Makoto Okabe

77 total papers · 2.0k total citations
56 papers, 1.5k citations indexed

About

Makoto Okabe is a scholar working on Computer Vision and Pattern Recognition, Computer Graphics and Computer-Aided Design and Computational Mechanics. According to data from OpenAlex, Makoto Okabe has authored 56 papers receiving a total of 1.5k indexed citations (citations by other indexed papers that have themselves been cited), including 26 papers in Computer Vision and Pattern Recognition, 23 papers in Computer Graphics and Computer-Aided Design and 11 papers in Computational Mechanics. Recurrent topics in Makoto Okabe's work include Computer Graphics and Visualization Techniques (23 papers), Advanced Vision and Imaging (12 papers) and 3D Shape Modeling and Analysis (9 papers). Makoto Okabe is often cited by papers focused on Computer Graphics and Visualization Techniques (23 papers), Advanced Vision and Imaging (12 papers) and 3D Shape Modeling and Analysis (9 papers). Makoto Okabe collaborates with scholars based in Japan, France and United States. Makoto Okabe's co-authors include Shigeru Owada, Ivan Poupyrev, Yuki Igarashi, Rikio Onai, Takashi Ijiri, Takeo Igarashi, Hajime Satō, Tatsuo Kawai, Shigeaki Maruyama and Susumu Isobe and has published in prestigious journals such as The Plant Journal, Materials Science and Engineering A and Computer Methods in Applied Mechanics and Engineering.

In The Last Decade

Makoto Okabe

52 papers receiving 1.4k citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Makoto Okabe 386 357 266 244 225 56 1.5k
Jian Sun 383 1.0× 54 0.2× 51 0.2× 144 0.6× 367 1.6× 46 1.1k
Bruce J. Schachter 472 1.2× 370 1.0× 219 0.8× 69 0.3× 35 0.2× 23 1.4k
John C. Beatty 589 1.5× 308 0.9× 504 1.9× 126 0.5× 18 0.1× 24 1.4k
Francisco José Serón Arbeloa 401 1.0× 332 0.9× 163 0.6× 14 0.1× 271 1.2× 107 1.2k
Hans Hagen 765 2.0× 516 1.4× 390 1.5× 73 0.3× 15 0.1× 125 1.6k
Lars Linsen 685 1.8× 416 1.2× 373 1.4× 101 0.4× 10 0.0× 149 1.5k
Won‐Ki Jeong 678 1.8× 257 0.7× 368 1.4× 18 0.1× 64 0.3× 85 1.7k
Takayuki Okatani 1.1k 2.8× 91 0.3× 183 0.7× 130 0.5× 20 0.1× 121 1.7k
Ardeshir Goshtasby 1.2k 3.2× 94 0.3× 158 0.6× 81 0.3× 13 0.1× 34 1.8k
Falko Kuester 529 1.4× 152 0.4× 65 0.2× 82 0.3× 16 0.1× 148 1.7k

Countries citing papers authored by Makoto Okabe

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

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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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