Amanda Dickes

612 citations
17 papers · 471 · h-index 11

Impact in

Papers in

Amanda Dickes

17 papers receiving 455 citations

Peers

Amanda Dickes
Comparison fields: 5 of 70
  • Computer Science Applications 307
  • Developmental and Educational Psychology 245
  • Media Technology 48
  • Human Factors and Ergonomics 11
  • Education 121
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Amanda Dickes relative to Amy Voss Farris United States Amy Voss Farris's profile →
Citations per field
00.5×2.6×
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Citations per year

Countries citing papers authored by Amanda Dickes

Since Specialization
Citations

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

Fields of papers citing papers by Amanda Dickes

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 12 scholars most cited alongside Amanda Dickes, 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 Amanda Dickes Line = papers co-authored together Amanda Dickes links everyone, so they are left out of the graph.

All Works

17 of 17 papers shown
#Work
1 201693
2 201268
3 201665
4 201859
5 201544
6 202035
7 202129
8 201921
9 201918
10 201211
11 201910
12 20165
13
Grounding computational abstractions in scientific experience
20204
14
Development of Disciplined Interpretation Using Computational Modeling in the Elementary Science Classroom
20164
15 20192
16 20212
17
Elementary teacher perspectives on a blended computational modeling and ecosystem science curriculum
20201

About Amanda Dickes

Amanda Dickes is a scholar working on Computer Science Applications, Developmental and Educational Psychology, Education, Information Systems and Artificial Intelligence, having authored 17 papers that have together received 471 indexed citations. Recurring topics across this work include Teaching and Learning Programming (10 papers), Innovative Teaching and Learning Methods (8 papers), Educational Games and Gamification (4 papers), Species Distribution and Climate Change (2 papers), Science Education and Pedagogy (2 papers), Evolution and Genetic Dynamics (2 papers), Mathematics Education and Teaching Techniques (2 papers) and Conservation, Ecology, Wildlife Education (1 paper). The work is most often cited by research in Computer Science Applications (307 citations), Developmental and Educational Psychology (245 citations), Media Technology (48 citations), Human Factors and Ergonomics (11 citations) and Education (121 citations). Amanda Dickes has collaborated with scholars based in United States and Canada. Frequent co-authors include Pratim Sengupta, Amy Voss Farris, Satabdi Basu, Gautam Biswas, John S. Kinnebrew, Douglas B. Clark, Chris Dede, Shari Metcalf, Karen Brennan and Amy M. Kamarainen. Their work appears in journals such as Research and Practice in Technology Enhanced Learning, British Journal of Educational Technology, Science & Education, Science Education and Communications of the ACM.

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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