Daniel Williamson

36 papers receiving 1.2k citations

Daniel Williamson's Hit Papers

The Art and Science of Climate Model Tuning 2016 · 411 citations
4110+3+6Years since publication100200300400

Peers

Daniel Williamson
Comparison fields: 5 of 78
  • Atmospheric Science 454
  • Global and Planetary Change 605
  • Statistics, Probability and Uncertainty 66
  • Oceanography 49
  • Artificial Intelligence 149
Replace Mathieu Ribatet with:
Mathieu Ribatet France
Rodrigo Pedreros France
Aloke Phatak Australia
David N. Barnett United Kingdom
Jean‐Baptiste Filippi France
Charles S. Jackson United States
Edward N. Rappaport United States
Clive W. Anderson United Kingdom
Alexis Hannart France
Travis Allen O'Brien United States
Daniel Williamson relative to Mathieu Ribatet France Mathieu Ribatet's profile →
Citations per field
00.5×2×3.1×
Mathieu Ribatet · 1×
Citations per year

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-authors

The 25 scholars most cited alongside Daniel Williamson, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Daniel Williamson Line = papers co-authored together Daniel Williamson links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 37 papers — load more, or switch the sort, to bring in the rest.

#Work
1
The Art and Science of Climate Model Tuning
Hit paper breakdown →
2016411
2 2013146
3 201481
4 202067
5 201753
6 201747
7 202037
8 202325
9 201624
10 202224
11 201223
12 201423
13 200522
14 201320
15 202120
16 202220
17 202215
18 202215
19 202114
20 201112

About Daniel Williamson

Daniel Williamson is a scholar working on Global and Planetary Change, Atmospheric Science, Artificial Intelligence, Transportation and Ocean Engineering, having authored 37 papers that have together received 1.2k indexed citations. Recurring topics across this work include Gaussian Processes and Bayesian Inference (11 papers), Climate variability and models (11 papers), Meteorological Phenomena and Simulations (7 papers), Transportation Planning and Optimization (3 papers), Land Use and Ecosystem Services (3 papers), Probabilistic and Robust Engineering Design (3 papers), Urban Transport and Accessibility (3 papers) and Drilling and Well Engineering (2 papers). The work is most often cited by research in Atmospheric Science (454 citations), Global and Planetary Change (605 citations), Statistics, Probability and Uncertainty (66 citations), Oceanography (49 citations) and Artificial Intelligence (149 citations). Daniel Williamson has collaborated with scholars based in United Kingdom, France and New Zealand. Frequent co-authors include Adam Tobias Blaker, James M. Salter, F. Hourdin, Michael Goldstein, Catherine Rio, Peter Challenor, Andrew Gettelman, V. Balaji, Masahiro Watanabe and Jean‐Christophe Golaz. Their work appears in journals such as SIAM/ASA Journal on Uncertainty Quantification, Journal of Advances in Modeling Earth Systems, Climate Dynamics, International Journal for Uncertainty Quantification and Journal of the Royal Statistical Society Series C (Applied Statistics).

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.

Explore authors with similar magnitude of impact