Takayuki Ito

2.0k citations
72 papers · 1.5k indexed · h-index 17

Takayuki Ito

67 papers receiving 1.4k citations

Peers

Takayuki Ito
Comparison fields: 5 of 158
  • Experimental and Cognitive Psychology 290
  • Cognitive Neuroscience 402
  • Computer Vision and Pattern Recognition 201
  • Human-Computer Interaction 53
  • Artificial Intelligence 307
Replace Günther Palm with:
Günther Palm Germany
Christian O’Reilly Canada
Dan Liu China
Li Yao China
Peter W. Dicke Germany
Leonard J. Trejo United States
Hua Han China
Stan Gielen Netherlands
Deepak Khosla United States
Virginia R. de United States
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Citations per field
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Citations per year

Countries citing papers authored by Takayuki Ito

Since Specialization
Citations

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

Fields of papers citing papers by Takayuki Ito

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

The 25 scholars most cited alongside Takayuki Ito, 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 Takayuki Ito Line = papers co-authored together Takayuki Ito links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 20240
2 20223
3 20214
4 20210
5 20209
6 20206
7 20204
8 201913
9 201911
10 20199
11 20168
12 20153
13
BraillePresentation Method for Tactile Display
20082
14 200516
15 20005
16 19967
17
Political Fragmentation in Russia--Is the Multi-Party System Bound to Fail in a Post-Communist Country?
19941
18 19919
19 199065
20
Controversy over Nomenklatura in Poland : Twilight of a Monopolistic Instrument for Social Control
19833

About Takayuki Ito

Takayuki Ito is a scholar working on Experimental and Cognitive Psychology, Cognitive Neuroscience and Human-Computer Interaction, having authored 72 papers that have together received 1.5k indexed citations. Recurring topics across this work include Tactile and Sensory Interactions (19 papers), Multisensory perception and integration (18 papers), Phonetics and Phonology Research (15 papers), Motor Control and Adaptation (8 papers), Hearing Impairment and Communication (7 papers), Neuroscience and Music Perception (6 papers), Action Observation and Synchronization (4 papers) and Receptor Mechanisms and Signaling (4 papers). The work is most often cited by research in Experimental and Cognitive Psychology (290 citations), Cognitive Neuroscience (402 citations) and Computer Vision and Pattern Recognition (201 citations). Takayuki Ito has collaborated with scholars based in Japan, United States and France. Frequent co-authors include Sei Miyake, Kunihiko Fukushima, David J. Ostry, Mark Tiede, Hiroaki Gomi, K. Nonami, Emi Z. Murano, Takeshi Yasuda, Masaaki Honda and Gen Sobue. Their work appears in journals such as Proceedings of the National Academy of Sciences, The Journal of Cell Biology and PLoS ONE.

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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