Daisy Rutstein

837 citations
29 papers · 376 · h-index 12

Impact in

Papers in

Daisy Rutstein

26 papers receiving 359 citations

Peers

Daisy Rutstein
Comparison fields: 5 of 70
  • Computer Science Applications 165
  • Developmental and Educational Psychology 153
  • Education 153
  • Software 16
  • Media Technology 32
Replace Volkan Kukul with:
Volkan Kukul Türkiye
Qiang Hao United States
Tatjana Jevsikova Lithuania
Jonas Boustedt Sweden
George Gadanidis Canada
Jason Zagami Australia
Nilüfer Atman Uslu Türkiye
Kate Highfield Australia
Amanda Wilson United States
Yuen-kuang Liao Taiwan
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Citations per field
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Citations per year

Countries citing papers authored by Daisy Rutstein

Since Specialization
Citations

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

Fields of papers citing papers by Daisy Rutstein

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Daisy Rutstein, 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 Daisy Rutstein Line = papers co-authored together Daisy Rutstein links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 29 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Simulations for STEM learning: Systematic review and meta-analysis
201497
2 201341
3 202126
4 202123
5 201723
6 201720
7 201820
8 202017
9 201617
10 200815
11 201915
12 202011
13
Learning with STEM Simulations in the Classroom: Findings and Trends from a Meta-Analysis.
201610
14
A Bayes net approach to modeling learning progressions and task performances
20098
15
A Bayesian Network Approach to Modeling Learning Progressions and Task Performance. CRESST Report 776.
20104
16 20144
17 20214
18
Assessing Model-Based Reasoning using Evidence- Centered Design : A Suite of Research-Based Design Patterns
20174
19 20224
20 20194

About Daisy Rutstein

Daisy Rutstein is a scholar working on Computer Science Applications, Developmental and Educational Psychology, Education, Computer Networks and Communications and Artificial Intelligence, having authored 29 papers that have together received 376 indexed citations. Recurring topics across this work include Teaching and Learning Programming (14 papers), Educational Games and Gamification (6 papers), Innovative Teaching and Learning Methods (6 papers), Educational Research and Pedagogy (4 papers), Software Testing and Debugging Techniques (4 papers), Gender and Technology in Education (3 papers), Intelligent Tutoring Systems and Adaptive Learning (3 papers) and Genetics, Bioinformatics, and Biomedical Research (3 papers). The work is most often cited by research in Computer Science Applications (165 citations), Developmental and Educational Psychology (153 citations), Education (153 citations), Software (16 citations) and Media Technology (32 citations). Daisy Rutstein has collaborated with scholars based in United States and Canada. Frequent co-authors include Geneva D. Haertel, Cynthia D’Angelo, Christopher Harris, R Bernard, Marie Bienkowski, Eugene Borokhovski, Satabdi Basu, Robert J. Mislevy, Linda Shear and Steven McGee. Their work appears in journals such as Computer Science Education, Educational Measurement Issues and Practice, Educational and Psychological Measurement, International Journal of Testing and AERA Open.

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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