Kazuyuki Murase
- Artificial Intelligence top 0.5%
- Cellular and Molecular Neuroscience top 1%
- Molecular Biology top 5%
- Physiology top 2%
- Computer Vision and Pattern Recognition top 2%
- Co-authors
- Mirjana RandićXin YaoPan Dong RyuMd. Monirul IslamSukarna BaruaMd. Monirul KabirHiroshi IkedaMd. Shahjahan
- Topics
- Neural Networks and Applications (56 papers)Pain Mechanisms and Treatments (30 papers)Face and Expression Recognition (28 papers)
- Journals
- ScienceJournal of NeuroscienceSHILAP Revista de lepidopterología
- Partner nations
- JapanBangladeshUnited States
In The Last Decade
Kazuyuki Murase
181 papers receiving 5.4k citations
Hit Papers
Peers
Comparison fields: 5 of 188
- Artificial Intelligence 2.1k
- Cellular and Molecular Neuroscience 1.8k
- Molecular Biology 1.4k
- Physiology 1.2k
- Computer Vision and Pattern Recognition 643
Countries citing papers authored by Kazuyuki Murase
This map shows the geographic impact of Kazuyuki Murase'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 Kazuyuki Murase with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Kazuyuki Murase more than expected).
Fields of papers citing papers by Kazuyuki Murase
This network shows the impact of papers produced by Kazuyuki Murase. 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 Kazuyuki Murase. The network helps show where Kazuyuki Murase may publish in the future.
Co-authorship network of co-authors of Kazuyuki Murase
This figure shows the co-authorship network connecting the top 25 collaborators of Kazuyuki Murase. A scholar is included among the top collaborators of Kazuyuki Murase 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 Kazuyuki Murase. Kazuyuki Murase 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 | 3 | |
| 3 | 11 | |
| 4 | 35 | |
| 5 | 12 | |
| 6 | A novel dynamic edge detection inspired from mammalian retina toward better robot vision | 1 |
| 7 | 不安行動に対する匂いの効果,およびc-Fos染色で明らかとなった関連脳領域 | 1 |
| 8 | 4 | |
| 9 | 14 | |
| 10 | 1 | |
| 11 | 3 | |
| 12 | 3 | |
| 13 | 1 | |
| 14 | 1 | |
| 15 | 51 | |
| 16 | Optical imaging with retrogradely transported voltage-sensitive dye from projection neurons in marginal layer of the spinal dorsal horn | 0 |
| 17 | A New Crossover Operator and Its Application to Artificial Neural Networks Evolution | 2 |
| 18 | 34 | |
| 19 | 16 | |
| 20 | 116 |
About Kazuyuki Murase
Kazuyuki Murase is a scholar working on Artificial Intelligence, Cellular and Molecular Neuroscience and Computer Vision and Pattern Recognition, having authored 192 papers that have together received 5.7k indexed citations. Recurring topics across this work include Neural Networks and Applications (56 papers), Pain Mechanisms and Treatments (30 papers) and Face and Expression Recognition (28 papers). The work is most often cited by research in Cellular and Molecular Neuroscience (1.8k citations), Artificial Intelligence (2.1k citations) and Physiology (1.2k citations). Kazuyuki Murase has collaborated with scholars based in Japan, Bangladesh and United States. Frequent co-authors include Mirjana Randić, Xin Yao, Pan Dong Ryu, Md. Monirul Islam, Md. Monirul Islam, Sukarna Barua, Md. Monirul Kabir, Hiroshi Ikeda, Md. Shahjahan and Md. Faijul Amin. Their work appears in journals such as Science, Journal of Neuroscience and SHILAP Revista de lepidopterología.
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.