Norio Akamatsu
- Computer Vision and Pattern Recognition top 5%
- Statistical and Nonlinear Physics top 5%
- Cognitive Neuroscience
- Computer Networks and Communications top 10%
- Artificial Intelligence
- Co-authors
- Minoru FukumiYuzuru UedaYasue MitsukuraStephen KarungaruHironori TakimotoLaura StarkBlake HannafordTakuya Akashi
- Topics
- Neural Networks and Applications (26 papers)Face and Expression Recognition (20 papers)Face recognition and analysis (19 papers)
In The Last Decade
Norio Akamatsu
87 papers receiving 543 citations
Peers
Comparison fields: 5 of 92
- Computer Vision and Pattern Recognition 286
- Statistical and Nonlinear Physics 122
- Cognitive Neuroscience 89
- Computer Networks and Communications 84
- Artificial Intelligence 83
Countries citing papers authored by Norio Akamatsu
This map shows the geographic impact of Norio Akamatsu'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 Norio Akamatsu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Norio Akamatsu more than expected).
Fields of papers citing papers by Norio Akamatsu
This network shows the impact of papers produced by Norio Akamatsu. 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 Norio Akamatsu. The network helps show where Norio Akamatsu may publish in the future.
Co-authorship network of co-authors of Norio Akamatsu
This figure shows the co-authorship network connecting the top 25 collaborators of Norio Akamatsu. A scholar is included among the top collaborators of Norio Akamatsu 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 Norio Akamatsu. Norio Akamatsu is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | DETECTION AND RECOGNITION OF VEHICLE LICENSE PLATES USING TEMPLATE MATCHING, GENETIC ALGORITHMS AND NEURAL NETWORKS | 5 |
| 2 | 0 | |
| 3 | Automatic human faces morphing using genetic algorithms based control points selection | 14 |
| 4 | Optimizing feature extraction for the camera mouse using genetic algorithms | 1 |
| 5 | 10 | |
| 6 | Genetic Algorithms Based Online Size and Rotation Invariant Face Detection | 1 |
| 7 | Measurement of Skin Texture Using Genetic Picture Analysis | 0 |
| 8 | Wrist EMG pattern recognition system by neural networks and genetic algorithms | 5 |
| 9 | A New Approach for Contrast Enhancement Using Sigmoid Function. | 50 |
| 10 | 1 | |
| 11 | Number Plate Detection System by Using the Night Images | 2 |
| 12 | Research on drift ice detection from SAR images using bio-information processing | 1 |
| 13 | 3 | |
| 14 | 1 | |
| 15 | Geometric Shape Recognition with Fuzzy Filtered Input to a Backpropagation Neural Network | 7 |
| 16 | 1 | |
| 17 | Approximation of Chaotic Behavior by Using Neural Network (Special Issue on Neurocomputing) | 1 |
| 18 | Approximation of chaotic behavior by using neural network | 2 |
| 19 | ARTIFICIAL BONES AND JOINTS | 0 |
| 20 | 1 |
About Norio Akamatsu
Norio Akamatsu is a scholar working on Computer Vision and Pattern Recognition, Signal Processing and Artificial Intelligence, having authored 98 papers that have together received 612 indexed citations. Recurring topics across this work include Neural Networks and Applications (26 papers), Face and Expression Recognition (20 papers) and Face recognition and analysis (19 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (286 citations), Statistical and Nonlinear Physics (122 citations) and Media Technology (75 citations). Norio Akamatsu has collaborated with scholars based in Japan, Canada and Australia. Frequent co-authors include Minoru Fukumi, Yuzuru Ueda, Yasue Mitsukura, Stephen Karungaru, Hironori Takimoto, Laura Stark, Blake Hannaford, Takuya Akashi, Shin-ichi Ito and Keiji Fukuda. Their work appears in journals such as Expert Systems with Applications, Biological Cybernetics and Applied Intelligence.
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.