S. Yuta

119 total papers · 2.8k total citations
102 papers, 1.8k citations indexed

About

S. Yuta is a scholar working on Computer Vision and Pattern Recognition, Aerospace Engineering and Control and Systems Engineering. According to data from OpenAlex, S. Yuta has authored 102 papers receiving a total of 1.8k indexed citations (citations by other indexed papers that have themselves been cited), including 79 papers in Computer Vision and Pattern Recognition, 50 papers in Aerospace Engineering and 48 papers in Control and Systems Engineering. Recurrent topics in S. Yuta's work include Robotic Path Planning Algorithms (72 papers), Robotics and Sensor-Based Localization (48 papers) and Robotics and Automated Systems (25 papers). S. Yuta is often cited by papers focused on Robotic Path Planning Algorithms (72 papers), Robotics and Sensor-Based Localization (48 papers) and Robotics and Automated Systems (25 papers). S. Yuta collaborates with scholars based in Japan, United States and Australia. S. Yuta's co-authors include Akihisa Ohya, Keiji Nagatani, T. Tsubouchi, Shoichi Maeyama, Jeffrey Byrne, Alex Zelinsky, R.A. Jarvis, Masahiro Tomono, Yutaka Kanayama and Kazunori Ohno and has published in prestigious journals such as IEEE Transactions on Industrial Electronics, IEEE Transactions on Magnetics and IEEE Transactions on Instrumentation and Measurement.

In The Last Decade

S. Yuta

98 papers receiving 1.6k citations

Author Peers

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

Author Last Decade Papers Cites
S. Yuta 1.1k 783 783 352 316 102 1.8k
Woojin Chung 986 0.9× 745 1.0× 574 0.7× 215 0.6× 314 1.0× 120 1.7k
Kai‐Tai Song 1.4k 1.2× 819 1.0× 471 0.6× 186 0.5× 357 1.1× 147 2.1k
Nicholas Gans 1.1k 0.9× 683 0.9× 758 1.0× 191 0.5× 263 0.8× 142 1.9k
Antidio Viguria 909 0.8× 551 0.7× 944 1.2× 287 0.8× 158 0.5× 78 1.7k
Anish Pandey 1.1k 1.0× 620 0.8× 487 0.6× 212 0.6× 285 0.9× 70 1.6k
Kazunori Ohno 784 0.7× 392 0.5× 828 1.1× 261 0.7× 290 0.9× 146 1.6k
Subhrajit Bhattacharya 1.1k 1.0× 573 0.7× 563 0.7× 188 0.5× 240 0.8× 71 1.9k
Yoshito Okada 628 0.5× 445 0.6× 632 0.8× 338 1.0× 329 1.0× 65 1.5k
Michael Suppa 1.1k 1.0× 490 0.6× 1.2k 1.5× 213 0.6× 235 0.7× 71 1.9k
Mark W. Mueller 755 0.7× 767 1.0× 838 1.1× 187 0.5× 178 0.6× 53 1.8k

Countries citing papers authored by S. Yuta

Since Specialization
Citations

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

Fields of papers citing papers by S. Yuta

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of S. Yuta

This figure shows the co-authorship network connecting the top 25 collaborators of S. Yuta. A scholar is included among the top collaborators of S. Yuta 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 S. Yuta. S. Yuta 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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