Hiroaki Gomi
- Cognitive Neuroscience top 0.5%
- Biomedical Engineering top 1%
- Neurology top 0.5%
- Control and Systems Engineering top 1%
- Social Psychology top 1%
- Co-authors
- Mitsuo KawatoRieko OsuMunetaka ShidaraToshinori YoshiokaK. KawanoPatrick HaggardToshitaka KimuraKenji Kawano
- Topics
- Motor Control and Adaptation (70 papers)Tactile and Sensory Interactions (41 papers)Muscle activation and electromyography studies (35 papers)
- Journals
- NatureScienceJournal of Neuroscience
- Partner nations
- JapanUnited KingdomUnited States
In The Last Decade
Hiroaki Gomi
117 papers receiving 4.5k citations
Peers
Comparison fields: 5 of 126
- Cognitive Neuroscience 3.5k
- Biomedical Engineering 2.0k
- Neurology 974
- Control and Systems Engineering 820
- Social Psychology 810
Countries citing papers authored by Hiroaki Gomi
This map shows the geographic impact of Hiroaki Gomi'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 Hiroaki Gomi with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Hiroaki Gomi more than expected).
Fields of papers citing papers by Hiroaki Gomi
This network shows the impact of papers produced by Hiroaki Gomi. 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 Hiroaki Gomi. The network helps show where Hiroaki Gomi may publish in the future.
Co-authorship network of co-authors of Hiroaki Gomi
This figure shows the co-authorship network connecting the top 25 collaborators of Hiroaki Gomi. A scholar is included among the top collaborators of Hiroaki Gomi 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 Hiroaki Gomi. Hiroaki Gomi is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 2 | |
| 2 | 1 | |
| 3 | 1 | |
| 4 | 14 | |
| 5 | 22 | |
| 6 | 15 | |
| 7 | 12 | |
| 8 | ON RANKING FUZZY NUMBERS USING SIGNAL/NOISE RATIOS | 1 |
| 9 | Motor Learning Strategies for Suddenly and Gradually Increased Visuomotor Rotations | 1 |
| 10 | Recursive Filter Design for Estimating Time Varying Multijoint Human Arm Viscoelasticity. | 10 |
| 11 | 108 | |
| 12 | Movement control of articulatory dynamics model by imitation learning | 1 |
| 13 | 5 | |
| 14 | 5 | |
| 15 | AMPA receptor binding in the cerebellar cortex of classically conditioned, pseudoconditioned, and naive rabbits | 1 |
| 16 | 7 | |
| 17 | 12 | |
| 18 | Teaching by Showing for Task level Robot Learing through movement Pattern Perception | 0 |
| 19 | Recognition of Manipulated Objects by Motor Learning | 2 |
| 20 | Pneumatic atomisation with coaxial injectors: Measurements of drop size by diffraction method and liquid phase fraction by attenuation method | 1 |
About Hiroaki Gomi
Hiroaki Gomi is a scholar working on Cognitive Neuroscience, Human-Computer Interaction and Neurology, having authored 121 papers that have together received 4.8k indexed citations. Recurring topics across this work include Motor Control and Adaptation (70 papers), Tactile and Sensory Interactions (41 papers) and Muscle activation and electromyography studies (35 papers). The work is most often cited by research in Cognitive Neuroscience (3.5k citations), Physical Therapy, Sports Therapy and Rehabilitation (601 citations) and Neurology (974 citations). Hiroaki Gomi has collaborated with scholars based in Japan, United Kingdom and United States. Frequent co-authors include Mitsuo Kawato, Rieko Osu, Mitsuo Kawato, Munetaka Shidara, Toshinori Yoshioka, K. Kawano, Patrick Haggard, Toshitaka Kimura, Kenji Kawano and Shin’ya Nishida. Their work appears in journals such as Nature, Science and Journal of Neuroscience.
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.