Norimichi Ukita

67 papers and 1.7k indexed citations i.

About

Norimichi Ukita is a scholar working on Computer Vision and Pattern Recognition, Human-Computer Interaction and Artificial Intelligence. According to data from OpenAlex, Norimichi Ukita has authored 67 papers receiving a total of 1.7k indexed citations (citations by other indexed papers that have themselves been cited), including 54 papers in Computer Vision and Pattern Recognition, 12 papers in Human-Computer Interaction and 7 papers in Artificial Intelligence. Recurrent topics in Norimichi Ukita’s work include Advanced Vision and Imaging (26 papers), Video Surveillance and Tracking Methods (22 papers) and Human Pose and Action Recognition (20 papers). Norimichi Ukita is often cited by papers focused on Advanced Vision and Imaging (26 papers), Video Surveillance and Tracking Methods (22 papers) and Human Pose and Action Recognition (20 papers). Norimichi Ukita collaborates with scholars based in Japan, United States and Indonesia. Norimichi Ukita's co-authors include Muhammad Haris, Greg Shakhnarovich, Gregory Shakhnarovich, Takashi Matsuyama, Takahiro Maeda, Hiroyoshi Adachi, Takashi Kudo, Hiroki Tanaka, Satoshi Nakamura and Manabu Ikeda and has published in prestigious journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence, Proceedings of the IEEE and IEEE Transactions on Medical Imaging.

In The Last Decade

Co-authorship network of co-authors of Norimichi Ukita i

Fields of papers citing papers by Norimichi Ukita

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Norimichi Ukita

Since Specialization
Citations

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

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