Kaoru Sekiyama

2.6k citations
69 papers · 1.8k indexed · h-index 19
Topics
Multisensory perception and integration (29 papers)Neuroscience and Music Perception (13 papers)Color perception and design (13 papers)

In The Last Decade

Kaoru Sekiyama

63 papers receiving 1.7k citations

Peers

Kaoru Sekiyama
Comparison fields: 5 of 100
  • Cognitive Neuroscience 1.1k
  • Experimental and Cognitive Psychology 1.0k
  • Social Psychology 428
  • Developmental and Educational Psychology 272
  • Sensory Systems 164
Replace Daniel Sanabria with:
Daniel Sanabria Spain
Fabrice B. R. Parmentier Spain
Soledad Ballesteros Spain
Olivier Després France
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Citations per field
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Citations per year

Countries citing papers authored by Kaoru Sekiyama

Since Specialization
Citations

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

Fields of papers citing papers by Kaoru Sekiyama

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Kaoru Sekiyama

This figure shows the co-authorship network connecting the top 25 collaborators of Kaoru Sekiyama. A scholar is included among the top collaborators of Kaoru Sekiyama 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 Kaoru Sekiyama. Kaoru Sekiyama 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 0
2 6
3 9
4 3
5 14
6 30
7 10
8 23
9 5
10 14
11 18
12 2
13 78
14
Long-term cochlear implant users have resistance to noise, but short-term users don't.
0
15
Audiovisual speech perception in Japanese and English: inter-language differences examined by event-related potentials.
3
16 105
17
Auditory-visual speech perception development in Japanese and English speakers.
13
18
Native-Foreign Langage Effect In The McGurk Effect : A Test With Chinese and Japanese.
4
19
The McGurk Effect Is Influenced By The Stimulus Set Size.
4
20
Kinesthetic processing in mental rotation of visually presented hands
1

About Kaoru Sekiyama

Kaoru Sekiyama is a scholar working on Experimental and Cognitive Psychology, Cognitive Neuroscience and Music, having authored 69 papers that have together received 1.8k indexed citations. Recurring topics across this work include Multisensory perception and integration (29 papers), Neuroscience and Music Perception (13 papers) and Color perception and design (13 papers). The work is most often cited by research in Experimental and Cognitive Psychology (1.0k citations), Cognitive Neuroscience (1.1k citations) and Sensory Systems (164 citations). Kaoru Sekiyama has collaborated with scholars based in Japan, Australia and Netherlands. Frequent co-authors include Yoh’ichi Tohkura, Denis Burnham, Yoichi Sugita, Shuichi Miura, Iwao Kanno, Takahiro Soshi, Makiko Sadakata, Toshikazu Kawagoe, Shinichi Sakamoto and Maki Suzuki. Their work appears in journals such as Nature, Scientific Reports and Cerebral Cortex.

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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