Hidekazu Kaneko
- Cognitive Neuroscience top 5%
- Cellular and Molecular Neuroscience top 5%
- Neurology top 10%
- Biomedical Engineering
- Molecular Biology
- Co-authors
- Motoyuki AkamatsuThierry HasbroucqShinya S. SuzukiHiroshi TamuraCamille‐Aimé PossamaïMasatoshi TakitaTakahiro KawashimaIchiro Fujita
- Topics
- Neural dynamics and brain function (15 papers)Neuroscience and Neural Engineering (14 papers)EEG and Brain-Computer Interfaces (9 papers)
In The Last Decade
Hidekazu Kaneko
50 papers receiving 757 citations
Peers
Comparison fields: 5 of 106
- Cognitive Neuroscience 460
- Cellular and Molecular Neuroscience 302
- Neurology 124
- Biomedical Engineering 120
- Molecular Biology 84
Countries citing papers authored by Hidekazu Kaneko
This map shows the geographic impact of Hidekazu 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 Hidekazu Kaneko with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Hidekazu Kaneko more than expected).
Fields of papers citing papers by Hidekazu Kaneko
This network shows the impact of papers produced by Hidekazu 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 Hidekazu Kaneko. The network helps show where Hidekazu Kaneko may publish in the future.
Co-authorship network of co-authors of Hidekazu Kaneko
This figure shows the co-authorship network connecting the top 25 collaborators of Hidekazu Kaneko. A scholar is included among the top collaborators of Hidekazu 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 Hidekazu Kaneko. Hidekazu 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 | 7 | |
| 2 | 0 | |
| 3 | 3 | |
| 4 | 26 | |
| 5 | 12 | |
| 6 | 11 | |
| 7 | 28 | |
| 8 | 18 | |
| 9 | 52 | |
| 10 | 27 | |
| 11 | Visual response properties of presumed inhibitory neurons in the macaque inferior temporal cortex | 1 |
| 12 | IN VITRO CONDITIONING IN MUSCLE-NERVE CORD PREPARATION OF EARTHWORM(Physiology)(Proceeding of the Seventy-Third Annual Meeting of the Zoological Society of Japan) | 2 |
| 13 | 11 | |
| 14 | 42 | |
| 15 | 74 | |
| 16 | 15 | |
| 17 | Compensation for the Distortion of Bipolar Surface EMG Signals Caused by Innervation Zone Movement | 7 |
| 18 | 1 | |
| 19 | 23 | |
| 20 | Motion artifact elimination using fuzzy rule based adaptive nonlinear filter | 7 |
About Hidekazu Kaneko
Hidekazu Kaneko is a scholar working on Cognitive Neuroscience, Cellular and Molecular Neuroscience and Neurology, having authored 52 papers that have together received 791 indexed citations. Recurring topics across this work include Neural dynamics and brain function (15 papers), Neuroscience and Neural Engineering (14 papers) and EEG and Brain-Computer Interfaces (9 papers). The work is most often cited by research in Cognitive Neuroscience (460 citations), Cellular and Molecular Neuroscience (302 citations) and Neurology (124 citations). Hidekazu Kaneko has collaborated with scholars based in Japan and France. Frequent co-authors include Motoyuki Akamatsu, Thierry Hasbroucq, Shinya S. Suzuki, Hiroshi Tamura, Camille‐Aimé Possamaï, Masatoshi Takita, Takahiro Kawashima, Ichiro Fujita, Mákoto Ishida and Takeshi Kawano. Their work appears in journals such as Stroke, Journal of Neurophysiology and Scientific Reports.
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.