Yutaka Kanayama

2.8k total citations · 1 hit paper
38 papers, 1.8k citations indexed

About

Yutaka Kanayama is a scholar working on Computer Vision and Pattern Recognition, Control and Systems Engineering and Biomedical Engineering. According to data from OpenAlex, Yutaka Kanayama has authored 38 papers receiving a total of 1.8k indexed citations (citations by other indexed papers that have themselves been cited), including 30 papers in Computer Vision and Pattern Recognition, 23 papers in Control and Systems Engineering and 9 papers in Biomedical Engineering. Recurrent topics in Yutaka Kanayama's work include Robotic Path Planning Algorithms (28 papers), Control and Dynamics of Mobile Robots (18 papers) and Robotic Locomotion and Control (9 papers). Yutaka Kanayama is often cited by papers focused on Robotic Path Planning Algorithms (28 papers), Control and Dynamics of Mobile Robots (18 papers) and Robotic Locomotion and Control (9 papers). Yutaka Kanayama collaborates with scholars based in United States, Japan and Slovenia. Yutaka Kanayama's co-authors include Takao Noguchi, Yuuki Kimura, F. Miyazaki, S. Yuta, F. Fahroo, Shin’ichi Yuta, Don Brutzman, Kenji Suzuki, Neil C. Rowe and Kan YONEDA and has published in prestigious journals such as The International Journal of Robotics Research, IEEE Transactions on Robotics and Automation and Advanced Robotics.

In The Last Decade

Yutaka Kanayama

37 papers receiving 1.7k citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

A stable tracking control method for an autonomous mobile robot

2002 1.0k citations Yutaka Kanayama et al. profile →

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name	h						Papers	Cites
Yutaka Kanayama United States	14	1.5k	1.4k	524	273	205	38	1.8k
G. Campion Belgium	20	1.9k 1.3×	1.3k 0.9×	786 1.5×	137 0.5×	124 0.6×	52	2.1k
Takanori Fukao Japan	18	898 0.6×	679 0.5×	251 0.5×	254 0.9×	126 0.6×	101	1.5k
Florent Lamiraux France	23	1.1k 0.7×	1.2k 0.8×	644 1.2×	515 1.9×	68 0.3×	63	1.8k
Matt Zucker United States	11	878 0.6×	1.2k 0.9×	359 0.7×	588 2.2×	96 0.5×	15	1.6k
Philippe Martinet France	28	1.4k 0.9×	1.2k 0.8×	393 0.8×	589 2.2×	198 1.0×	160	2.5k
Woojin Chung South Korea	22	747 0.5×	986 0.7×	314 0.6×	574 2.1×	112 0.5×	120	1.7k
Yuuki Kimura Japan	4	1.0k 0.7×	929 0.6×	358 0.7×	120 0.4×	165 0.8×	6	1.2k
S. Yuta Japan	24	784 0.5×	1.1k 0.8×	316 0.6×	783 2.9×	197 1.0×	102	1.8k
Gregor Klančar Slovenia	17	812 0.6×	759 0.5×	205 0.4×	274 1.0×	131 0.6×	68	1.2k
Jorge L. Martínez Spain	21	715 0.5×	819 0.6×	408 0.8×	529 1.9×	63 0.3×	79	1.6k

Countries citing papers authored by Yutaka Kanayama

Since Specialization

Citations

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

Fields of papers citing papers by Yutaka Kanayama

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yutaka Kanayama

This figure shows the co-authorship network connecting the top 25 collaborators of Yutaka Kanayama. A scholar is included among the top collaborators of Yutaka Kanayama 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 Yutaka Kanayama. Yutaka Kanayama is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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20 of 20 papers shown

1.

Brutzman, Don, et al.. (2005). Autonomous Sonar Classification Using Expert Systems. 2. 554–559. 5 indexed citations

2.

Kanayama, Yutaka, et al.. (2005). Least Cost Paths With Algebraic Cost Functions. i. 341–346. 1 indexed citations

3.

Kanayama, Yutaka. (2003). Least cost paths with algebraic cost functions. Part 1. 55. 75–80. 3 indexed citations

4.

Kanayama, Yutaka, et al.. (2002). It's time to make mobile robots programmable. 1. 329–334. 6 indexed citations

5.

Kanayama, Yutaka, et al.. (2002). Two dimensional transformations and its application to vehicle motion control and analysis. Zenodo (CERN European Organization for Nuclear Research). 13–18. 6 indexed citations

6.

Kanayama, Yutaka. (2002). "Rotary vehicle" that moves with three degrees of freedom. 713–718. 2 indexed citations

7.

YONEDA, Kan, et al.. (1997). Gait and foot trajectory planning for versatile motions of a six-legged robot. Journal of Robotic Systems. 14(2). 121–133. 22 indexed citations

8.

Kanayama, Yutaka, et al.. (1997). Smooth Local-Path Planning for Autonomous Vehicles1. The International Journal of Robotics Research. 16(3). 263–284. 87 indexed citations

9.

Kanayama, Yutaka & Fariba Fahroo. (1997). A Circle Tracking Method for Nonholonomic Vehicles. IFAC Proceedings Volumes. 30(20). 531–538. 1 indexed citations

10.

Suzuki, Kenji, et al.. (1995). Experimental Study of Versatile Motion Planning for a Six Legged Robot over Uneven Terrains. V11–V11. 1 indexed citations

11.

Suzuki, Kenji, et al.. (1995). An International Joint Research Project on an Autonomous Underwater Walking Robot. 1 indexed citations

12.

Rowe, Neil C. & Yutaka Kanayama. (1994). Near-Minimum-Energy Paths on a Vertical-Axis Cone With Anisotropic Friction and Gravity Effects. The International Journal of Robotics Research. 13(5). 408–433. 9 indexed citations

13.

Tsubouchi, Takashi, Yutaka Kanayama, & Shin’ichi Yuta. (1986). Line segment extraction by area generation according to gradient direction of pixels and least square fitting.. Journal of the Robotics Society of Japan. 4(3). 220–230. 1 indexed citations

14.

Yamaguchi, Junichi, et al.. (1985). DEVELOPMENT OF A MOBILE ROBOT FOR SECURITY GUARD.. 14 indexed citations

15.

Kanayama, Yutaka, et al.. (1985). Inplementation of RCS-OS for intelligent robot.. Journal of the Robotics Society of Japan. 3(5). 432–443. 2 indexed citations

16.

Kanayama, Yutaka. (1984). Trajectory generation for mobile robots. Medical Entomology and Zoology. 333–340. 121 indexed citations

17.

Kanayama, Yutaka, et al.. (1984). Robot intelligence: Predictions and hopes for the future.. Journal of the Robotics Society of Japan. 2(6). 612–618.

18.

Kanayama, Yutaka, et al.. (1984). A locomotion module for wheeled mobile robots.. Journal of the Robotics Society of Japan. 2(5). 402–416. 2 indexed citations

19.

Kanayama, Yutaka. (1983). Concurrent programming of intelligent robots. International Joint Conference on Artificial Intelligence. 834–838. 22 indexed citations

20.

Kanayama, Yutaka, et al.. (1981). A locomotion control system for mobile robots. International Joint Conference on Artificial Intelligence. 29(11). 779–784. 11 indexed citations

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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