Paul Ginns

6.4k citations
97 papers · 4.3k indexed · h-index 39

Impact in

Papers in

Paul Ginns

95 papers receiving 4.0k citations

Peers

Paul Ginns
Comparison fields: 5 of 140
  • Experimental and Cognitive Psychology 1.3k
  • Developmental and Educational Psychology 1.2k
  • Education 2.4k
  • Computer Science Applications 312
  • Social Psychology 888
Replace Leandro S. Almeida with:
Leandro S. Almeida Portugal
Tina Seidel Germany
Roger Säljö Sweden
David J. Shernoff United States
Diane L. Schallert United States
Kirsti Lonka Finland
Jon‐Chao Hong Taiwan
Erno Lehtinen Finland
Ruth Wylie United States
Wim Gijselaers Netherlands
Paul Ginns relative to Leandro S. Almeida Portugal Leandro S. Almeida's profile →
Citations per field
00.5×1.5×
Leandro S. Almeida · 1×
Citations per year

Countries citing papers authored by Paul Ginns

Since Specialization
Citations

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

Fields of papers citing papers by Paul Ginns

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20251
2 20250
3 20253
4 20250
5 20238
6 20233
7 20223
8 202227
9 202112
10 202015
11 202028
12 20189
13 201812
14 201798
15 20175
16 201529
17 201311
18 201144
19 2009144
20 2007192

About Paul Ginns

Paul Ginns is a scholar working on Experimental and Cognitive Psychology, Developmental and Educational Psychology, Education, Social Psychology and Safety Research, having authored 97 papers that have together received 4.3k indexed citations. Recurring topics across this work include Visual and Cognitive Learning Processes (26 papers), Evaluation of Teaching Practices (24 papers), Education, Achievement, and Giftedness (17 papers), Motivation and Self-Concept in Sports (15 papers), Parental Involvement in Education (9 papers), Innovative Teaching and Learning Methods (9 papers), Online and Blended Learning (8 papers) and Higher Education Research Studies (7 papers). The work is most often cited by research in Experimental and Cognitive Psychology (1.3k citations), Developmental and Educational Psychology (1.2k citations), Education (2.4k citations), Computer Science Applications (312 citations) and Social Psychology (888 citations). Paul Ginns has collaborated with scholars based in Australia, Hong Kong and United Kingdom. Frequent co-authors include Andrew J. Martin, Michael Prosser, Brad Papworth, Robert A. Ellis, Simon Barrie, Rebecca J. Collie, Keith Trigwell, Gregory Arief D. Liem, David Kember and Luke K. Fryer. Their work appears in journals such as Educational Psychology Review, Learning and Individual Differences, Educational Psychology, Learning and Instruction and Medical Teacher.

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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