Akihito Akutsu
- Computer Vision and Pattern Recognition top 2%
- Information Systems top 2%
- Signal Processing top 2%
- Sociology and Political Science top 10%
- Computer Networks and Communications top 10%
- Co-authors
- Yoshinobu TonomuraYoshihide TonomuraAtsushi NakadairaShigeru FujimuraHiroki WatanabeJay KishigamiYasuhiko MiyazakiYukinobu Taniguchi
- Topics
- Video Analysis and Summarization (16 papers)Multimedia Communication and Technology (8 papers)Advanced Vision and Imaging (6 papers)
- Journals
- International Journal of Remote SensingIEEE MultimediaIEICE Transactions on Information and Systems
- Partner nations
- JapanGambiaUnited Kingdom
In The Last Decade
Akihito Akutsu
26 papers receiving 812 citations
Peers
Comparison fields: 5 of 66
- Computer Vision and Pattern Recognition 565
- Information Systems 306
- Signal Processing 254
- Sociology and Political Science 158
- Computer Networks and Communications 127
Countries citing papers authored by Akihito Akutsu
This map shows the geographic impact of Akihito Akutsu'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 Akihito Akutsu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Akihito Akutsu more than expected).
Fields of papers citing papers by Akihito Akutsu
This network shows the impact of papers produced by Akihito Akutsu. 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 Akihito Akutsu. The network helps show where Akihito Akutsu may publish in the future.
Co-authorship network of co-authors of Akihito Akutsu
This figure shows the co-authorship network connecting the top 25 collaborators of Akihito Akutsu. A scholar is included among the top collaborators of Akihito Akutsu 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 Akihito Akutsu. Akihito Akutsu is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 2 | |
| 2 | 1 | |
| 3 | 170 | |
| 4 | 1 | |
| 5 | 4 | |
| 6 | 99 | |
| 7 | 68 | |
| 8 | 1 | |
| 9 | 0 | |
| 10 | 1 | |
| 11 | 1 | |
| 12 | PanoramaExcerpts: Video Cataloging by Automatic Synthesis and Layout of Panoramic Images | 3 |
| 13 | An Efficient Method for Detecting Text Regions from MPEG Encoded Video | 2 |
| 14 | 1 | |
| 15 | 59 | |
| 16 | 6 | |
| 17 | 77 | |
| 18 | 3 | |
| 19 | 78 | |
| 20 | 71 |
About Akihito Akutsu
Akihito Akutsu is a scholar working on Computer Vision and Pattern Recognition, Signal Processing and Computer Graphics and Computer-Aided Design, having authored 28 papers that have together received 908 indexed citations. Recurring topics across this work include Video Analysis and Summarization (16 papers), Multimedia Communication and Technology (8 papers) and Advanced Vision and Imaging (6 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (565 citations), Signal Processing (254 citations) and Information Systems (306 citations). Akihito Akutsu has collaborated with scholars based in Japan, Gambia and United Kingdom. Frequent co-authors include Yoshinobu Tonomura, Yoshihide Tonomura, Atsushi Nakadaira, Shigeru Fujimura, Hiroki Watanabe, Jay Kishigami, Yasuhiko Miyazaki, Yukinobu Taniguchi, Hiroshi Hamada and Hideo Hashimoto. Their work appears in journals such as International Journal of Remote Sensing, IEEE Multimedia and IEICE Transactions on Information and Systems.
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.