Taiji Ueno

1.3k total citations
29 papers, 887 citations indexed

About

Taiji Ueno is a scholar working on Cognitive Neuroscience, Developmental and Educational Psychology and Experimental and Cognitive Psychology. According to data from OpenAlex, Taiji Ueno has authored 29 papers receiving a total of 887 indexed citations (citations by other indexed papers that have themselves been cited), including 22 papers in Cognitive Neuroscience, 16 papers in Developmental and Educational Psychology and 8 papers in Experimental and Cognitive Psychology. Recurrent topics in Taiji Ueno's work include Reading and Literacy Development (11 papers), Neurobiology of Language and Bilingualism (10 papers) and Neural and Behavioral Psychology Studies (7 papers). Taiji Ueno is often cited by papers focused on Reading and Literacy Development (11 papers), Neurobiology of Language and Bilingualism (10 papers) and Neural and Behavioral Psychology Studies (7 papers). Taiji Ueno collaborates with scholars based in United Kingdom, Japan and United States. Taiji Ueno's co-authors include Satoru Saito, Matthew A. Lambon Ralph, Timothy T. Rogers, Richard J. Allen, Alan Baddeley, Graham J. Hitch, Kou Murayama, Greta M. Fastrich, Mara Mather and Allison Ponzio and has published in prestigious journals such as Neuron, PLoS ONE and Brain.

In The Last Decade

Taiji Ueno

26 papers receiving 867 citations

Peers

Taiji Ueno
Comparison fields: 5 of 84
  • Cognitive Neuroscience 704
  • Experimental and Cognitive Psychology 183
  • Developmental and Educational Psychology 178
  • Psychiatry and Mental health 152
  • Social Psychology 144
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Citations per field, relative to Taiji Ueno
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Citations per year, relative to Taiji Ueno
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Countries citing papers authored by Taiji Ueno

Since Specialization
Citations

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

Fields of papers citing papers by Taiji Ueno

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Taiji Ueno

This figure shows the co-authorship network connecting the top 25 collaborators of Taiji Ueno. A scholar is included among the top collaborators of Taiji Ueno 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 Taiji Ueno. Taiji Ueno 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 0
2 1
3 10
4 84
5 52
6 44
7 3
8
Contribution of sublexical information to word meaning: An objective approach using latent semantic analysis and corpus analysis on predicates
0
9
Generalization of the Primary Systems Hypothesis to Japanese-specific language processes
1
10
Parallel vs Serial Issues in Reading Aloud: Evidence for Parallel Processing from a Computational Model of Japanese Kanji & Kana Nonword Reading
1
11 105
12 21
13 10
14
Why verbalization of facial features increases false positive responses on visually-similar distractors: A computational exploration of verbal overshadowing
1
15 35
16 214
17 43
18 2
19 67
20 112

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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