Kiyoshi Kotani
- Cellular and Molecular Neuroscience top 5%
- Cognitive Neuroscience top 10%
- Biomedical Engineering
- Molecular Biology
- Cardiology and Cardiovascular Medicine
- Co-authors
- Yasuhiko JimboKenta ShimbaTakuya IsomuraKiyoshi TakamasuYuzo TakayamaHiroyuki MoriguchiH. Eugene StanleyYoshiharu Yamamoto
- Topics
- Neuroscience and Neural Engineering (57 papers)Neural dynamics and brain function (23 papers)EEG and Brain-Computer Interfaces (15 papers)
- Journals
- Nature CommunicationsBiochemical and Biophysical Research CommunicationsIEEE Transactions on Biomedical Engineering
- Partner nations
- JapanUnited StatesChina
In The Last Decade
Kiyoshi Kotani
75 papers receiving 661 citations
Peers
Comparison fields: 5 of 101
- Cellular and Molecular Neuroscience 344
- Cognitive Neuroscience 248
- Biomedical Engineering 205
- Molecular Biology 120
- Cardiology and Cardiovascular Medicine 97
Countries citing papers authored by Kiyoshi Kotani
This map shows the geographic impact of Kiyoshi Kotani'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 Kiyoshi Kotani with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Kiyoshi Kotani more than expected).
Fields of papers citing papers by Kiyoshi Kotani
This network shows the impact of papers produced by Kiyoshi Kotani. 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 Kiyoshi Kotani. The network helps show where Kiyoshi Kotani may publish in the future.
Co-authorship network of co-authors of Kiyoshi Kotani
This figure shows the co-authorship network connecting the top 25 collaborators of Kiyoshi Kotani. A scholar is included among the top collaborators of Kiyoshi Kotani 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 Kiyoshi Kotani. Kiyoshi Kotani 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 | 25 | |
| 4 | 1 | |
| 5 | 6 | |
| 6 | 2 | |
| 7 | 2 | |
| 8 | 3 | |
| 9 | 1 | |
| 10 | 3 | |
| 11 | 17 | |
| 12 | 21 | |
| 13 | 9 | |
| 14 | 2 | |
| 15 | 24 | |
| 16 | 4 | |
| 17 | 1 | |
| 18 | 1 | |
| 19 | 1 | |
| 20 | 84 |
About Kiyoshi Kotani
Kiyoshi Kotani is a scholar working on Cellular and Molecular Neuroscience, Cognitive Neuroscience and Developmental Neuroscience, having authored 86 papers that have together received 682 indexed citations. Recurring topics across this work include Neuroscience and Neural Engineering (57 papers), Neural dynamics and brain function (23 papers) and EEG and Brain-Computer Interfaces (15 papers). The work is most often cited by research in Cellular and Molecular Neuroscience (344 citations), Cognitive Neuroscience (248 citations) and Human-Computer Interaction (27 citations). Kiyoshi Kotani has collaborated with scholars based in Japan, United States and China. Frequent co-authors include Yasuhiko Jimbo, Kenta Shimba, Takuya Isomura, Kiyoshi Takamasu, Yuzo Takayama, Hiroyuki Moriguchi, H. Eugene Stanley, Yoshiharu Yamamoto, Zbigniew R. Struzik and Makoto Noshiro. Their work appears in journals such as Nature Communications, Biochemical and Biophysical Research Communications and IEEE Transactions on Biomedical Engineering.
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.