Grace C. Lin

564 citations
19 papers · 383 indexed · h-index 10
Topics
Cognitive and developmental aspects of mathematical skills (4 papers)Child Development and Digital Technology (4 papers)Teaching and Learning Programming (3 papers)

In The Last Decade

Grace C. Lin

17 papers receiving 379 citations

Peers

Grace C. Lin
Comparison fields: 5 of 104
  • Cognitive Neuroscience 105
  • Developmental and Educational Psychology 69
  • Molecular Biology 65
  • Pathology and Forensic Medicine 60
  • Social Psychology 54
Replace Kelly Dickerson with:
Kelly Dickerson United States
Patrícia Martinková Czechia
Michael S. Vendetti United States
Karin M. Butler United States
Marie Carroll Australia
Krisztina Tóth Hungary
Gabrielle Cliff Hodges United Kingdom
Kristian Lange Germany
M. O. Scase United Kingdom
Kyoung Whan Choe United States
Grace C. Lin relative to Kelly Dickerson United States Kelly Dickerson's profile →
Citations per field
00.5×10.8×
Kelly Dickerson · 1×
Citations per year

Countries citing papers authored by Grace C. Lin

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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-authorship network of co-authors of Grace C. Lin

This figure shows the co-authorship network connecting the top 25 collaborators of Grace C. Lin. A scholar is included among the top collaborators of Grace C. Lin 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 Grace C. Lin. Grace C. Lin is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

19 of 19 papers shown
#WorkIndexed citations
1 0
2 1
3 3
4 3
5 14
6 7
7 16
8 9
9 6
10 10
11 5
12 6
13 33
14 17
15
The Roles of Language and Executive Function on Early Mathematics Among Emergent Bilinguals
0
16 37
17 23
18 77
19 116

About Grace C. Lin

Grace C. Lin is a scholar working on Developmental and Educational Psychology, Computer Science Applications and Statistics and Probability, having authored 19 papers that have together received 383 indexed citations. Recurring topics across this work include Cognitive and developmental aspects of mathematical skills (4 papers), Child Development and Digital Technology (4 papers) and Teaching and Learning Programming (3 papers). The work is most often cited by research in Developmental and Educational Psychology (69 citations), Cognitive Neuroscience (105 citations) and Human-Computer Interaction (25 citations). Grace C. Lin has collaborated with scholars based in United States, Argentina and United Kingdom. Frequent co-authors include Julia Bársony, Kirsten Prüfer, Áttila Rácz, Karen E. Adolph, Stephanie M. Reich, Joseph Kay, Carrie R. McDonald, Susanne M. Jaeggi, Kelly M. Leyden and Geetha B. Ramani. Their work appears in journals such as Journal of Biological Chemistry, SHILAP Revista de lepidopterología and Journal of Experimental Psychology Human Perception & Performance.

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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