Makoto Okabe
- Computer Vision and Pattern Recognition top 2%
- Computer Graphics and Computer-Aided Design top 0.5%
- Computational Mechanics top 5%
- Mechanical Engineering top 10%
- Geophysics top 10%
- Co-authors
- Shigeru OwadaIvan PoupyrevYuki IgarashiRikio OnaiTakashi IjiriTakeo IgarashiTatsuo KawaiHajime Satō
- Topics
- Computer Graphics and Visualization Techniques (23 papers)Advanced Vision and Imaging (12 papers)3D Shape Modeling and Analysis (9 papers)
- Cited by
- Computer Graphics and Computer-Aided DesignHuman-Computer InteractionComputer Vision and Pattern Recognition
- Partner nations
- JapanUnited StatesIreland
In The Last Decade
Makoto Okabe
52 papers receiving 1.4k citations
Peers
Comparison fields: 5 of 95
- Computer Vision and Pattern Recognition 387
- Computer Graphics and Computer-Aided Design 357
- Computational Mechanics 266
- Mechanical Engineering 245
- Geophysics 224
Countries citing papers authored by Makoto Okabe
This map shows the geographic impact of Makoto Okabe'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 Makoto Okabe with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Makoto Okabe more than expected).
Fields of papers citing papers by Makoto Okabe
This network shows the impact of papers produced by Makoto Okabe. 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 Makoto Okabe. The network helps show where Makoto Okabe may publish in the future.
Co-authorship network of co-authors of Makoto Okabe
This figure shows the co-authorship network connecting the top 25 collaborators of Makoto Okabe. A scholar is included among the top collaborators of Makoto Okabe 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 Makoto Okabe. Makoto Okabe is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 4 | |
| 2 | 3 | |
| 3 | 8 | |
| 4 | 6 | |
| 5 | Detection of Text Area Inserted by Image Editing | 1 |
| 6 | 1 | |
| 7 | 18 | |
| 8 | 17 | |
| 9 | 29 | |
| 10 | 126 | |
| 11 | 1 | |
| 12 | 0 | |
| 13 | 63 | |
| 14 | 12 | |
| 15 | 9 | |
| 16 | 6 | |
| 17 | 51 | |
| 18 | 4 | |
| 19 | Penalty Method to a Two-Body Contact Problem | 1 |
| 20 | 229 |
About Makoto Okabe
Makoto Okabe is a scholar working on Computer Graphics and Computer-Aided Design, Computer Vision and Pattern Recognition and Human-Computer Interaction, having authored 56 papers that have together received 1.5k indexed citations. Recurring topics across this work include Computer Graphics and Visualization Techniques (23 papers), Advanced Vision and Imaging (12 papers) and 3D Shape Modeling and Analysis (9 papers). The work is most often cited by research in Computer Graphics and Computer-Aided Design (357 citations), Human-Computer Interaction (195 citations) and Computer Vision and Pattern Recognition (387 citations). Makoto Okabe has collaborated with scholars based in Japan, United States and Ireland. Frequent co-authors include Shigeru Owada, Ivan Poupyrev, Yuki Igarashi, Rikio Onai, Takashi Ijiri, Takeo Igarashi, Tatsuo Kawai, Hajime Satō, Takanori Noda and Shigeaki Maruyama. Their work appears in journals such as The Plant Journal, Materials Science and Engineering A and IEEE Access.
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.