Mark Colyvan

87 papers receiving 2.7k citations

Mark Colyvan's Hit Papers

A TAXONOMY AND TREATMENT OF UNCERTAINTY FOR ECOLOGY AND CONSERVATION BIOLOGY 2002 · 590 citations
5900+8+16Years since publication100200300400500

Peers

Mark Colyvan
Comparison fields: 5 of 151
  • History and Philosophy of Science 873
  • Theoretical Computer Science 89
  • Ecological Modeling 297
  • Philosophy 487
  • Experimental and Cognitive Psychology 520
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Citations per field
00.5×9.9×
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Citations per year

Countries citing papers authored by Mark Colyvan

Since Specialization
Citations

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

Fields of papers citing papers by Mark Colyvan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 88 papers — load more, or switch the sort, to bring in the rest.

#Work
1
A TAXONOMY AND TREATMENT OF UNCERTAINTY FOR ECOLOGY AND CONSERVATION BIOLOGY
Hit paper breakdown →
2002590
2 2001200
3 2010137
4 2009130
5 2008128
6 2011119
7 200598
8 201194
9 200789
10 201072
11 200371
12 200066
13 200259
14
How Mathematics Can Make a Difference
201758
15 200152
16 201146
17 201245
18 200544
19 200939
20 201035

About Mark Colyvan

Mark Colyvan is a scholar working on History and Philosophy of Science, Experimental and Cognitive Psychology, Philosophy, Artificial Intelligence and Computational Theory and Mathematics, having authored 88 papers that have together received 3.0k indexed citations. Recurring topics across this work include Philosophy and History of Science (38 papers), Philosophy and Theoretical Science (24 papers), Epistemology, Ethics, and Metaphysics (19 papers), Quantum Mechanics and Applications (7 papers), Economic and Environmental Valuation (7 papers), Computability, Logic, AI Algorithms (7 papers), Bayesian Modeling and Causal Inference (7 papers) and History and Theory of Mathematics (6 papers). The work is most often cited by research in History and Philosophy of Science (873 citations), Theoretical Computer Science (89 citations), Ecological Modeling (297 citations), Philosophy (487 citations) and Experimental and Cognitive Psychology (520 citations). Mark Colyvan has collaborated with scholars based in Australia, United States and United Kingdom. Frequent co-authors include Helen M. Regan, Mark A. Burgman, James Justus, Otávio Bueno, Aidan Lyon, Hugh P. Possingham, David B. Lindenmayer, Sam Baron, L. Ginzburg and Lynn A. Maguire. Their work appears in journals such as Mind, Philosophia Mathematica, Philosophical Studies, Synthese and Erkenntnis.

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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