Daniel Halliday

24 papers receiving 379 citations

Peers

Daniel Halliday
Comparison fields: 5 of 86
  • Modeling and Simulation 78
  • Health 120
  • Infectious Diseases 94
  • Emergency Medical Services 23
  • General Decision Sciences 6
Replace R. J. Leland with:
R. J. Leland Canada
Benjamin S. Morse United States
Ben Oppenheim United States
Marco Schäferhoff United States
Cécile Fabre United Kingdom
Erik Bækkeskov Australia
Adam L. Kern United States
Kaci Kennedy McDade United States
Joseph Downing United Kingdom
Jennifer Gaskell United Kingdom
Daniel Halliday relative to R. J. Leland Canada R. J. Leland's profile →
Citations per field
00.5×
R. J. Leland · 1×
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-authors

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

Showing the 20 most-cited of 27 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2020214
2 201539
3
The Form of the Firm: A Normative Political Theory of the Corporation
202024
4 202122
5 201817
6 202115
7 202113
8 201712
9 20138
10 20205
11 20065
12 20125
13 20134
14 20054
15 20193
16 20053
17 20241
18 20241
19 20211
20 20181

About Daniel Halliday

Daniel Halliday is a scholar working on Philosophy, Law, Political Science and International Relations, General Health Professions and Sociology and Political Science, having authored 27 papers that have together received 401 indexed citations. Recurring topics across this work include Epistemology, Ethics, and Metaphysics (4 papers), Philosophy and Theoretical Science (3 papers), Political Philosophy and Ethics (3 papers), Legal principles and applications (3 papers), Housing, Finance, and Neoliberalism (2 papers), Income, Poverty, and Inequality (2 papers), Property Rights and Legal Doctrine (2 papers) and Vaccine Coverage and Hesitancy (2 papers). The work is most often cited by research in Modeling and Simulation (78 citations), Health (120 citations), Infectious Diseases (94 citations), Emergency Medical Services (23 citations) and General Decision Sciences (6 citations). Daniel Halliday has collaborated with scholars based in Australia, United States and United Kingdom. Frequent co-authors include R. J. Leland, Kok‐Chor Tan, Matthew S. McCoy, Christopher Heath Wellman, G. Owen Schaefer, Cécile Fabre, Ole Frithjof Norheim, Ezekiel Emanuel, Allen Buchanan and Joseph Heath. Their work appears in journals such as Proceedings of the Aristotelian Society, Philosophy Compass, Philosophical Studies, Australasian Journal of Philosophy 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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