Philip Browne

866 total citations
20 papers, 416 citations indexed

About

Philip Browne is a scholar working on Atmospheric Science, Global and Planetary Change and Computational Mechanics. According to data from OpenAlex, Philip Browne has authored 20 papers receiving a total of 416 indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Atmospheric Science, 12 papers in Global and Planetary Change and 3 papers in Computational Mechanics. Recurrent topics in Philip Browne's work include Meteorological Phenomena and Simulations (14 papers), Climate variability and models (12 papers) and Tropical and Extratropical Cyclones Research (5 papers). Philip Browne is often cited by papers focused on Meteorological Phenomena and Simulations (14 papers), Climate variability and models (12 papers) and Tropical and Extratropical Cyclones Research (5 papers). Philip Browne collaborates with scholars based in United Kingdom, France and Tunisia. Philip Browne's co-authors include Richard Bradshaw, Peter Jan van Leeuwen, Chris Budd, Patricia de Rosnay, Matthew Lang, Andrew F. Bennett, Andrew Dawson, Hao Zuo, M. J. Owens and Frédéric Vitart and has published in prestigious journals such as Journal of Computational Physics, Bulletin of the American Meteorological Society and International Journal for Numerical Methods in Engineering.

In The Last Decade

Philip Browne

20 papers receiving 402 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Philip Browne United Kingdom 12 296 215 81 45 38 20 416
Andrew Dawson United Kingdom 10 379 1.3× 379 1.8× 130 1.6× 17 0.4× 12 0.3× 17 502
Patrick J. Fitzpatrick United States 14 334 1.1× 273 1.3× 181 2.2× 59 1.3× 11 0.3× 34 551
Martin Fengler Germany 9 100 0.3× 93 0.4× 162 2.0× 42 0.9× 28 0.7× 14 342
Gordon Inverarity United Kingdom 10 471 1.6× 432 2.0× 92 1.1× 65 1.4× 12 0.3× 16 577
М. В. Калашник Russia 9 140 0.5× 102 0.5× 108 1.3× 36 0.8× 102 2.7× 77 330
Hesam Salehipour Canada 11 286 1.0× 175 0.8× 322 4.0× 23 0.5× 142 3.7× 15 459
Kyle G. Pressel United States 11 525 1.8× 533 2.5× 55 0.7× 20 0.4× 63 1.7× 25 681
Shinya Shimokawa Japan 8 91 0.3× 91 0.4× 74 0.9× 20 0.4× 18 0.5× 52 243
A. S. Milman United States 9 219 0.7× 104 0.5× 77 1.0× 29 0.6× 9 0.2× 22 335

Countries citing papers authored by Philip Browne

Since Specialization
Citations

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

Fields of papers citing papers by Philip Browne

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Philip Browne

This figure shows the co-authorship network connecting the top 25 collaborators of Philip Browne. A scholar is included among the top collaborators of Philip Browne 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 Philip Browne. Philip Browne 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.
Magnusson, Linus, Sharanya J. Majumdar, Mohamed Dahoui, et al.. (2025). The role of observations in ECMWF tropical cyclone initialisation and forecasting. Quarterly Journal of the Royal Meteorological Society. 151(768). 2 indexed citations
2.
Weaver, Anthony, et al.. (2024). Impact of ensemble‐based hybrid background‐error covariances in ECMWF's next‐generation ocean reanalysis system. Quarterly Journal of the Royal Meteorological Society. 151(767). 2 indexed citations
3.
Weller, Hilary, et al.. (2022). Conservation with moving meshes over orography. Journal of Computational Physics. 461. 111217–111217. 5 indexed citations
4.
Wedi, Nils, Inna Polichtchouk, Peter Dueben, et al.. (2020). A Baseline for Global Weather and Climate Simulations at 1 km Resolution. Journal of Advances in Modeling Earth Systems. 12(11). 76 indexed citations
5.
Fairbairn, David, Patricia de Rosnay, & Philip Browne. (2019). The New Stand-Alone Surface Analysis at ECMWF: Implications for Land–Atmosphere DA Coupling. Journal of Hydrometeorology. 20(10). 2023–2042. 14 indexed citations
6.
Browne, Philip, Patricia de Rosnay, Hao Zuo, Andrew F. Bennett, & Andrew Dawson. (2019). Weakly Coupled Ocean–Atmosphere Data Assimilation in the ECMWF NWP System. Remote Sensing. 11(3). 234–234. 50 indexed citations
7.
Lang, Matthew, M. J. Owens, Philip Browne, & Peter Jan van Leeuwen. (2018). Data Assimilation in the Solar Wind. AGU Fall Meeting Abstracts. 2018. 2 indexed citations
8.
Magnusson, Linus, Jean‐Raymond Bidlot, Massimo Bonavita, et al.. (2018). ECMWF Activities for Improved Hurricane Forecasts. Bulletin of the American Meteorological Society. 100(3). 445–458. 56 indexed citations
9.
Lang, Matthew, Philip Browne, Peter Jan van Leeuwen, & M. J. Owens. (2017). Data Assimilation in the Solar Wind: Challenges and First Results. Space Weather. 15(11). 1490–1510. 31 indexed citations
10.
Browne, Philip. (2016). A comparison of the equivalent weights particle filter and the local ensemble transform Kalman filter in application to the barotropic vorticity equation. Tellus A Dynamic Meteorology and Oceanography. 68(1). 30466–30466. 8 indexed citations
11.
Lang, Matthew, Peter Jan van Leeuwen, & Philip Browne. (2016). A systematic method of parameterisation estimation using data assimilation. Tellus A Dynamic Meteorology and Oceanography. 68(1). 29012–29012. 15 indexed citations
12.
Browne, Philip & Peter Jan van Leeuwen. (2015). Twin experiments with the equivalent weights particle filter and HadCM3. Quarterly Journal of the Royal Meteorological Society. 141(693). 3399–3414. 18 indexed citations
13.
Browne, Philip & Simon Wilson. (2015). A simple method for integrating a complex model into an ensemble data assimilation system using MPI. Environmental Modelling & Software. 68. 122–128. 16 indexed citations
14.
Weller, Hilary, Philip Browne, Chris Budd, & Mike Cullen. (2015). Mesh adaptation on the sphere using optimal transport and the numerical solution of a Monge–Ampère type equation. Journal of Computational Physics. 308. 102–123. 25 indexed citations
15.
Browne, Philip, Cristina Charlton‐Perez, & Sarah L. Dance. (2014). RMetS Special Interest Group Meeting: high resolution data assimilation. Atmospheric Science Letters. 15(4). 354–357. 2 indexed citations
16.
Browne, Philip, Chris Budd, C. Piccolo, & Michael J. Cullen. (2014). Fast three dimensional r-adaptive mesh redistribution. Journal of Computational Physics. 275. 174–196. 18 indexed citations
17.
Whittaker, Robert J., et al.. (2014). Train Positioning Using Video Odometry. 1 indexed citations
18.
Browne, Philip, Chris Budd, Nicholas I. M. Gould, Hyunsun A. Kim, & J. A. Scott. (2012). A fast method for binary programming using first‐order derivatives, with application to topology optimization with buckling constraints. International Journal for Numerical Methods in Engineering. 92(12). 1026–1043. 20 indexed citations
19.
Browne, Philip. (2008). Numerical Methods for Two Parameter Eigenvalue Problems. 4 indexed citations
20.
Bradshaw, Richard & Philip Browne. (1987). Changing Patterns in the Post-Glacial Distribution of Pinus sylvestris in Ireland. Journal of Biogeography. 14(3). 237–237. 51 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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