Mike Cullen

2.8k total citations · 1 hit paper
59 papers, 1.8k citations indexed

About

Mike Cullen is a scholar working on Atmospheric Science, Global and Planetary Change and Computational Mechanics. According to data from OpenAlex, Mike Cullen has authored 59 papers receiving a total of 1.8k indexed citations (citations by other indexed papers that have themselves been cited), including 39 papers in Atmospheric Science, 33 papers in Global and Planetary Change and 13 papers in Computational Mechanics. Recurrent topics in Mike Cullen's work include Meteorological Phenomena and Simulations (38 papers), Climate variability and models (32 papers) and Tropical and Extratropical Cyclones Research (11 papers). Mike Cullen is often cited by papers focused on Meteorological Phenomena and Simulations (38 papers), Climate variability and models (32 papers) and Tropical and Extratropical Cyclones Research (11 papers). Mike Cullen collaborates with scholars based in United Kingdom, United States and Germany. Mike Cullen's co-authors include Terry Davies, Andrew J. Malcolm, A. A. White, N. Wood, Andrew Staniforth, Robert James Purser, J. F. B. Mitchell, Ann Shelly, Sean Milton and Brian Golding and has published in prestigious journals such as Journal of Fluid Mechanics, Journal of Computational Physics and Journal of the Atmospheric Sciences.

In The Last Decade

Mike Cullen

55 papers receiving 1.7k citations

Hit Papers

A new dynamical core for the Met Office's global and regi... 2005 2026 2012 2019 2005 250 500 750

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Mike Cullen United Kingdom 16 1.4k 1.2k 264 194 181 59 1.8k
Pavel Berloff United Kingdom 28 1.2k 0.9× 1.3k 1.1× 1.6k 6.2× 224 1.2× 75 0.4× 84 2.0k
David W. Reynolds United States 26 1.3k 1.0× 1.4k 1.1× 73 0.3× 13 0.1× 151 0.8× 83 2.0k
G. J. Haltiner United States 10 694 0.5× 541 0.4× 307 1.2× 147 0.8× 152 0.8× 24 1.1k
Olivier Pauluis United States 28 1.7k 1.2× 1.6k 1.4× 491 1.9× 206 1.1× 157 0.9× 81 2.2k
Jon Reisner United States 20 1.5k 1.1× 1.6k 1.3× 112 0.4× 325 1.7× 219 1.2× 64 2.2k
Andrew C. Poje United States 25 674 0.5× 475 0.4× 1.2k 4.5× 306 1.6× 71 0.4× 62 1.9k
N. Wood United Kingdom 16 989 0.7× 822 0.7× 202 0.8× 234 1.2× 194 1.1× 29 1.4k
A. B. Kostinski United States 31 1.4k 1.0× 1.3k 1.1× 83 0.3× 129 0.7× 377 2.1× 91 2.3k
G. J. Shutts United Kingdom 29 3.3k 2.4× 2.8k 2.3× 958 3.6× 241 1.2× 336 1.9× 73 3.9k
Maarten H. P. Ambaum United Kingdom 22 1.6k 1.1× 1.6k 1.3× 644 2.4× 101 0.5× 64 0.4× 64 2.1k

Countries citing papers authored by Mike Cullen

Since Specialization
Citations

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

Fields of papers citing papers by Mike Cullen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Mike Cullen

