Daniel Nolan

2.7k citations
83 papers · 1.5k · h-index 20

Impact in

Papers in

Daniel Nolan

75 papers receiving 1.2k citations

Peers

Daniel Nolan
Comparison fields: 5 of 90
  • History and Philosophy of Science 495
  • Philosophy 873
  • Experimental and Cognitive Psychology 882
  • General Decision Sciences 22
  • Computational Theory and Mathematics 177
Replace Peter Menzies with:
Peter Menzies Australia
George Bealer United States
Roy Sorensen United States
Francesco Berto United Kingdom
John Woods Canada
Brian Weatherson United States
Matti Eklund United States
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Stephen Schiffer United States
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Citations per field
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Citations per year

Countries citing papers authored by Daniel Nolan

Since Specialization
Citations

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

Fields of papers citing papers by Daniel Nolan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 10 scholars most cited alongside Daniel Nolan, 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 Daniel Nolan Line = papers co-authored together Daniel Nolan links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 83 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1997303
2 1999210
3 2013116
4 199792
5 200562
6 200346
7 201345
8 200535
9 201133
10 201433
11 200632
12 199631
13 200128
14 201124
15 201420
16 199720
17 199920
18 200819
19 200719
20 201319

About Daniel Nolan

Daniel Nolan is a scholar working on Philosophy, Experimental and Cognitive Psychology, History and Philosophy of Science, Cognitive Neuroscience and Artificial Intelligence, having authored 83 papers that have together received 1.5k indexed citations. Recurring topics across this work include Philosophy and Theoretical Science (30 papers), Epistemology, Ethics, and Metaphysics (23 papers), Philosophy and History of Science (14 papers), Classical Philosophy and Thought (10 papers), Philosophical Ethics and Theory (9 papers), Psychology of Moral and Emotional Judgment (5 papers), Logic, Reasoning, and Knowledge (5 papers) and Theology and Philosophy of Evil (4 papers). The work is most often cited by research in History and Philosophy of Science (495 citations), Philosophy (873 citations), Experimental and Cognitive Psychology (882 citations), General Decision Sciences (22 citations) and Computational Theory and Mathematics (177 citations). Daniel Nolan has collaborated with scholars based in Australia, United States and United Kingdom. Frequent co-authors include Caroline West, Greg Restall, Carrie Jenkins, Carrie Jenkins, Rachael Briggs, Taane G. Clark, Robert G. Briggs, Donald B. Keck, M. Sauer and Ming-Jun Li. Their work appears in journals such as Philosophical Studies, Inquiry, Noûs, Analysis and Philosophy Compass.

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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