Louise Arnal

1.1k citations
22 papers · 508 indexed · 1 hit paper · h-index 11
Topics
Hydrology and Watershed Management Studies (16 papers)Flood Risk Assessment and Management (11 papers)Hydrological Forecasting Using AI (6 papers)

In The Last Decade

Louise Arnal

22 papers receiving 499 citations

Hit Papers

Hybrid forecasting: blending climate predictions with AI ...20232026202420252023255075

Peers

Louise Arnal
Comparison fields: 5 of 55
  • Global and Planetary Change 368
  • Water Science and Technology 330
  • Atmospheric Science 194
  • Environmental Engineering 156
  • Ocean Engineering 38
Replace Davide Muraro with:
Davide Muraro Italy
Priyank J. Sharma India
Stefan Lüdtke Germany
Felipe Quintero United States
Michael Cranston United Kingdom
Jan Verkade Netherlands
Kevin Werner United States
Bastian Klein Germany
Solomon Seyoum Netherlands
André Schardong Canada
Louise Arnal relative to Davide Muraro Italy Davide Muraro's profile →
Citations per field
00.5×
Davide Muraro · 1×
Citations per year

Countries citing papers authored by Louise Arnal

Since Specialization
Citations

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

Fields of papers citing papers by Louise Arnal

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Louise Arnal

This figure shows the co-authorship network connecting the top 25 collaborators of Louise Arnal. A scholar is included among the top collaborators of Louise Arnal 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 Louise Arnal. Louise Arnal 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
#WorkIndexed citations
1 1
2 1
3 3
4 2
5
Hybrid forecasting: blending climate predictions with AI modelsbreakdown →
93
6 18
7 27
8 6
9 4
10 34
11 2
12 23
13 20
14 1
15 16
16 77
17 106
18
Developing a global operational seasonal hydro-meteorological forecasting system
2
19 8
20 37

About Louise Arnal

Louise Arnal is a scholar working on Water Science and Technology, Global and Planetary Change and Atmospheric Science, having authored 22 papers that have together received 508 indexed citations. Recurring topics across this work include Hydrology and Watershed Management Studies (16 papers), Flood Risk Assessment and Management (11 papers) and Hydrological Forecasting Using AI (6 papers). The work is most often cited by research in Water Science and Technology (330 citations), Global and Planetary Change (368 citations) and Environmental Engineering (156 citations). Louise Arnal has collaborated with scholars based in United Kingdom, Canada and United States. Frequent co-authors include Hannah Cloke, Florian Pappenberger, Elisabeth Stephens, Christel Prudhomme, Jessica Neumann, Fredrik Wetterhall, Andrew W. Wood, Blazej Krzeminski, Rebecca Emerton and Peter Salamon. Their work appears in journals such as SHILAP Revista de lepidopterología, Water Resources Research and Bulletin of the American Meteorological Society.

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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