Paul Earnshaw

3.5k total citations
20 papers, 714 citations indexed

About

Paul Earnshaw is a scholar working on Atmospheric Science, Global and Planetary Change and Molecular Biology. According to data from OpenAlex, Paul Earnshaw has authored 20 papers receiving a total of 714 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Atmospheric Science, 12 papers in Global and Planetary Change and 4 papers in Molecular Biology. Recurrent topics in Paul Earnshaw's work include Climate variability and models (12 papers), Meteorological Phenomena and Simulations (10 papers) and Tropical and Extratropical Cyclones Research (5 papers). Paul Earnshaw is often cited by papers focused on Climate variability and models (12 papers), Meteorological Phenomena and Simulations (10 papers) and Tropical and Extratropical Cyclones Research (5 papers). Paul Earnshaw collaborates with scholars based in United Kingdom, United States and Germany. Paul Earnshaw's co-authors include Keke Zhang, Xinhao Liao, F. H. Busse, Sean Milton, Adrian Lock, James Manners, Linus Magnusson, Ian Boutle, Péter Bauer and Carla Cardinali and has published in prestigious journals such as Journal of Geophysical Research Atmospheres, Journal of Fluid Mechanics and Journal of Climate.

In The Last Decade

Paul Earnshaw

20 papers receiving 703 citations

Peers

Paul Earnshaw

GPC

OCEAN

Y. H. Yamazaki United Kingdom

Nivaor Rodolfo Rigozo Brazil

Edilbert Kirk Germany

Kristina Fröhlich Germany

F. J. Mulligan Ireland

R. Rizzi Italy

T. Svenøe Norway

Anirban Guha India

W. A. Norton United Kingdom

Ana G. Elı́as Argentina

Y. H. Yamazaki United Kingdom

Paul Earnshaw

473 ×0.9

388 ×0.8

GPC

154 ×1.1

OCEAN

169 ×1.3

284 ×2.3

Citations per year, relative to Paul Earnshaw Paul Earnshaw (= 1×) peers Y. H. Yamazaki

Countries citing papers authored by Paul Earnshaw

Since Specialization

Citations

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

Fields of papers citing papers by Paul Earnshaw

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Paul Earnshaw

This figure shows the co-authorship network connecting the top 25 collaborators of Paul Earnshaw. A scholar is included among the top collaborators of Paul Earnshaw 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 Paul Earnshaw. Paul Earnshaw is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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20 of 20 papers shown

Tomassini, Lorenzo, Martin Willett, Alistair Sellar, et al.. (2023). Confronting the Convective Gray Zone in the Global Configuration of the Met Office Unified Model. Journal of Advances in Modeling Earth Systems. 15(5). 12 indexed citations

Maher, Penelope & Paul Earnshaw. (2022). The Flexible Modelling Framework for the Met Office Unified Model (Flex-UM, using UM 12.0 release). Geoscientific model development. 15(3). 1177–1194. 3 indexed citations

Magnusson, Linus, Duncan Ackerley, James A. Doyle, et al.. (2022). Skill of Medium-Range Forecast Models Using the Same Initial Conditions. Bulletin of the American Meteorological Society. 103(9). E2050–E2068. 13 indexed citations

Righi, Mattia, Bouwe Andela, Veronika Eyring, et al.. (2020). Earth System Model Evaluation Tool (ESMValTool) v2.0 – technical overview. Geoscientific model development. 13(3). 1179–1199. 67 indexed citations

Righi, Mattia, Bouwe Andela, Veronika Eyring, et al.. (2019). ESMValTool v2.0 – Technical overview. 2 indexed citations

Atkinson, Cathy & Paul Earnshaw. (2019). Motivational Cognitive Behavioural Therapy. 1 indexed citations

Boutle, Ian, Nathan J. Mayne, Benjamin Drummond, et al.. (2018). Exploring the climate of Proxima B with the Met Office Unified Model (. Springer Link (Chiba Institute of Technology). 28 indexed citations

Oh, Jiyoung, Seok‐Woo Son, K. D. Williams, et al.. (2018). Ozone sensitivity of tropical upper‐troposphere and stratosphere temperature in the MetOffice Unified Model. Quarterly Journal of the Royal Meteorological Society. 144(715). 2001–2009. 9 indexed citations

Stratton, R. A., C. A. Senior, Simon Vosper, et al.. (2018). A Pan-African Convection-Permitting Regional Climate Simulation with the Met Office Unified Model: CP4-Africa. Journal of Climate. 31(9). 3485–3508. 114 indexed citations

10.

Bornemann, Jorge, et al.. (2014). ENDGame: The next Met Office atmospheric dynamical core. EGUGA. 5732. 1 indexed citations

11.

Rodwell, M. J., Linus Magnusson, Péter Bauer, et al.. (2013). Characteristics of Occasional Poor Medium-Range Weather Forecasts for Europe. Bulletin of the American Meteorological Society. 94(9). 1393–1405. 153 indexed citations

12.

Birch, Cathryn E., Ian M. Brooks, Michael Tjernström, et al.. (2012). Modelling atmospheric structure, cloud and their response to CCN in the central Arctic: ASCOS case studies. Atmospheric chemistry and physics. 12(7). 3419–3435. 43 indexed citations

13.

Wyant, M. C., Robert Wood, Christopher S. Bretherton, et al.. (2010). The PreVOCA experiment: modeling the lower troposphere in the Southeast Pacific. Atmospheric chemistry and physics. 10(10). 4757–4774. 88 indexed citations

14.

Williamson, David, et al.. (2009). Transpose AMIP: a process oriented climate model evaluation and intercomparison using model weather forecasts and field campaign observations. EGUGA. 2614. 1 indexed citations

15.

Birch, Cathryn E., Ian M. Brooks, Michael Tjernström, et al.. (2009). The performance of a global and mesoscale model over the central Arctic Ocean during late summer. Journal of Geophysical Research Atmospheres. 114(D13). 22 indexed citations

16.

Milton, Sean & Paul Earnshaw. (2007). Evaluation of Surface Water and Energy Cycles in the Met Office Global NWP Model Using CEOP Data. Journal of the Meteorological Society of Japan Ser II. 85A. 43–72. 15 indexed citations

17.

Zhang, Keke, Xinhao Liao, & Paul Earnshaw. (2004). On inertial waves and oscillations in a rapidly rotating spheroid. Journal of Fluid Mechanics. 504. 1–40. 48 indexed citations

18.

Zhang, Keke, Xinhao Liao, & Paul Earnshaw. (2004). The Poincaré equation: A new polynomial and its unusual properties. Journal of Mathematical Physics. 45(12). 4777–4790. 7 indexed citations

19.

Zhang, Keke, Paul Earnshaw, Xinhao Liao, & F. H. Busse. (2001). On inertial waves in a rotating fluid sphere. Journal of Fluid Mechanics. 437. 103–119. 81 indexed citations

20.

Liao, Xinhao, Keke Zhang, & Paul Earnshaw. (2001). On the viscous damping of inertial oscillation in planetary fluid interiors. Physics of The Earth and Planetary Interiors. 128(1-4). 125–136. 6 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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