Huw C. Davies
- Atmospheric Science top 0.2%
- Global and Planetary Change top 0.2%
- Oceanography top 1%
- Immunology top 5%
- Epidemiology top 10%
- Co-authors
- Heini WernliCornelia SchwierzBrian J. HoskinsOlivia MartiusChristof AppenzellerChristoph SchärMischa Croci‐MaspoliChristoph Frei
- Topics
- Climate variability and models (63 papers)Meteorological Phenomena and Simulations (60 papers)Tropical and Extratropical Cyclones Research (27 papers)
- Journals
- NatureProceedings of the National Academy of SciencesJournal of Geophysical Research Atmospheres
- Partner nations
- SwitzerlandUnited KingdomUnited States
In The Last Decade
Huw C. Davies
104 papers receiving 7.0k citations
Hit Papers
Peers
Comparison fields: 5 of 134
- Atmospheric Science 5.9k
- Global and Planetary Change 5.7k
- Oceanography 1.3k
- Immunology 458
- Epidemiology 322
Countries citing papers authored by Huw C. Davies
This map shows the geographic impact of Huw C. Davies'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 Huw C. Davies with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Huw C. Davies more than expected).
Fields of papers citing papers by Huw C. Davies
This network shows the impact of papers produced by Huw C. Davies. 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 Huw C. Davies. The network helps show where Huw C. Davies may publish in the future.
Co-authorship network of co-authors of Huw C. Davies
This figure shows the co-authorship network connecting the top 25 collaborators of Huw C. Davies. A scholar is included among the top collaborators of Huw C. Davies 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 Huw C. Davies. Huw C. Davies is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 27 | |
| 2 | 106 | |
| 3 | An Event-Based Jet Stream Climatology | 0 |
| 4 | 12 | |
| 5 | Cutting Edge: Long-Term B Cell Memory in Humans after Smallpox Vaccinationbreakdown → | 531 |
| 6 | Sub-structure of A Map Streamer | 3 |
| 7 | 7 | |
| 8 | 25 | |
| 9 | 89 | |
| 10 | 6 | |
| 11 | 77 | |
| 12 | 337 | |
| 13 | 54 | |
| 14 | 37 | |
| 15 | 18 | |
| 16 | 1 | |
| 17 | 31 | |
| 18 | 2 | |
| 19 | A new look at the ?-equation | 146 |
| 20 | A new look at the $ømega$-equation | 73 |
About Huw C. Davies
Huw C. Davies is a scholar working on Atmospheric Science, Global and Planetary Change and Oceanography, having authored 108 papers that have together received 7.4k indexed citations. Recurring topics across this work include Climate variability and models (63 papers), Meteorological Phenomena and Simulations (60 papers) and Tropical and Extratropical Cyclones Research (27 papers). The work is most often cited by research in Atmospheric Science (5.9k citations), Global and Planetary Change (5.7k citations) and Oceanography (1.3k citations). Huw C. Davies has collaborated with scholars based in Switzerland, United Kingdom and United States. Frequent co-authors include Heini Wernli, Cornelia Schwierz, Brian J. Hoskins, Olivia Martius, Christof Appenzeller, Christoph Schär, Mischa Croci‐Maspoli, Christoph Frei, Daniel Lüthi and Alexia C. Massacand. Their work appears in journals such as Nature, Proceedings of the National Academy of Sciences and Journal of Geophysical Research Atmospheres.
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.