Naohisa Sakamoto

30 papers and 199 indexed citations i.

About

Naohisa Sakamoto is a scholar working on Computer Vision and Pattern Recognition, Computer Graphics and Computer-Aided Design and Computational Mechanics. According to data from OpenAlex, Naohisa Sakamoto has authored 30 papers receiving a total of 199 indexed citations (citations by other indexed papers that have themselves been cited), including 19 papers in Computer Vision and Pattern Recognition, 15 papers in Computer Graphics and Computer-Aided Design and 4 papers in Computational Mechanics. Recurrent topics in Naohisa Sakamoto’s work include Computer Graphics and Visualization Techniques (15 papers), Data Visualization and Analytics (8 papers) and Medical Image Segmentation Techniques (5 papers). Naohisa Sakamoto is often cited by papers focused on Computer Graphics and Visualization Techniques (15 papers), Data Visualization and Analytics (8 papers) and Medical Image Segmentation Techniques (5 papers). Naohisa Sakamoto collaborates with scholars based in Japan and United States. Naohisa Sakamoto's co-authors include Koji Koyamada, Kunihiro Sakamoto, Tameko Kihira, Keiji Yamamoto, S. Sasaki, Yoshihiro Miyake, Kwan‐Liu Ma, Tetsuji Yokoyama, Yutaka Inaba and Kazuhisa Okamoto and has published in prestigious journals such as AJP Endocrinology and Metabolism, Clinical Nutrition and IEEE Transactions on Visualization and Computer Graphics.

In The Last Decade

Co-authorship network of co-authors of Naohisa Sakamoto i

Fields of papers citing papers by Naohisa Sakamoto

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Naohisa Sakamoto

Since Specialization
Citations

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