Kazuki Kozuka
- Artificial Intelligence top 5%
- Computer Vision and Pattern Recognition top 10%
- Industrial and Manufacturing Engineering top 5%
- Computer Networks and Communications top 10%
- Radiology, Nuclear Medicine and Imaging
- Co-authors
- Shun IshizakaDenis GudovskiyYoshihide SawadaJuan Carlos NieblesJun SatoKoji MorikawaRikiya YamashitaYasuhiro Honda
- Topics
- Advanced Vision and Imaging (3 papers)Optical measurement and interference techniques (3 papers)Robotics and Sensor-Based Localization (3 papers)
- Cited by
- Industrial and Manufacturing EngineeringArtificial IntelligenceComputer Vision and Pattern Recognition
- Journals
- CirculationInternational Journal of Automation and ComputingInternational Journal of E-Health and Medical Communications
- Partner nations
- JapanUnited States
In The Last Decade
Kazuki Kozuka
8 papers receiving 327 citations
Hit Papers
Peers
Comparison fields: 5 of 45
- Artificial Intelligence 258
- Computer Vision and Pattern Recognition 99
- Industrial and Manufacturing Engineering 86
- Computer Networks and Communications 77
- Radiology, Nuclear Medicine and Imaging 39
Countries citing papers authored by Kazuki Kozuka
This map shows the geographic impact of Kazuki Kozuka'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 Kazuki Kozuka with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Kazuki Kozuka more than expected).
Fields of papers citing papers by Kazuki Kozuka
This network shows the impact of papers produced by Kazuki Kozuka. 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 Kazuki Kozuka. The network helps show where Kazuki Kozuka may publish in the future.
Co-authorship network of co-authors of Kazuki Kozuka
This figure shows the co-authorship network connecting the top 25 collaborators of Kazuki Kozuka. A scholar is included among the top collaborators of Kazuki Kozuka 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 Kazuki Kozuka. Kazuki Kozuka 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 | CFLOW-AD: Real-Time Unsupervised Anomaly Detection with Localization via Conditional Normalizing Flowsbreakdown → | 300 |
| 3 | 1 | |
| 4 | 5 | |
| 5 | 14 | |
| 6 | 1 | |
| 7 | 3 | |
| 8 | MULTIPLE VIEW GEOMETRY FOR MIXED DIMENSIONAL CAMERAS | 3 |
| 9 | 0 | |
| 10 | 0 |
About Kazuki Kozuka
Kazuki Kozuka is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Aerospace Engineering, having authored 10 papers that have together received 329 indexed citations. Recurring topics across this work include Advanced Vision and Imaging (3 papers), Optical measurement and interference techniques (3 papers) and Robotics and Sensor-Based Localization (3 papers). The work is most often cited by research in Industrial and Manufacturing Engineering (86 citations), Artificial Intelligence (258 citations) and Computer Vision and Pattern Recognition (99 citations). Kazuki Kozuka has collaborated with scholars based in Japan and United States. Frequent co-authors include Shun Ishizaka, Denis Gudovskiy, Yoshihide Sawada, Juan Carlos Niebles, Jun Sato, Koji Morikawa, Rikiya Yamashita, Yasuhiro Honda, Takayoshi Yamashita and Toyohiko Sakai. Their work appears in journals such as Circulation, International Journal of Automation and Computing and International Journal of E-Health and Medical Communications.
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.