Toru Imai
Impact in
- Software top 5%
- Software Reliability and Analysis Research
- Signal Processing top 10%
- Speech and Audio Processing
Papers in
-
- Speech Recognition and Synthesis 25
- Natural Language Processing Techniques 9
-
- Speech and Audio Processing 15
- Music and Audio Processing 6
- Co-authors
- Toshikatsu Tanaka (2 shared papers)Toshio Shimizu (2 shared papers)T. Ozaki (2 shared papers)Fumio Sawa (2 shared papers)Masahiro Kozako (2 shared papers)Takashi Nakano (2 shared papers)Akio Kobayashi (22 shared papers)Francis Kubala (2 shared papers)
- Journals
- Fusion Science & Technology (9 papers)Nuclear Fusion (4 papers)IEEE Transactions on Broadcasting (2 papers)Cytometry Part A (1 paper)Japanese Journal of Clinical Oncology (1 paper)
- Partner nations
- JapanSouth KoreaUnited States
In The Last Decade
Toru Imai
65 papers receiving 635 citations
Peers
Comparison fields: 5 of 90
- Software 99
- Signal Processing 89
- Nuclear and High Energy Physics 95
- Information Systems 153
- Artificial Intelligence 198
Countries citing papers authored by Toru Imai
This map shows the geographic impact of Toru Imai'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 Toru Imai with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Toru Imai more than expected).
Fields of papers citing papers by Toru Imai
This network shows the impact of papers produced by Toru Imai. 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 Toru Imai. The network helps show where Toru Imai may publish in the future.
Co-authors
The 25 scholars most cited alongside Toru Imai, 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 80 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2006 | 189 | |
| 2 | 2003 | 134 | |
| 3 | 2005 | 48 | |
| 4 | 1997 | 40 | |
| 5 | 2005 | 29 | |
| 6 | 2000 | 22 | |
| 7 | 2003 | 22 | |
| 8 | 2002 | 21 | |
| 9 | 2006 | 18 | |
| 10 | 2008 | 12 | |
| 11 | 2002 | 12 | |
| 12 | 2019 | 11 | |
| 13 | 2002 | 11 | |
| 14 | 2003 | 10 | |
| 15 | 1998 | 10 | |
| 16 | 2023 | 9 | |
| 17 | 2007 | 9 | |
| 18 | 2002 | 8 | |
| 19 | 2013 | 8 | |
| 20 | 2013 | 8 |
About Toru Imai
Toru Imai is a scholar working on Artificial Intelligence, Signal Processing, Computer Vision and Pattern Recognition, Nuclear and High Energy Physics and Astronomy and Astrophysics, having authored 80 papers that have together received 745 indexed citations. Recurring topics across this work include Speech Recognition and Synthesis (25 papers), Speech and Audio Processing (15 papers), Magnetic confinement fusion research (13 papers), Ionosphere and magnetosphere dynamics (10 papers), Subtitles and Audiovisual Media (10 papers), Natural Language Processing Techniques (9 papers), Music and Audio Processing (6 papers) and Advanced Data Compression Techniques (5 papers). The work is most often cited by research in Software (99 citations), Signal Processing (89 citations), Nuclear and High Energy Physics (95 citations), Information Systems (153 citations) and Artificial Intelligence (198 citations). Toru Imai has collaborated with scholars based in Japan, South Korea and United States. Frequent co-authors include Toshikatsu Tanaka, Toshio Shimizu, T. Ozaki, Fumio Sawa, Masahiro Kozako, Takashi Nakano, Akio Kobayashi, Francis Kubala, A Ando and Akio Ando. Their work appears in journals such as Fusion Science & Technology, Nuclear Fusion, IEEE Transactions on Broadcasting, Cytometry Part A and Japanese Journal of Clinical Oncology.
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.