Kazuhisa Seta
- Artificial Intelligence top 10%
- Developmental and Educational Psychology
- Information Systems top 10%
- Computer Science Applications top 5%
- Education
- Co-authors
- Yuki HayashiMitsuru IkedaRiichiro MizoguchiMotohide UmanoYuta MikiTatsuya HashimotoHiroshi TsujiNguyen-Thinh Le
- Topics
- Innovative Teaching and Learning Methods (19 papers)Intelligent Tutoring Systems and Adaptive Learning (10 papers)Speech and dialogue systems (6 papers)
In The Last Decade
Kazuhisa Seta
44 papers receiving 239 citations
Peers
Comparison fields: 5 of 51
- Artificial Intelligence 148
- Developmental and Educational Psychology 58
- Information Systems 56
- Computer Science Applications 50
- Education 46
Countries citing papers authored by Kazuhisa Seta
This map shows the geographic impact of Kazuhisa Seta'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 Kazuhisa Seta with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Kazuhisa Seta more than expected).
Fields of papers citing papers by Kazuhisa Seta
This network shows the impact of papers produced by Kazuhisa Seta. 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 Kazuhisa Seta. The network helps show where Kazuhisa Seta may publish in the future.
Co-authorship network of co-authors of Kazuhisa Seta
This figure shows the co-authorship network connecting the top 25 collaborators of Kazuhisa Seta. A scholar is included among the top collaborators of Kazuhisa Seta based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Kazuhisa Seta. Kazuhisa Seta is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 0 | |
| 3 | 2 | |
| 4 | 1 | |
| 5 | Conversational Agents for Learning Support | 0 |
| 6 | 70 | |
| 7 | 1 | |
| 8 | 1 | |
| 9 | 3 | |
| 10 | A Method for Generating History Questions using LOD and Its Evaluation | 2 |
| 11 | 54 | |
| 12 | 1 | |
| 13 | 1 | |
| 14 | 1 | |
| 15 | 0 | |
| 16 | Guidance Generation for Facilitating Meta-Cognitive Learning through Presentation Task | 1 |
| 17 | An ontology based reflection support system to encourage learning from mistakes | 1 |
| 18 | 1 | |
| 19 | 2 | |
| 20 | Task ontology makes it easier to use authoring tools | 20 |
About Kazuhisa Seta
Kazuhisa Seta is a scholar working on Developmental and Educational Psychology, Artificial Intelligence and Computer Science Applications, having authored 53 papers that have together received 259 indexed citations. Recurring topics across this work include Innovative Teaching and Learning Methods (19 papers), Intelligent Tutoring Systems and Adaptive Learning (10 papers) and Speech and dialogue systems (6 papers). The work is most often cited by research in Computer Science Applications (50 citations), Health Informatics (11 citations) and Artificial Intelligence (148 citations). Kazuhisa Seta has collaborated with scholars based in Japan and Germany. Frequent co-authors include Yuki Hayashi, Mitsuru Ikeda, Riichiro Mizoguchi, Motohide Umano, Yuta Miki, Tatsuya Hashimoto, Hiroshi Tsuji, Nguyen-Thinh Le, Niels Pinkwart and Minoru Ikeda. Their work appears in journals such as IEEE Transactions on Learning Technologies, International Journal of Artificial Intelligence in Education and Interactive Technology and Smart Education.
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.