Hiroshi Shibata

992 citations
116 papers · 753 indexed · h-index 14
Topics
Nonlinear Dynamics and Pattern Formation (20 papers)Iterative Learning Control Systems (14 papers)Complex Systems and Time Series Analysis (13 papers)
Partner nations
JapanUnited StatesChina

In The Last Decade

Hiroshi Shibata

99 papers receiving 706 citations

Peers

Hiroshi Shibata
Comparison fields: 5 of 122
  • Cognitive Neuroscience 151
  • Statistical and Nonlinear Physics 133
  • Computer Networks and Communications 108
  • Control and Systems Engineering 89
  • Social Psychology 72
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Citations per field
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Citations per year

Countries citing papers authored by Hiroshi Shibata

Since Specialization
Citations

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

Fields of papers citing papers by Hiroshi Shibata

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Hiroshi Shibata

This figure shows the co-authorship network connecting the top 25 collaborators of Hiroshi Shibata. A scholar is included among the top collaborators of Hiroshi Shibata 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 Hiroshi Shibata. Hiroshi Shibata 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
#WorkIndexed citations
1 5
2
Biomechanical constraint effects in estimating the congruency between verbal and visual descriptions of hand actions
1
3
Adaptive tracking control scheme for wheeled mobile robots without measurement of longitudinal velocity
4
4 0
5
Understanding of hand actions performed in social contexts: An fMRI study
0
6 3
7 1
8 0
9
An Extraction Method of Lip Shape for Independent Speaker
4
10
Semantic information-oriented network architecture: SION architecture
4
11 7
12 2
13 2
14 0
15 9
16 1
17 1
18 0
19 0
20
Numerical Analysis of the Optimal Control for a Stochastic Distributed Parameter System
1

About Hiroshi Shibata

Hiroshi Shibata is a scholar working on Statistical and Nonlinear Physics, Control and Systems Engineering and Computer Networks and Communications, having authored 116 papers that have together received 753 indexed citations. Recurring topics across this work include Nonlinear Dynamics and Pattern Formation (20 papers), Iterative Learning Control Systems (14 papers) and Complex Systems and Time Series Analysis (13 papers). The work is most often cited by research in Statistical and Nonlinear Physics (133 citations), Cognitive Neuroscience (151 citations) and Computer Networks and Communications (108 citations). Hiroshi Shibata has collaborated with scholars based in Japan, United States and China. Frequent co-authors include Jiro Gyoba, Toru Nabika, Atsushi Nagai, Junichi Masuda, Hirokazu Fujisaka, Toshio Inui, Shozo Yano, Shotai Kobayashi, Yôiti Suzuki and Yukio Iwaya. Their work appears in journals such as IEEE Transactions on Automatic Control, Physical Review A and Arteriosclerosis Thrombosis and Vascular Biology.

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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