Ian Sykes
- Atmospheric Science top 5%
- Global and Planetary Change top 10%
- Environmental Engineering top 10%
- Health, Toxicology and Mutagenesis top 10%
- Computational Mechanics
- Co-authors
- Björn StevensD. C. LewellenJoan CuxartAndreas ChlondBranko KosovićPeter BechtoldChin‐Hoh MoengDavid E. Stevens
- Topics
- Wind and Air Flow Studies (5 papers)Atmospheric chemistry and aerosols (3 papers)Meteorological Phenomena and Simulations (3 papers)
- Journals
- Environmental Science & TechnologyAtmospheric EnvironmentQuarterly Journal of the Royal Meteorological Society
- Partner nations
- United StatesUnited KingdomSpain
In The Last Decade
Ian Sykes
8 papers receiving 377 citations
Peers
Comparison fields: 5 of 53
- Atmospheric Science 292
- Global and Planetary Change 229
- Environmental Engineering 147
- Health, Toxicology and Mutagenesis 68
- Computational Mechanics 44
Countries citing papers authored by Ian Sykes
This map shows the geographic impact of Ian Sykes'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 Ian Sykes with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ian Sykes more than expected).
Fields of papers citing papers by Ian Sykes
This network shows the impact of papers produced by Ian Sykes. 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 Ian Sykes. The network helps show where Ian Sykes may publish in the future.
Co-authorship network of co-authors of Ian Sykes
This figure shows the co-authorship network connecting the top 25 collaborators of Ian Sykes. A scholar is included among the top collaborators of Ian Sykes 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 Ian Sykes. Ian Sykes 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 | 2 | |
| 3 | AUTOMATED SOURCE PARAMETER AND LOW LEVEL WIND ESTIMATION FOR ATMOSPHERIC TRANSPORT AND DISPERSION APPLICATIONS | 1 |
| 4 | 60 | |
| 5 | 47 | |
| 6 | 215 | |
| 7 | 16 | |
| 8 | 21 |
About Ian Sykes
Ian Sykes is a scholar working on Environmental Engineering, Atmospheric Science and Statistics, Probability and Uncertainty, having authored 8 papers that have together received 389 indexed citations. Recurring topics across this work include Wind and Air Flow Studies (5 papers), Atmospheric chemistry and aerosols (3 papers) and Meteorological Phenomena and Simulations (3 papers). The work is most often cited by research in Atmospheric Science (292 citations), Global and Planetary Change (229 citations) and Environmental Engineering (147 citations). Ian Sykes has collaborated with scholars based in United States, United Kingdom and Spain. Frequent co-authors include Björn Stevens, D. C. Lewellen, Joan Cuxart, Andreas Chlond, Branko Kosović, Peter Bechtold, Chin‐Hoh Moeng, David E. Stevens, A. Pier Siebesma and Christopher S. Bretherton. Their work appears in journals such as Environmental Science & Technology, Atmospheric Environment 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.