Naoko Tosa
- Experimental and Cognitive Psychology top 10%
- Artificial Intelligence top 10%
- Computer Vision and Pattern Recognition top 10%
- Signal Processing top 10%
- Social Psychology
- Co-authors
- Ryohei NakatsuJoy NicholsonTakeshi YamadaTakashi KusumiMichihiko MinohLiang ZhaoKosuke OgataXuefeng Liang
- Topics
- Video Analysis and Summarization (14 papers)Artificial Intelligence in Games (12 papers)Human Motion and Animation (12 papers)
- Journals
- SHILAP Revista de lepidopterologíaKnowledge-Based SystemsLeonardo
- Partner nations
- JapanSingaporeUnited States
In The Last Decade
Naoko Tosa
51 papers receiving 265 citations
Peers
Comparison fields: 5 of 51
- Experimental and Cognitive Psychology 115
- Artificial Intelligence 110
- Computer Vision and Pattern Recognition 92
- Signal Processing 64
- Social Psychology 63
Countries citing papers authored by Naoko Tosa
This map shows the geographic impact of Naoko Tosa'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 Naoko Tosa with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Naoko Tosa more than expected).
Fields of papers citing papers by Naoko Tosa
This network shows the impact of papers produced by Naoko Tosa. 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 Naoko Tosa. The network helps show where Naoko Tosa may publish in the future.
Co-authorship network of co-authors of Naoko Tosa
This figure shows the co-authorship network connecting the top 25 collaborators of Naoko Tosa. A scholar is included among the top collaborators of Naoko Tosa 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 Naoko Tosa. Naoko Tosa is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 1 | |
| 3 | 5 | |
| 4 | 2 | |
| 5 | 1 | |
| 6 | 0 | |
| 7 | 1 | |
| 8 | 4 | |
| 9 | 4 | |
| 10 | 0 | |
| 11 | 1 | |
| 12 | 5 | |
| 13 | Intuitive Storytelling Interaction: ZENetic Computer. | 3 |
| 14 | 16 | |
| 15 | 3 | |
| 16 | 4 | |
| 17 | Construction of an Interactive Movie System for Multi-person Participation | 4 |
| 18 | 8 | |
| 19 | Toward the Realization of Interactive Movies : Inter Communication Theater : Concept and System | 4 |
| 20 | 2 |
About Naoko Tosa
Naoko Tosa is a scholar working on Computer Graphics and Computer-Aided Design, Computer Vision and Pattern Recognition and Human-Computer Interaction, having authored 60 papers that have together received 309 indexed citations. Recurring topics across this work include Video Analysis and Summarization (14 papers), Artificial Intelligence in Games (12 papers) and Human Motion and Animation (12 papers). The work is most often cited by research in Human-Computer Interaction (61 citations), Experimental and Cognitive Psychology (115 citations) and Signal Processing (64 citations). Naoko Tosa has collaborated with scholars based in Japan, Singapore and United States. Frequent co-authors include Ryohei Nakatsu, Joy Nicholson, Takeshi Yamada, Takashi Kusumi, Michihiko Minoh, Liang Zhao, Kosuke Ogata, Xuefeng Liang, Sunao Iwaki and Naoki Nishikawa. Their work appears in journals such as SHILAP Revista de lepidopterología, Knowledge-Based Systems and Leonardo.
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.