Ichiro Tsuda

4.2k citations
91 papers · 2.7k indexed · h-index 24

Impact in

Papers in

Ichiro Tsuda

83 papers receiving 2.5k citations

Peers

Ichiro Tsuda
Comparison fields: 5 of 130
  • Statistical and Nonlinear Physics 1.1k
  • Cognitive Neuroscience 1.5k
  • Computer Networks and Communications 612
  • Artificial Intelligence 775
  • Cellular and Molecular Neuroscience 263
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Citations per field
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Citations per year

Countries citing papers authored by Ichiro Tsuda

Since Specialization
Citations

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

Fields of papers citing papers by Ichiro Tsuda

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Ichiro Tsuda, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Ichiro Tsuda Line = papers co-authored together Ichiro Tsuda links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 20240
2 20232
3 20238
4 20223
5 202113
6 20202
7
How Can We See Things That Are Not There? Current Insights into Complex Visual Hallucinations
201612
8 201417
9 201411
10 20146
11 201314
12 20138
13 20134
14 20120
15
Controlling Engine System from the Perspectives of Chaos Theory
20090
16 20096
17 200715
18 20079
19 200046
20
Mathematical description of brain dynamics in perception and action
19998

About Ichiro Tsuda

Ichiro Tsuda is a scholar working on Cognitive Neuroscience, Statistical and Nonlinear Physics, Artificial Intelligence, Computer Networks and Communications and Mathematical Physics, having authored 91 papers that have together received 2.7k indexed citations. Recurring topics across this work include Neural dynamics and brain function (39 papers), Neural Networks and Applications (24 papers), Chaos control and synchronization (21 papers), Nonlinear Dynamics and Pattern Formation (16 papers), Neuroscience and Neuropharmacology Research (8 papers), stochastic dynamics and bifurcation (8 papers), Memory and Neural Mechanisms (7 papers) and Quantum chaos and dynamical systems (7 papers). The work is most often cited by research in Statistical and Nonlinear Physics (1.1k citations), Cognitive Neuroscience (1.5k citations), Computer Networks and Communications (612 citations), Artificial Intelligence (775 citations) and Cellular and Molecular Neuroscience (263 citations). Ichiro Tsuda has collaborated with scholars based in Japan, United States and China. Frequent co-authors include Keisuke Matsumoto, Kunihiko Kaneko, John S. Nicolis, Kenji Matsumoto, Kazuhisa Tomita, Hiroshi Fujii, Hideki Shimizu, G. Barna, Minoru Tsukada and Rubin Wang. Their work appears in journals such as Neuroscience Research, Neural Networks, Behavioral and Brain Sciences, Chaos An Interdisciplinary Journal of Nonlinear Science and Journal of Integrative Neuroscience.

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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