Kaori Idemaru

988 total citations
34 papers, 568 citations indexed

About

Kaori Idemaru is a scholar working on Experimental and Cognitive Psychology, Artificial Intelligence and Linguistics and Language. According to data from OpenAlex, Kaori Idemaru has authored 34 papers receiving a total of 568 indexed citations (citations by other indexed papers that have themselves been cited), including 31 papers in Experimental and Cognitive Psychology, 16 papers in Artificial Intelligence and 15 papers in Linguistics and Language. Recurrent topics in Kaori Idemaru's work include Phonetics and Phonology Research (27 papers), Linguistic Variation and Morphology (15 papers) and Speech Recognition and Synthesis (14 papers). Kaori Idemaru is often cited by papers focused on Phonetics and Phonology Research (27 papers), Linguistic Variation and Morphology (15 papers) and Speech Recognition and Synthesis (14 papers). Kaori Idemaru collaborates with scholars based in United States, South Korea and Australia. Kaori Idemaru's co-authors include Lori L. Holt, Susan G. Guion, Lucien Brown, Bodo Winter, Sven Grawunder, Howard Seltman, Charlotte Vaughn, Grace E. Oh, Melissa M. Baese‐Berk and Vsevolod Kapatsinski and has published in prestigious journals such as SHILAP Revista de lepidopterología, Philosophical Transactions of the Royal Society B Biological Sciences and The Journal of the Acoustical Society of America.

In The Last Decade

Kaori Idemaru

29 papers receiving 528 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Kaori Idemaru United States 14 495 222 204 140 125 34 568
Klaus J. Köhler Germany 12 470 0.9× 253 1.1× 259 1.3× 56 0.4× 76 0.6× 39 554
Gösta Bruce United States 13 680 1.4× 343 1.5× 408 2.0× 50 0.4× 89 0.7× 63 832
Peggy Mok Hong Kong 13 389 0.8× 138 0.6× 143 0.7× 67 0.5× 154 1.2× 69 485
Midam Kim United States 7 340 0.7× 217 1.0× 177 0.9× 42 0.3× 95 0.8× 10 423
Mara Breen United States 14 437 0.9× 107 0.5× 186 0.9× 64 0.5× 369 3.0× 28 677
Tamara Rathcke United Kingdom 12 279 0.6× 162 0.7× 94 0.5× 46 0.3× 120 1.0× 43 370
Diane Meador Canada 4 483 1.0× 268 1.2× 168 0.8× 99 0.7× 189 1.5× 6 579
Yukari Hirata United States 14 564 1.1× 182 0.8× 227 1.1× 106 0.8× 129 1.0× 37 660
Jonathan Dalby United States 10 518 1.0× 266 1.2× 288 1.4× 97 0.7× 105 0.8× 20 607
William D. Raymond United States 11 373 0.8× 236 1.1× 303 1.5× 72 0.5× 68 0.5× 23 583

Countries citing papers authored by Kaori Idemaru

Since Specialization
Citations

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

Fields of papers citing papers by Kaori Idemaru

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Kaori Idemaru

This figure shows the co-authorship network connecting the top 25 collaborators of Kaori Idemaru. A scholar is included among the top collaborators of Kaori Idemaru 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 Kaori Idemaru. Kaori Idemaru 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
1.
Lee, Jung‐Ah & Kaori Idemaru. (2024). Investigating vowel differences in North and South Korea: Phonetic analysis of younger speakers in read and conversational speech. Phonetics and Speech Sciences. 16(3). 7–23. 1 indexed citations
3.
Winter, Bodo, et al.. (2021). Korean speakers hyperarticulate vowels in polite speech*. Phonetics and Speech Sciences. 13(3). 15–20. 3 indexed citations
4.
Winter, Bodo, Grace E. Oh, Kaori Idemaru, et al.. (2021). Rethinking the frequency code: a meta-analytic review of the role of acoustic body size in communicative phenomena. Philosophical Transactions of the Royal Society B Biological Sciences. 376(1840). 20200400–20200400. 23 indexed citations
5.
Idemaru, Kaori & Lori L. Holt. (2020). Generalization of dimension-based statistical learning. Attention Perception & Psychophysics. 82(4). 1744–1762. 17 indexed citations
6.
Idemaru, Kaori, et al.. (2019). Learning mechanisms in cue reweighting. Cognition. 189. 76–88. 16 indexed citations
7.
Idemaru, Kaori & Lori L. Holt. (2018). Relational Timing or Absolute Duration? Cue Weighting in the Perception of Japanese Singleton-Geminate Stops. Research Showcase @ Carnegie Mellon University (Carnegie Mellon University). 1 indexed citations
8.
Idemaru, Kaori, et al.. (2018). Acoustic Sources of Accent in Second Language Japanese Speech. Language and Speech. 62(2). 333–357. 14 indexed citations
9.
Vaughn, Charlotte, Melissa M. Baese‐Berk, & Kaori Idemaru. (2018). Re-Examining Phonetic Variability in Native and Non-Native Speech. Phonetica. 76(5). 327–358. 23 indexed citations
10.
Idemaru, Kaori, Lucien Brown, Bodo Winter, & Grace E. Oh. (2017). Loudness trumps pitch in politeness judgments: Evidence from Korean. The Journal of the Acoustical Society of America. 141(5_Supplement). 3700–3700. 1 indexed citations
11.
Idemaru, Kaori, Bodo Winter, & Lucien Brown. (2015). Role of pitch in perceiving politeness in Korean.. ICPhS. 2 indexed citations
12.
Brown, Lucien, Bodo Winter, Kaori Idemaru, & Sven Grawunder. (2014). Phonetics and politeness: Perceiving Korean honorific and non-honorific speech through phonetic cues. Journal of Pragmatics. 66. 45–60. 63 indexed citations
13.
Idemaru, Kaori & Lori L. Holt. (2013). Specificity of dimension-based statistical learning in word recognition.. Journal of Experimental Psychology Human Perception & Performance. 40(3). 1009–1021. 44 indexed citations
14.
Winter, Bodo, Lucien Brown, Kaori Idemaru, & Sven Grawunder. (2013). Perceiving politeness from speech acoustics alone: A cross-linguistic study on Korean and English. The Journal of the Acoustical Society of America. 134(5_Supplement). 4072–4072. 2 indexed citations
15.
Idemaru, Kaori & Lori L. Holt. (2013). The developmental trajectory of children's perception and production of English /r/-/l/. The Journal of the Acoustical Society of America. 133(6). 4232–4246. 35 indexed citations
16.
Idemaru, Kaori & Lori L. Holt. (2011). PRODUCTION AND PERCEPTION OF ENGLISH /l/ AND /r/ BY 4-, 5-, and 8-YEAR-OLD CHILDREN. ICPhS. 926–929. 2 indexed citations
17.
Idemaru, Kaori & Lori L. Holt. (2011). Word recognition reflects dimension-based statistical learning.. Journal of Experimental Psychology Human Perception & Performance. 37(6). 1939–1956. 104 indexed citations
18.
Idemaru, Kaori & Susan G. Guion. (2008). Acoustic covariants of length contrast in Japanese stops. Journal of the International Phonetic Association. 38(2). 167–186. 65 indexed citations
19.
Idemaru, Kaori, et al.. (2007). Singleton and geminate stops in Finnish - acoustic correlates. 2737–2740. 6 indexed citations
20.
Idemaru, Kaori & Susan G. Guion. (2006). An acoustic and perceptual investigation of the geminate and singleton stop contrast in Japanese. The Journal of the Acoustical Society of America. 119(5_Supplement). 3244–3244. 10 indexed citations

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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