Frank J. Lee

955 citations
26 papers · 581 indexed · h-index 12
Topics
Educational Games and Gamification (5 papers)Teaching and Learning Programming (4 papers)Human-Automation Interaction and Safety (4 papers)

In The Last Decade

Frank J. Lee

22 papers receiving 538 citations

Peers

Frank J. Lee
Comparison fields: 5 of 92
  • Cognitive Neuroscience 165
  • Artificial Intelligence 154
  • Social Psychology 127
  • Developmental and Educational Psychology 120
  • Experimental and Cognitive Psychology 107
Replace Doris M. Dehn with:
Doris M. Dehn Germany
Keith S. Jones United States
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Kun Yu Australia
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Citations per field
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Citations per year

Countries citing papers authored by Frank J. Lee

Since Specialization
Citations

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

Fields of papers citing papers by Frank J. Lee

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Frank J. Lee

This figure shows the co-authorship network connecting the top 25 collaborators of Frank J. Lee. A scholar is included among the top collaborators of Frank J. Lee 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 Frank J. Lee. Frank J. Lee 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
#WorkIndexed citations
1 0
2 0
3 11
4
Skyscraper Games: Designing Professional Development for Middle School Teachers to Promote Computational Thinking Using Custom Tools.
1
5 0
6 76
7 49
8
Neural Correlates of Computational Fluency Training with a Mobile Game: An Optical Brain Imaging Study.
1
9 2
10 6
11 21
12
Modeling Emotion: Arousal's Impact on Memory
20
13
Toward an ACT-R General Executive for Human Multitasking.
10
14
Modeling Effects of Age in Complex Tasks: A Case Study in Driving
16
15 25
16
Hide and Seek: Using Computational Cognitive Models to Develop and Test Autonomous Cognitive Agents for Complex and Dynamic Tasks
4
17 119
18 12
19 94
20 2

About Frank J. Lee

Frank J. Lee is a scholar working on Computer Science Applications, Developmental and Educational Psychology and Experimental and Cognitive Psychology, having authored 26 papers that have together received 581 indexed citations. Recurring topics across this work include Educational Games and Gamification (5 papers), Teaching and Learning Programming (4 papers) and Human-Automation Interaction and Safety (4 papers). The work is most often cited by research in General Decision Sciences (25 citations), Computer Science Applications (71 citations) and Human-Computer Interaction (65 citations). Frank J. Lee has collaborated with scholars based in United States, Türkiye and Taiwan. Frequent co-authors include Niels Taatgen, Dario D. Salvucci, John R. Anderson, Quincy Brown, Aroutis Foster, Murat Perit Çakır, Louis Kratz, Eric Chown, Matthew J. Smith and Janet Audrain‐McGovern. Their work appears in journals such as Journal of Neuroscience, Computers & Education and Cognitive Psychology.

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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