Ryota Natsume
- Computer Vision and Pattern Recognition top 1%
- Computational Mechanics top 2%
- Computer Graphics and Computer-Aided Design top 1%
- Control and Systems Engineering top 10%
- Geology top 10%
- Co-authors
- Shigeo MorishimaZeng HuangHao LiShunsuke SaitoAngjoo KanazawaWeikai ChenChongyang MaTakuya Kato
- Topics
- Advanced Vision and Imaging (3 papers)3D Shape Modeling and Analysis (2 papers)Generative Adversarial Networks and Image Synthesis (2 papers)
- Cited by
- Computer Graphics and Computer-Aided DesignComputer Vision and Pattern RecognitionComputational Mechanics
- Journals
- Computer Vision and Pattern Recognition
- Partner nations
- JapanUnited StatesSingapore
In The Last Decade
Ryota Natsume
3 papers receiving 752 citations
Hit Papers
Peers
Comparison fields: 5 of 53
- Computer Vision and Pattern Recognition 679
- Computational Mechanics 549
- Computer Graphics and Computer-Aided Design 317
- Control and Systems Engineering 67
- Geology 42
Countries citing papers authored by Ryota Natsume
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).
Fields of papers citing papers by Ryota Natsume
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.
Co-authorship network of co-authors of Ryota Natsume
This figure shows the co-authorship network connecting the top 25 collaborators of Ryota Natsume. A scholar is included among the top collaborators of Ryota Natsume based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Ryota Natsume. Ryota Natsume is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | Generating video from single image and sound | 3 |
| 2 | PIFu: Pixel-Aligned Implicit Function for High-Resolution Clothed Human Digitizationbreakdown → | 664 |
| 3 | 121 |
About Ryota Natsume
Ryota Natsume is a scholar working on Computer Vision and Pattern Recognition, Computational Mechanics and Infectious Diseases, having authored 3 papers that have together received 788 indexed citations. Recurring topics across this work include Advanced Vision and Imaging (3 papers), 3D Shape Modeling and Analysis (2 papers) and Generative Adversarial Networks and Image Synthesis (2 papers). The work is most often cited by research in Computer Graphics and Computer-Aided Design (317 citations), Computer Vision and Pattern Recognition (679 citations) and Computational Mechanics (549 citations). Ryota Natsume has collaborated with scholars based in Japan, United States and Singapore. Frequent co-authors include Shigeo Morishima, Zeng Huang, Hao Li, Shunsuke Saito, Angjoo Kanazawa, Weikai Chen, Chongyang Ma and Takuya Kato. Their work appears in journals such as Computer Vision and Pattern Recognition.
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.