Ryota Natsume

3 papers and 718 indexed citations i.

About

Ryota Natsume is a scholar working on Computer Vision and Pattern Recognition, Computational Mechanics and Industrial relations. According to data from OpenAlex, Ryota Natsume has authored 3 papers receiving a total of 718 indexed citations (citations by other indexed papers that have themselves been cited), including 3 papers in Computer Vision and Pattern Recognition, 2 papers in Computational Mechanics and 0 papers in Industrial relations. Recurrent topics in Ryota Natsume’s work include Advanced Vision and Imaging (3 papers), Generative Adversarial Networks and Image Synthesis (2 papers) and 3D Shape Modeling and Analysis (2 papers). Ryota Natsume is often cited by papers focused on Advanced Vision and Imaging (3 papers), Generative Adversarial Networks and Image Synthesis (2 papers) and 3D Shape Modeling and Analysis (2 papers). Ryota Natsume collaborates with scholars based in Japan and United States. Ryota Natsume's co-authors include Shunsuke Saito, Hao Li, Zeng Huang, Shigeo Morishima, Angjoo Kanazawa, Weikai Chen, Chongyang Ma and Takuya Kato and has published in prestigious journals such as 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2021 IEEE/CVF International Conference on Computer Vision (ICCV) and Computer Vision and Pattern Recognition.

In The Last Decade

Co-authorship network of co-authors of Ryota Natsume i

Fields of papers citing papers by Ryota Natsume

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Ryota Natsume

Since Specialization
Citations

This map shows the geographic impact of Ryota Natsume'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 Ryota Natsume with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ryota Natsume 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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2025