Toby Dragon

895 citations
33 papers · 763 · h-index 11

Impact in

Papers in

Toby Dragon

33 papers receiving 704 citations

Peers

Toby Dragon
Comparison fields: 5 of 57
  • Computer Science Applications 360
  • Developmental and Educational Psychology 396
  • Artificial Intelligence 383
  • Human-Computer Interaction 58
  • Experimental and Cognitive Psychology 100
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Citations per field
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Citations per year

Countries citing papers authored by Toby Dragon

Since Specialization
Citations

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

Fields of papers citing papers by Toby Dragon

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Toby Dragon, 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 Toby Dragon Line = papers co-authored together Toby Dragon 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 2009313
2
Repairing Disengagement With Non-Invasive Interventions
2007112
3 200869
4 201343
5 200631
6 201526
7 200321
8 201719
9 201016
10 200316
11
Critical Thinking Environments for Science Education
200514
12 200910
13 20169
14 20129
15 20098
16 20128
17 20157
18
Evaluating Inquiry Learning Through Recognition-Based Tasks
20055
19
Collaborative Learning in Facebook: Can Argument Structure Facilitate Academic Opinion Change?
20134
20 20134

About Toby Dragon

Toby Dragon is a scholar working on Developmental and Educational Psychology, Artificial Intelligence, Education, Computer Science Applications and Communication, having authored 33 papers that have together received 763 indexed citations. Recurring topics across this work include Innovative Teaching and Learning Methods (18 papers), Intelligent Tutoring Systems and Adaptive Learning (9 papers), Educational Games and Gamification (6 papers), Teaching and Learning Programming (5 papers), Online and Blended Learning (4 papers), Wikis in Education and Collaboration (4 papers), Educational and Psychological Assessments (4 papers) and Software Testing and Debugging Techniques (4 papers). The work is most often cited by research in Computer Science Applications (360 citations), Developmental and Educational Psychology (396 citations), Artificial Intelligence (383 citations), Human-Computer Interaction (58 citations) and Experimental and Cognitive Psychology (100 citations). Toby Dragon has collaborated with scholars based in United States, Germany and United Kingdom. Frequent co-authors include Beverly Park Woolf, Ivon Arroyo, Winslow Burleson, David G. Cooper, Rosalind W. Picard, Manolis Mavrikis, Tom Murray, Rana el Kaliouby, Sridhar Mahadevan and Andrew G. Barto. Their work appears in journals such as Lecture notes in computer science, IEEE Transactions on Learning Technologies, International Journal of Computer-Supported Collaborative Learning, International Journal of Learning Technology and Frontiers in artificial intelligence and applications.

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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