Hideyuki Câteau

642 total citations
21 papers, 486 citations indexed

About

Hideyuki Câteau is a scholar working on Cognitive Neuroscience, Cellular and Molecular Neuroscience and Statistical and Nonlinear Physics. According to data from OpenAlex, Hideyuki Câteau has authored 21 papers receiving a total of 486 indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Cognitive Neuroscience, 11 papers in Cellular and Molecular Neuroscience and 8 papers in Statistical and Nonlinear Physics. Recurrent topics in Hideyuki Câteau's work include Neural dynamics and brain function (15 papers), stochastic dynamics and bifurcation (8 papers) and Advanced Memory and Neural Computing (6 papers). Hideyuki Câteau is often cited by papers focused on Neural dynamics and brain function (15 papers), stochastic dynamics and bifurcation (8 papers) and Advanced Memory and Neural Computing (6 papers). Hideyuki Câteau collaborates with scholars based in Japan, United States and Israel. Hideyuki Câteau's co-authors include Tomoki Fukai, Alex D. Reyes, Yoko Yazaki‐Sugiyama, Takao K. Hensch, Katsunori Kitano, Masahiko Takada, Katsuyuki Kaneda, Atsushi Nambu, Shigeru Tanaka and Takashi Shinozaki and has published in prestigious journals such as Nature, Physical Review Letters and Journal of Neuroscience.

In The Last Decade

Hideyuki Câteau

20 papers receiving 481 citations

Peers

Hideyuki Câteau
Comparison fields: 5 of 62
  • Cognitive Neuroscience 393
  • Cellular and Molecular Neuroscience 326
  • Electrical and Electronic Engineering 141
  • Statistical and Nonlinear Physics 100
  • Molecular Biology 76
Replace Julie S. Haas with:
Julie S. Haas United States
Tatjana Tchumatchenko Germany
Sami El‐Boustani France
Christian Tomm Switzerland
Idan Segev Israel
Öjvind Bernander United States
Michael Avermann Switzerland
Björn Naundorf Germany
Laurent Badel Switzerland
Zuzanna Piwkowska France
Julie S. Haas United States View profile →
Citations per field, relative to Hideyuki Câteau
Hideyuki Câteau · 1×
Citations per year, relative to Hideyuki Câteau
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Countries citing papers authored by Hideyuki Câteau

Since Specialization
Citations

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

Fields of papers citing papers by Hideyuki Câteau

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Hideyuki Câteau

This figure shows the co-authorship network connecting the top 25 collaborators of Hideyuki Câteau. A scholar is included among the top collaborators of Hideyuki Câteau 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 Hideyuki Câteau. Hideyuki Câteau 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
# Work Indexed citations
1 4
2 2
3
Visual Recognition of Occluded Object by Rats Studied with Two-Photon Imaging
1
4 7
5 2
6 0
7 6
8 8
9 161
10 36
11 6
12 62
13 24
14 7
15 28
16 3
17 9
18 60
19 3
20 5

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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