Keisuke Koyama

792 total citations
57 papers, 586 citations indexed

About

Keisuke Koyama is a scholar working on Control and Systems Engineering, Biomedical Engineering and Cognitive Neuroscience. According to data from OpenAlex, Keisuke Koyama has authored 57 papers receiving a total of 586 indexed citations (citations by other indexed papers that have themselves been cited), including 33 papers in Control and Systems Engineering, 24 papers in Biomedical Engineering and 10 papers in Cognitive Neuroscience. Recurrent topics in Keisuke Koyama's work include Robot Manipulation and Learning (32 papers), Soft Robotics and Applications (15 papers) and Robotic Path Planning Algorithms (7 papers). Keisuke Koyama is often cited by papers focused on Robot Manipulation and Learning (32 papers), Soft Robotics and Applications (15 papers) and Robotic Path Planning Algorithms (7 papers). Keisuke Koyama collaborates with scholars based in Japan, France and United States. Keisuke Koyama's co-authors include Makoto Shimojo, Aiguo Ming, Masatoshi Ishikawa, Yosuke Suzuki, Weiwei Wan, Kensuke Harada, Taku Senoo, Hiroaki HASEGAWA, Hosam Alagi and Hubert Zangl and has published in prestigious journals such as SHILAP Revista de lepidopterología, Physical review. B, Condensed matter and IEEE Access.

In The Last Decade

Keisuke Koyama

52 papers receiving 557 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Keisuke Koyama Japan 14 281 280 124 110 79 57 586
Hitoshi Maekawa Japan 15 445 1.6× 417 1.5× 136 1.1× 162 1.5× 60 0.8× 55 700
H. Ishihara Japan 10 158 0.6× 94 0.3× 65 0.5× 113 1.0× 38 0.5× 35 364
Monroe Kennedy United States 9 257 0.9× 92 0.3× 81 0.7× 145 1.3× 51 0.6× 25 421
Yoshihiro Nakabo Japan 13 209 0.7× 158 0.6× 27 0.2× 111 1.0× 229 2.9× 53 625
Te Tang United States 15 198 0.7× 333 1.2× 23 0.2× 72 0.7× 129 1.6× 29 602
Xinyue Tang China 11 305 1.1× 99 0.4× 119 1.0× 58 0.5× 73 0.9× 23 591
Ying Feng China 16 140 0.5× 481 1.7× 30 0.2× 79 0.7× 67 0.8× 64 701
Daisuke Tanaka Japan 11 132 0.5× 88 0.3× 29 0.2× 84 0.8× 37 0.5× 57 413
Hsien-Chung Lin United States 12 225 0.8× 282 1.0× 16 0.1× 73 0.7× 95 1.2× 25 530
Haiming Huang China 10 212 0.8× 138 0.5× 30 0.2× 127 1.2× 40 0.5× 26 356

