Ken Mylne

2.2k total citations
27 papers, 913 citations indexed

About

Ken Mylne is a scholar working on Atmospheric Science, Global and Planetary Change and Environmental Engineering. According to data from OpenAlex, Ken Mylne has authored 27 papers receiving a total of 913 indexed citations (citations by other indexed papers that have themselves been cited), including 23 papers in Atmospheric Science, 22 papers in Global and Planetary Change and 6 papers in Environmental Engineering. Recurrent topics in Ken Mylne's work include Meteorological Phenomena and Simulations (21 papers), Climate variability and models (15 papers) and Tropical and Extratropical Cyclones Research (8 papers). Ken Mylne is often cited by papers focused on Meteorological Phenomena and Simulations (21 papers), Climate variability and models (15 papers) and Tropical and Extratropical Cyclones Research (8 papers). Ken Mylne collaborates with scholars based in United Kingdom, Netherlands and Israel. Ken Mylne's co-authors include P. J. Mason, Jonathan Flowerdew, Mark Harrison, Kevin Horsburgh, K. B. Robertson, Tim Legg, Chris Wilson, Richard Graham, Alberto Arribas and Robert A. Neal and has published in prestigious journals such as Monthly Weather Review, Bulletin of the American Meteorological Society and Climatic Change.

In The Last Decade

Ken Mylne

26 papers receiving 867 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Ken Mylne 563 557 187 147 89 27 913
Kenneth R. Mylne 892 1.6× 891 1.6× 196 1.0× 87 0.6× 75 0.8× 19 1.2k
Chandler Ahrens 390 0.7× 420 0.8× 189 1.0× 66 0.4× 60 0.7× 10 932
Michel Desgagné 645 1.1× 552 1.0× 120 0.6× 71 0.5× 86 1.0× 15 851
Daniel Weber 1.1k 2.0× 968 1.7× 260 1.4× 89 0.6× 19 0.2× 28 1.4k
Ziniu Xiao 795 1.4× 819 1.5× 98 0.5× 278 1.9× 76 0.9× 127 1.2k
Mikdat Kadıoğlu 253 0.4× 475 0.9× 236 1.3× 53 0.4× 113 1.3× 32 868
Andreas Will 572 1.0× 605 1.1× 108 0.6× 121 0.8× 75 0.8× 17 887
Wee Ho Lim 408 0.7× 813 1.5× 128 0.7× 59 0.4× 382 4.3× 30 1.1k
C. Bruce Baker 784 1.4× 618 1.1× 592 3.2× 36 0.2× 129 1.4× 34 1.3k
Fred V. Brock 482 0.9× 434 0.8× 292 1.6× 31 0.2× 68 0.8× 12 846

Countries citing papers authored by Ken Mylne

Since Specialization
Citations

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

Fields of papers citing papers by Ken Mylne

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ken Mylne

This figure shows the co-authorship network connecting the top 25 collaborators of Ken Mylne. A scholar is included among the top collaborators of Ken Mylne 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 Ken Mylne. Ken Mylne 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.
2.
Stephens, Elisabeth, David Spiegelhalter, Ken Mylne, & Mark Harrison. (2019). The Met Office Weather Game: investigating how different methods for presenting probabilistic weather forecasts influence decision-making. CentAUR (University of Reading). 2(2). 101–116. 15 indexed citations
3.
Stephenson, David B., et al.. (2015). On the predictability of extremes: Does the butterfly effect ever decrease?. Quarterly Journal of the Royal Meteorological Society. 142(694). 58–64. 6 indexed citations
4.
Lewis, Huw, Marion Mittermaier, Ken Mylne, et al.. (2015). From months to minutes – exploring the value of high‐resolution rainfall observation and prediction during the UK winter storms of 2013/2014. Meteorological Applications. 22(1). 90–104. 26 indexed citations
5.
Kaplan, Todd R., et al.. (2014). Communication of Uncertainty in Temperature Forecasts. Weather and Forecasting. 30(1). 5–22. 13 indexed citations
6.
Dale, Murray, Y. Ji, Jon Wicks, et al.. (2013). Applying probabilistic flood forecasting in flood incident management. CentAUR (University of Reading). 4 indexed citations
7.
Robbins, Joanne, et al.. (2013). Tumbi Landslide, Papua New Guinea: rainfall induced?. Landslides. 10(5). 673–684. 9 indexed citations
8.
Palin, Erika J., et al.. (2012). Assessing the potential impact of climate change on the UK’s electricity network. Climatic Change. 115(3-4). 821–835. 38 indexed citations
9.
Flowerdew, Jonathan, Ken Mylne, Caroline Jones, & Helen Titley. (2012). Extending the forecast range of the UK storm surge ensemble. Quarterly Journal of the Royal Meteorological Society. 139(670). 184–197. 33 indexed citations
10.
Dale, Murray, et al.. (2012). Probabilistic flood forecasting and decision-making: an innovative risk-based approach. Natural Hazards. 70(1). 159–172. 63 indexed citations
11.
Mylne, Ken, et al.. (2011). Using an online game to evaluate effective methods of communicating ensemble model output to different audiences. AGU Fall Meeting Abstracts. 2011. 5 indexed citations
12.
Flowerdew, Jonathan, Kevin Horsburgh, & Ken Mylne. (2009). Ensemble Forecasting of Storm Surges. Marine Geodesy. 32(2). 91–99. 27 indexed citations
13.
Horsburgh, Kevin, Joanne Williams, Jonathan Flowerdew, & Ken Mylne. (2008). Aspects of operational forecast model skill during an extreme storm surge event. Journal of Flood Risk Management. 1(4). 213–221. 24 indexed citations
14.
Bowler, Neill E., et al.. (2007). The MOGREPS short-range ensemble prediction system: Verification report. 1 indexed citations
15.
Arribas, Alberto, K. B. Robertson, & Ken Mylne. (2005). Test of a Poor Man’s Ensemble Prediction System for Short-Range Probability Forecasting. Monthly Weather Review. 133(7). 1825–1839. 43 indexed citations
16.
Legg, Tim & Ken Mylne. (2004). Early Warnings of Severe Weather from Ensemble Forecast Information. Weather and Forecasting. 19(5). 891–906. 40 indexed citations
17.
18.
Harrison, Mark, et al.. (2000). Joint Medium-Range Ensembles from The Met. Office and ECMWF Systems. Monthly Weather Review. 128(9). 3104–3127. 71 indexed citations
19.
Mylne, Ken & P. J. Mason. (1991). Concentration fluctuation measurements in a dispersing plume at a range of up to 1000 m. Quarterly Journal of the Royal Meteorological Society. 117(497). 177–206. 164 indexed citations
20.
Mylne, Ken & B.A. Callander. (1989). Short range tracer dispersion experiments at Nyland Hill. Atmospheric Environment (1967). 23(12). 2667–2677. 1 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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