Gino Camp

1.4k citations
32 papers · 964 · h-index 16

Impact in

Papers in

Gino Camp

32 papers receiving 912 citations

Peers

Gino Camp
Comparison fields: 5 of 62
  • Developmental and Educational Psychology 532
  • Experimental and Cognitive Psychology 274
  • Cognitive Neuroscience 319
  • Education 305
  • Computer Science Applications 47
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Julian Roelle Germany
Christopher A. Rowland United States
Janell R. Blunt United States
Matthew Hays United States
Joseph P. Magliano United States
Michael J. Serra United States
Mary A. Pyc United States
Chunliang Yang China
Mariëtte H. van Loon Switzerland
Ouhao Chen Australia
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Citations per field
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Citations per year

Countries citing papers authored by Gino Camp

Since Specialization
Citations

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

Fields of papers citing papers by Gino Camp

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 32 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2016179
2 2011140
3 200197
4 200772
5 201352
6 200152
7 201942
8 200541
9 200936
10 201631
11 201231
12 201427
13 201325
14 201221
15 201821
16 201817
17 202513
18 201413
19 201112
20 202210

About Gino Camp

Gino Camp is a scholar working on Developmental and Educational Psychology, Cognitive Neuroscience, Artificial Intelligence, Experimental and Cognitive Psychology and Education, having authored 32 papers that have together received 964 indexed citations. Recurring topics across this work include Memory Processes and Influences (13 papers), Educational Strategies and Epistemologies (11 papers), Intelligent Tutoring Systems and Adaptive Learning (9 papers), Visual and Cognitive Learning Processes (6 papers), Innovative Teaching and Learning Methods (5 papers), Student Assessment and Feedback (4 papers), Reading and Literacy Development (4 papers) and Motivation and Self-Concept in Sports (3 papers). The work is most often cited by research in Developmental and Educational Psychology (532 citations), Experimental and Cognitive Psychology (274 citations), Cognitive Neuroscience (319 citations), Education (305 citations) and Computer Science Applications (47 citations). Gino Camp has collaborated with scholars based in Netherlands, Spain and Belgium. Frequent co-authors include Anique B. H. de Bruin, Henk G. Schmidt, Diane Pecher, Fred Paas, Remy M. J. P. Rikers, Peter P. J. L. Verkoeijen, Marijke Kral, P.R.J. Simons, Rob Martens and Joshua S. Redford. Their work appears in journals such as Applied Cognitive Psychology, Journal of Educational Psychology, Computers & Education, Journal of Experimental Psychology Learning Memory and Cognition and Journal of Applied Research in Memory and Cognition.

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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