Sean Milton

7.3k total citations
59 papers, 1.9k citations indexed

About

Sean Milton is a scholar working on Atmospheric Science, Global and Planetary Change and Oceanography. According to data from OpenAlex, Sean Milton has authored 59 papers receiving a total of 1.9k indexed citations (citations by other indexed papers that have themselves been cited), including 57 papers in Atmospheric Science, 56 papers in Global and Planetary Change and 9 papers in Oceanography. Recurrent topics in Sean Milton's work include Climate variability and models (44 papers), Meteorological Phenomena and Simulations (35 papers) and Atmospheric aerosols and clouds (20 papers). Sean Milton is often cited by papers focused on Climate variability and models (44 papers), Meteorological Phenomena and Simulations (35 papers) and Atmospheric aerosols and clouds (20 papers). Sean Milton collaborates with scholars based in United Kingdom, United States and India. Sean Milton's co-authors include M. E. Brooks, Richard P. Allan, Jim Haywood, A. R. Brown, C. A. Wilson, John Edwards, Ann Shelly, David Walters, Mike Cullen and J. F. B. Mitchell and has published in prestigious journals such as Journal of Geophysical Research Atmospheres, Journal of Climate and Geophysical Research Letters.

In The Last Decade

Sean Milton

58 papers receiving 1.8k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Sean Milton United Kingdom 24 1.7k 1.7k 202 159 114 59 1.9k
Dominique Bouniol France 24 1.5k 0.9× 1.5k 0.9× 95 0.5× 119 0.7× 86 0.8× 53 1.6k
G. G. Carrió United States 14 1.4k 0.8× 1.5k 0.9× 87 0.4× 150 0.9× 196 1.7× 26 1.6k
Baike Xi United States 29 2.5k 1.5× 2.5k 1.5× 73 0.4× 174 1.1× 99 0.9× 115 2.8k
R. N. B. Smith United Kingdom 11 1.8k 1.1× 1.8k 1.0× 232 1.1× 55 0.3× 206 1.8× 13 2.0k
Emmanouil Flaounas Greece 24 1.2k 0.7× 1.2k 0.7× 214 1.1× 62 0.4× 52 0.5× 51 1.4k
Sun Wong United States 23 1.1k 0.7× 1.1k 0.7× 147 0.7× 56 0.4× 47 0.4× 51 1.3k
Zhe Feng United States 30 2.9k 1.7× 2.8k 1.7× 222 1.1× 89 0.6× 180 1.6× 129 3.2k
Romain Roehrig France 24 1.7k 1.0× 1.6k 0.9× 347 1.7× 54 0.3× 85 0.7× 66 1.9k
Qingyun Zhao United States 14 1.1k 0.6× 1.2k 0.7× 119 0.6× 64 0.4× 133 1.2× 31 1.3k
Suzanne L. Gray United Kingdom 35 2.6k 1.5× 2.8k 1.6× 405 2.0× 53 0.3× 243 2.1× 122 3.0k

Countries citing papers authored by Sean Milton

Since Specialization
Citations

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

Fields of papers citing papers by Sean Milton

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Sean Milton

This figure shows the co-authorship network connecting the top 25 collaborators of Sean Milton. A scholar is included among the top collaborators of Sean Milton 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 Sean Milton. Sean Milton 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
2.
Rostron, John W., David M. H. Sexton, Kalli Furtado, et al.. (2022). Evaluation and projections of the East Asian summer monsoon in a perturbed parameter ensemble. Climate Dynamics. 60(11-12). 3901–3926. 2 indexed citations
3.
Mitra, Ashis K., Sean Milton, Gill Martin, et al.. (2021). Skill of the extended range prediction (NERP) for Indian summer monsoon rainfall with NCMRWF global coupled modelling system. Quarterly Journal of the Royal Meteorological Society. 148(742). 480–498. 5 indexed citations
4.
Marzin, Charline, Sean Milton, Kyung‐On Boo, et al.. (2020). Representation of the 2016 Korean Heatwave in the Unified Model Global NWP Forecasts: The Impact of Remotely Forced Model Errors and Atmosphere-Ocean Coupling. Atmosphere. 11(12). 1275–1275. 1 indexed citations
6.
Rodríguez, José M., Sean Milton, & Charline Marzin. (2017). The East Asian Atmospheric Water Cycle and Monsoon Circulation in the Met Office Unified Model. Journal of Geophysical Research Atmospheres. 122(19). 21 indexed citations
7.
Tomassini, Lorenzo, Douglas J. Parker, Alison Stirling, et al.. (2017). The interaction between moist diabatic processes and the atmospheric circulation in African Easterly Wave propagation. Quarterly Journal of the Royal Meteorological Society. 143(709). 3207–3227. 27 indexed citations
8.
Mulcahy, Jane P., David Walters, Nicolas Bellouin, & Sean Milton. (2014). Impacts of increasing the aerosol complexity in the Met Office global numerical weather prediction model. Atmospheric chemistry and physics. 14(9). 4749–4778. 66 indexed citations
9.
Mulcahy, Jane P., David Walters, Nicolas Bellouin, & Sean Milton. (2013). Impacts of increasing the aerosol complexity in the Met Office global NWP model. 2 indexed citations
10.
Milton, Sean, et al.. (2012). Experimental Determination of Forecast Sensitivity and the Degradation of Forecasts through the Assimilation of Good Quality Data. Monthly Weather Review. 140(7). 2253–2269. 3 indexed citations
11.
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
12.
Haywood, Jim, Ben Johnson, S. Osborne, et al.. (2011). Motivation, rationale and key results from the GERBILS Saharan dust measurement campaign. Quarterly Journal of the Royal Meteorological Society. 137(658). 1106–1116. 39 indexed citations
13.
Mulcahy, Jane P., M. E. Brooks, & Sean Milton. (2010). Aerosol impacts in the Met Office global NWP model. EGUGA. 9138. 1 indexed citations
14.
Martin, Gill, Sean Milton, C. A. Senior, et al.. (2010). Analysis and Reduction of Systematic Errors through a Seamless Approach to Modeling Weather and Climate. Journal of Climate. 23(22). 5933–5957. 142 indexed citations
15.
Ackerley, Duncan, E. J. Highwood, Mark A. Harrison, et al.. (2009). The development of a new dust uplift scheme in the Met Office Unified Model™. Meteorological Applications. 16(4). 445–460. 5 indexed citations
16.
Haywood, Jim, Richard P. Allan, Jorge Bornemann, et al.. (2009). A case study of the radiative forcing of persistent contrails evolving into contrail‐induced cirrus. Journal of Geophysical Research Atmospheres. 114(D24). 71 indexed citations
17.
Willett, M. R., Peter Bechtold, David Williamson, et al.. (2008). Modelling suppressed and active convection: Comparisons between three global atmospheric models. Quarterly Journal of the Royal Meteorological Society. 134(636). 1881–1896. 18 indexed citations
18.
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
19.
Allan, Richard P., A. Slingo, Sean Milton, & M. E. Brooks. (2007). Evaluation of the Met Office global forecast model using Geostationary Earth Radiation Budget (GERB) data. Quarterly Journal of the Royal Meteorological Society. 133(629). 1993–2010. 39 indexed citations
20.
Allan, Richard P., A. Slingo, Sean Milton, & I. D. Culverwell. (2004). SINERGEE: simulation and exploitation of data from Meteosat-8 using an NWP model.. 80(8-9). 824–32. 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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