Ken Mylne
- Atmospheric Science top 5%
- Global and Planetary Change top 5%
- Environmental Engineering top 5%
- Oceanography top 10%
- Water Science and Technology top 10%
- Co-authors
- P. J. MasonJonathan FlowerdewKevin HorsburghMark HarrisonK. B. RobertsonTim LeggChris WilsonRichard Graham
- Topics
- Meteorological Phenomena and Simulations (21 papers)Climate variability and models (15 papers)Tropical and Extratropical Cyclones Research (8 papers)
- Partner nations
- United KingdomNetherlandsAustralia
In The Last Decade
Ken Mylne
26 papers receiving 867 citations
Peers
Comparison fields: 5 of 88
- Atmospheric Science 563
- Global and Planetary Change 557
- Environmental Engineering 187
- Oceanography 147
- Water Science and Technology 89
Countries citing papers authored by Ken Mylne
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
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
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 29 | |
| 3 | 15 | |
| 4 | 30 | |
| 5 | 6 | |
| 6 | 26 | |
| 7 | 32 | |
| 8 | 13 | |
| 9 | Applying probabilistic flood forecasting in flood incident management | 4 |
| 10 | 43 | |
| 11 | 33 | |
| 12 | 38 | |
| 13 | Using an online game to evaluate effective methods of communicating ensemble model output to different audiences | 5 |
| 14 | 82 | |
| 15 | 27 | |
| 16 | 24 | |
| 17 | 43 | |
| 18 | 40 | |
| 19 | 14 | |
| 20 | 1 |
About Ken Mylne
Ken Mylne is a scholar working on Atmospheric Science, Global and Planetary Change and General Decision Sciences, having authored 27 papers that have together received 913 indexed citations. Recurring topics across this work include Meteorological Phenomena and Simulations (21 papers), Climate variability and models (15 papers) and Tropical and Extratropical Cyclones Research (8 papers). The work is most often cited by research in Atmospheric Science (563 citations), Global and Planetary Change (557 citations) and Environmental Engineering (187 citations). Ken Mylne has collaborated with scholars based in United Kingdom, Netherlands and Australia. Frequent co-authors include P. J. Mason, Jonathan Flowerdew, Kevin Horsburgh, Mark Harrison, K. B. Robertson, Tim Legg, Chris Wilson, Richard Graham, Alberto Arribas and Robert A. Neal. Their work appears in journals such as Monthly Weather Review, Bulletin of the American Meteorological Society and Climatic Change.
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.