Riku Arakawa
- Human-Computer Interaction top 5%
- Computer Vision and Pattern Recognition
- Artificial Intelligence
- Cognitive Neuroscience
- Signal Processing
- Co-authors
- Hiromu YakuraMayank GoelShinnosuke TakamichiHiroshi SaruwatariFabrice MatulicBrian VogelDaniel VogelZendai Kashino
- Topics
- Speech and Audio Processing (4 papers)Tactile and Sensory Interactions (4 papers)Hand Gesture Recognition Systems (4 papers)
- Journals
- Proceedings of the ACM on Human-Computer InteractionProceedings of the ACM on Interactive Mobile Wearable and Ubiquitous TechnologiesACM Transactions on Interactive Intelligent Systems
- Partner nations
- United StatesJapanGermany
In The Last Decade
Riku Arakawa
23 papers receiving 158 citations
Peers
Comparison fields: 5 of 46
- Human-Computer Interaction 67
- Computer Vision and Pattern Recognition 47
- Artificial Intelligence 45
- Cognitive Neuroscience 34
- Signal Processing 20
Countries citing papers authored by Riku Arakawa
This map shows the geographic impact of Riku Arakawa'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 Riku Arakawa with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Riku Arakawa more than expected).
Fields of papers citing papers by Riku Arakawa
This network shows the impact of papers produced by Riku Arakawa. 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 Riku Arakawa. The network helps show where Riku Arakawa may publish in the future.
Co-authorship network of co-authors of Riku Arakawa
This figure shows the co-authorship network connecting the top 25 collaborators of Riku Arakawa. A scholar is included among the top collaborators of Riku Arakawa 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 Riku Arakawa. Riku Arakawa 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 | 1 | |
| 3 | 1 | |
| 4 | 3 | |
| 5 | 0 | |
| 6 | 5 | |
| 7 | 6 | |
| 8 | 10 | |
| 9 | 3 | |
| 10 | 2 | |
| 11 | 10 | |
| 12 | 14 | |
| 13 | 7 | |
| 14 | 3 | |
| 15 | 3 | |
| 16 | 8 | |
| 17 | 15 | |
| 18 | 19 | |
| 19 | 1 | |
| 20 | 3 |
About Riku Arakawa
Riku Arakawa is a scholar working on Human-Computer Interaction, Computer Vision and Pattern Recognition and Signal Processing, having authored 25 papers that have together received 161 indexed citations. Recurring topics across this work include Speech and Audio Processing (4 papers), Tactile and Sensory Interactions (4 papers) and Hand Gesture Recognition Systems (4 papers). The work is most often cited by research in Human-Computer Interaction (67 citations), Computer Vision and Pattern Recognition (47 citations) and Signal Processing (20 citations). Riku Arakawa has collaborated with scholars based in United States, Japan and Germany. Frequent co-authors include Hiromu Yakura, Mayank Goel, Shinnosuke Takamichi, Hiroshi Saruwatari, Fabrice Matulic, Brian Vogel, Daniel Vogel, Zendai Kashino, Yuta Sugiura and James McCann. Their work appears in journals such as Proceedings of the ACM on Human-Computer Interaction, Proceedings of the ACM on Interactive Mobile Wearable and Ubiquitous Technologies and ACM Transactions on Interactive Intelligent Systems.
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.