Grace C. Lin
Impact in
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- Educational Games and Gamification
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- Visual perception and processing mechanisms
Papers in
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- Educational Games and Gamification 3
- Child and Animal Learning Development 2
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- Teaching and Learning Programming 3
- Co-authors
- Kirsten Prüfer (1 shared paper)Julia Bársony (1 shared paper)Áttila Rácz (1 shared paper)Karen E. Adolph (1 shared paper)Stephanie M. Reich (1 shared paper)Carrie R. McDonald (1 shared paper)Susanne M. Jaeggi (3 shared papers)Joseph Kay (1 shared paper)
- Journals
- Journal of Experimental Psychology Human Perception & Performance (1 paper)Brain and Language (1 paper)Contemporary Educational Psychology (1 paper)Reading and Writing (1 paper)British Journal of Educational Technology (1 paper)
- Partner nations
- United StatesUnited KingdomSpain
In The Last Decade
Grace C. Lin
20 papers receiving 449 citations
Peers
Comparison fields: 5 of 104
- Developmental and Educational Psychology 88
- Cognitive Neuroscience 96
- Computer Science Applications 27
- Pathology and Forensic Medicine 68
- Applied Psychology 19
Countries citing papers authored by Grace C. Lin
This map shows the geographic impact of Grace C. Lin'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 Grace C. Lin with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Grace C. Lin more than expected).
Fields of papers citing papers by Grace C. Lin
This network shows the impact of papers produced by Grace C. Lin. 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 Grace C. Lin. The network helps show where Grace C. Lin may publish in the future.
Co-authors
The 25 scholars most cited alongside Grace C. Lin, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 22 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2000 | 130 | |
| 2 | 2008 | 80 | |
| 3 | 2016 | 39 | |
| 4 | 2019 | 36 | |
| 5 | 2023 | 26 | |
| 6 | 2014 | 24 | |
| 7 | 2018 | 23 | |
| 8 | 2023 | 20 | |
| 9 | 2022 | 12 | |
| 10 | 2022 | 12 | |
| 11 | 2022 | 12 | |
| 12 | 2023 | 8 | |
| 13 | 2025 | 8 | |
| 14 | 2019 | 6 | |
| 15 | 2021 | 6 | |
| 16 | 2023 | 5 | |
| 17 | 2024 | 4 | |
| 18 | 2024 | 3 | |
| 19 | 2024 | 3 | |
| 20 | 2021 | 1 |
About Grace C. Lin
Grace C. Lin is a scholar working on Developmental and Educational Psychology, Computer Science Applications, Human-Computer Interaction, Cognitive Neuroscience and Statistics and Probability, having authored 22 papers that have together received 458 indexed citations. Recurring topics across this work include Cognitive and developmental aspects of mathematical skills (3 papers), Educational Games and Gamification (3 papers), Teaching and Learning Programming (3 papers), Innovative Human-Technology Interaction (3 papers), Child and Animal Learning Development (2 papers), Child Development and Digital Technology (2 papers), Digital Mental Health Interventions (2 papers) and AI in Service Interactions (2 papers). The work is most often cited by research in Developmental and Educational Psychology (88 citations), Cognitive Neuroscience (96 citations), Computer Science Applications (27 citations), Pathology and Forensic Medicine (68 citations) and Applied Psychology (19 citations). Grace C. Lin has collaborated with scholars based in United States, United Kingdom and Spain. Frequent co-authors include Kirsten Prüfer, Julia Bársony, Áttila Rácz, Karen E. Adolph, Stephanie M. Reich, Carrie R. McDonald, Susanne M. Jaeggi, Joseph Kay, Kelly M. Leyden and Yoon Jeon Kim. Their work appears in journals such as Journal of Experimental Psychology Human Perception & Performance, Brain and Language, Contemporary Educational Psychology, Reading and Writing and British Journal of Educational Technology.
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.