Emily Shuckburgh

4.0k citations
59 papers · 2.5k indexed · 1 hit paper · h-index 26
Topics
Climate variability and models (31 papers)Oceanographic and Atmospheric Processes (20 papers)Atmospheric Ozone and Climate (11 papers)
Journals
ScienceNature CommunicationsSHILAP Revista de lepidopterología

In The Last Decade

Emily Shuckburgh

58 papers receiving 2.4k citations

Hit Papers

Seasonal Arctic sea ice forecasting with probabilistic de...2021202620222024202150100150

Peers

Emily Shuckburgh
Comparison fields: 5 of 96
  • Global and Planetary Change 1.8k
  • Atmospheric Science 1.7k
  • Oceanography 1.1k
  • Environmental Chemistry 123
  • Astronomy and Astrophysics 121
Replace William J. Merryfield with:
William J. Merryfield Canada
Jin‐Song von Storch Germany
John M. Lyman United States
Igor Kamenkovich United States
K. Shafer Smith United States
Claudia Pasquero Italy
Josef M. Oberhuber Germany
Malte F. Jansen United States
Julien Le Sommer France
Valentin Dymnikov Russia
Emily Shuckburgh relative to William J. Merryfield Canada William J. Merryfield's profile →
Citations per field
00.5×1.5×
William J. Merryfield · 1×
Citations per year

Countries citing papers authored by Emily Shuckburgh

Since Specialization
Citations

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

Fields of papers citing papers by Emily Shuckburgh

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Emily Shuckburgh

This figure shows the co-authorship network connecting the top 25 collaborators of Emily Shuckburgh. A scholar is included among the top collaborators of Emily Shuckburgh 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 Emily Shuckburgh. Emily Shuckburgh 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 1
4 1
5 17
6 0
7 2
8
Seasonal Arctic sea ice forecasting with probabilistic deep learningbreakdown →
158
9 12
10 4
11 38
12 6
13 22
14 1
15 4
16 12
17 4
18 96
19 2
20 196

About Emily Shuckburgh

Emily Shuckburgh is a scholar working on Atmospheric Science, Global and Planetary Change and Oceanography, having authored 59 papers that have together received 2.5k indexed citations. Recurring topics across this work include Climate variability and models (31 papers), Oceanographic and Atmospheric Processes (20 papers) and Atmospheric Ozone and Climate (11 papers). The work is most often cited by research in Atmospheric Science (1.7k citations), Oceanography (1.1k citations) and Global and Planetary Change (1.8k citations). Emily Shuckburgh has collaborated with scholars based in United Kingdom, United States and France. Frequent co-authors include Peter Haynes, Andrew Meijers, Thomas J. Bracegirdle, John Marshall, Jean‐Baptiste Sallée, Nicolas Bruneau, Chris Hill, Helen Jones, Z. Wang and W. A. Norton. Their work appears in journals such as Science, Nature Communications and SHILAP Revista de lepidopterología.

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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