Peter J. Etchells

1.6k citations
16 papers · 905 · h-index 11

Impact in

Papers in

Peter J. Etchells

15 papers receiving 840 citations

Peers

Peter J. Etchells
Comparison fields: 5 of 119
  • Statistics, Probability and Uncertainty 115
  • Experimental and Cognitive Psychology 200
  • Cognitive Neuroscience 282
  • General Decision Sciences 17
  • Information Systems and Management 60
Replace Sara Steegen with:
Sara Steegen Belgium
Frederik Aust Germany
Samantha F. Anderson United States
Jason Geller United States
Coosje Lisabet Sterre Veldkamp Netherlands
Malte Elson Germany
James A. Grange United Kingdom
Stéphane Doyen Australia
Andy J. Yap United States
Paul W. Foos United States
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Citations per field
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Citations per year

Countries citing papers authored by Peter J. Etchells

Since Specialization
Citations

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

Fields of papers citing papers by Peter J. Etchells

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

16 of 16 papers shown
#Work
1 2011222
2 2016188
3 2014141
4 201999
5 201456
6 201943
7 201639
8 200734
9 201234
10 201022
11 202219
12 20174
13 20171
14 20151
15 20071
16
Interdisciplinary bridging: a design-based research approach to enhancing the learning sciences in primary initial teaching education
20181

About Peter J. Etchells

Peter J. Etchells is a scholar working on Cognitive Neuroscience, Experimental and Cognitive Psychology, Sociology and Political Science, Clinical Psychology and Education, having authored 16 papers that have together received 905 indexed citations. Recurring topics across this work include Evolutionary Psychology and Human Behavior (3 papers), Impact of Technology on Adolescents (3 papers), Child Development and Digital Technology (3 papers), Eating Disorders and Behaviors (3 papers), Psychology of Moral and Emotional Judgment (2 papers), Neuroscience, Education and Cognitive Function (2 papers), Sexuality, Behavior, and Technology (2 papers) and Cognitive and developmental aspects of mathematical skills (2 papers). The work is most often cited by research in Statistics, Probability and Uncertainty (115 citations), Experimental and Cognitive Psychology (200 citations), Cognitive Neuroscience (282 citations), General Decision Sciences (17 citations) and Information Systems and Management (60 citations). Peter J. Etchells has collaborated with scholars based in United Kingdom, Brazil and Australia. Frequent co-authors include Christopher P. Benton, Casimir J. H. Ludwig, Iain D. Gilchrist, Chris Chambers, Suresh Muthukumaraswamy, Eva Feredoes, Ian S. Penton‐Voak, Marcus R. Munafò, Suzanne H. Gage and Andrew P. Clark. Their work appears in journals such as Royal Society Open Science, Journal of Vision, Frontiers in Psychology, Biology Letters 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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