Masayuki Sato

1.8k total citations
163 papers, 1.4k citations indexed

About

Masayuki Sato is a scholar working on Control and Systems Engineering, Aerospace Engineering and Computational Theory and Mathematics. According to data from OpenAlex, Masayuki Sato has authored 163 papers receiving a total of 1.4k indexed citations (citations by other indexed papers that have themselves been cited), including 123 papers in Control and Systems Engineering, 29 papers in Aerospace Engineering and 15 papers in Computational Theory and Mathematics. Recurrent topics in Masayuki Sato's work include Stability and Control of Uncertain Systems (88 papers), Control Systems and Identification (60 papers) and Adaptive Control of Nonlinear Systems (52 papers). Masayuki Sato is often cited by papers focused on Stability and Control of Uncertain Systems (88 papers), Control Systems and Identification (60 papers) and Adaptive Control of Nonlinear Systems (52 papers). Masayuki Sato collaborates with scholars based in Japan, United Kingdom and France. Masayuki Sato's co-authors include Dimitri Peaucelle, Lejun Chen, Christopher Edwards, Halim Alwi, Andrés Marcos, Ian P. Howard, Yoshio Ebihara, Anh Tran, Noboru Sakamoto and Mark Edwards and has published in prestigious journals such as SHILAP Revista de lepidopterología, IEEE Transactions on Automatic Control and Scientific Reports.

In The Last Decade

Masayuki Sato

148 papers receiving 1.3k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Masayuki Sato Japan 18 1.0k 240 153 144 86 163 1.4k
Jongrae Kim United Kingdom 18 376 0.4× 272 1.1× 85 0.6× 26 0.2× 141 1.6× 76 1.0k
Andrew P. Papliński Australia 11 767 0.7× 108 0.5× 58 0.4× 68 0.5× 167 1.9× 67 1.2k
Viswanath Talasila India 10 348 0.3× 57 0.2× 58 0.4× 66 0.5× 72 0.8× 44 641
Alessandro Macchelli Italy 19 1.4k 1.4× 209 0.9× 162 1.1× 72 0.5× 112 1.3× 87 1.8k
Ian R. Manchester Australia 22 1.1k 1.0× 484 2.0× 136 0.9× 20 0.1× 146 1.7× 110 1.9k
Tiago Roux Oliveira Brazil 23 1.5k 1.4× 178 0.7× 87 0.6× 14 0.1× 205 2.4× 156 1.7k
Lunan Zheng China 18 914 0.9× 107 0.4× 81 0.5× 24 0.2× 90 1.0× 36 1.3k
G.M.T. D’Eleuterio Canada 16 581 0.6× 143 0.6× 39 0.3× 32 0.2× 79 0.9× 77 897
Andrew Lamperski United States 16 300 0.3× 39 0.2× 129 0.8× 52 0.4× 133 1.5× 45 632
Elena Panteley France 23 1.8k 1.7× 282 1.2× 89 0.6× 35 0.2× 921 10.7× 107 2.3k

