Daniel Halliday

920 citations
27 papers · 388 indexed · h-index 8

Daniel Halliday

22 papers receiving 366 citations

Peers

Daniel Halliday
Comparison fields: 5 of 88
  • Modeling and Simulation 91
  • Health 131
  • Infectious Diseases 108
  • Emergency Medical Services 27
  • General Decision Sciences 6
Replace R. J. Leland with:
R. J. Leland Canada
Benjamin S. Morse United States
Cécile Fabre United Kingdom
Ben Oppenheim United States
Jennifer Gaskell United Kingdom
Marco Schäferhoff United States
Muhammad Ittefaq United States
Marianne Wanamaker United States
Ray Block United States
Cláudia Abreu Lopes United Kingdom
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Citations per year

Countries citing papers authored by Daniel Halliday

Since Specialization
Citations

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

Fields of papers citing papers by Daniel Halliday

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20240
2 20241
3 20221
4 20221
5 202113
6 202120
7 20211
8 202114
9
The Form of the Firm: A Normative Political Theory of the Corporation
202024
10 2020212
11
The Ethics of Capitalism: An Introduction
20200
12 20191
13 20193
14 201817
15 20180
16 201535
17 20134
18 20120
19 20065
20 20053

About Daniel Halliday

Daniel Halliday is a scholar working on Philosophy, History and Philosophy of Science, Law, Health and Experimental and Cognitive Psychology, having authored 27 papers that have together received 388 indexed citations. Recurring topics across this work include Epistemology, Ethics, and Metaphysics (4 papers), Political Philosophy and Ethics (3 papers), Legal principles and applications (3 papers), Philosophy and Theoretical Science (3 papers), Logic, Reasoning, and Knowledge (2 papers), Employment and Welfare Studies (2 papers), Housing, Finance, and Neoliberalism (2 papers) and Property Rights and Legal Doctrine (2 papers). The work is most often cited by research in Modeling and Simulation (91 citations), Health (131 citations), Infectious Diseases (108 citations), Emergency Medical Services (27 citations) and General Decision Sciences (6 citations). Daniel Halliday has collaborated with scholars based in Australia, United Kingdom and United States. Frequent co-authors include Kok‐Chor Tan, Matthew S. McCoy, Cécile Fabre, Allen Buchanan, Ole Frithjof Norheim, R. J. Leland, G. Owen Schaefer, Ezekiel Emanuel, Christopher Heath Wellman and Jonathan Wolff. Their work appears in journals such as Philosophical Studies, Australasian Journal of Philosophy, Proceedings of the Aristotelian Society, Philosophy Compass and Politics Philosophy & Economics.

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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