Seiichi Uchida

165 papers and 2.7k indexed citations i.

About

Seiichi Uchida is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Molecular Biology. According to data from OpenAlex, Seiichi Uchida has authored 165 papers receiving a total of 2.7k indexed citations (citations by other indexed papers that have themselves been cited), including 98 papers in Computer Vision and Pattern Recognition, 34 papers in Artificial Intelligence and 20 papers in Molecular Biology. Recurrent topics in Seiichi Uchida’s work include Handwritten Text Recognition Techniques (62 papers), Advanced Image and Video Retrieval Techniques (38 papers) and Image Retrieval and Classification Techniques (33 papers). Seiichi Uchida is often cited by papers focused on Handwritten Text Recognition Techniques (62 papers), Advanced Image and Video Retrieval Techniques (38 papers) and Image Retrieval and Classification Techniques (33 papers). Seiichi Uchida collaborates with scholars based in Japan, Germany and United States. Seiichi Uchida's co-authors include Brian Kenji Iwana, Markus Goldstein, Rong Huang, Hiroaki Sakoe, H. Hayashi, Volkmar Frinken, Junichi Ikenouchi, Kana Aoki, Masakazu Suzuki and Akatsuki Kimura and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Nature Communications and The Journal of Cell Biology.

In The Last Decade

Co-authorship network of co-authors of Seiichi Uchida i

Fields of papers citing papers by Seiichi Uchida

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Seiichi Uchida

Since Specialization
Citations

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