David Eager

92 papers receiving 982 citations

Peers

David Eager
Comparison fields: 5 of 143
  • Equine 34
  • Orthopedics and Sports Medicine 123
  • Public Health, Environmental and Occupational Health 205
  • Critical Care and Intensive Care Medicine 32
  • Physical Therapy, Sports Therapy and Rehabilitation 24
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David Eager relative to David O’Hare New Zealand David O’Hare's profile →
Citations per field
00.5×10×17×
David O’Hare · 1×
Citations per year

Countries citing papers authored by David Eager

Since Specialization
Citations

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

Fields of papers citing papers by David Eager

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 98 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2016135
2 2010105
3 201056
4 202037
5 201537
6 198131
7 201731
8 201029
9 202128
10 200624
11 202022
12 200821
13 202120
14 201420
15 201120
16 200719
17 201818
18 201017
19 201514
20 201914

About David Eager

David Eager is a scholar working on Public Health, Environmental and Occupational Health, Pulmonary and Respiratory Medicine, Civil and Structural Engineering, Orthopedics and Sports Medicine and Biomedical Engineering, having authored 98 papers that have together received 1.0k indexed citations. Recurring topics across this work include Injury Epidemiology and Prevention (25 papers), Winter Sports Injuries and Performance (12 papers), Automotive and Human Injury Biomechanics (10 papers), Construction Project Management and Performance (10 papers), Traffic and Road Safety (10 papers), Sports injuries and prevention (10 papers), Transportation Safety and Impact Analysis (9 papers) and Sports Dynamics and Biomechanics (8 papers). The work is most often cited by research in Equine (34 citations), Orthopedics and Sports Medicine (123 citations), Public Health, Environmental and Occupational Health (205 citations), Critical Care and Intensive Care Medicine (32 citations) and Physical Therapy, Sports Therapy and Rehabilitation (24 citations). David Eager has collaborated with scholars based in Australia, United States and Sweden. Frequent co-authors include Ann-Marie Pendrill, Helen Little, Nina Reistad, S. McKinley, Rosalind Elliott, Karen Ashby, Rebecca Mitchell, Lesley Day, Carl Scarrott and Keith Alexander. Their work appears in journals such as Sensors, Injury Prevention, Australian and New Zealand Journal of Public Health, International Journal of Injury Control and Safety Promotion and Health Promotion Journal of Australia.

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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