Dan Marshall

415 citations
18 papers · 254 · h-index 10

Impact in

Papers in

Dan Marshall

17 papers receiving 223 citations

Peers

Dan Marshall
Comparison fields: 5 of 59
  • History and Philosophy of Science 91
  • Experimental and Cognitive Psychology 133
  • Philosophy 94
  • Discrete Mathematics and Combinatorics 18
  • Theoretical Computer Science 4
Replace Alexander R. Pruss with:
Alexander R. Pruss United States
Peter Forrest Australia
Storrs McCall Canada
Graham Oddie New Zealand
Daniel A. Wilkenfeld United States
Peter Forrest Australia
Mark Textor United Kingdom
Helen Morris Cartwright United States
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Michael Detlefsen United States
Dan Marshall relative to Alexander R. Pruss United States Alexander R. Pruss's profile →
Citations per field
00.5×
Alexander R. Pruss · 1×
Citations per year

Countries citing papers authored by Dan Marshall

Since Specialization
Citations

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

Fields of papers citing papers by Dan Marshall

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 8 scholars most cited alongside Dan Marshall, 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 Dan Marshall Line = papers co-authored together Dan Marshall links everyone, so they are left out of the graph.

All Works

18 of 18 papers shown
#Work
1
Intrinsic vs. Extrinsic Properties
200272
2 201536
3 201528
4 199919
5 201319
6 200115
7
A puzzle for modal realism
201611
8 201410
9 20129
10 20159
11 20098
12 20137
13 20024
14 20232
15 20012
16 20202
17 20211
18 20210

About Dan Marshall

Dan Marshall is a scholar working on Experimental and Cognitive Psychology, Philosophy, History and Philosophy of Science, Artificial Intelligence and Discrete Mathematics and Combinatorics, having authored 18 papers that have together received 254 indexed citations. Recurring topics across this work include Philosophy and Theoretical Science (13 papers), Philosophy and History of Science (6 papers), Epistemology, Ethics, and Metaphysics (6 papers), Logic, Reasoning, and Knowledge (5 papers), Classical Philosophy and Thought (3 papers), Philosophical Ethics and Theory (2 papers), Advanced Combinatorial Mathematics (2 papers) and Algebraic structures and combinatorial models (2 papers). The work is most often cited by research in History and Philosophy of Science (91 citations), Experimental and Cognitive Psychology (133 citations), Philosophy (94 citations), Discrete Mathematics and Combinatorics (18 citations) and Theoretical Computer Science (4 citations). Dan Marshall has collaborated with scholars based in Hong Kong, Australia and United Kingdom. Frequent co-authors include Josh Parsons, Cath Quinn, Jillian Pooler, Richard Byng, Andrew J. Shoffstall, Warren M. Grill, Nicole A. Pelot and Christopher Davis. Their work appears in journals such as Philosophy and Phenomenological Research, Philosophical Studies, Philosophy Compass, Synthese and Noûs.

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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