Dixie Ching

488 citations
14 papers · 386 · h-index 8

Impact in

Papers in

Dixie Ching

13 papers receiving 337 citations

Peers

Dixie Ching
Comparison fields: 5 of 96
  • Computer Science Applications 110
  • Neurology 42
  • Developmental and Educational Psychology 57
  • Cell Biology 50
  • Gender Studies 29
Replace Emily Carolyn Johnson with:
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Citations per field
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Citations per year

Countries citing papers authored by Dixie Ching

Since Specialization
Citations

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

Fields of papers citing papers by Dixie Ching

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Dixie Ching. 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 Dixie Ching. The network helps show where Dixie Ching may publish in the future.

Co-authors

The 23 scholars most cited alongside Dixie Ching, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Dixie Ching Line = papers co-authored together Dixie Ching links everyone, so they are left out of the graph.

All Works

14 of 14 papers shown
#Work
1 2017100
2 199789
3 199954
4 199954
5 201623
6 200919
7
The rise of the super experiment
201213
8 201311
9
"Battleship Numberline": A Digital Game for Improving Estimation Accuracy on Fraction Number Lines.
20118
10 20126
11 20164
12
When a console game becomes CSCL: Play' participatory learning and 8-bit home computing in India
20112
13 20172
14
"Now I Can Actually Do What I Want": Social Learning Ecologies Supporting Youth Pathways in Digital Media Making.
20161

About Dixie Ching

Dixie Ching is a scholar working on Computer Science Applications, Education, Information Systems, Neurology and Statistics and Probability, having authored 14 papers that have together received 386 indexed citations. Recurring topics across this work include ICT in Developing Communities (4 papers), Child Development and Digital Technology (3 papers), Teaching and Learning Programming (3 papers), Innovative Teaching and Learning Methods (2 papers), Statistics Education and Methodologies (2 papers), Barrier Structure and Function Studies (2 papers), Green IT and Sustainability (1 paper) and Synthesis and bioactivity of alkaloids (1 paper). The work is most often cited by research in Computer Science Applications (110 citations), Neurology (42 citations), Developmental and Educational Psychology (57 citations), Cell Biology (50 citations) and Gender Studies (29 citations). Dixie Ching has collaborated with scholars based in United States, India and Guam. Frequent co-authors include Rafi Santo, Sara E. Vogel, Gary L. Firestone, Vivian W.Y. Wong, Yi Guan, Pierre D. McCrea, Paul L. Woo, Marı́a J. Caloca, Peter M. Blumberg and Rama Modali. Their work appears in journals such as Journal of Biological Chemistry, Cultural Studies of Science Education, On the Horizon The International Journal of Learning Futures, Computer Supported Collaborative Learning and Society for Research on Educational Effectiveness.

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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