Masato Kaneko

465 citations
44 papers · 260 indexed · h-index 9
Topics
Reading and Literacy Development (26 papers)Cognitive and developmental aspects of mathematical skills (16 papers)Neurobiology of Language and Bilingualism (13 papers)

In The Last Decade

Masato Kaneko

37 papers receiving 231 citations

Peers

Masato Kaneko
Comparison fields: 5 of 38
  • Developmental and Educational Psychology 225
  • Cognitive Neuroscience 100
  • Statistics and Probability 88
  • Education 81
  • Language and Linguistics 14
Replace Noriko Haruhara with:
Noriko Haruhara Japan
Christos Skaloumbakas Greece
Lynn McQuarrie Canada
MJ Snowling
Helen L. Breadmore United Kingdom
Matti Leiwo Finland
Gillian West United Kingdom
Marie Van Reybroeck Belgium
Vanitha Pillay Canada
Mathilde Muneaux France
Masato Kaneko relative to Noriko Haruhara Japan Noriko Haruhara's profile →
Citations per field
00.5×1.5×
Noriko Haruhara · 1×
Citations per year

Countries citing papers authored by Masato Kaneko

Since Specialization
Citations

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

Fields of papers citing papers by Masato Kaneko

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Masato Kaneko

This figure shows the co-authorship network connecting the top 25 collaborators of Masato Kaneko. A scholar is included among the top collaborators of Masato Kaneko 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 Masato Kaneko. Masato Kaneko 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 1
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6 1
7 8
8 16
9 1
10 12
11 4
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13 3
14 0
15 8
16 2
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About Masato Kaneko

Masato Kaneko is a scholar working on Developmental and Educational Psychology, Statistics and Probability and Cognitive Neuroscience, having authored 44 papers that have together received 260 indexed citations. Recurring topics across this work include Reading and Literacy Development (26 papers), Cognitive and developmental aspects of mathematical skills (16 papers) and Neurobiology of Language and Bilingualism (13 papers). The work is most often cited by research in Developmental and Educational Psychology (225 citations), Statistics and Probability (88 citations) and Cognitive Neuroscience (100 citations). Masato Kaneko has collaborated with scholars based in Japan, United Kingdom and United States. Frequent co-authors include Noriko Haruhara, Akira Uno, Naoko Shinya, Taeko N. Wydell, Makiko Kaga, Takashi Goto, Masanori Tachikawa, Taro Udagawa, Masayuki Sasaki and Nobuyuki Shoji. Their work appears in journals such as Journal of Child Neurology, Reading and Writing and Brain and Development.

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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