Grace C. Lin
Impact in
- Cognitive Neuroscience top 10%
- Visual perception and processing mechanisms
Papers in
-
- Reading and Literacy Development 3
- Child and Animal Learning Development 2
-
- Child Development and Digital Technology 4
- Co-authors
- Julia Bársony (1 shared paper)Kirsten Prüfer (1 shared paper)Áttila Rácz (1 shared paper)Karen E. Adolph (1 shared paper)Joseph Kay (1 shared paper)Stephanie M. Reich (1 shared paper)Kelly M. Leyden (1 shared paper)Susanne M. Jaeggi (3 shared papers)
- Journals
- Mind Brain and Education (1 paper)International Journal of Child-Computer Interaction (1 paper)Frontiers in Psychiatry (1 paper)Brain and Language (1 paper)IEEE Transactions on Learning Technologies (1 paper)
- Partner nations
- United StatesUnited KingdomArgentina
In The Last Decade
Grace C. Lin
17 papers receiving 379 citations
Peers
Comparison fields: 5 of 104
- Developmental and Educational Psychology 69
- Cognitive Neuroscience 105
- Human-Computer Interaction 25
- Computer Science Applications 18
- Pathology and Forensic Medicine 60
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
| # | Work | ||
|---|---|---|---|
| 1 | 2000 | 116 | |
| 2 | 2008 | 77 | |
| 3 | 2016 | 37 | |
| 4 | 2019 | 33 | |
| 5 | 2014 | 23 | |
| 6 | 2018 | 17 | |
| 7 | 2023 | 16 | |
| 8 | 2023 | 14 | |
| 9 | 2022 | 10 | |
| 10 | 2022 | 9 | |
| 11 | 2023 | 7 | |
| 12 | 2022 | 6 | |
| 13 | 2019 | 6 | |
| 14 | 2021 | 5 | |
| 15 | 2023 | 3 | |
| 16 | 2024 | 3 | |
| 17 | 2024 | 1 | |
| 18 | 2024 | 0 | |
| 19 | The Roles of Language and Executive Function on Early Mathematics Among Emergent Bilinguals | 2018 | 0 |
About Grace C. Lin
Grace C. Lin is a scholar working on Developmental and Educational Psychology, Education, Cognitive Neuroscience, Statistics and Probability and Artificial Intelligence, having authored 19 papers that have together received 383 indexed citations. Recurring topics across this work include Child Development and Digital Technology (4 papers), Cognitive and developmental aspects of mathematical skills (4 papers), Reading and Literacy Development (3 papers), Teaching and Learning Programming (3 papers), Child and Animal Learning Development (2 papers), Child and Adolescent Psychosocial and Emotional Development (2 papers), Impact of Technology on Adolescents (2 papers) and Ethics and Social Impacts of AI (2 papers). The work is most often cited by research in Developmental and Educational Psychology (69 citations), Cognitive Neuroscience (105 citations), Human-Computer Interaction (25 citations), Computer Science Applications (18 citations) and Pathology and Forensic Medicine (60 citations). Grace C. Lin has collaborated with scholars based in United States, United Kingdom and Argentina. Frequent co-authors include Julia Bársony, Kirsten Prüfer, Áttila Rácz, Karen E. Adolph, Joseph Kay, Stephanie M. Reich, Kelly M. Leyden, Susanne M. Jaeggi, Carrie R. McDonald and Geetha B. Ramani. Their work appears in journals such as Mind Brain and Education, International Journal of Child-Computer Interaction, Frontiers in Psychiatry, Brain and Language and IEEE Transactions on Learning Technologies.
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.