Yoshihiko Nakamura

20.7k total citations · 2 hit papers
597 papers, 14.4k citations indexed

About

Yoshihiko Nakamura is a scholar working on Control and Systems Engineering, Biomedical Engineering and Computer Vision and Pattern Recognition. According to data from OpenAlex, Yoshihiko Nakamura has authored 597 papers receiving a total of 14.4k indexed citations (citations by other indexed papers that have themselves been cited), including 285 papers in Control and Systems Engineering, 242 papers in Biomedical Engineering and 189 papers in Computer Vision and Pattern Recognition. Recurrent topics in Yoshihiko Nakamura's work include Robot Manipulation and Learning (116 papers), Robotic Locomotion and Control (115 papers) and Human Pose and Action Recognition (91 papers). Yoshihiko Nakamura is often cited by papers focused on Robot Manipulation and Learning (116 papers), Robotic Locomotion and Control (115 papers) and Human Pose and Action Recognition (91 papers). Yoshihiko Nakamura collaborates with scholars based in Japan, United States and Germany. Yoshihiko Nakamura's co-authors include Hideo Hanafusa, Katsu Yamane, Tsuneo Yoshikawa, Ranjan Mukherjee, Tomomichi Sugihara, Wataru Takano, Christian Ott, Dana Kulić, T. R. Oke and Giuseppe Oriolo and has published in prestigious journals such as SHILAP Revista de lepidopterología, Journal of Applied Physics and Oncogene.

In The Last Decade

Yoshihiko Nakamura

564 papers receiving 13.6k citations

Hit Papers

Inverse Kinematic Solutions With Singularity Robustness f... 1986 2026 1999 2012 1986 1987 250 500 750
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.

  1. Inverse Kinematic Solutions With Singularity Robustness for Robot Manipulator Control
    1986 798 citations Yoshihiko Nakamura et al. profile →
  2. Task-Priority Based Redundancy Control of Robot Manipulators
    1987 773 citations Yoshihiko Nakamura, Tsuneo Yoshikawa et al. profile →

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Yoshihiko Nakamura Japan 58 7.8k 5.9k 3.8k 1.8k 1.3k 597 14.4k
Toshio Fukuda Japan 63 6.2k 0.8× 10.8k 1.8× 2.3k 0.6× 5.3k 2.9× 1.3k 1.0× 1.8k 22.9k
Zhijun Li China 77 9.8k 1.3× 5.5k 0.9× 3.0k 0.8× 3.1k 1.7× 1.4k 1.1× 666 19.0k
Chenguang Yang China 75 12.8k 1.6× 4.6k 0.8× 2.6k 0.7× 3.3k 1.8× 1.7k 1.3× 668 19.0k
Min Tan China 59 3.4k 0.4× 2.6k 0.4× 2.5k 0.7× 2.0k 1.1× 3.5k 2.7× 703 14.7k
Bruno Siciliano Italy 53 11.8k 1.5× 6.5k 1.1× 3.4k 0.9× 4.7k 2.6× 1.9k 1.4× 327 16.5k
Rajni V. Patel Canada 53 4.5k 0.6× 5.0k 0.8× 1.3k 0.3× 2.8k 1.5× 679 0.5× 544 11.0k
Joris De Schutter Belgium 42 4.7k 0.6× 2.4k 0.4× 1.2k 0.3× 2.2k 1.2× 878 0.7× 363 8.1k
Demetri Terzopoulos United States 61 3.7k 0.5× 2.6k 0.4× 19.3k 5.1× 769 0.4× 2.3k 1.7× 249 29.1k
H. Harry Asada United States 51 3.1k 0.4× 5.1k 0.9× 845 0.2× 1.9k 1.0× 362 0.3× 435 9.5k
Howie Choset United States 54 4.4k 0.6× 5.6k 0.9× 6.9k 1.8× 3.7k 2.1× 4.7k 3.6× 378 14.7k

