Akira Taniguchi
- Biomedical Engineering
- Radiology, Nuclear Medicine and Imaging top 10%
- Artificial Intelligence top 10%
- Computer Vision and Pattern Recognition top 10%
- Control and Systems Engineering top 10%
- Co-authors
- Tadahiro TaniguchiYoshinobu HagiwaraMasao MatsumotoTetsunari InamuraKoji MaedaAkihide YamamotoHitoshi KanamoriYasushi Kanzaki
- Topics
- Multimodal Machine Learning Applications (14 papers)Robotics and Sensor-Based Localization (13 papers)Speech and dialogue systems (12 papers)
- Journals
- SHILAP Revista de lepidopterologíaJournal of The Electrochemical SocietyRadiology
- Partner nations
- JapanUnited StatesUnited Kingdom
In The Last Decade
Akira Taniguchi
67 papers receiving 572 citations
Peers
Comparison fields: 5 of 75
- Biomedical Engineering 163
- Radiology, Nuclear Medicine and Imaging 127
- Artificial Intelligence 124
- Computer Vision and Pattern Recognition 108
- Control and Systems Engineering 87
Countries citing papers authored by Akira Taniguchi
This map shows the geographic impact of Akira Taniguchi'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 Akira Taniguchi with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Akira Taniguchi more than expected).
Fields of papers citing papers by Akira Taniguchi
This network shows the impact of papers produced by Akira Taniguchi. 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 Akira Taniguchi. The network helps show where Akira Taniguchi may publish in the future.
Co-authorship network of co-authors of Akira Taniguchi
This figure shows the co-authorship network connecting the top 25 collaborators of Akira Taniguchi. A scholar is included among the top collaborators of Akira Taniguchi 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 Akira Taniguchi. Akira Taniguchi is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 0 | |
| 3 | 1 | |
| 4 | 2 | |
| 5 | 1 | |
| 6 | 3 | |
| 7 | 4 | |
| 8 | 9 | |
| 9 | 1 | |
| 10 | 6 | |
| 11 | 12 | |
| 12 | 15 | |
| 13 | 1 | |
| 14 | 33 | |
| 15 | 14 | |
| 16 | 3 | |
| 17 | 10 | |
| 18 | 3 | |
| 19 | 1 | |
| 20 | 1 |
About Akira Taniguchi
Akira Taniguchi is a scholar working on Cultural Studies, Computer Vision and Pattern Recognition and Developmental Biology, having authored 71 papers that have together received 584 indexed citations. Recurring topics across this work include Multimodal Machine Learning Applications (14 papers), Robotics and Sensor-Based Localization (13 papers) and Speech and dialogue systems (12 papers). The work is most often cited by research in Cultural Studies (74 citations), Radiology, Nuclear Medicine and Imaging (127 citations) and Metals and Alloys (14 citations). Akira Taniguchi has collaborated with scholars based in Japan, United States and United Kingdom. Frequent co-authors include Tadahiro Taniguchi, Yoshinobu Hagiwara, Masao Matsumoto, Tetsunari Inamura, Koji Maeda, Akihide Yamamoto, Hitoshi Kanamori, Yasushi Kanzaki, Mitsuo Abe and Kazutoshi Nishimoto. Their work appears in journals such as SHILAP Revista de lepidopterología, Journal of The Electrochemical Society and Radiology.
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.