Peter Milne

1.1k citations
55 papers · 482 · h-index 11

Impact in

Papers in

Peter Milne

52 papers receiving 422 citations

Peers

Peter Milne
Comparison fields: 5 of 62
  • History and Philosophy of Science 170
  • General Decision Sciences 45
  • Philosophy 188
  • Experimental and Cognitive Psychology 178
  • Artificial Intelligence 226
Replace James Hawthorne with:
James Hawthorne United States
Dag Westerståhl Sweden
Tomoji Shogenji United States
Wolfgang Spohn Germany
Frank Plumpton Ramsey Finland
Ned Hall United States
Kenny Easwaran United States
Dorothy Edgington United Kingdom
Frank Arntzenius United States
C. J. F. Williams United Kingdom
Peter Milne relative to James Hawthorne United States James Hawthorne's profile →
Citations per field
00.5×1.7×
James Hawthorne · 1×
Citations per year

Countries citing papers authored by Peter Milne

Since Specialization
Citations

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

Fields of papers citing papers by Peter Milne

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 5 scholars most cited alongside Peter Milne, 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 Peter Milne Line = papers co-authored together Peter Milne links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 55 papers — load more, or switch the sort, to bring in the rest.

#Work
1 199662
2 199749
3 199531
4 199129
5 200526
6 200519
7 199515
8 200214
9 200914
10 199113
11 200311
12 200410
13 199410
14 198610
15 20229
16 20079
17 20038
18 19838
19 20217
20 19857

About Peter Milne

Peter Milne is a scholar working on Artificial Intelligence, Experimental and Cognitive Psychology, History and Philosophy of Science, Computational Theory and Mathematics and Philosophy, having authored 55 papers that have together received 482 indexed citations. Recurring topics across this work include Philosophy and Theoretical Science (19 papers), Logic, Reasoning, and Knowledge (16 papers), Philosophy and History of Science (13 papers), Epistemology, Ethics, and Metaphysics (9 papers), Advanced Algebra and Logic (8 papers), Bayesian Modeling and Causal Inference (8 papers), Quantum Mechanics and Applications (5 papers) and Phonetics and Phonology Research (4 papers). The work is most often cited by research in History and Philosophy of Science (170 citations), General Decision Sciences (45 citations), Philosophy (188 citations), Experimental and Cognitive Psychology (178 citations) and Artificial Intelligence (226 citations). Peter Milne has collaborated with scholars based in United Kingdom, Canada and New Zealand. Frequent co-authors include Graham Oddie, Alan Musgrave, Donald Gillies, Peter Kosso and Philip A. Ebert. Their work appears in journals such as Analysis, The British Journal for the Philosophy of Science, Erkenntnis, Journal of Philosophical Logic and Mind.

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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