Ginny Smith

469 citations
16 papers · 342 · h-index 9

Impact in

Papers in

Ginny Smith

16 papers receiving 327 citations

Peers

Ginny Smith
Comparison fields: 5 of 71
  • Computer Science Applications 90
  • Developmental and Educational Psychology 181
  • Experimental and Cognitive Psychology 55
  • Human-Computer Interaction 13
  • Artificial Intelligence 64
Replace Gabriela Rodríguez-Aflecht with:
Gabriela Rodríguez-Aflecht Finland
Daryn A. Dever United States
Andrew MacNamara United States
Shashank Pawar United States
Jingwei Li United States
Megan Wiedbusch United States
Franz Wortha Germany
Javad Zare Iran
Amber Chauncey Strain United States
Hanieh Shafiee Rad Iran
Ginny Smith relative to Gabriela Rodríguez-Aflecht Finland Gabriela Rodríguez-Aflecht's profile →
Citations per field
00.5×1.5×2.4×
Gabriela Rodríguez-Aflecht · 1×
Citations per year

Countries citing papers authored by Ginny Smith

Since Specialization
Citations

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

Fields of papers citing papers by Ginny Smith

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 22 scholars most cited alongside Ginny Smith, 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 Ginny Smith Line = papers co-authored together Ginny Smith links everyone, so they are left out of the graph.

All Works

16 of 16 papers shown
#Work
1 202094
2 200452
3 202141
4 202031
5 202127
6 202020
7 202218
8 202117
9 201910
10 20228
11
Designing and Validating a Stealth Assessment for Calculus Competencies.
20197
12 20236
13 19865
14 20213
15 20082
16 20221

About Ginny Smith

Ginny Smith is a scholar working on Developmental and Educational Psychology, Computer Science Applications, Sociology and Political Science, Experimental and Cognitive Psychology and Artificial Intelligence, having authored 16 papers that have together received 342 indexed citations. Recurring topics across this work include Educational Games and Gamification (11 papers), Intelligent Tutoring Systems and Adaptive Learning (3 papers), Innovative Teaching and Learning Methods (3 papers), Teaching and Learning Programming (3 papers), Digital Games and Media (3 papers), Motivation and Self-Concept in Sports (2 papers), Education, Achievement, and Giftedness (2 papers) and Online Learning and Analytics (2 papers). The work is most often cited by research in Computer Science Applications (90 citations), Developmental and Educational Psychology (181 citations), Experimental and Cognitive Psychology (55 citations), Human-Computer Interaction (13 citations) and Artificial Intelligence (64 citations). Ginny Smith has collaborated with scholars based in United States and Spain. Frequent co-authors include Valerie J. Shute, Seyedahmad Rahimi, Chih‐Pu Dai, E. Ashby Plant, Kristen C. Kling, Zhichun Liu, Russell G. Almond, Cristina Alonso‐Fernández, Chen Sun and Fengfeng Ke. Their work appears in journals such as Educational Technology Research and Development, Computers & Education, International Journal of Artificial Intelligence in Education, Sex Roles and Journal of Computer Assisted Learning.

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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