Tomoyuki Shimono
- Mechanical Engineering top 5%
- Control and Systems Engineering top 2%
- Biomedical Engineering top 10%
- Immunology
- Molecular Biology
- Co-authors
- Kouhei OhnishiSeiichiro KatsuraS KotaniFumio KinoshitaRyogo KuboYuka WatanabeIchijiro MorisakiYasutaka Fujimoto
- Topics
- Teleoperation and Haptic Systems (102 papers)Robot Manipulation and Learning (48 papers)Soft Robotics and Applications (43 papers)
- Partner nations
- JapanUnited StatesItaly
In The Last Decade
Tomoyuki Shimono
168 papers receiving 1.4k citations
Peers
Comparison fields: 5 of 129
- Mechanical Engineering 629
- Control and Systems Engineering 513
- Biomedical Engineering 326
- Immunology 208
- Molecular Biology 178
Countries citing papers authored by Tomoyuki Shimono
This map shows the geographic impact of Tomoyuki Shimono'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 Tomoyuki Shimono with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Tomoyuki Shimono more than expected).
Fields of papers citing papers by Tomoyuki Shimono
This network shows the impact of papers produced by Tomoyuki Shimono. 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 Tomoyuki Shimono. The network helps show where Tomoyuki Shimono may publish in the future.
Co-authorship network of co-authors of Tomoyuki Shimono
This figure shows the co-authorship network connecting the top 25 collaborators of Tomoyuki Shimono. A scholar is included among the top collaborators of Tomoyuki Shimono 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 Tomoyuki Shimono. Tomoyuki Shimono 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 | 2 | |
| 4 | 1 | |
| 5 | 1 | |
| 6 | 2 | |
| 7 | 1 | |
| 8 | 6 | |
| 9 | 2 | |
| 10 | 5 | |
| 11 | 4 | |
| 12 | 4 | |
| 13 | 1 | |
| 14 | 13 | |
| 15 | 28 | |
| 16 | 6 | |
| 17 | 1 | |
| 18 | 16 | |
| 19 | The differences in the chronology and calcification of second molars between angle Class III and Class II occlusions in Japanese children. | 5 |
| 20 | Epidemiologic study of 19-month-old Edmonton, Alberta children: caries rates and risk factors. | 17 |
About Tomoyuki Shimono
Tomoyuki Shimono is a scholar working on Human-Computer Interaction, Control and Systems Engineering and Mechanical Engineering, having authored 186 papers that have together received 1.6k indexed citations. Recurring topics across this work include Teleoperation and Haptic Systems (102 papers), Robot Manipulation and Learning (48 papers) and Soft Robotics and Applications (43 papers). The work is most often cited by research in Human-Computer Interaction (142 citations), Control and Systems Engineering (513 citations) and Periodontics (104 citations). Tomoyuki Shimono has collaborated with scholars based in Japan, United States and Italy. Frequent co-authors include Kouhei Ohnishi, Seiichiro Katsura, S Kotani, Fumio Kinoshita, Ryogo Kubo, Yuka Watanabe, Ichijiro Morisaki, Kouhei Ohnishi, Yasutaka Fujimoto and Naoki Motoi. Their work appears in journals such as Scientific Reports, IEEE Transactions on Industrial Electronics and Journal of Bacteriology.
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.