Jun Toyama
Impact in
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- Face and Expression Recognition
- Context-Aware Activity Recognition Systems
- Video Surveillance and Tracking Methods
Papers in
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- Video Surveillance and Tracking Methods 6
- Human Pose and Action Recognition 3
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- Anomaly Detection Techniques and Applications 2
- Co-authors
- Mineichi Kudo (20 shared papers)Masaru Shimbo (10 shared papers)Shuai Tao (4 shared papers)Hideyuki Imai (1 shared paper)Hiroaki Kobayashi (1 shared paper)Masao Omata (1 shared paper)Toshiharu Tsutsui (1 shared paper)Guoliang Lu (3 shared papers)
In The Last Decade
Jun Toyama
25 papers receiving 293 citations
Peers
Comparison fields: 5 of 89
- Computer Vision and Pattern Recognition 80
- Medical Laboratory Technology 5
- Human-Computer Interaction 20
- Signal Processing 39
- Artificial Intelligence 85
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 | 93 | |
| 2 | 2008 | 43 | |
| 3 | 2023 | 40 | |
| 4 | 2014 | 23 | |
| 5 | 2009 | 21 | |
| 6 | 2006 | 12 | |
| 7 | 2009 | 10 | |
| 8 | 2011 | 9 | |
| 9 | 2011 | 8 | |
| 10 | 2006 | 5 | |
| 11 | 2003 | 4 | |
| 12 | 2012 | 4 | |
| 13 | Person authentication and activities analysis in an office environment using a sensor network | 2012 | 3 |
| 14 | Construction of nonlinear discrimination function based on the MDL criterion. | 1998 | 3 |
| 15 | 2001 | 3 | |
| 16 | 2011 | 3 | |
| 17 | Knowledge-based enhancement of low spatial resolution images | 1998 | 2 |
| 18 | 2012 | 2 | |
| 19 | 2011 | 2 | |
| 20 | 2014 | 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 298 indexed citations. Recurring topics across this work include Video Surveillance and Tracking Methods (6 papers), Statistical Methods and Bayesian Inference (4 papers), Statistical Methods and Inference (4 papers), Gait Recognition and Analysis (4 papers), Human Pose and Action Recognition (3 papers), IoT-based Smart Home Systems (3 papers), Ergonomics and Musculoskeletal Disorders (3 papers) and Anomaly Detection Techniques and Applications (2 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (80 citations), Medical Laboratory Technology (5 citations), Human-Computer Interaction (20 citations), Signal Processing (39 citations) and Artificial Intelligence (85 citations). Jun Toyama has collaborated with scholars based in Japan and China. Frequent co-authors include Mineichi Kudo, Masaru Shimbo, Shuai Tao, Hideyuki Imai, Hiroaki Kobayashi, Masao Omata, Toshiharu Tsutsui, Guoliang Lu, Akitoshi Saito and Yumiko Kakizaki. Their work appears in journals such as Pattern Recognition Letters, Journal of Multivariate Analysis, The Journal of the Acoustical Society of America, Pattern Analysis and Applications and Med.
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.