Taku Senoo

1.2k total citations
96 papers, 873 citations indexed

About

Taku Senoo is a scholar working on Control and Systems Engineering, Biomedical Engineering and Computer Vision and Pattern Recognition. According to data from OpenAlex, Taku Senoo has authored 96 papers receiving a total of 873 indexed citations (citations by other indexed papers that have themselves been cited), including 54 papers in Control and Systems Engineering, 49 papers in Biomedical Engineering and 37 papers in Computer Vision and Pattern Recognition. Recurrent topics in Taku Senoo's work include Robot Manipulation and Learning (45 papers), Soft Robotics and Applications (23 papers) and Robotic Mechanisms and Dynamics (21 papers). Taku Senoo is often cited by papers focused on Robot Manipulation and Learning (45 papers), Soft Robotics and Applications (23 papers) and Robotic Mechanisms and Dynamics (21 papers). Taku Senoo collaborates with scholars based in Japan, Switzerland and Sweden. Taku Senoo's co-authors include Masatoshi Ishikawa, Akio Namiki, Yuji Yamakawa, Kenichi Murakami, Idaku Ishii, Kohei Shimasaki, Makoto Shimojo, Keisuke Koyama, Shaopeng Hu and Mingjun Jiang and has published in prestigious journals such as Sensors, Surgical Endoscopy and IEEE Transactions on Instrumentation and Measurement.

In The Last Decade

Taku Senoo

84 papers receiving 806 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Taku Senoo Japan	16	489	368	312	152	143	96	873
Yuji Yamakawa Japan	15	508 1.0×	339 0.9×	213 0.7×	186 1.2×	120 0.8×	142	858
Fernando Reyes Mexico	16	728 1.5×	171 0.5×	237 0.8×	189 1.2×	110 0.8×	73	972
Mamoru Minami Japan	17	400 0.8×	244 0.7×	607 1.9×	149 1.0×	460 3.2×	247	1.2k
Berthold Bäuml Germany	18	599 1.2×	435 1.2×	347 1.1×	149 1.0×	182 1.3×	42	960
Moon-Hong Baeg South Korea	12	456 0.9×	301 0.8×	159 0.5×	157 1.0×	100 0.7×	50	692
M. Hähnle Germany	6	433 0.9×	334 0.9×	151 0.5×	184 1.2×	70 0.5×	7	675
Max Schwarz Germany	15	351 0.7×	194 0.5×	457 1.5×	229 1.5×	294 2.1×	33	950
Harvey Lipkin United States	20	1.2k 2.5×	623 1.7×	394 1.3×	402 2.6×	157 1.1×	55	1.7k
Manuel Beschi Italy	20	905 1.9×	220 0.6×	173 0.6×	272 1.8×	52 0.4×	94	1.3k

Countries citing papers authored by Taku Senoo

Since Specialization

Citations

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

Fields of papers citing papers by Taku Senoo

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Taku Senoo

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

Abe, Takashige, Madoka Higuchi, Kiyohiko Hotta, et al.. (2024). Surgical skill analysis focused on tissue traction in laparoscopic wet lab training. Surgery Open Science. 21. 7–13.

Senoo, Taku, et al.. (2023). Paper handling of paper shapes with multi-fingered robot hand using high-speed image processing. The Proceedings of JSME annual Conference on Robotics and Mechatronics (Robomec). 2023(0). 2A2–E04.

Senoo, Taku, et al.. (2023). Force Sensorless Physical Interaction Based on Plastic Behavior Control Without Inertia Shaping. 9. 1872–1877.

Tsujita, Teppei, et al.. (2023). Proposal of Simulation-Based Surgical Navigation and Development of Laparoscopic Surgical Simulator that Reflects Motion of Surgical Instruments in Real-World. International Journal of Automation Technology. 17(3). 262–276. 5 indexed citations

Kumar, Deepak, Sushil Raut, Kohei Shimasaki, Taku Senoo, & Idaku Ishii. (2021). Projection-mapping-based object pointing using a high-frame-rate camera-projector system. ROBOMECH Journal. 8(1). 4 indexed citations

Hirano, Masahiro, Yuji Yamakawa, Taku Senoo, & Masatoshi Ishikawa. (2021). An acceleration method for correlation-based high-speed object tracking. Measurement Sensors. 18. 100258–100258. 1 indexed citations

Hirano, Masahiro, et al.. (2020). Real-Time Traffic Light Detection with Frequency Patterns Using a High-Speed Camera. Sensors. 20(14). 4035–4035. 10 indexed citations

Murakami, Kenichi, et al.. (2020). Human Robot Hand Interaction with Plastic Deformation Control. Robotics. 9(3). 73–73. 2 indexed citations

Koyama, Keisuke, Makoto Shimojo, Taku Senoo, & Masatoshi Ishikawa. (2019). Development and Application of Low-friction, Compact Size Actuator “MagLinkage”. The Proceedings of JSME annual Conference on Robotics and Mechatronics (Robomec). 2019(0). 2P1–H02. 4 indexed citations

10.

Senoo, Taku, Yuji Yamakawa, Keisuke Koyama, et al.. (2019). Dynamic Intelligent Systems Based on High-Speed Vision. Journal of Robotics and Mechatronics. 31(1). 45–56. 9 indexed citations

11.

Yamakawa, Yuji, et al.. (2018). Control of Elastic Robot Arm by Feedback of Shape Information with High-speed Vision. Transactions of the Society of Instrument and Control Engineers. 54(5). 468–475. 2 indexed citations

12.

Yamakawa, Yuji, et al.. (2016). Strategy for screwing nut with high-speed robot hand using high-speed visual feedback. The Proceedings of JSME annual Conference on Robotics and Mechatronics (Robomec). 2016(0). 2P1–04a3. 1 indexed citations

13.

Senoo, Taku, et al.. (2016). Deformation control of a multijoint manipulator based on maxwell and voigt models. 9. 2711–2716. 7 indexed citations

14.

Koike, M., Kenichi Murakami, Taku Senoo, & Masatoshi Ishikawa. (2015). Visual shock absorber based on plastic deformation control. 656–661. 1 indexed citations

15.

Yamakawa, Yuji, et al.. (2014). Manipulation model of thread-rotor object by a robotic hand for high-speed visual feedback control. 924–930. 2 indexed citations

16.

Senoo, Taku, Yuji Yamakawa, Yoshihiro Watanabe, Hiromasa Oku, & Masatoshi Ishikawa. (2014). High-Speed Vision and its Application Systems. Journal of Robotics and Mechatronics. 26(3). 287–301. 14 indexed citations

17.

Senoo, Taku, Akio Namiki, & Masatoshi Ishikawa. (2008). 1A1-I14 High-speed Throwing Motion Based on Kinetic Chain Swing Model. The Proceedings of JSME annual Conference on Robotics and Mechatronics (Robomec). 2008(0). _1A1–I14_1. 2 indexed citations

18.

Senoo, Taku, Akio Namiki, & Masatoshi Ishikawa. (2007). 1A2-F10 High-speed Throwing Motion Based on Wave Propagation. The Proceedings of JSME annual Conference on Robotics and Mechatronics (Robomec). 2007(0). _1A2–F10_1. 2 indexed citations

19.

Senoo, Taku, et al.. (2007). Realtime collision avoidance using a robot manipulator with light-weight small high-speed vision systems. Proceedings - IEEE International Conference on Robotics and Automation/Proceedings. 794–799. 34 indexed citations

20.

Namiki, Akio, et al.. (2006). Visuomotor Integration in High-speed Manipulation System. 2006 SICE-ICASE International Joint Conference. 4192–4197. 5 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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