Grace C. Lin
Impact in
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- Visual perception and processing mechanisms
Papers in
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- Reading and Literacy Development 3
- Educational Games and Gamification 2
- Co-authors
- Julia Bársony (1 shared paper)Áttila Rácz (1 shared paper)Kirsten Prüfer (1 shared paper)Karen E. Adolph (1 shared paper)Carrie R. McDonald (1 shared paper)Kelly M. Leyden (1 shared paper)Joseph Kay (1 shared paper)Stephanie M. Reich (1 shared paper)
- Journals
- International Journal of Child-Computer Interaction (1 paper)Information and Learning Sciences (1 paper)Mind Brain and Education (1 paper)interactions (1 paper)Developmental Science (1 paper)
- Partner nations
- United StatesUnited KingdomAustralia
In The Last Decade
Grace C. Lin
18 papers receiving 397 citations
Peers
Comparison fields: 5 of 101
- Developmental and Educational Psychology 74
- Cognitive Neuroscience 91
- Human-Computer Interaction 23
- Applied Psychology 18
- Pathology and Forensic Medicine 58
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 21 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2000 | 116 | |
| 2 | 2008 | 77 | |
| 3 | 2016 | 38 | |
| 4 | 2019 | 35 | |
| 5 | 2014 | 24 | |
| 6 | 2023 | 19 | |
| 7 | 2018 | 19 | |
| 8 | 2023 | 15 | |
| 9 | 2022 | 10 | |
| 10 | 2022 | 10 | |
| 11 | 2022 | 8 | |
| 12 | 2023 | 8 | |
| 13 | 2019 | 6 | |
| 14 | 2021 | 6 | |
| 15 | 2023 | 5 | |
| 16 | 2024 | 3 | |
| 17 | 2024 | 2 | |
| 18 | 2024 | 1 | |
| 19 | 2025 | 0 | |
| 20 | 2025 | 0 |
About Grace C. Lin
Grace C. Lin is a scholar working on Developmental and Educational Psychology, Cognitive Neuroscience, Artificial Intelligence, Education and Statistics and Probability, having authored 21 papers that have together received 402 indexed citations. Recurring topics across this work include Cognitive and developmental aspects of mathematical skills (4 papers), Teaching and Learning Programming (3 papers), Reading and Literacy Development (3 papers), Innovative Human-Technology Interaction (3 papers), Educational Games and Gamification (2 papers), Impact of Technology on Adolescents (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 (74 citations), Cognitive Neuroscience (91 citations), Human-Computer Interaction (23 citations), Applied Psychology (18 citations) and Pathology and Forensic Medicine (58 citations). Grace C. Lin has collaborated with scholars based in United States, United Kingdom and Australia. Frequent co-authors include Julia Bársony, Áttila Rácz, Kirsten Prüfer, Karen E. Adolph, Carrie R. McDonald, Kelly M. Leyden, Joseph Kay, Stephanie M. Reich, Susanne M. Jaeggi and Geetha B. Ramani. Their work appears in journals such as International Journal of Child-Computer Interaction, Information and Learning Sciences, Mind Brain and Education, interactions and Developmental Science.
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.