Gaël Forget

5.8k citations
62 papers · 2.1k indexed · 1 hit paper · h-index 25
Topics
Oceanographic and Atmospheric Processes (46 papers)Climate variability and models (38 papers)Marine and coastal ecosystems (23 papers)

In The Last Decade

Gaël Forget

58 papers receiving 2.1k citations

Hit Papers

ECCO version 4: an integrated framework for non-linear in...20152026201820222015100200300400500

Peers

Gaël Forget
Comparison fields: 5 of 73
  • Oceanography 1.7k
  • Global and Planetary Change 1.4k
  • Atmospheric Science 1.1k
  • Environmental Chemistry 145
  • Ecology 86
Replace Shenfu Dong with:
Shenfu Dong United States
Toru Miyama Japan
Toshio Suga Japan
Eleanor Frajka‐Williams United Kingdom
Gilles Garric France
Nikolay Koldunov Germany
Jan D. Zika Australia
Dongxiao Wang China
Dexing Wu China
Chung‐Ru Ho Taiwan
Gaël Forget relative to Shenfu Dong United States Shenfu Dong's profile →
Citations per field
00.5×1.5×2.0×
Shenfu Dong · 1×
Citations per year

Countries citing papers authored by Gaël Forget

Since Specialization
Citations

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

Fields of papers citing papers by Gaël Forget

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Gaël Forget

This figure shows the co-authorship network connecting the top 25 collaborators of Gaël Forget. A scholar is included among the top collaborators of Gaël Forget 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 Gaël Forget. Gaël Forget 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 0
3 0
4 1
5 5
6 6
7 2
8 19
9 7
10 35
11 4
12 16
13 3
14 13
15 48
16 6
17 38
18 62
19 22
20 52

About Gaël Forget

Gaël Forget is a scholar working on Oceanography, Global and Planetary Change and Atmospheric Science, having authored 62 papers that have together received 2.1k indexed citations. Recurring topics across this work include Oceanographic and Atmospheric Processes (46 papers), Climate variability and models (38 papers) and Marine and coastal ecosystems (23 papers). The work is most often cited by research in Oceanography (1.7k citations), Global and Planetary Change (1.4k citations) and Atmospheric Science (1.1k citations). Gaël Forget has collaborated with scholars based in United States, United Kingdom and France. Frequent co-authors include Rui M. Ponte, Patrick Heimbach, Carl Wunsch, Chris Hill, Jean‐Michel Campin, Martha W. Buckley, David Ferreira, Xinfeng Liang, John Marshall and Ichiro Fukumori. Their work appears in journals such as Proceedings of the National Academy of Sciences, Journal of Climate and Geophysical Research Letters.

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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