Naomi Miyake
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- Innovative Teaching and Learning Methods 28
- Educational Strategies and Epistemologies 3
- Human-Computer Interaction top 2%
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- Open Education and E-Learning 4
- Education top 2%
- Online and Blended Learning 9
- Human Factors and Ergonomics top 5%
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- Robotics and Automated Systems 6
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- Visual and Cognitive Learning Processes 4
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- Intelligent Tutoring Systems and Adaptive Learning 4
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- Social Robot Interaction and HRI 3
Naomi Miyake
43 papers receiving 929 citations
Peers
Comparison fields: 5 of 96
- Developmental and Educational Psychology 534
- Human-Computer Interaction 162
- Computer Science Applications 125
- Education 437
- Human Factors and Ergonomics 34
Countries citing papers authored by Naomi Miyake
This map shows the geographic impact of Naomi Miyake'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 Naomi Miyake with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Naomi Miyake more than expected).
Fields of papers citing papers by Naomi Miyake
This network shows the impact of papers produced by Naomi Miyake. 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 Naomi Miyake. The network helps show where Naomi Miyake may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Naomi Miyake, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | New Developments of the Learning Sciences:Turning Sciences of Learning into Practice | 2014 | 1 |
| 2 | Are CSCL and learning sciences research relevant to large-scale educational reform? | 2013 | 3 |
| 3 | Effects of Robots' Revoicing on Preparation for Future Learning. | 2013 | 4 |
| 4 | 2013 | 1 | |
| 5 | Conceptual Change through Socially Constructive Interaction in the Classroom | 2012 | 3 |
| 6 | 2012 | 6 | |
| 7 | Robots as learning partners in collaborative learning research. | 2012 | 0 |
| 8 | Robotics and Emotion | 2012 | 1 |
| 9 | 2012 | 1 | |
| 10 | Reflective practice on online collaborative learning and knowledge building in campus-based teacher education courses | 2011 | 1 |
| 11 | 2011 | 4 | |
| 12 | Socially Constructive Interaction for Fostering Conceptual Change | 2011 | 4 |
| 13 | 2011 | 2 | |
| 14 | 2011 | 6 | |
| 15 | 2007 | 7 | |
| 16 | 2006 | 4 | |
| 17 | Learning from lectures for comprehension | 2004 | 4 |
| 18 | 2002 | 90 | |
| 19 | Cognitive Science and the Learning Sciences | 2002 | 0 |
| 20 | Multimedia groupware: computer and video fusion approach to open shared workspace | 1994 | 1 |
About Naomi Miyake
Naomi Miyake is a scholar working on Developmental and Educational Psychology, Computer Science Applications and Education, having authored 47 papers that have together received 1.1k indexed citations. Recurring topics across this work include Innovative Teaching and Learning Methods (28 papers), Online and Blended Learning (9 papers), Robotics and Automated Systems (6 papers), Visual and Cognitive Learning Processes (4 papers), Open Education and E-Learning (4 papers), Intelligent Tutoring Systems and Adaptive Learning (4 papers), Social Robot Interaction and HRI (3 papers) and Educational Strategies and Epistemologies (3 papers). The work is most often cited by research in Developmental and Educational Psychology (534 citations), Human-Computer Interaction (162 citations) and Computer Science Applications (125 citations). Naomi Miyake has collaborated with scholars based in Japan, United States and Hong Kong. Frequent co-authors include Donald A. Norman, Elizabeth A. Davis, Hiroshi Ishii, Moshe-Ishay Cohen, James A. Levin, Giyoo Hatano, W. Patrick Dickson, Robert D. Hess, Hiroshi Azuma and Margaret Riel. Their work appears in journals such as Child Development, Communications of the ACM and Cognition.
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.