where Marie‐Amélie Boucher may publish in the future.

Co-authorship network of co-authors of Marie‐Amélie Boucher

This figure shows the co-authorship network connecting the top 25 collaborators of Marie‐Amélie Boucher. A scholar is included among the top collaborators of Marie‐Amélie Boucher 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 Marie‐Amélie Boucher. Marie‐Amélie Boucher is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Boucher, Marie‐Amélie, et al.. (2025). Cold climates, complex hydrology: can a land surface model accurately simulate deep percolation?. Hydrology and earth system sciences. 29(11). 2445–2465.
2.
Chesnaux, Romain, et al.. (2024). Toward a methodology to explore historical groundwater level trends and their origin: the case of Quebec, Canada. Environmental Earth Sciences. 83(6). 1 indexed citations
3.
Boucher, Marie‐Amélie, et al.. (2024). Emerging strategies for addressing flood-damage modeling issues: A review. International Journal of Disaster Risk Reduction. 116. 105058–105058. 3 indexed citations
4.
Slater, Louise, Louise Arnal, Marie‐Amélie Boucher, et al.. (2023). Hybrid forecasting: blending climate predictions with AI models. Hydrology and earth system sciences. 27(9). 1865–1889. 93 indexed citations breakdown →
5.
Boucher, Marie‐Amélie, et al.. (2023). Uncertainty in three dimensions: the challenges of communicating probabilistic flood forecast maps. Hydrology and earth system sciences. 27(18). 3351–3373.
6.
Boucher, Marie‐Amélie, et al.. (2023). Combining large-scale and regional hydrological forecasts using simple methods. Canadian Water Resources Journal / Revue canadienne des ressources hydriques. 49(2). 171–188.
7.
Xu, Jing, François Anctil, & Marie‐Amélie Boucher. (2022). Exploring hydrologic post-processing of ensemble streamflow forecasts based on affine kernel dressing and non-dominated sorting genetic algorithm II. Hydrology and earth system sciences. 26(4). 1001–1017. 5 indexed citations
8.
Boucher, Marie‐Amélie, et al.. (2022). Large-scale snow data assimilation using a spatialized particle filter: recovering the spatial structure of the particles. ˜The œcryosphere. 16(9). 3489–3506. 5 indexed citations
9.
Boucher, Marie‐Amélie, et al.. (2021). Investigating ANN architectures and training to estimate snow water equivalent from snow depth. Hydrology and earth system sciences. 25(6). 3017–3040. 24 indexed citations
10.
11.
Boucher, Marie‐Amélie, et al.. (2020). Using artificial neural networks to estimate snow water equivalent from snow depth. Canadian Water Resources Journal / Revue canadienne des ressources hydriques. 45(3). 252–268. 16 indexed citations
12.
Xu, Jing, François Anctil, & Marie‐Amélie Boucher. (2019). Hydrological post-processing of streamflow forecasts issued from multimodel ensemble prediction systems. Journal of Hydrology. 578. 124002–124002. 28 indexed citations
13.
Quilty, John, Jan Adamowski, & Marie‐Amélie Boucher. (2018). A Stochastic Data‐Driven Ensemble Forecasting Framework for Water Resources: A Case Study Using Ensemble Members Derived From a Database of Deterministic Wavelet‐Based Models. Water Resources Research. 55(1). 175–202. 64 indexed citations
14.
Boucher, Marie‐Amélie, et al.. (2017). Verification of ECMWF System4 for seasonal hydrologicalforecasting in a northern climate. 2 indexed citations
15.
Boucher, Marie‐Amélie, et al.. (2017). Moving beyond the cost–loss ratio: economic assessment of streamflow forecasts for a risk-averse decision maker. Hydrology and earth system sciences. 21(6). 2967–2986. 21 indexed citations
16.
Boucher, Marie‐Amélie, et al.. (2017). Verification of ECMWF System 4 for seasonal hydrological forecasting in a northern climate. Hydrology and earth system sciences. 21(11). 5747–5762. 24 indexed citations
17.
Anctil, François, et al.. (2016). Accounting for three sources of uncertainty in ensemble hydrological forecasting. Hydrology and earth system sciences. 20(5). 1809–1825. 67 indexed citations
18.
Boucher, Marie‐Amélie, et al.. (2010). An experiment on the evolution of an ensemble of neural networks for streamflow forecasting. Hydrology and earth system sciences. 14(3). 603–612. 33 indexed citations
19.
Velázquez, J. A., et al.. (2009). An evaluation of the Canadian global meteorological ensemble prediction system for short-term hydrological forecasting. Hydrology and earth system sciences. 13(11). 2221–2231. 38 indexed citations
20.
Anctil, François, et al.. (2008). Neural Network Input Selection for Hydrological Forecasting Affected by Snowmelt1. JAWRA Journal of the American Water Resources Association. 44(3). 679–688. 4 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.

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