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.
A Bayesian missing value estimation method for gene expression profile data
2003514 citationsMasa-aki Sato, Shin Ishii et al.profile →
Peers — A (Enhanced Table)
Peers by citation overlap · career bar shows stage (early→late)
cites ·
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This map shows the geographic impact of Masa-aki 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 Masa-aki Sato with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Masa-aki Sato more than expected).
This network shows the impact of papers produced by Masa-aki 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 Masa-aki Sato. The network helps show where Masa-aki Sato may publish in the future.
Co-authorship network of co-authors of Masa-aki Sato
This figure shows the co-authorship network connecting the top 25 collaborators of Masa-aki Sato.
A scholar is included among the top collaborators of Masa-aki 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 Masa-aki Sato. Masa-aki Sato is excluded from
the visualization to improve readability, since they are connected to all nodes in the network.
GOTO, Masao, et al.. (2012). Development of General Correlation for Heat Transfer in Single-Phase Turbulent Flow Inside Internally Helical-Grooved Tubes. Revista Trace. 22(4). 437–447.2 indexed citations
Fujiwara, Yusuke, Masa-aki Sato, Okito Yamashita, et al.. (2005). A method for removal of eye movement artifacts from MEG -- Simultaneous current source estimation of eyes and cortical activities from MEG and EOG data. 105(342). 43–48.
9.
Nakamura, Yutaka, et al.. (2004). Reinforcement learning for a CPG-driven biped robot. National Conference on Artificial Intelligence. 623–630.47 indexed citations
10.
Nakamura, Yutaka, Masa-aki Sato, & Shin Ishii. (2004). Reinforcement Learning for Rhythmic Movements Using a Neural Oscillator Network. Transactions of the Institute of Electronics, Information and Communication Engineers. 87(3). 893–902.2 indexed citations
Sunahara, Hideki, et al.. (2002). IPCar : Building the Probe Car System with the Internet. IEICE Transactions on Communications. 85(4). 854.5 indexed citations
13.
Sato, Masa-aki, et al.. (2000). DSRC STANDARDS AND ETC SYSTEMS DEVELOPMENT IN JAPAN.3 indexed citations
14.
Dalal, Edul N., et al.. (1999). Effect of Selected Image Quality Attributes on Overall Preference.. PICS. 266–269.2 indexed citations
15.
Sato, Masa-aki & Shin Ishii. (1998). On-Line EM Algorithm for Mixture of Local Experts. International Conference on Neural Information Processing. 1397–1401.4 indexed citations
16.
Sato, Masa-aki & Shin Ishii. (1998). Reinforcement Learning Based on On-Line EM Algorithm. Neural Information Processing Systems. 11. 1052–1058.19 indexed citations
17.
Rasmussen, Daniel, et al.. (1998). Image Quality Metrics: Applications and Requirements.. PICS. 174–178.5 indexed citations
18.
Chikayama, Takashi, et al.. (1992). The Design of the PIMOS File System.. Future Generation Computer Systems. 278–285.2 indexed citations
19.
Sato, Masa-aki, et al.. (1991). Learning Nonlinear Dynamics by Recurrent Neural Networks(Some Problems on the Theory of Dynamical Systems in Applied Sciences). Kyoto University Research Information Repository (Kyoto University). 760. 71–87.1 indexed citations
20.
Sato, Masa-aki, et al.. (1974). COMTRAC FOR TOKYO-HAKATA SHINKANSEN. 15(1).1 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.