Jon Williamson

4.8k citations
98 papers · 2.4k indexed · h-index 25

Jon Williamson

92 papers receiving 2.2k citations

Peers

Jon Williamson
Comparison fields: 5 of 173
  • History and Philosophy of Science 886
  • General Decision Sciences 70
  • Philosophy 393
  • Family Practice 58
  • Statistics, Probability and Uncertainty 159
Replace Donald Gillies with:
Donald Gillies United Kingdom
Federica Russo Netherlands
Colin Howson United Kingdom
Peter Urbach United Kingdom
Deborah G. Mayo United States
Jan Sprenger Netherlands
Daniel Steel United States
Phyllis Illari United Kingdom
Marc R. Forster United States
Nancy Cartwright United States
Jon Williamson relative to Donald Gillies United Kingdom Donald Gillies's profile →
Citations per field
00.5×4.0×
Donald Gillies · 1×
Citations per year

Countries citing papers authored by Jon Williamson

Since Specialization
Citations

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

Fields of papers citing papers by Jon Williamson

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

The 25 scholars most cited alongside Jon 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 Jon Williamson Line = papers co-authored together Jon Williamson links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 20250
2 20250
3 20250
4 202315
5 20220
6 202012
7 20209
8 20198
9 201829
10 20186
11 201440
12 20136
13 201266
14 201131
15 20115
16 20083
17 20035
18
Maximising Entropy Efficiently
20022
19
Approximating Discrete Probability Distributions With Bayesian Networks
20006
20 199610

About Jon Williamson

Jon Williamson is a scholar working on History and Philosophy of Science, Philosophy, Artificial Intelligence, Statistics, Probability and Uncertainty and Family Practice, having authored 98 papers that have together received 2.4k indexed citations. Recurring topics across this work include Philosophy and History of Science (40 papers), Bayesian Modeling and Causal Inference (32 papers), Epistemology, Ethics, and Metaphysics (19 papers), Logic, Reasoning, and Knowledge (10 papers), Philosophy and Theoretical Science (10 papers), Biomedical Text Mining and Ontologies (8 papers), Health Systems, Economic Evaluations, Quality of Life (6 papers) and Meta-analysis and systematic reviews (6 papers). The work is most often cited by research in History and Philosophy of Science (886 citations), General Decision Sciences (70 citations), Philosophy (393 citations), Family Practice (58 citations) and Statistics, Probability and Uncertainty (159 citations). Jon Williamson has collaborated with scholars based in United Kingdom, United States and Netherlands. Frequent co-authors include Federica Russo, Phyllis Illari, Brendan Clarke, Donald Gillies, Jürgen Landes, Michael P. Kelly, Jan‐Willem Romeijn, Gregory Wheeler, Rolf Haenni and Beth Shaw. Their work appears in journals such as European Journal for Philosophy of Science, The British Journal for the Philosophy of Science, Synthese, Erkenntnis and Journal of Applied Logic.

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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