Ewan Carr

2.4k citations
74 papers · 1.1k · h-index 19

Impact in

  • Demography top 1%
    • Retirement, Disability, and Employment
    • Employment and Welfare Studies
    • Workplace Health and Well-being
    • Global Health Care Issues

Papers in

Ewan Carr

68 papers receiving 1.1k citations

Peers

Ewan Carr
Comparison fields: 5 of 109
  • Demography 384
  • General Health Professions 527
  • Neuropsychology and Physiological Psychology 31
  • Health 133
  • Clinical Psychology 202
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Elena M. Fazio United States
Audrey N. Beck United States
Roger C. Gibson Jamaica
Tracy Falba United States
Uchechi A. Mitchell United States
Reza Omani‐Samani Iran
Barbara Schaan Germany
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Citations per field
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Citations per year

Countries citing papers authored by Ewan Carr

Since Specialization
Citations

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

Fields of papers citing papers by Ewan Carr

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 74 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201596
2 201481
3 202073
4 201866
5 201665
6 201958
7 201853
8 202053
9 201752
10 199334
11 201730
12 201727
13 202127
14 201625
15 202125
16 201821
17 202219
18 201918
19 201818
20 201718

About Ewan Carr

Ewan Carr is a scholar working on General Health Professions, Demography, Clinical Psychology, Experimental and Cognitive Psychology and Epidemiology, having authored 74 papers that have together received 1.1k indexed citations. Recurring topics across this work include Retirement, Disability, and Employment (18 papers), Employment and Welfare Studies (16 papers), Treatment of Major Depression (9 papers), Workplace Health and Well-being (8 papers), Health disparities and outcomes (8 papers), Mental Health Research Topics (8 papers), Mental Health Treatment and Access (7 papers) and Digital Mental Health Interventions (7 papers). The work is most often cited by research in Demography (384 citations), General Health Professions (527 citations), Neuropsychology and Physiological Psychology (31 citations), Health (133 citations) and Clinical Psychology (202 citations). Ewan Carr has collaborated with scholars based in United Kingdom, United States and Spain. Frequent co-authors include Stephen Stansfeld, Jenny Head, Heejung Chung, Paola Zaninotto, Mai Stafford, Maria Fleischmann, Baowen Xue, Emily Murray, Dorina Cadar and Nicola Shelton. Their work appears in journals such as BMJ Open, Occupational and Environmental Medicine, PLoS ONE, Psychological Medicine and European Journal of Ageing.

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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