Takuro Ikeda

653 citations
15 papers · 426 indexed · h-index 8
Topics
Neural dynamics and brain function (8 papers)Visual perception and processing mechanisms (8 papers)Functional Brain Connectivity Studies (3 papers)
Partner nations
JapanUnited StatesCanada

In The Last Decade

Takuro Ikeda

14 papers receiving 418 citations

Peers

Takuro Ikeda
Comparison fields: 5 of 52
  • Cognitive Neuroscience 390
  • Cellular and Molecular Neuroscience 80
  • Molecular Biology 58
  • Sensory Systems 55
  • Computer Vision and Pattern Recognition 42
Replace Wolf Zinke with:
Wolf Zinke Germany
Puiu F. Balan United States
Adam N. Phillips Japan
Arezoo Pooresmaeili Germany
K.G. Thompson United States
Christopher J. Peck United States
M. Gabriela Costello United States
Koorosh Mirpour United States
Michael A. Steinmetz United States
Benjamin Voloh United States
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Citations per field
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Citations per year

Countries citing papers authored by Takuro Ikeda

Since Specialization
Citations

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

Fields of papers citing papers by Takuro Ikeda

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Takuro Ikeda

This figure shows the co-authorship network connecting the top 25 collaborators of Takuro Ikeda. A scholar is included among the top collaborators of Takuro Ikeda 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 Takuro Ikeda. Takuro Ikeda is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

15 of 15 papers shown
#WorkIndexed citations
1 2
2 5
3 3
4 1
5 24
6 10
7 47
8 53
9 15
10 3
11 1
12 45
13 37
14 179
15
[A clinical-pathological study of slow saccades and sleep disturbances--two autopsy cases with hereditary spinocerebellar degeneration].
1

About Takuro Ikeda

Takuro Ikeda is a scholar working on Cognitive Neuroscience, Sensory Systems and Computer Vision and Pattern Recognition, having authored 15 papers that have together received 426 indexed citations. Recurring topics across this work include Neural dynamics and brain function (8 papers), Visual perception and processing mechanisms (8 papers) and Functional Brain Connectivity Studies (3 papers). The work is most often cited by research in Cognitive Neuroscience (390 citations), Sensory Systems (55 citations) and General Decision Sciences (11 citations). Takuro Ikeda has collaborated with scholars based in Japan, United States and Canada. Frequent co-authors include Okihide Hikosaka, Tadashi Isa, Masatoshi Yoshida, Rikako Kato, Kana Takaura, Douglas P. Munoz, Brian J. White, Laurent Itti, Takuya Hayashi and Chihiro Yokoyama. Their work appears in journals such as Neuron, Journal of Neuroscience and NeuroImage.

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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