Maiko Ikeda

419 citations
14 papers · 247 · h-index 6

Impact in

Papers in

Maiko Ikeda

12 papers receiving 224 citations

Peers

Maiko Ikeda
Comparison fields: 5 of 39
  • Language and Linguistics 161
  • Literature and Literary Theory 106
  • Developmental and Educational Psychology 87
  • Linguistics and Language 22
  • Social Psychology 43
Replace Paul Leeming with:
Paul Leeming Japan
François Pichette Canada
Denise Santos United Kingdom
Jeff Tennant Canada
Marjorie Hall Haley United States
Mahnaz Saeidi Iran
Gavin Bui Hong Kong
Carine M. Feyten United States
Louise Courtney United Kingdom
Justin Nicholes United States
Maiko Ikeda relative to Paul Leeming Japan Paul Leeming's profile →
Citations per field
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Citations per year

Countries citing papers authored by Maiko Ikeda

Since Specialization
Citations

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

Fields of papers citing papers by Maiko Ikeda

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 12 scholars most cited alongside Maiko Ikeda, 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 Maiko Ikeda Line = papers co-authored together Maiko Ikeda links everyone, so they are left out of the graph.

All Works

14 of 14 papers shown
#Work
1 2016151
2 200639
3
Can Strategy Instruction Help EFL Learners to Improve Their Reading Ability? : An Empirical Study
200316
4 201910
5 20129
6 20127
7 20214
8
A comparison of cognitive processing during cloze and multiple-choice reading tests using brain activation
20164
9 20223
10 20072
11
Mental Health Professionals Unite to Support Japanese and Japanese Americans.
20111
12
How Do Learners Incorporate the Metacognitive Strategies Taught in the Classroom into their Strategy Repertoires
20131
13 20250
14 20240

About Maiko Ikeda

Maiko Ikeda is a scholar working on Language and Linguistics, Education, Cognitive Neuroscience, Literature and Literary Theory and Developmental and Educational Psychology, having authored 14 papers that have together received 247 indexed citations. Recurring topics across this work include EFL/ESL Teaching and Learning (4 papers), Second Language Learning and Teaching (2 papers), Educational Methods and Media Use (2 papers), Educational Practices and Challenges (2 papers), Education and Critical Thinking Development (2 papers), EEG and Brain-Computer Interfaces (2 papers), Linguistic Variation and Morphology (1 paper) and Discourse Analysis in Language Studies (1 paper). The work is most often cited by research in Language and Linguistics (161 citations), Literature and Literary Theory (106 citations), Developmental and Educational Psychology (87 citations), Linguistics and Language (22 citations) and Social Psychology (43 citations). Maiko Ikeda has collaborated with scholars based in Japan, United States and Canada. Frequent co-authors include Tomoko Yashima, Peter D. MacIntyre, Osamu Takeuchi, Atsushi Mizumoto, Christina Higgins, Tomoyuki Miyazaki, Takahiro Mihara, Takahisa Goto, Akiko Doi and Elina Saeki. Their work appears in journals such as Language Teaching Research, RELC Journal, System, PLoS ONE and Applied Linguistics Review.

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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