Daniel Williamson

1.8k total citations · 1 hit paper
34 papers, 938 citations indexed

About

Daniel Williamson is a scholar working on Atmospheric Science, Global and Planetary Change and Artificial Intelligence. According to data from OpenAlex, Daniel Williamson has authored 34 papers receiving a total of 938 indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Atmospheric Science, 15 papers in Global and Planetary Change and 9 papers in Artificial Intelligence. Recurrent topics in Daniel Williamson's work include Meteorological Phenomena and Simulations (13 papers), Climate variability and models (10 papers) and Gaussian Processes and Bayesian Inference (7 papers). Daniel Williamson is often cited by papers focused on Meteorological Phenomena and Simulations (13 papers), Climate variability and models (10 papers) and Gaussian Processes and Bayesian Inference (7 papers). Daniel Williamson collaborates with scholars based in United Kingdom, France and New Zealand. Daniel Williamson's co-authors include Adam T. Blaker, James M. Salter, F. Hourdin, Michael Goldstein, Catherine Rio, James A. Screen, Florian Rauser, Lorenzo Tomassini, Yun Qian and Thorsten Mauritsen and has published in prestigious journals such as Journal of the American Statistical Association, Technometrics and Philosophical Transactions of the Royal Society B Biological Sciences.

In The Last Decade

Daniel Williamson

34 papers receiving 913 citations

Hit Papers

The Art and Science of Climate Model Tuning 2016 2026 2019 2022 2016 100 200 300
What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

  1. The Art and Science of Climate Model Tuning
    2016 346 citations F. Hourdin, Thorsten Mauritsen et al. Bulletin of the American Meteorological Society profile →

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Daniel Williamson United Kingdom 13 622 596 107 77 73 34 938
Mathieu Ribatet France 15 727 1.2× 335 0.6× 51 0.5× 160 2.1× 40 0.5× 26 1.2k
Michael Scheuerer United States 19 857 1.4× 875 1.5× 107 1.0× 266 3.5× 35 0.5× 39 1.3k
Clément Chevalier Switzerland 11 326 0.5× 241 0.4× 81 0.8× 36 0.5× 28 0.4× 19 574
Cezar Ionescu Germany 6 581 0.9× 490 0.8× 217 2.0× 49 0.6× 203 2.8× 21 1.4k
Pierre Ailliot France 15 316 0.5× 307 0.5× 94 0.9× 154 2.0× 181 2.5× 44 812
Dorit Hammerling United States 16 617 1.0× 436 0.7× 211 2.0× 356 4.6× 29 0.4× 56 1.2k
Simone A. Padoan Italy 10 513 0.8× 166 0.3× 92 0.9× 170 2.2× 42 0.6× 30 962
Young‐Il Moon South Korea 17 667 1.1× 295 0.5× 140 1.3× 199 2.6× 61 0.8× 93 1.2k
Dan Cornford United Kingdom 15 160 0.3× 154 0.3× 193 1.8× 231 3.0× 51 0.7× 61 808
Janet E. Heffernan United Kingdom 11 682 1.1× 267 0.4× 44 0.4× 134 1.7× 124 1.7× 21 1.4k

Countries citing papers authored by Daniel Williamson

Since Specialization
Citations

This map shows the geographic impact of Daniel Williamson'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 Daniel Williamson with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Daniel Williamson more than expected).

Fields of papers citing papers by Daniel Williamson

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Daniel Williamson. 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 Daniel Williamson. The network helps show where Daniel Williamson may publish in the future.

