Midori Sugaya
- Social Psychology
- Computer Vision and Pattern Recognition
- Computer Networks and Communications
- Cognitive Neuroscience
- Artificial Intelligence
- Co-authors
- Tatsuo NakajimaKei SuzukiY. MatsubaraHideharu AmanoTakeshi OhkawaIrini GiannopuluChen FengYuki Ohno
- Topics
- EEG and Brain-Computer Interfaces (13 papers)Real-Time Systems Scheduling (12 papers)Emotion and Mood Recognition (12 papers)
- Partner nations
- JapanUnited StatesIndia
In The Last Decade
Midori Sugaya
54 papers receiving 255 citations
Peers
Comparison fields: 5 of 70
- Social Psychology 61
- Computer Vision and Pattern Recognition 54
- Computer Networks and Communications 52
- Cognitive Neuroscience 50
- Artificial Intelligence 49
Countries citing papers authored by Midori Sugaya
This map shows the geographic impact of Midori Sugaya'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 Midori Sugaya with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Midori Sugaya more than expected).
Fields of papers citing papers by Midori Sugaya
This network shows the impact of papers produced by Midori Sugaya. 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 Midori Sugaya. The network helps show where Midori Sugaya may publish in the future.
Co-authorship network of co-authors of Midori Sugaya
This figure shows the co-authorship network connecting the top 25 collaborators of Midori Sugaya. A scholar is included among the top collaborators of Midori Sugaya 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 Midori Sugaya. Midori Sugaya is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 10 | |
| 2 | 0 | |
| 3 | 0 | |
| 4 | 2 | |
| 5 | 5 | |
| 6 | 2 | |
| 7 | 1 | |
| 8 | 1 | |
| 9 | 1 | |
| 10 | 19 | |
| 11 | Estimate emotion method to use biological, symbolic information preliminary experiment | 1 |
| 12 | 1 | |
| 13 | 3 | |
| 14 | 2 | |
| 15 | 4 | |
| 16 | 0 | |
| 17 | 6 | |
| 18 | 4 | |
| 19 | Performance analysis of information explosion by using LTTng | 0 |
| 20 | 3 |
About Midori Sugaya
Midori Sugaya is a scholar working on Hardware and Architecture, Experimental and Cognitive Psychology and Cognitive Neuroscience, having authored 65 papers that have together received 268 indexed citations. Recurring topics across this work include EEG and Brain-Computer Interfaces (13 papers), Real-Time Systems Scheduling (12 papers) and Emotion and Mood Recognition (12 papers). The work is most often cited by research in Human-Computer Interaction (24 citations), Hardware and Architecture (29 citations) and Experimental and Cognitive Psychology (43 citations). Midori Sugaya has collaborated with scholars based in Japan, United States and India. Frequent co-authors include Tatsuo Nakajima, Kei Suzuki, Y. Matsubara, Hideharu Amano, Takeshi Ohkawa, Irini Giannopulu, Chen Feng, Yuki Ohno, Shuichi Oikawa and Yoshito Tobe. Their work appears in journals such as Sensors, Lecture notes in computer science and Brain Sciences.
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.