Countries citing papers authored by Yoshihiko Nakamura

Since Specialization
Citations

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

Fields of papers citing papers by Yoshihiko Nakamura

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yoshihiko Nakamura

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

All Works

20 of 20 papers shown
1.
Takano, Wataru, et al.. (2018). Linguistic interpretation of human behavior by using motion symbol and corpus. The Proceedings of JSME annual Conference on Robotics and Mechatronics (Robomec). 2018(0). 2P2–B18.
2.
Oda, Masahiro, et al.. (2016). Precise renal artery segmentation for estimation of renal vascular dominant regions. 9784. 2 indexed citations
3.
Kaminaga, Hiroshi, et al.. (2014). 1A1-I04 Force Control of an Electro-Hydrostatic Actuator Using Motor Velocity Control(Force Controlled Hydraulic Robots (1)). The Proceedings of JSME annual Conference on Robotics and Mechatronics (Robomec). 2014(0). _1A1–I04_1. 1 indexed citations
4.
Takano, Wataru, Junichi Ishikawa, & Yoshihiko Nakamura. (2012). 2A1-Q03 Design of a Large-Scale Motion Database which enables Recovery of 3D Motion from 2D images(Informative Motion & Motion Media). The Proceedings of JSME annual Conference on Robotics and Mechatronics (Robomec). 2012(0). _2A1–Q03_1. 1 indexed citations
5.
Kaminaga, Hiroshi, Hoang‐Phuong Phan, Hirokazu Tanaka, & Yoshihiko Nakamura. (2011). 2P2-F02 Power Augmenting Control of Knee Power Assist Device Using Sensitivity Maximization with Supplemental Usage of Surface EMG Signal(Welfare Robotics and Mechatronics(2)). The Proceedings of JSME annual Conference on Robotics and Mechatronics (Robomec). 2011(0). _2P2–F02_1. 1 indexed citations
6.
Ott, Christian, Ranjan Mukherjee, & Yoshihiko Nakamura. (2010). Unified Impedance and Admittance Control. 554–561. 249 indexed citations
7.
Kulić, Dana, Gentiane Venture, & Yoshihiko Nakamura. (2009). Detecting changes in motion characteristics during sports training. PubMed. 14. 4011–4014. 9 indexed citations
8.
Ayusawa, Ko, Gentiane Venture, & Yoshihiko Nakamura. (2008). 2P1-F09 Inertial Parameters Identifiability of Humanoid Robot Based on the Baselink Equation of Motion. The Proceedings of JSME annual Conference on Robotics and Mechatronics (Robomec). 2008(0). _2P1–F09_1. 4 indexed citations
9.
Ayusawa, Ko, et al.. (2008). 1A1-B08 Development of Joint Driving Mechanism with Rigid Torque Sensor and its Torque Control Systems. The Proceedings of JSME annual Conference on Robotics and Mechatronics (Robomec). 2008(0). _1A1–B08_1. 1 indexed citations
10.
Yamaguchi, Yoshifumi, Katsu Yamane, & Yoshihiko Nakamura. (2008). 1P1-J18 A Large-scale Human Motion Database and Its Application to Character Animation. The Proceedings of JSME annual Conference on Robotics and Mechatronics (Robomec). 2008(0). _1P1–J18_1. 3 indexed citations
11.
Sugihara, Tomomichi, et al.. (2007). 1A1-C01 Stepping Motion Planning of Humanoid Robots Based on an Optimal Control of Inverted Pendulum. The Proceedings of JSME annual Conference on Robotics and Mechatronics (Robomec). 2007(0). _1A1–C01_1. 1 indexed citations
12.
Yamaguchi, Yoshifumi, Katsu Yamane, & Yoshihiko Nakamura. (2006). 2A1-D07 Identification of Muscle, Tendon, and Mass Parameters of Musculoskeletal Human Model. The Proceedings of JSME annual Conference on Robotics and Mechatronics (Robomec). 2006(0). _2A1–D07_1. 3 indexed citations
13.
Yamane, Katsu, et al.. (2006). 2A1-D33 Choreography of Humanoid Robots with Hand Motion Capture System. The Proceedings of JSME annual Conference on Robotics and Mechatronics (Robomec). 2006(0). _2A1–D33_1. 1 indexed citations
14.
Nakamura, Yoshihiko, et al.. (2006). A study on blood vessel segmentation and lymph node detection from 3D abdominal X-ray CT images. International Journal of Computer Assisted Radiology and Surgery. 1. 381–382. 2 indexed citations
15.
Hayashibe, Mitsuhiro, et al.. (2005). Development of a 3D visualization system for surgical field deformation with geometric pattern projection.. PubMed. 111. 172–7. 3 indexed citations
16.
Takano, Wataru, et al.. (2005). 1P1-S-009 Motion Recognition by Hierarchization and Combination of Statistical Motion Models(Emergent Dynamic Approach for Intelligence,Mega-Integration in Robotics and Mechatronics to Assist Our Daily Lives). The Proceedings of JSME annual Conference on Robotics and Mechatronics (Robomec). 2005(0). 77–77. 1 indexed citations
17.
Inamura, Tetsunari, H. Tanie, & Yoshihiko Nakamura. (2003). From stochastic motion generation and recognition to geometric symbol development and manipulation. 15 indexed citations
18.
Sugihara, Tomomichi & Yoshihiko Nakamura. (2002). Whole-body Cooperative Balancing of Humanoid Robot using COG Jacobian. The Proceedings of JSME annual Conference on Robotics and Mechatronics (Robomec). 2002(0). 102–102. 5 indexed citations
19.
Nakamura, Yoshihiko, et al.. (2001). 2P1-B11 Recognition, memorization and generation of human motion pattern by an Associative MEmory. The Proceedings of JSME annual Conference on Robotics and Mechatronics (Robomec). 2001(0). 55–55. 1 indexed citations
20.
Nakamura, Yoshihiko, et al.. (1988). Design and signal processing of six-axis force sensors. International Symposium on Robotics. 75–81. 27 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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