Tomoyuki Kaneko
- Cellular and Molecular Neuroscience top 5%
- Biomedical Engineering top 10%
- Molecular Biology
- Cardiology and Cardiovascular Medicine top 10%
- Artificial Intelligence
- Co-authors
- Kenji YasudaKensuke KojimaFumimasa NomuraAkihiro HattoriHiroyuki MoriguchiMitsushige MurataShugo TohyamaYohei Ohno
- Topics
- Neuroscience and Neural Engineering (27 papers)Artificial Intelligence in Games (22 papers)3D Printing in Biomedical Research (15 papers)
In The Last Decade
Tomoyuki Kaneko
68 papers receiving 783 citations
Peers
Comparison fields: 5 of 81
- Cellular and Molecular Neuroscience 349
- Biomedical Engineering 336
- Molecular Biology 278
- Cardiology and Cardiovascular Medicine 192
- Artificial Intelligence 83
Countries citing papers authored by Tomoyuki Kaneko
This map shows the geographic impact of Tomoyuki Kaneko'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 Kaneko with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Tomoyuki Kaneko more than expected).
Fields of papers citing papers by Tomoyuki Kaneko
This network shows the impact of papers produced by Tomoyuki Kaneko. 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 Kaneko. The network helps show where Tomoyuki Kaneko may publish in the future.
Co-authorship network of co-authors of Tomoyuki Kaneko
This figure shows the co-authorship network connecting the top 25 collaborators of Tomoyuki Kaneko. A scholar is included among the top collaborators of Tomoyuki Kaneko 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 Kaneko. Tomoyuki Kaneko 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 | 0 | |
| 4 | 0 | |
| 5 | 1 | |
| 6 | 16 | |
| 7 | 1 | |
| 8 | 18 | |
| 9 | 5 | |
| 10 | 7 | |
| 11 | 26 | |
| 12 | 16 | |
| 13 | Power feeding equipment for optical submarine cable systems | 4 |
| 14 | Visualization and adjustment of evaluation functions based on evaluation values and win probability | 3 |
| 15 | 58 | |
| 16 | 21 | |
| 17 | 10 | |
| 18 | 26 | |
| 19 | 20 | |
| 20 | 47 |
About Tomoyuki Kaneko
Tomoyuki Kaneko is a scholar working on Cellular and Molecular Neuroscience, Energy Engineering and Power Technology and Artificial Intelligence, having authored 78 papers that have together received 805 indexed citations. Recurring topics across this work include Neuroscience and Neural Engineering (27 papers), Artificial Intelligence in Games (22 papers) and 3D Printing in Biomedical Research (15 papers). The work is most often cited by research in Cellular and Molecular Neuroscience (349 citations), Cardiology and Cardiovascular Medicine (192 citations) and Biomedical Engineering (336 citations). Tomoyuki Kaneko has collaborated with scholars based in Japan, Sweden and Germany. Frequent co-authors include Kenji Yasuda, Kensuke Kojima, Fumimasa Nomura, Akihiro Hattori, Hiroyuki Moriguchi, Mitsushige Murata, Shugo Tohyama, Yohei Ohno, Tomofumi Tanaka and Hao Chen. Their work appears in journals such as PLoS ONE, Scientific Reports and Biochemical and Biophysical Research Communications.
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.