Tetsu Matsukawa

18 papers and 84 indexed citations i.

About

Tetsu Matsukawa is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Biomedical Engineering. According to data from OpenAlex, Tetsu Matsukawa has authored 18 papers receiving a total of 84 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Computer Vision and Pattern Recognition, 8 papers in Artificial Intelligence and 2 papers in Biomedical Engineering. Recurrent topics in Tetsu Matsukawa’s work include Anomaly Detection Techniques and Applications (7 papers), Multimodal Machine Learning Applications (5 papers) and Advanced Image and Video Retrieval Techniques (5 papers). Tetsu Matsukawa is often cited by papers focused on Anomaly Detection Techniques and Applications (7 papers), Multimodal Machine Learning Applications (5 papers) and Advanced Image and Video Retrieval Techniques (5 papers). Tetsu Matsukawa collaborates with scholars based in Japan, Germany and France. Tetsu Matsukawa's co-authors include Einoshin Suzuki, Takahiro Okabe, Yoichi Sato, Gilles Walch, Pascal Boileau, U. Brunner, Philippe Collin, Takio Kurita, Hirofumi Fujita and Yuanyuan Li and has published in prestigious journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence, Pattern Recognition and International Orthopaedics.

In The Last Decade

Co-authorship network of co-authors of Tetsu Matsukawa i

Fields of papers citing papers by Tetsu Matsukawa

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Tetsu Matsukawa. 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 Tetsu Matsukawa. The network helps show where Tetsu Matsukawa may publish in the future.

Countries citing papers authored by Tetsu Matsukawa

Since Specialization
Citations

This map shows the geographic impact of Tetsu Matsukawa'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 Tetsu Matsukawa with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Tetsu Matsukawa more than expected).

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.

Explore authors with similar magnitude of impact

Rankless by CCL
2025