Will Tebbutt
Impact in
-
- Meteorological Phenomena and Simulations
- Cryospheric studies and observations
- Precipitation Measurement and Analysis
- Tropical and Extratropical Cyclones Research
-
- Climate variability and models
Papers in
-
- Markov Chains and Monte Carlo Methods 1
-
- Decision-Making and Behavioral Economics 1
- Co-authors
- J. Scott Hosking (3 shared papers)Richard E. Turner (2 shared papers)Matthew Chantry (1 shared paper)Michael Herzog (1 shared paper)James Requeima (1 shared paper)Tom R. Andersson (1 shared paper)Wessel P. Bruinsma (1 shared paper)Nicholas D. Lane (1 shared paper)
- Journals
- Geoscientific model development (1 paper)Nature Communications (1 paper)Nature (1 paper)DSpace@MIT (Massachusetts Institute of Technology) (1 paper)
- Partner nations
- United KingdomUnited StatesAustralia
In The Last Decade
Will Tebbutt
5 papers receiving 73 citations
Will Tebbutt's Hit Papers
Peers
Comparison fields: 5 of 29
- Atmospheric Science 34
- Global and Planetary Change 19
- Environmental Engineering 7
- Statistical and Nonlinear Physics 4
- Astronomy and Astrophysics 5
Countries citing papers authored by Will Tebbutt
This map shows the geographic impact of Will Tebbutt'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 Will Tebbutt with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Will Tebbutt more than expected).
Fields of papers citing papers by Will Tebbutt
This network shows the impact of papers produced by Will Tebbutt. 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 Will Tebbutt. The network helps show where Will Tebbutt may publish in the future.
Co-authors
The 20 scholars most cited alongside Will Tebbutt, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | End-to-end data-driven weather prediction Hit paper breakdown → | 2025 | 31 |
| 2 | 2022 | 27 | |
| 3 | 2025 | 9 | |
| 4 | AdvancedHMC.jl: A robust, modular and efficient implementation of advanced HMC algorithms | 2019 | 6 |
| 5 | 2026 | 1 |
About Will Tebbutt
Will Tebbutt is a scholar working on Statistics and Probability, General Decision Sciences, Atmospheric Science, Global and Planetary Change and Artificial Intelligence, having authored 5 papers that have together received 74 indexed citations. Recurring topics across this work include Meteorological Phenomena and Simulations (2 papers), Climate variability and models (2 papers), Cryospheric studies and observations (1 paper), Precipitation Measurement and Analysis (1 paper), Markov Chains and Monte Carlo Methods (1 paper), Bayesian Modeling and Causal Inference (1 paper), Climate Change and Health Impacts (1 paper) and Decision-Making and Behavioral Economics (1 paper). The work is most often cited by research in Atmospheric Science (34 citations), Global and Planetary Change (19 citations), Environmental Engineering (7 citations), Statistical and Nonlinear Physics (4 citations) and Astronomy and Astrophysics (5 citations). Will Tebbutt has collaborated with scholars based in United Kingdom, United States and Australia. Frequent co-authors include J. Scott Hosking, Richard E. Turner, Matthew Chantry, Michael Herzog, James Requeima, Tom R. Andersson, Wessel P. Bruinsma, Nicholas D. Lane, Martin A. Trapp and Zoubin Ghahramani. Their work appears in journals such as Geoscientific model development, Nature Communications, Nature and DSpace@MIT (Massachusetts Institute of Technology).
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.