Laure Zanna

5.9k citations
89 papers · 2.8k indexed · 3 hit papers · h-index 27
Topics
Climate variability and models (73 papers)Oceanographic and Atmospheric Processes (65 papers)Meteorological Phenomena and Simulations (34 papers)

In The Last Decade

Laure Zanna

86 papers receiving 2.8k citations

Hit Papers

The causes of sea-level rise since 19002019202620212023202020192022100200300

Peers

Laure Zanna
Comparison fields: 5 of 101
  • Global and Planetary Change 1.9k
  • Oceanography 1.7k
  • Atmospheric Science 1.6k
  • Statistical and Nonlinear Physics 185
  • Environmental Engineering 151
Replace Arthur J. Mariano with:
Arthur J. Mariano United States
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Laure Zanna relative to Arthur J. Mariano United States Arthur J. Mariano's profile →
Citations per field
00.5×5.5×
Arthur J. Mariano · 1×
Citations per year

Countries citing papers authored by Laure Zanna

Since Specialization
Citations

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

Fields of papers citing papers by Laure Zanna

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Laure Zanna

This figure shows the co-authorship network connecting the top 25 collaborators of Laure Zanna. A scholar is included among the top collaborators of Laure Zanna 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 Laure Zanna. Laure Zanna 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 0
2 4
3 0
4 7
5 1
6 6
7 5
8 19
9
Past and future ocean warmingbreakdown →
141
10 10
11 18
12 40
13
The causes of sea-level rise since 1900breakdown →
361
14 132
15
Applications of Deep Learning to Ocean Data Inference and Subgrid Parameterizationbreakdown →
233
16 7
17 18
18
Energizing Turbulence Closures in Ocean Models
3
19
Stochastic Parameterization of Ocean Mesoscale Eddies
1
20
Optimal excitation of Atlantic Ocean variability and implications for predictability
1

About Laure Zanna

Laure Zanna is a scholar working on Oceanography, Global and Planetary Change and Atmospheric Science, having authored 89 papers that have together received 2.8k indexed citations. Recurring topics across this work include Climate variability and models (73 papers), Oceanographic and Atmospheric Processes (65 papers) and Meteorological Phenomena and Simulations (34 papers). The work is most often cited by research in Oceanography (1.7k citations), Global and Planetary Change (1.9k citations) and Atmospheric Science (1.6k citations). Laure Zanna has collaborated with scholars based in United States, United Kingdom and Germany. Frequent co-authors include Thomas Bolton, Christopher O’Reilly, Tim Woollings, PierGianLuca Porta Mana, Eli Tziperman, Ben Bronselaer, Patrick Heimbach, Jonathan M. Gregory, Markus Huber and Samar Khatiwala. Their work appears in journals such as Nature, Proceedings of the National Academy of Sciences and Nature Communications.

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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