Martin P. King
- Global and Planetary Change top 2%
- Atmospheric Science top 2%
- Oceanography top 5%
- Computational Mechanics top 10%
- Mechanical Engineering
- Co-authors
- Fred KucharskiFranco MolteniF. S. SyedFilippo GiorgiJeremy S. PalNoel KeenlysideStefan SobolowskiIn‐Sik Kang
- Topics
- Climate variability and models (28 papers)Meteorological Phenomena and Simulations (22 papers)Oceanographic and Atmospheric Processes (11 papers)
- Journals
- Journal of ClimateBulletin of the American Meteorological SocietyQuarterly Journal of the Royal Meteorological Society
- Partner nations
- NorwayItalyUnited Kingdom
In The Last Decade
Martin P. King
38 papers receiving 1.1k citations
Peers
Comparison fields: 5 of 64
- Global and Planetary Change 924
- Atmospheric Science 858
- Oceanography 335
- Computational Mechanics 118
- Mechanical Engineering 61
Countries citing papers authored by Martin P. King
This map shows the geographic impact of Martin P. King'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 Martin P. King with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Martin P. King more than expected).
Fields of papers citing papers by Martin P. King
This network shows the impact of papers produced by Martin P. King. 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 Martin P. King. The network helps show where Martin P. King may publish in the future.
Co-authorship network of co-authors of Martin P. King
This figure shows the co-authorship network connecting the top 25 collaborators of Martin P. King. A scholar is included among the top collaborators of Martin P. King 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 Martin P. King. Martin P. King is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 20 | |
| 2 | 8 | |
| 3 | 25 | |
| 4 | 7 | |
| 5 | 4 | |
| 6 | 8 | |
| 7 | 10 | |
| 8 | 10 | |
| 9 | 21 | |
| 10 | 47 | |
| 11 | 1 | |
| 12 | 32 | |
| 13 | 25 | |
| 14 | 111 | |
| 15 | 44 | |
| 16 | 29 | |
| 17 | The influence of height ratio on rayleigh-number scaling and stability of horizontal convection | 3 |
| 18 | 13 | |
| 19 | 43 | |
| 20 | 8 |
About Martin P. King
Martin P. King is a scholar working on Atmospheric Science, Global and Planetary Change and Oceanography, having authored 38 papers that have together received 1.1k indexed citations. Recurring topics across this work include Climate variability and models (28 papers), Meteorological Phenomena and Simulations (22 papers) and Oceanographic and Atmospheric Processes (11 papers). The work is most often cited by research in Atmospheric Science (858 citations), Global and Planetary Change (924 citations) and Oceanography (335 citations). Martin P. King has collaborated with scholars based in Norway, Italy and United Kingdom. Frequent co-authors include Fred Kucharski, Franco Molteni, F. S. Syed, Filippo Giorgi, Jeremy S. Pal, Noel Keenlyside, Stefan Sobolowski, In‐Sik Kang, Riccardo Farneti and Camille Li. Their work appears in journals such as Journal of Climate, Bulletin of the American Meteorological Society and Quarterly Journal of the Royal Meteorological Society.
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.