Satoshi Tojo
Impact in
- Signal Processing top 5%
- Music and Audio Processing
-
- Music Technology and Sound Studies
Papers in
-
- Semantic Web and Ontologies 25
- Logic, Reasoning, and Knowledge 23
- Multi-Agent Systems and Negotiation 15
- Natural Language Processing Techniques 10
-
- Music and Audio Processing 26
- Co-authors
- Keiji Hirata (23 shared papers)Masatoshi Hamanaka (22 shared papers)Le-Minh Nguyen (4 shared papers)Ken Satoh (3 shared papers)Akira Shimazu (1 shared paper)Vu Tran (1 shared paper)Nhung T. H. Nguyen (2 shared papers)Yoshimasa Tsuruoka (2 shared papers)
In The Last Decade
Satoshi Tojo
72 papers receiving 338 citations
Peers
Comparison fields: 5 of 67
- Signal Processing 168
- Computer Vision and Pattern Recognition 156
- Cognitive Neuroscience 118
- Artificial Intelligence 157
- Political Science and International Relations 61
Countries citing papers authored by Satoshi Tojo
This map shows the geographic impact of Satoshi Tojo'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 Satoshi Tojo with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Satoshi Tojo more than expected).
Fields of papers citing papers by Satoshi Tojo
This network shows the impact of papers produced by Satoshi Tojo. 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 Satoshi Tojo. The network helps show where Satoshi Tojo may publish in the future.
Co-authors
The 25 scholars most cited alongside Satoshi Tojo, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 90 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2006 | 68 | |
| 2 | 2018 | 33 | |
| 3 | 2020 | 27 | |
| 4 | 2017 | 16 | |
| 5 | 1995 | 16 | |
| 6 | 2005 | 14 | |
| 7 | Melody Morphing Method Based on GTTM | 2008 | 13 |
| 8 | 2015 | 13 | |
| 9 | 2020 | 13 | |
| 10 | FATTA: FULL AUTOMATIC TIME-SPAN TREE ANALYZER | 2007 | 11 |
| 11 | Automatic Generation of Grouping Structure based on the GTTM | 2004 | 10 |
| 12 | 2014 | 10 | |
| 13 | 2015 | 8 | |
| 14 | Analysis of chord progression by HPSG | 2006 | 8 |
| 15 | Use of Decision Tree to Detect GTTM Group Boundaries | 2009 | 5 |
| 16 | 2006 | 5 | |
| 17 | Automatic Generation of Metrical Structure Based On GTTM | 2005 | 5 |
| 18 | 2018 | 5 | |
| 19 | 2021 | 4 | |
| 20 | 2003 | 4 |
About Satoshi Tojo
Satoshi Tojo is a scholar working on Artificial Intelligence, Signal Processing, Computer Vision and Pattern Recognition, Cognitive Neuroscience and Computer Networks and Communications, having authored 90 papers that have together received 380 indexed citations. Recurring topics across this work include Music Technology and Sound Studies (27 papers), Music and Audio Processing (26 papers), Semantic Web and Ontologies (25 papers), Logic, Reasoning, and Knowledge (23 papers), Neuroscience and Music Perception (20 papers), Multi-Agent Systems and Negotiation (15 papers), Natural Language Processing Techniques (10 papers) and Service-Oriented Architecture and Web Services (6 papers). The work is most often cited by research in Signal Processing (168 citations), Computer Vision and Pattern Recognition (156 citations), Cognitive Neuroscience (118 citations), Artificial Intelligence (157 citations) and Political Science and International Relations (61 citations). Satoshi Tojo has collaborated with scholars based in Japan, Thailand and Vietnam. Frequent co-authors include Keiji Hirata, Masatoshi Hamanaka, Le-Minh Nguyen, Ken Satoh, Akira Shimazu, Vu Tran, Nhung T. H. Nguyen, Yoshimasa Tsuruoka, Makoto Miwa and Ngoc Thanh Nguyên. Their work appears in journals such as Artificial Intelligence and Law, Journal of New Music Research, BMC Bioinformatics, International Journal on Semantic Web and Information Systems and Information and Computation.
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.