Ann Keen

4.0k total citations
24 papers, 1.2k citations indexed

About

Ann Keen is a scholar working on Atmospheric Science, Global and Planetary Change and Oceanography. According to data from OpenAlex, Ann Keen has authored 24 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 21 papers in Atmospheric Science, 18 papers in Global and Planetary Change and 3 papers in Oceanography. Recurrent topics in Ann Keen's work include Climate variability and models (18 papers), Arctic and Antarctic ice dynamics (18 papers) and Climate change and permafrost (10 papers). Ann Keen is often cited by papers focused on Climate variability and models (18 papers), Arctic and Antarctic ice dynamics (18 papers) and Climate change and permafrost (10 papers). Ann Keen collaborates with scholars based in United Kingdom, United States and Belgium. Ann Keen's co-authors include Helene T. Hewitt, Jonathan M. Gregory, Richard Wood, J. F. B. Mitchell, James M. Murphy, A. J. McLaren, Elizabeth Hunke, Chris Harris, Jeff Ridley and Richard Jones and has published in prestigious journals such as Nature, Journal of Geophysical Research Atmospheres and Journal of Power Sources.

In The Last Decade

Ann Keen

24 papers receiving 1.1k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Ann Keen United Kingdom 12 968 897 321 64 37 24 1.2k
Matthias Zahn Germany 17 1.0k 1.1× 1.0k 1.1× 225 0.7× 46 0.7× 69 1.9× 24 1.2k
Anne Pardaens United Kingdom 15 441 0.5× 599 0.7× 470 1.5× 30 0.5× 25 0.7× 19 852
Eveline C. van der Linden Netherlands 12 744 0.8× 702 0.8× 122 0.4× 37 0.6× 63 1.7× 25 969
Thomas J. Ballinger United States 15 736 0.8× 568 0.6× 102 0.3× 51 0.8× 29 0.8× 47 950
Sayaka Yasunaka Japan 16 603 0.6× 730 0.8× 701 2.2× 126 2.0× 25 0.7× 38 1.1k
Torben Koenigk Sweden 28 1.9k 2.0× 1.6k 1.8× 467 1.5× 130 2.0× 49 1.3× 68 2.2k
Jhan Srbinovsky Australia 8 569 0.6× 787 0.9× 231 0.7× 39 0.6× 71 1.9× 10 951
Roger Bodman Australia 7 453 0.5× 628 0.7× 195 0.6× 29 0.5× 53 1.4× 11 759
Xuezhi Bai United States 13 672 0.7× 453 0.5× 292 0.9× 129 2.0× 89 2.4× 26 966

Countries citing papers authored by Ann Keen

Since Specialization
Citations

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

Fields of papers citing papers by Ann Keen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ann Keen

This figure shows the co-authorship network connecting the top 25 collaborators of Ann Keen. A scholar is included among the top collaborators of Ann Keen 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 Ann Keen. Ann Keen 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.
Keen, Ann, Ed Blockley, David A. Bailey, et al.. (2021). An inter-comparison of the mass budget of the Arctic sea ice in CMIP6 models. ˜The œcryosphere. 15(2). 951–982. 58 indexed citations
2.
Ridley, Jeff, Ed Blockley, Ann Keen, et al.. (2018). The sea ice model component of HadGEM3-GC3.1. Geoscientific model development. 11(2). 713–723. 90 indexed citations
3.
Keen, Ann & Ed Blockley. (2018). Investigating future changes in the volume budget of the Arctic sea ice in a coupled climate model. ˜The œcryosphere. 12(9). 2855–2868. 8 indexed citations
4.
Mitra, Ashis K., et al.. (2018). Arctic summer sea-ice seasonal simulation with a coupled model: Evaluation of mean features and biases. Journal of Earth System Science. 128(1). 1 indexed citations
5.
Ridley, Jeff, Richard Wood, Ann Keen, Ed Blockley, & Jason Lowe. (2016). Brief Communication: Does it matter exactly when the Arctic will become ice-free?. 3 indexed citations
6.
Rae, Jamie, Helene T. Hewitt, Ann Keen, et al.. (2015). Development of the Global Sea Ice 6.0 CICE configuration for the Met Office Global Coupled model. Geoscientific model development. 8(7). 2221–2230. 77 indexed citations
7.
Rae, Jamie, Helene T. Hewitt, Ann Keen, et al.. (2015). Development of Global Sea Ice 6.0 CICE configuration for the Met Office Global Coupled Model. OSTI OAI (U.S. Department of Energy Office of Scientific and Technical Information). 10 indexed citations
8.
Hewitt, Helene T., Jeff Ridley, Ann Keen, et al.. (2015). A seamless approach to understanding and predicting Arctic sea ice in Met Office modelling systems. Philosophical Transactions of the Royal Society A Mathematical Physical and Engineering Sciences. 373(2045). 20140161–20140161. 2 indexed citations
9.
Rae, Jamie, Helene T. Hewitt, Ann Keen, et al.. (2014). A sensitivity study of the sea ice simulation in the global coupled climate model, HadGEM3. Ocean Modelling. 74. 60–76. 35 indexed citations
10.
Peterson, K. Andrew, Alberto Arribas, Helene T. Hewitt, et al.. (2014). Assessing the forecast skill of Arctic sea ice extent in the GloSea4 seasonal prediction system. Climate Dynamics. 44(1-2). 147–162. 45 indexed citations
11.
West, Alex, Ann Keen, & Helene T. Hewitt. (2013). Mechanisms causing reduced Arctic sea ice loss in a coupled climate model. ˜The œcryosphere. 7(2). 555–567. 3 indexed citations
12.
Giles, Katharine, Ann Keen, Helene T. Hewitt, et al.. (2013). Impacts of climate change on Arctic sea-ice. 1 indexed citations
13.
Hewitt, Helene T., Dan Copsey, I. D. Culverwell, et al.. (2011). Design and implementation of the infrastructure of HadGEM3: the next-generation Met Office climate modelling system. Geoscientific model development. 4(2). 223–253. 298 indexed citations
14.
Pope, V. D., Simon J. Brown, Robin Clark, et al.. (2007). The Met Office Hadley Centre climate modelling capability: the competing requirements for improved resolution, complexity and dealing with uncertainty. Philosophical Transactions of the Royal Society A Mathematical Physical and Engineering Sciences. 365(1860). 2635–2657. 23 indexed citations
15.
Connolley, W. M., Ann Keen, & A. J. McLaren. (2006). Results from the implementation of the Elastic Viscous Plastic sea ice rheology in HadCM3. Ocean science. 2(2). 201–211. 3 indexed citations
16.
McLaren, A. J., Helene T. Banks, Jonathan M. Gregory, et al.. (2006). Evaluation of the sea ice simulation in a new coupled atmosphere‐ocean climate model (HadGEM1). Journal of Geophysical Research Atmospheres. 111(C12). 64 indexed citations
17.
Keen, Ann. (2004). Regional issues in the global lead market. Journal of Power Sources. 133(1). 8–13. 6 indexed citations
18.
Yang, Harrison Hao, et al.. (2000). Minds On, Hands On: The Linear-Nonlinear Problem-Solving Approach to a Multimedia and Internet Course. Society for Information Technology & Teacher Education International Conference. 2000(1). 738–743. 4 indexed citations
19.
20.
Keen, Ann & James M. Murphy. (1997). Influence of natural variability and the cold start problem on the simulated transient response to increasing CO 2. Climate Dynamics. 13(12). 847–864. 22 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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