Jun Toyama
Impact in
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- Face and Expression Recognition
- Context-Aware Activity Recognition Systems
- Video Surveillance and Tracking Methods
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- Time Series Analysis and Forecasting
Papers in
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- Video Surveillance and Tracking Methods 6
- Human Pose and Action Recognition 3
- Co-authors
- Mineichi Kudo (20 shared papers)Masaru Shimbo (10 shared papers)Shuai Tao (4 shared papers)Hideyuki Imai (1 shared paper)Makoto Kawaguchi (1 shared paper)Masao Omata (1 shared paper)Yoshihiro Miyashita (1 shared paper)Guoliang Lu (3 shared papers)
In The Last Decade
Jun Toyama
25 papers receiving 284 citations
Peers
Comparison fields: 5 of 87
- Computer Vision and Pattern Recognition 80
- Signal Processing 39
- Human-Computer Interaction 20
- Medical Laboratory Technology 5
- Artificial Intelligence 84
Countries citing papers authored by Jun Toyama
This map shows the geographic impact of Jun Toyama'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 Jun Toyama with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jun Toyama more than expected).
Fields of papers citing papers by Jun Toyama
This network shows the impact of papers produced by Jun Toyama. 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 Jun Toyama. The network helps show where Jun Toyama may publish in the future.
Co-authors
The 18 scholars most cited alongside Jun Toyama, 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 29 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 1999 | 89 | |
| 2 | 2008 | 42 | |
| 3 | 2023 | 37 | |
| 4 | 2014 | 23 | |
| 5 | 2009 | 21 | |
| 6 | 2006 | 12 | |
| 7 | 2009 | 10 | |
| 8 | 2011 | 9 | |
| 9 | 2011 | 8 | |
| 10 | 2006 | 5 | |
| 11 | 2012 | 4 | |
| 12 | 2003 | 4 | |
| 13 | Construction of nonlinear discrimination function based on the MDL criterion. | 1998 | 3 |
| 14 | Person authentication and activities analysis in an office environment using a sensor network | 2012 | 3 |
| 15 | 2011 | 3 | |
| 16 | 2001 | 3 | |
| 17 | Knowledge-based enhancement of low spatial resolution images | 1998 | 2 |
| 18 | 2011 | 2 | |
| 19 | 2014 | 2 | |
| 20 | 2012 | 2 |
About Jun Toyama
Jun Toyama is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence, Signal Processing, Electrical and Electronic Engineering and Statistics and Probability, having authored 29 papers that have together received 290 indexed citations. Recurring topics across this work include Video Surveillance and Tracking Methods (6 papers), Statistical Methods and Bayesian Inference (4 papers), Gait Recognition and Analysis (4 papers), Statistical Methods and Inference (4 papers), IoT-based Smart Home Systems (3 papers), Ergonomics and Musculoskeletal Disorders (3 papers), Human Pose and Action Recognition (3 papers) and Data Management and Algorithms (2 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (80 citations), Signal Processing (39 citations), Human-Computer Interaction (20 citations), Medical Laboratory Technology (5 citations) and Artificial Intelligence (84 citations). Jun Toyama has collaborated with scholars based in Japan and China. Frequent co-authors include Mineichi Kudo, Masaru Shimbo, Shuai Tao, Hideyuki Imai, Makoto Kawaguchi, Masao Omata, Yoshihiro Miyashita, Guoliang Lu, Yumiko Kakizaki and Toshiharu Tsutsui. Their work appears in journals such as Journal of Multivariate Analysis, Pattern Recognition Letters, Pattern Analysis and Applications, The Journal of the Acoustical Society of America and IEEE Transactions on Human-Machine 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.