Amy Eguchi

56 papers receiving 1.0k citations

Amy Eguchi's Hit Papers

Contextualizing AI Education for K-12 Students to Enhance Their Learning of AI Literacy Through Culturally Responsive Approaches 2021 · 111 citations
1110+1+3Years since publication255075100

Peers

Amy Eguchi
Comparison fields: 5 of 77
  • Computer Science Applications 854
  • Health Informatics 25
  • Media Technology 139
  • Developmental and Educational Psychology 180
  • Software 48
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Muhsin Menekşe United States
Fabiane Barreto Vavassori Benitti Brazil
Baichang Zhong China
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António José Mendes Portugal
Rebecca Fiebrink United Kingdom
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Citations per year

Countries citing papers authored by Amy Eguchi

Since Specialization
Citations

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

Fields of papers citing papers by Amy Eguchi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 24 scholars most cited alongside Amy Eguchi, 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 Amy Eguchi Line = papers co-authored together Amy Eguchi links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 68 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2015185
2 2014148
3
Contextualizing AI Education for K-12 Students to Enhance Their Learning of AI Literacy Through Culturally Responsive Approaches
Hit paper breakdown →
2021111
4 200375
5
What is Educational Robotics? Theories behind it and practical implementation
201069
6 201768
7 200452
8 201245
9 201536
10
Educational Robotics for Elementary School Classroom
200733
11 201733
12 200532
13
Computational Thinking with Educational Robotics
201618
14 201516
15
Learning Experience Through RoboCupJunior: Promoting STEM Education and 21st Century Skills with Robotics Competition
201415
16
Learning while teaching robotics
200413
17 202113
18 202412
19 201810
20 20139

About Amy Eguchi

Amy Eguchi is a scholar working on Computer Science Applications, Control and Systems Engineering, Mechanical Engineering, Media Technology and Artificial Intelligence, having authored 68 papers that have together received 1.1k indexed citations. Recurring topics across this work include Teaching and Learning Programming (51 papers), Robotics and Automated Systems (17 papers), Mechatronics Education and Applications (14 papers), Experimental Learning in Engineering (13 papers), Educational Games and Gamification (7 papers), Social Robot Interaction and HRI (7 papers), Educational Robotics and Engineering (6 papers) and Biomedical and Engineering Education (6 papers). The work is most often cited by research in Computer Science Applications (854 citations), Health Informatics (25 citations), Media Technology (139 citations), Developmental and Educational Psychology (180 citations) and Software (48 citations). Amy Eguchi has collaborated with scholars based in United States, Japan and United Kingdom. Frequent co-authors include Elizabeth Sklar, Hiroyuki Okada, Jeff Johnson, R. S. Goldman, Lúıs Almeida, Jeffrey Too Chuan Tan, Nicky J. Hughes, Luca Iocchi, Adam Jacoff and Monica Sweet. Their work appears in journals such as Human-Computer Interaction, Robotics and Autonomous Systems, Journal of Cognition and Development, Lecture notes in computer science and KI - Künstliche Intelligenz.

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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