Peter Murray

33 papers receiving 2.1k citations

Peter Murray's Hit Papers

Validation of the GENEA Accelerometer 2010 · 485 citations
4850+5+10Years since publication100200300400

Peers

Peter Murray
Comparison fields: 5 of 146
  • Applied Psychology 152
  • Dermatology 219
  • Physiology 502
  • General Health Professions 246
  • Complementary and alternative medicine 81
Replace Thomas Stephens with:
Thomas Stephens United States
Michael Catt United Kingdom
Christopher Irwin Australia
Frans van der Ouderaa United Kingdom
Madlyn I. Frisard United States
Xuewen Wang China
Julie L. Ryan United States
Robert A. Vigersky United States
Peyman Jafari Iran
Kevin O’Brien United States
Peter Murray relative to Thomas Stephens United States Thomas Stephens's profile →
Citations per field
00.5×3.1×
Thomas Stephens · 1×
Citations per year

Countries citing papers authored by Peter Murray

Since Specialization
Citations

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

Fields of papers citing papers by Peter Murray

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 33 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Validation of the GENEA Accelerometer
Hit paper breakdown →
2010485
2 2007422
3 2011178
4 2006165
5 2009163
6 2007101
7 201099
8 201656
9 200851
10 201250
11 201042
12 201241
13 200838
14 201533
15 201629
16 200829
17 200925
18 201624
19 201124
20 200921

About Peter Murray

Peter Murray is a scholar working on Dermatology, Endocrinology, Diabetes and Metabolism, Physiology, Clinical Psychology and Applied Psychology, having authored 33 papers that have together received 2.2k indexed citations. Recurring topics across this work include Skin Protection and Aging (6 papers), Behavioral Health and Interventions (3 papers), Diet and metabolism studies (3 papers), Evolutionary Psychology and Human Behavior (2 papers), Nutritional Studies and Diet (2 papers), melanin and skin pigmentation (2 papers), Diabetes, Cardiovascular Risks, and Lipoproteins (2 papers) and Body Image and Dysmorphia Studies (2 papers). The work is most often cited by research in Applied Psychology (152 citations), Dermatology (219 citations), Physiology (502 citations), General Health Professions (246 citations) and Complementary and alternative medicine (81 citations). Peter Murray has collaborated with scholars based in United Kingdom, Netherlands and United States. Frequent co-authors include Tina Hurst, Michael Catt, Roger Eston, Robert Hurling, Dale Esliger, B. W. Fairley, Jaspreet Singh Sodhi, Marco De Boni, Alex V. Rowlands and Shaoyan Zhang. Their work appears in journals such as Journal of Medical Internet Research, Medicine & Science in Sports & Exercise, British Journal Of Nutrition, PLoS ONE and Atherosclerosis.

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.

Explore authors with similar magnitude of impact