Countries citing papers authored by Keisuke Koyama

Since Specialization
Citations

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

Fields of papers citing papers by Keisuke Koyama

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Keisuke Koyama

This figure shows the co-authorship network connecting the top 25 collaborators of Keisuke Koyama. A scholar is included among the top collaborators of Keisuke Koyama 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 Keisuke Koyama. Keisuke Koyama 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.
Koyama, Keisuke, Fanny Ficuciello, Ryuta Ozawa, et al.. (2024). Synergy Hand Using Fluid Network: Realization of Various Grasping/Manipulation Styles. IEEE Access. 12. 164966–164978.
2.
Koyama, Keisuke, Ryuta Ozawa, Kazuyuki Nagata, et al.. (2023). Torque-Sensing Soft Bellows Actuator for Multi-Fingered Hands Taking Bellow’s Buckling Into Consideration. IEEE Access. 11. 129258–129268. 2 indexed citations
3.
Wan, Weiwei, et al.. (2023). Reducing Uncertainty Using Placement and Regrasp Planning on a Triangular Corner Fixture. IEEE Transactions on Automation Science and Engineering. 21(1). 652–670. 6 indexed citations
4.
Wan, Weiwei, et al.. (2023). In-Hand Pose Estimation Using Hand-Mounted RGB Cameras and Visuotactile Sensors. IEEE Access. 11. 17218–17232. 17 indexed citations
5.
Koyama, Keisuke, et al.. (2022). Prying Grasp for Picking Thin Object Using Thick Fingertips. IEEE Robotics and Automation Letters. 7(4). 11577–11584. 3 indexed citations
6.
Wan, Weiwei, et al.. (2022). A Dual-Arm Robot That Manipulates Heavy Plates With the Support of a Vacuum Lifter. IEEE Transactions on Automation Science and Engineering. 20(4). 2808–2821. 9 indexed citations
7.
Koyama, Keisuke, et al.. (2021). Grasp/Motion Planning for Efficient Packing Tasks Assuming Multiple Grippers. The Proceedings of JSME annual Conference on Robotics and Mechatronics (Robomec). 2021(0). 1P1–J05.
8.
Koyama, Keisuke, et al.. (2021). Manipulation Planning for Large Objects through Pivoting, Tumbling, and Regrasping. Applied Sciences. 11(19). 9103–9103. 5 indexed citations
9.
Wan, Weiwei, et al.. (2021). Robust Robotic 3-D Drawing Using Closed-Loop Planning and Online Picked Pens. IEEE Transactions on Robotics. 38(3). 1773–1792. 13 indexed citations
10.
Navarro, Stefan Escaida, Stephan Mühlbacher-Karrer, Hosam Alagi, et al.. (2021). Proximity Perception in Human-Centered Robotics: A Survey on Sensing Systems and Applications. IEEE Transactions on Robotics. 38(3). 1599–1620. 89 indexed citations
11.
Wan, Weiwei, et al.. (2021). A Dual-Arm Robot That Autonomously Lifts Up and Tumbles Heavy Plates Using Crane Pulley Blocks. IEEE Transactions on Automation Science and Engineering. 19(4). 3444–3458. 8 indexed citations
12.
Wan, Weiwei, et al.. (2021). Planning to Build Block Structures With Unstable Intermediate States Using Two Manipulators. IEEE Transactions on Automation Science and Engineering. 19(4). 3777–3793. 13 indexed citations
13.
Koyama, Keisuke, et al.. (2021). Controlling Pivoting Gait Using Graph Model Predictive Control. IEEE Access. 9. 73757–73770. 5 indexed citations
14.
Wan, Weiwei, et al.. (2020). A Mechanical Rotating Tool for 2-Finger Parallel Grippers. The Proceedings of JSME annual Conference on Robotics and Mechatronics (Robomec). 2020(0). 2A1–M10. 1 indexed citations
15.
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
16.
TAKADA, Yogo, et al.. (2012). Self-position Estimation of Small Fish Robot Based on Visual Information from Camera. Marine Engineering. 47(3). 437–443. 3 indexed citations
17.
Nakamura, Tsuyoshi, et al.. (2012). Target Following and Self-position Estimation of Small Fish Robot FOCUS. Marine Engineering. 47(5). 742–747. 2 indexed citations
18.
Shiomi, Tadahiko, et al.. (2005). EQUIVALENT LINEAR ANALYSIS TAKING INTO ACCOUNT EXESS PORE PRESSURE BUILT-UP DUE TO LIQUEFACTION. Journal of Structural and Construction Engineering (Transactions of AIJ). 70(598). 93–100. 1 indexed citations
19.
NARIKAWA, Masafumi, et al.. (1997). METHODS TO ESTIMATE DYNAMIC INTERACTION SYSTEM FOR A BUILDING OF THERMAL POWER PLANT SUPPORTED ON PILES. Journal of Structural and Construction Engineering (Transactions of AIJ). 62(502). 39–46.
20.
Imamura, Akira, et al.. (1995). A STUDY FOR GROUP-FACTOR OF PILE FOUNDATION. Journal of Structural and Construction Engineering (Transactions of AIJ). 60(476). 57–66. 2 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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