Kiichi Urahama

103 papers and 268 indexed citations i.

About

Kiichi Urahama is a scholar working on Computer Vision and Pattern Recognition, Media Technology and Artificial Intelligence. According to data from OpenAlex, Kiichi Urahama has authored 103 papers receiving a total of 268 indexed citations (citations by other indexed papers that have themselves been cited), including 60 papers in Computer Vision and Pattern Recognition, 22 papers in Media Technology and 18 papers in Artificial Intelligence. Recurrent topics in Kiichi Urahama’s work include Advanced Vision and Imaging (24 papers), Image Enhancement Techniques (18 papers) and Image and Signal Denoising Methods (16 papers). Kiichi Urahama is often cited by papers focused on Advanced Vision and Imaging (24 papers), Image Enhancement Techniques (18 papers) and Image and Signal Denoising Methods (16 papers). Kiichi Urahama collaborates with scholars based in Japan, Slovenia and Italy. Kiichi Urahama's co-authors include Kohei Inoue, Kenji Hara, Kiyoshi Toko, Yasunori Furukawa, Kaoru Yamafuji, Z. Yu, Junsaku Nitta, Wenchao Du, Tadashi Yamada and Kenji Hara and has published in prestigious journals such as Pattern Recognition, Journal of the Physical Society of Japan and Neural Computation.

In The Last Decade

Co-authorship network of co-authors of Kiichi Urahama i

Fields of papers citing papers by Kiichi Urahama

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Kiichi Urahama

Since Specialization
Citations

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