Lee Copping

1.4k total citations · 1 hit paper
21 papers, 949 citations indexed

About

Lee Copping is a scholar working on Experimental and Cognitive Psychology, Gender Studies and Education. According to data from OpenAlex, Lee Copping has authored 21 papers receiving a total of 949 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Experimental and Cognitive Psychology, 6 papers in Gender Studies and 5 papers in Education. Recurrent topics in Lee Copping's work include Evolutionary Psychology and Human Behavior (10 papers), Gender Roles and Identity Studies (4 papers) and Reading and Literacy Development (3 papers). Lee Copping is often cited by papers focused on Evolutionary Psychology and Human Behavior (10 papers), Gender Roles and Identity Studies (4 papers) and Reading and Literacy Development (3 papers). Lee Copping collaborates with scholars based in United Kingdom, United States and South Africa. Lee Copping's co-authors include Anne Campbell, Catharine Cross, Steven Muncer, George B. Richardson, Anne Campbell, Mark H. C. Lai, Daniel J. Kruger, Peter Tymms, Susan E. Stothard and Catherine McKenna and has published in prestigious journals such as Psychological Bulletin, Personality and Individual Differences and Evolution and Human Behavior.

In The Last Decade

Lee Copping

20 papers receiving 903 citations

Hit Papers

Sex differences in impulsivity: A meta-analysis. 2011 2026 2016 2021 2011 200 400 600

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Lee Copping United Kingdom 10 425 306 246 201 180 21 949
Khandis R. Blake Australia 18 448 1.1× 325 1.1× 242 1.0× 342 1.7× 63 0.3× 59 991
Chad M. McWhinnie United States 13 192 0.5× 383 1.3× 272 1.1× 131 0.7× 120 0.7× 24 793
Sally I‐Chun Kuo United States 17 391 0.9× 470 1.5× 319 1.3× 239 1.2× 82 0.5× 59 1.2k
Maja Djikic Canada 16 394 0.9× 198 0.6× 339 1.4× 203 1.0× 85 0.5× 24 1.1k
Sally Olderbak Germany 19 510 1.2× 437 1.4× 433 1.8× 184 0.9× 66 0.4× 63 1.1k
Sooyeon Sung United States 6 306 0.7× 244 0.8× 257 1.0× 142 0.7× 64 0.4× 7 684
Eduardo A. Vasquez United Kingdom 16 264 0.6× 486 1.6× 426 1.7× 403 2.0× 87 0.5× 27 1.1k
Danielle Boisvert United States 18 190 0.4× 419 1.4× 170 0.7× 329 1.6× 112 0.6× 62 887
Jose C. Yong Singapore 17 324 0.8× 187 0.6× 170 0.7× 255 1.3× 75 0.4× 34 751
Antonio Andrés Pueyo Spain 22 215 0.5× 484 1.6× 197 0.8× 352 1.8× 76 0.4× 94 1.3k

Countries citing papers authored by Lee Copping

Since Specialization
Citations

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

Fields of papers citing papers by Lee Copping

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Lee Copping

This figure shows the co-authorship network connecting the top 25 collaborators of Lee Copping. A scholar is included among the top collaborators of Lee Copping based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Lee Copping. Lee Copping is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Copping, Lee, Peter Tymms, Sarah Howie, et al.. (2023). Is the order of learning numerals universal? Evidence from eight countries and six languages. Cognitive Development. 69. 101391–101391.
2.
Copping, Lee, et al.. (2023). Attitudes to Organ Donor Registration in England Under Opt-Out Legislation. Progress in Transplantation. 33(3). 208–215. 2 indexed citations
3.
Dagnan, Dave, et al.. (2023). An investigation into the factor structure of the Health of the Nation Outcome Scales for People with Learning Disabilities. Journal of Intellectual Disability Research. 67(11). 1113–1123. 1 indexed citations
4.
Swainston, Katherine, et al.. (2022). What psychological interventions are effective for the management of persistent physical symptoms (PPS)? A systematic review and meta‐analysis. British Journal of Health Psychology. 28(1). 80–97. 9 indexed citations
5.
Copping, Lee. (2022). Anxiety and covid-19 compliance behaviors in the UK: The moderating role of conspiratorial thinking. Personality and Individual Differences. 192. 111604–111604. 6 indexed citations
6.
Richardson, George B., et al.. (2021). Advancing the Psychometric Study of Human Life History Indicators. Human Nature. 32(2). 363–386. 8 indexed citations
7.
Campbell, Anne, Lee Copping, & Catharine Cross. (2021). Sex Differences in Fear Response. 4 indexed citations
8.
Richardson, George B., et al.. (2020). The Structure and Invariance of Human Life History Indicators Across the Sexes: An extension of Richardson, Sanning et al., (2017). Teesside University Research Portal (Teesside University). 32(2). 1 indexed citations
9.
Copping, Lee & George B. Richardson. (2019). Studying Sex Differences in Psychosocial Life History Indicators. Evolutionary Psychological Science. 6(1). 47–59. 4 indexed citations
10.
McKenna, Catherine, et al.. (2019). Sex differences in variability across nations in reading, mathematics and science: a meta-analytic extension of Baye and Monseur (2016). Large-scale Assessments in Education. 7(1). 32 indexed citations
11.
Merrell, Christine, et al.. (2018). Number identification: a unique developmental pathway in mathematics?. Research Papers in Education. 35(2). 117–143. 3 indexed citations
12.
Copping, Lee, Anne Campbell, Steven Muncer, & George B. Richardson. (2017). The Psychometric Evaluation of Human Life Histories. Evolutionary Psychology. 15(1). 2125778351–2125778351. 34 indexed citations
13.
Richardson, George B., et al.. (2017). On the Psychometric Study of Human Life History Strategies. Evolutionary Psychology. 15(1). 2125781464–2125781464. 61 indexed citations
14.
Tymms, Peter, et al.. (2017). The First Year at School in the Western Cape: Growth, Development and Progress. Durham Research Online (Durham University). 4 indexed citations
15.
Copping, Lee, Anne Campbell, & Steven Muncer. (2014). Psychometrics and Life History Strategy: The Structure and Validity of the High K Strategy Scale. Evolutionary Psychology. 12(1). 200–222. 76 indexed citations
16.
Copping, Lee, Anne Campbell, & Steven Muncer. (2014). Conceptualizing Time Preference: A Life-History Analysis. Evolutionary Psychology. 12(4). 829–847. 19 indexed citations
17.
Copping, Lee & Anne Campbell. (2014). The environment and life history strategies: neighborhood and individual-level models. Evolution and Human Behavior. 36(3). 182–190. 23 indexed citations
18.
Copping, Lee, Anne Campbell, & Steven Muncer. (2013). Violence, Teenage Pregnancy, and Life History. Human Nature. 24(2). 137–157. 31 indexed citations
19.
Copping, Lee, Anne Campbell, & Steven Muncer. (2013). Impulsivity, sensation seeking and reproductive behaviour: A life history perspective. Personality and Individual Differences. 54(8). 908–912. 17 indexed citations
20.
Cross, Catharine, Lee Copping, & Anne Campbell. (2011). Sex differences in impulsivity: A meta-analysis.. Psychological Bulletin. 137(1). 97–130. 610 indexed citations breakdown →

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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