Philip Browne

866 citations
20 papers · 416 · h-index 12

Impact in

Papers in

Philip Browne

20 papers receiving 402 citations

Peers

Philip Browne
Comparison fields: 5 of 61
  • Atmospheric Science 296
  • Global and Planetary Change 215
  • Oceanography 81
  • Astronomy and Astrophysics 45
  • Computer Graphics and Computer-Aided Design 9
Replace A. Pier Siebesma with:
A. Pier Siebesma Germany
Patrick J. Fitzpatrick United States
Kyle G. Pressel United States
David L. Williamson United States
Mariano Hortal United Kingdom
Hyeong‐Bin Cheong South Korea
Yoshiyuki O. Takahashi Japan
Leo van de Berg Germany
Tamás Bódai United Kingdom
Paul Earnshaw United Kingdom
Philip Browne relative to A. Pier Siebesma Germany A. Pier Siebesma's profile →
Citations per field
00.5×4.5×
A. Pier Siebesma · 1×
Citations per year

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-authors

The 25 scholars most cited alongside Philip Browne, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Philip Browne Line = papers co-authored together Philip Browne links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 202076
2 201856
3 198751
4 201950
5 201731
6 201525
7 201220
8 201418
9 201518
10 201516
11 201615
12 201914
13 20168
14 20225
15
Numerical Methods for Two Parameter Eigenvalue Problems
20084
16 20252
17
Data Assimilation in the Solar Wind
20182
18 20242
19 20142
20
Train Positioning Using Video Odometry
20141

About Philip Browne

Philip Browne is a scholar working on Atmospheric Science, Global and Planetary Change, Computational Mechanics, Environmental Engineering and Oceanography, having authored 20 papers that have together received 416 indexed citations. Recurring topics across this work include Meteorological Phenomena and Simulations (14 papers), Climate variability and models (12 papers), Tropical and Extratropical Cyclones Research (5 papers), Computational Fluid Dynamics and Aerodynamics (3 papers), Wind and Air Flow Studies (2 papers), Fluid Dynamics and Turbulent Flows (2 papers), Oceanographic and Atmospheric Processes (2 papers) and Numerical methods in inverse problems (1 paper). The work is most often cited by research in Atmospheric Science (296 citations), Global and Planetary Change (215 citations), Oceanography (81 citations), Astronomy and Astrophysics (45 citations) and Computer Graphics and Computer-Aided Design (9 citations). Philip Browne has collaborated with scholars based in United Kingdom, France and Tunisia. Frequent co-authors include Richard Bradshaw, Peter Jan van Leeuwen, Patricia de Rosnay, Chris Budd, Matthew Lang, Andrew Dawson, Hao Zuo, Andrew F. Bennett, Simon Wilson and M. J. Owens. Their work appears in journals such as Quarterly Journal of the Royal Meteorological Society, Journal of Computational Physics, Tellus A Dynamic Meteorology and Oceanography, Remote Sensing and Space Weather.

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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