Naoki Saiwaki
- Social Psychology top 5%
- Cognitive Neuroscience top 10%
- Artificial Intelligence top 10%
- Human-Computer Interaction top 5%
- Control and Systems Engineering top 10%
- Co-authors
- Hiroshi IshiguroTakayuki KandaRyuya SatoRaveendran ParamesranRamaswamy PalaniappanS. NishidaMasashi KonyoSatoshı Tadokoro
- Topics
- EEG and Brain-Computer Interfaces (9 papers)Neural Networks and Applications (5 papers)Robotics and Automated Systems (4 papers)
- Journals
- IEEE Transactions on RoboticsIEEE Transactions on Neural Systems and Rehabilitation EngineeringInternational Journal of Social Robotics
- Partner nations
- JapanMalaysiaUnited States
In The Last Decade
Naoki Saiwaki
24 papers receiving 531 citations
Peers
Comparison fields: 5 of 74
- Social Psychology 273
- Cognitive Neuroscience 243
- Artificial Intelligence 184
- Human-Computer Interaction 114
- Control and Systems Engineering 85
Countries citing papers authored by Naoki Saiwaki
This map shows the geographic impact of Naoki Saiwaki'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 Naoki Saiwaki with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Naoki Saiwaki more than expected).
Fields of papers citing papers by Naoki Saiwaki
This network shows the impact of papers produced by Naoki Saiwaki. 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 Naoki Saiwaki. The network helps show where Naoki Saiwaki may publish in the future.
Co-authorship network of co-authors of Naoki Saiwaki
This figure shows the co-authorship network connecting the top 25 collaborators of Naoki Saiwaki. A scholar is included among the top collaborators of Naoki Saiwaki 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 Naoki Saiwaki. Naoki Saiwaki 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 | 2 | |
| 3 | 1 | |
| 4 | 0 | |
| 5 | 0 | |
| 6 | Evaluation of Waist-Mounted Camera for Object-Finding in Everyday Life | 0 |
| 7 | 17 | |
| 8 | 22 | |
| 9 | 85 | |
| 10 | 1 | |
| 11 | 95 | |
| 12 | 1 | |
| 13 | 2 | |
| 14 | 6 | |
| 15 | 0 | |
| 16 | 3 | |
| 17 | Interactive Interfaces to Detect Conceptual Difference for Knowledge Acquisition. | 0 |
| 18 | 2 | |
| 19 | 2 | |
| 20 | Cooperative Musical Partner System Using Tension - Parameter : JASPER (Jam Session Partner) | 6 |
About Naoki Saiwaki
Naoki Saiwaki is a scholar working on Signal Processing, Cognitive Neuroscience and Social Psychology, having authored 39 papers that have together received 562 indexed citations. Recurring topics across this work include EEG and Brain-Computer Interfaces (9 papers), Neural Networks and Applications (5 papers) and Robotics and Automated Systems (4 papers). The work is most often cited by research in Human-Computer Interaction (114 citations), Social Psychology (273 citations) and Cognitive Neuroscience (243 citations). Naoki Saiwaki has collaborated with scholars based in Japan, Malaysia and United States. Frequent co-authors include Hiroshi Ishiguro, Takayuki Kanda, Ryuya Sato, Raveendran Paramesran, Ramaswamy Palaniappan, S. Nishida, Masashi Konyo, Satoshı Tadokoro, Akihiko Yoshida and Ryoma Sato. Their work appears in journals such as IEEE Transactions on Robotics, IEEE Transactions on Neural Systems and Rehabilitation Engineering and International Journal of Social Robotics.
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.