Daniel Exeter

3.1k citations
114 papers · 2.3k · h-index 27

Impact in

  • Health top 1%
    • Health disparities and outcomes
    • Urban Transport and Accessibility

Papers in

Daniel Exeter

109 papers receiving 2.3k citations

Peers

Daniel Exeter
Comparison fields: 5 of 158
  • Health 458
  • Transportation 303
  • Family Practice 24
  • General Health Professions 336
  • Modeling and Simulation 47
Replace Eleonora d’Orsi with:
Eleonora d’Orsi Brazil
David Fone United Kingdom
Jim P. Stimpson United States
Stephenie C. Lemon United States
Rosemary Korda Australia
Whitney R. Robinson United States
Diane K. King United States
Roger Yat‐Nork Chung Hong Kong
Fernando A. Wilson United States
Clare Salmond New Zealand
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Citations per field
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Eleonora d’Orsi · 1×
Citations per year

Countries citing papers authored by Daniel Exeter

Since Specialization
Citations

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

Fields of papers citing papers by Daniel Exeter

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 114 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2018196
2 2003139
3 2010128
4 2017121
5 200990
6 201679
7 201570
8 201062
9 201761
10 201157
11 201651
12 201050
13 202045
14 200742
15 201341
16 201537
17
Ethnic and geographic variations in the incidence of pancreatitis and post-pancreatitis diabetes mellitus in New Zealand: a nationwide population-based study.
201737
18 201136
19 200435
20 200934

About Daniel Exeter

Daniel Exeter is a scholar working on Health, General Health Professions, Public Health, Environmental and Occupational Health, Transportation and Management Science and Operations Research, having authored 114 papers that have together received 2.3k indexed citations. Recurring topics across this work include Health disparities and outcomes (30 papers), Global Health Workforce Issues (10 papers), Urban Transport and Accessibility (10 papers), Global Health Care Issues (10 papers), Migration, Aging, and Tourism Studies (8 papers), demographic modeling and climate adaptation (8 papers), Employment and Welfare Studies (8 papers) and Suicide and Self-Harm Studies (5 papers). The work is most often cited by research in Health (458 citations), Transportation (303 citations), Family Practice (24 citations), General Health Professions (336 citations) and Modeling and Simulation (47 citations). Daniel Exeter has collaborated with scholars based in New Zealand, United Kingdom and United States. Frequent co-authors include Jinfeng Zhao, Rod Jackson, Arier Lee, Paul Norman, Karen Witten, Adrian Field, Paul Boyle, Corina Grey, Andrew Kerr and Michael Browne. Their work appears in journals such as Social Science & Medicine, Health & Place, New Zealand Geographer, PLoS ONE and Journal of Epidemiology & Community Health.

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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