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.
Bettering operation of Robots by learning
19842.7k citationsSuguru Arimoto, Sadao Kawamura et al.profile →
A New Feedback Method for Dynamic Control of Manipulators
Countries citing papers authored by Suguru Arimoto
Since
Specialization
Citations
This map shows the geographic impact of Suguru Arimoto'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 Suguru Arimoto with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Suguru Arimoto more than expected).
This network shows the impact of papers produced by Suguru Arimoto. 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 Suguru Arimoto. The network helps show where Suguru Arimoto may publish in the future.
Co-authorship network of co-authors of Suguru Arimoto
This figure shows the co-authorship network connecting the top 25 collaborators of Suguru Arimoto.
A scholar is included among the top collaborators of Suguru Arimoto 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 Suguru Arimoto. Suguru Arimoto 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.
Arimoto, Suguru, Kenji Tahara, & Morio Yoshida. (2010). . Journal of the Robotics Society of Japan. 28(6). 682–688.1 indexed citations
2.
Sekimoto, Masahiro, Suguru Arimoto, Boris I. Prilutsky, Tadao Isaka, & Sadao Kawamura. (2009). Observation of human multi-joint arm movement from the viewpoint of a Riemannian distance. 2009 ICCAS-SICE. 2664–2669.7 indexed citations
3.
Yoshida, Morio, Suguru Arimoto, & Kenji Tahara. (2009). Manipulation of 2D object with arbitrary shape by robot finger under rolling constraint. 2009 ICCAS-SICE. 695–699.4 indexed citations
Arimoto, Suguru. (2001). Principle of Superposition for Realizing Dexterous Pinching Motions of a Pair of Robot Fingers with Soft-Tips. IEICE Transactions on Fundamentals of Electronics Communications and Computer Sciences. 84(1). 39–47.16 indexed citations
6.
Arimoto, Suguru, et al.. (1998). On the Asymptotic Behaviors of the Recurrence Time with Fidelity Criterion for Discrete Memoryless Sources and Memoryless Gaussian Sources. IEICE Transactions on Fundamentals of Electronics Communications and Computer Sciences. 81(5). 981–986.1 indexed citations
7.
Yamamoto, H., et al.. (1997). A Bitplane Tree Weighting Method for Lossless Compression of Gray Scale Images. IEICE Transactions on Fundamentals of Electronics Communications and Computer Sciences. 80(11). 2268–2271.1 indexed citations
Suzuki, Hisashi & Suguru Arimoto. (1993). A Method of Managing Perfectly-Balanced Trees for Solving Quickly the Nearest Point Problems (Special Section on Information Theory and Its Applications). IEICE Transactions on Fundamentals of Electronics Communications and Computer Sciences. 76(9). 1373–1382.
Suzuki, Hisashi & Suguru Arimoto. (1991). Trajectory planning inside dynamic environment. International Symposium on Robotics. 395–403.3 indexed citations
14.
Suzuki, Hisashi & Suguru Arimoto. (1991). Dynamic construction and quick search algorithms of binary balanced trees with a fidelity criterion. IEICE Transactions on Fundamentals of Electronics Communications and Computer Sciences. 74(9). 2483–2494.
15.
Suzuki, Hisashi & Suguru Arimoto. (1987). Self-Organization of Associative Database and Its Applications. Neural Information Processing Systems. 767–774.
16.
Kawamura, Sadao, Fumio Miyazaki, & Suguru Arimoto. (1987). Intelligent Control of Robot Motion Based on Learning Method. 46. 160.14 indexed citations
17.
Kawamura, Sadao, Fumio Miyazaki, & Suguru Arimoto. (1987). Stability of Trajectory Tracking PD Feedback Control for Robot Manipulator. 46. 161.2 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.