Co-authorship network of co-authors of Daniel Williamson

This figure shows the co-authorship network connecting the top 25 collaborators of Daniel Williamson. A scholar is included among the top collaborators of Daniel Williamson 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 Daniel Williamson. Daniel Williamson is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Salter, James M., et al.. (2025). Emulating computer models with high-dimensional count output. Philosophical Transactions of the Royal Society A Mathematical Physical and Engineering Sciences. 383(2292). 20240216–20240216. 1 indexed citations
2.
Binner, Amy, et al.. (2025). Using the natural capital framework to integrate biodiversity into sustainable, efficient and equitable environmental-economic decision-making. Philosophical Transactions of the Royal Society B Biological Sciences. 380(1917). 20230215–20230215. 3 indexed citations
3.
Williamson, Daniel, et al.. (2024). Coexchangeable Process Modeling for Uncertainty Quantification in Joint Climate Reconstruction. Journal of the American Statistical Association. 119(547). 1751–1764. 1 indexed citations
4.
Hourdin, F., et al.. (2023). Toward machine-assisted tuning avoiding the underestimation of uncertainty in climate change projections. Science Advances. 9(29). eadf2758–eadf2758. 9 indexed citations
5.
Barr, Stewart, et al.. (2023). Engaging publics in the transition to smart mobilities. GeoJournal. 88(5). 4953–4970. 3 indexed citations
6.
Harper, Anna, et al.. (2022). Emulation of high-resolution land surface models using sparse Gaussian processes with application to JULES. Geoscientific model development. 15(5). 1913–1929. 10 indexed citations
7.
Salter, James M. & Daniel Williamson. (2022). EFFICIENT CALIBRATION FOR HIGH-DIMENSIONAL COMPUTER MODEL OUTPUT USING BASIS METHODS. International Journal for Uncertainty Quantification. 12(6). 47–69. 5 indexed citations
8.
Barr, Stewart, et al.. (2022). ‘I feel the weather and you just know’. Narrating the dynamics of commuter mobility choices. Journal of Transport Geography. 103. 103407–103407. 7 indexed citations
9.
Williamson, Daniel, et al.. (2022). Deep Gaussian Process Emulation using Stochastic Imputation. Technometrics. 65(2). 150–161. 12 indexed citations
10.
11.
Williamson, Daniel, et al.. (2021). LOCAL VORONOI TESSELLATIONS FOR ROBUST MULTIWAVE CALIBRATION OF COMPUTER MODELS. International Journal for Uncertainty Quantification. 11(5). 1–17. 1 indexed citations
12.
Villefranque, Najda, Stéphane Blanco, Fleur Couvreux, et al.. (2021). Process‐Based Climate Model Development Harnessing Machine Learning: III. The Representation of Cumulus Geometry and Their 3D Radiative Effects. Journal of Advances in Modeling Earth Systems. 13(4). 9 indexed citations
13.
Barr, Stewart, et al.. (2021). Shared space: Negotiating sites of (un)sustainable mobility. Geoforum. 127. 283–292. 12 indexed citations
14.
Hourdin, F., Daniel Williamson, Catherine Rio, et al.. (2020). Process‐Based Climate Model Development Harnessing Machine Learning: II. Model Calibration From Single Column to Global. Journal of Advances in Modeling Earth Systems. 13(6). 27 indexed citations
15.
Couvreux, Fleur, F. Hourdin, Daniel Williamson, et al.. (2020). Process‐Based Climate Model Development Harnessing Machine Learning: I. A Calibration Tool for Parameterization Improvement. Journal of Advances in Modeling Earth Systems. 13(3). 53 indexed citations
16.
Dawkins, Laura, et al.. (2018). Influencing transport behaviour: A Bayesian modelling approach for segmentation of social surveys. Journal of Transport Geography. 70. 91–103. 8 indexed citations
17.
Williamson, Daniel, Adam T. Blaker, & Bablu Sinha. (2017). Tuning without over-tuning: parametric uncertainty quantification for the NEMO ocean model. Geoscientific model development. 10(4). 1789–1816. 41 indexed citations
18.
Screen, James A. & Daniel Williamson. (2017). Ice-free Arctic at 1.5 °C?. Nature Climate Change. 7(4). 230–231. 48 indexed citations
19.
Hourdin, F., Thorsten Mauritsen, Andrew Gettelman, et al.. (2016). The Art and Science of Climate Model Tuning. Bulletin of the American Meteorological Society. 98(3). 589–602. 346 indexed citations breakdown →
20.
Yamazaki, Kuniko, T. Aina, Adam T. Blaker, et al.. (2013). Obtaining diverse behaviors in a climate model without the use of flux adjustments. Journal of Geophysical Research Atmospheres. 118(7). 2781–2793. 19 indexed citations

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.

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