David Mellor

16.5k citations
371 papers · 11.1k · 3 hit papers · h-index 52

Impact in

Papers in

David Mellor

361 papers receiving 10.3k citations

David Mellor's Hit Papers

The 2020 Five Domains Model: Including Human–Animal Interactions in Assessments of Animal Welfare 2020 · 556 citations
5560+7+14Years since publication100200300400500

Peers

David Mellor
Comparison fields: 5 of 191
  • Small Animals 1.2k
  • Equine 244
  • Clinical Psychology 2.7k
  • Neuropsychology and Physiological Psychology 143
  • Health 713
Replace John P. Capitanio with:
John P. Capitanio United States
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Citations per field
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Citations per year

Countries citing papers authored by David Mellor

Since Specialization
Citations

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

Fields of papers citing papers by David Mellor

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 371 papers — load more, or switch the sort, to bring in the rest.

#Work
1
How can managers reduce employee intention to quit?
Hit paper breakdown →
2004579
2
The 2020 Five Domains Model: Including Human–Animal Interactions in Assessments of Animal Welfare
Hit paper breakdown →
2020556
3
Sexting prevalence and correlates: A systematic literature review
Hit paper breakdown →
2013409
4 2008406
5 2013237
6 2005217
7 2013201
8 1983186
9 2010163
10 2013151
11 2001140
12 2017139
13 2005121
14 2017114
15 2010113
16 2016111
17 2019111
18 2004109
19 2003106
20 2010104

About David Mellor

David Mellor is a scholar working on Clinical Psychology, Sociology and Political Science, Social Psychology, General Health Professions and Psychiatry and Mental health, having authored 371 papers that have together received 11.1k indexed citations. Recurring topics across this work include Eating Disorders and Behaviors (29 papers), Reproductive Physiology in Livestock (21 papers), Child and Adolescent Psychosocial and Emotional Development (21 papers), Animal Behavior and Welfare Studies (19 papers), Geriatric Care and Nursing Homes (18 papers), Human-Animal Interaction Studies (15 papers), Child Abuse and Trauma (15 papers) and Health disparities and outcomes (14 papers). The work is most often cited by research in Small Animals (1.2k citations), Equine (244 citations), Clinical Psychology (2.7k citations), Neuropsychology and Physiological Psychology (143 citations) and Health (713 citations). David Mellor has collaborated with scholars based in Australia, United Kingdom and New Zealand. Frequent co-authors include Marita P. McCabe, Lucy Firth, Kate Moore, David John Hallford, André M. N. Renzaho, Mark A. Stokes, Tanya E. Davison, Bianca Klettke, Robert A. Cummins and Ngaio J. Beausoleil. Their work appears in journals such as Animals, Research in Veterinary Science, Body Image, Aging & Mental Health and BMC Public 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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