Shotaro Akaho
- Artificial Intelligence top 2%
- Computer Vision and Pattern Recognition top 5%
- Information Systems top 5%
- Signal Processing top 5%
- Safety Research top 5%
- Co-authors
- Toshihiro KamishimaJun SakumaHideki AsohMasahiro HamasakiIsao HaraSatoru HayamizuToshihiro MatsuiШун-ичи Амари
- Topics
- Neural Networks and Applications (20 papers)Blind Source Separation Techniques (13 papers)Recommender Systems and Techniques (10 papers)
- Journals
- SHILAP Revista de lepidopterologíaPLoS ONEChemical Geology
- Partner nations
- JapanUnited StatesUnited Kingdom
In The Last Decade
Shotaro Akaho
89 papers receiving 908 citations
Peers
Comparison fields: 5 of 124
- Artificial Intelligence 510
- Computer Vision and Pattern Recognition 204
- Information Systems 156
- Signal Processing 135
- Safety Research 122
Countries citing papers authored by Shotaro Akaho
This map shows the geographic impact of Shotaro Akaho'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 Shotaro Akaho with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Shotaro Akaho more than expected).
Fields of papers citing papers by Shotaro Akaho
This network shows the impact of papers produced by Shotaro Akaho. 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 Shotaro Akaho. The network helps show where Shotaro Akaho may publish in the future.
Co-authorship network of co-authors of Shotaro Akaho
This figure shows the co-authorship network connecting the top 25 collaborators of Shotaro Akaho. A scholar is included among the top collaborators of Shotaro Akaho 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 Shotaro Akaho. Shotaro Akaho 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 | 0 | |
| 3 | 0 | |
| 4 | 5 | |
| 5 | 8 | |
| 6 | 1 | |
| 7 | 7 | |
| 8 | 19 | |
| 9 | Universal Statistics of Fisher Information in Deep Neural Networks: Mean Field Approach | 1 |
| 10 | Correcting Popularity Bias by Enhancing Recommendation Neutrality. | 31 |
| 11 | Basis Functions for Fast Learning of Log-linear Models | 0 |
| 12 | Analysis of Medical Treatment Data using Inverse Reinforcement Learning | 1 |
| 13 | Efficiency Improvement of Neutrality-Enhanced Recommendation. | 17 |
| 14 | Enhancement of the Neutrality in Recommendation. | 23 |
| 15 | 3 | |
| 16 | Efficient First Order Superlinear Algorithms. | 1 |
| 17 | Estimating Attributed Central Orders: An Empirical Comparison. | 2 |
| 18 | 1 | |
| 19 | Pursuit Movement of Pan-Tilt Camera by Feedback-Error-Learning | 1 |
| 20 | Socially embedded learning of the office-conversant mobile robot Jijo-2 | 68 |
About Shotaro Akaho
Shotaro Akaho is a scholar working on Signal Processing, Artificial Intelligence and Computer Vision and Pattern Recognition, having authored 100 papers that have together received 981 indexed citations. Recurring topics across this work include Neural Networks and Applications (20 papers), Blind Source Separation Techniques (13 papers) and Recommender Systems and Techniques (10 papers). The work is most often cited by research in Artificial Intelligence (510 citations), Safety Research (122 citations) and Computational Mathematics (8 citations). Shotaro Akaho has collaborated with scholars based in Japan, United States and United Kingdom. Frequent co-authors include Toshihiro Kamishima, Jun Sakuma, Hideki Asoh, Masahiro Hamasaki, Isao Hara, Satoru Hayamizu, Toshihiro Matsui, Шун-ичи Амари, Yoichi Motomura and Hideitsu Hino. Their work appears in journals such as SHILAP Revista de lepidopterología, PLoS ONE and Chemical Geology.
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.