Countries citing papers authored by Masayuki Sato

Since Specialization
Citations

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

Fields of papers citing papers by Masayuki Sato

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Masayuki Sato

This figure shows the co-authorship network connecting the top 25 collaborators of Masayuki Sato. A scholar is included among the top collaborators of Masayuki Sato 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 Masayuki Sato. Masayuki Sato 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.
Yokoyama, T., et al.. (2024). Flight Verification of Automatic Flight and Transition System for Lift/Cruise Thrust Type VTOL Aircraft. TRANSACTIONS OF THE JAPAN SOCIETY FOR AERONAUTICAL AND SPACE SCIENCES. 67(5). 285–294.
2.
3.
Sebe, Noboru, et al.. (2022). Selection of the estimation model for robust observer-based controller against plant uncertainties. IFAC-PapersOnLine. 55(25). 193–198. 1 indexed citations
4.
Sato, Masayuki & Noboru Sebe. (2022). Conversion from Non-structured Controller to Observer-structured Controller for Linear Time-invariant Parameter-dependent Plant. Transactions of the Society of Instrument and Control Engineers. 58(5). 255–261. 1 indexed citations
5.
Sebe, Noboru, et al.. (2019). Minimal order observer based H ∞ controller design based on overbounding approximation method. Asian Control Conference. 167–172. 1 indexed citations
6.
Sato, Masayuki. (2017). Simultaneous Design of Continuous-time Observer-based Output Feedback Scaled <i>H</i><sub>&infin;</sub> Controllers and Scaling Matrices. Transactions of the Society of Instrument and Control Engineers. 53(8). 455–462. 2 indexed citations
7.
Sato, Masayuki, et al.. (2015). Flight Controller Design of Unmanned Airplane for Radiation Monitoring System via Structured Robust Controller Design Using Multiple Model Approach. Transactions of the Society of Instrument and Control Engineers. 51(4). 215–225. 3 indexed citations
8.
Sato, Masayuki & Dimitri Peaucelle. (2013). Gain-scheduled output-feedback controllers using inexact scheduling parameters for continuous-time LPV systems. Automatica. 49(4). 1019–1025. 102 indexed citations
9.
Yamagishi, Satoshi, Noboru Sakamoto, & Masayuki Sato. (2013). Flight Control Design for Prevention of PIO Using Nonlinear Optimal Control. JOURNAL OF THE JAPAN SOCIETY FOR AERONAUTICAL AND SPACE SCIENCES. 61(1). 1–8. 1 indexed citations
10.
Ishii, Masahiro, et al.. (2012). Effect of Accommodation on Apparent Distance Specified by Vergence. The Journal of The Institute of Image Information and Television Engineers. 66(7). J271–J274. 1 indexed citations
11.
Sato, Masayuki & Dimitri Peaucelle. (2011). Gain-Scheduled H∞ Controllers being Derivative-Free of Scheduling Parameters via Parameter-Dependent Lyapunov Functions. IFAC Proceedings Volumes. 44(1). 7951–7956. 4 indexed citations
12.
Sato, Masayuki, et al.. (2011). ILS Approach Flight Experiment of MuPAL-α Using Feedforward Model-Matching Control for Handling Characteristics Realization. JOURNAL OF THE JAPAN SOCIETY FOR AERONAUTICAL AND SPACE SCIENCES. 59(694). 315–318. 1 indexed citations
13.
Sato, Masayuki, et al.. (2010). Comparison of effects of the spatial attention on stereo and motion discrimination thresholds. Journal of Vision. 10(7). 270–270. 1 indexed citations
14.
Sato, Masayuki, et al.. (2008). Low Cost PLD with High Speed Partial Reconfiguration. ITC-CSCC :International Technical Conference on Circuits Systems, Computers and Communications. 557–560. 4 indexed citations
15.
Sato, Masayuki & Dimitri Peaucelle. (2007). Robust Stability/Performance Analysis for Linear Time-Invariant Polynomially Parameter-Dependent Systems Using Polynomially Parameter-Dependent Lyapunov Functions. Transactions of the Society of Instrument and Control Engineers. 43(6). 472–481. 1 indexed citations
16.
17.
Sato, Masayuki, et al.. (2006). A logic design technique using SRAM blocks. IEICE Technical Report; IEICE Tech. Rep.. 106(246). 17–22. 1 indexed citations
18.
Sato, Masayuki. (2004). Inverse system design for LPV systems using biquadratic Lyapunov functions. Asian Control Conference. 2. 1077–1085. 1 indexed citations
19.
Sato, Masayuki. (2000). A Design Method of the Filtered Inverse System. Transactions of the Society of Instrument and Control Engineers. 36(12). 1180–1182. 4 indexed citations
20.
Tokoro, Mario, et al.. (1978). A Module Level Simulation Technique for Systems Composed of LSI's And MSI's. Design Automation Conference. 418–427. 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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