Daniel Williamson

36 papers and 871 indexed citations i.

About

Daniel Williamson is a scholar working on Global and Planetary Change, Atmospheric Science and Artificial Intelligence. According to data from OpenAlex, Daniel Williamson has authored 36 papers receiving a total of 871 indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Global and Planetary Change, 15 papers in Atmospheric Science and 10 papers in Artificial Intelligence. Recurrent topics in Daniel Williamson’s work include Meteorological Phenomena and Simulations (13 papers), Climate variability and models (11 papers) and Gaussian Processes and Bayesian Inference (8 papers). Daniel Williamson is often cited by papers focused on Meteorological Phenomena and Simulations (13 papers), Climate variability and models (11 papers) and Gaussian Processes and Bayesian Inference (8 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, Michael Goldstein, F. Hourdin, Catherine Rio, James A. Screen, Peter Challenor, Thorsten Mauritsen, Yun Qian and Lorenzo Tomassini 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

Co-authorship network of co-authors of Daniel Williamson i

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.

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).

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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