This figure shows the co-authorship network connecting the top 25 collaborators of Mike Cullen. A scholar is included among the top collaborators of Mike Cullen 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 Mike Cullen. Mike Cullen 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.
Beare, Robert J. & Mike Cullen. (2023). A balanced model of a hurricane vortex coupled to a boundary layer. Quarterly Journal of the Royal Meteorological Society. 149(757). 3290–3300.
2.
Methven, John, et al.. (2023). Examining the dynamics of a Borneo vortex using a balance approximation tool. Weather and Climate Dynamics. 4(4). 1019–1043. 4 indexed citations
3.
Cotter, Colin J., et al.. (2022). A new implementation of the geometric method for solving the Eady slice equations. Journal of Computational Physics. 469. 111542–111542. 2 indexed citations
4.
Sánchez, Claudio, John Methven, Suzanne L. Gray, & Mike Cullen. (2020). Linking rapid forecast error growth to diabatic processes. Quarterly Journal of the Royal Meteorological Society. 146(732). 3548–3569. 21 indexed citations
5.
Piccolo, C., et al.. (2018). Comparison of different representations of model error in ensemble forecasts. Quarterly Journal of the Royal Meteorological Society. 145(718). 15–27. 14 indexed citations
6.
Cullen, Mike. (2018). The Use of Semigeostrophic Theory to Diagnose the Behaviour of an Atmospheric GCM. Fluids. 3(4). 72–72. 6 indexed citations
7.
Cheng, Bin, Mike Cullen, J. G. Esler, et al.. (2017). A model for moist convection in an ascending atmospheric column. Quarterly Journal of the Royal Meteorological Society. 143(708). 2925–2939. 1 indexed citations
8.
Piccolo, C. & Mike Cullen. (2015). Ensemble Data Assimilation Using a Unified Representation of Model Error. Monthly Weather Review. 144(1). 213–224. 14 indexed citations
9.
Cullen, Mike, et al.. (2014). Modelling static 3-D spatial background error covariances – the effect of vertical and horizontal transform order. Advances in science and research. 11(1). 63–67. 15 indexed citations
10.
Piccolo, C. & Mike Cullen. (2012). A new implementation of the adaptive mesh transform in the Met Office 3D‐Var System. Quarterly Journal of the Royal Meteorological Society. 138(667). 1560–1570. 15 indexed citations
11.
Brown, A. R., Sean Milton, Mike Cullen, et al.. (2012). Unified Modeling and Prediction of Weather and Climate: A 25-Year Journey. Bulletin of the American Meteorological Society. 93(12). 1865–1877. 212 indexed citations
12.
Katz, D., Amos S. Lawless, Nancy Nichols, Mike Cullen, & Ross Bannister. (2011). Correlations of control variables in variational data assimilation. Quarterly Journal of the Royal Meteorological Society. 137(656). 620–630. 12 indexed citations
13.
Piccolo, C. & Mike Cullen. (2011). Adaptive mesh method in the Met Office variational data assimilation system. Quarterly Journal of the Royal Meteorological Society. 137(656). 631–640. 14 indexed citations
14.
Brenier, Yann & Mike Cullen. (2009). Rigorous derivation of the X-Z semigeostrophic equations. Communications in Mathematical Sciences. 7(3). 779–784. 6 indexed citations
15.
Cullen, Mike, et al.. (2003). The Fully Compressible Semi-Geostrophic System from Meteorology. Archive for Rational Mechanics and Analysis. 167(4). 309–336. 19 indexed citations
16.
Cullen, Mike & Deborah Salmond. (2003). On the use of a predictor–corrector scheme to couple the dynamics with the physical parametrizations in the ECMWF model. Quarterly Journal of the Royal Meteorological Society. 129(589). 1217–1236. 16 indexed citations
17.
Cullen, Mike & Wilfrid Gangbo. (2001). A Variational Approach for the 2-Dimensional Semi-Geostrophic Shallow Water Equations. Archive for Rational Mechanics and Analysis. 156(3). 241–273. 38 indexed citations
18.
Cullen, Mike, et al.. (1987). Esso Energy Award Lecture, 1986 Advances in numerical weather prediction for aviation forecasting. Proceedings of the Royal Society of London A Mathematical and Physical Sciences. 410(1839). 255–268. 2 indexed citations
19.
Norbury, John & Mike Cullen. (1985). A note on the properties of the primitive hydrostatic equations of motion. Quarterly Journal of the Royal Meteorological Society. 111(470). 1135–1137. 2 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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