Yoonsook Mo

623 citations
17 papers · 315 · h-index 8

Impact in

Papers in

Yoonsook Mo

16 papers receiving 253 citations

Peers

Yoonsook Mo
Comparison fields: 5 of 25
  • Linguistics and Language 128
  • Experimental and Cognitive Psychology 278
  • Language and Linguistics 96
  • Artificial Intelligence 145
  • Developmental and Educational Psychology 50
Replace Tina Burrows with:
Tina Burrows United Kingdom
Jongho Jun South Korea
Cédric Gendrot France
Olga Dmitrieva United States
Daniel Pape Germany
Cinzia Avesani Italy
Bistra Andreeva Germany
Caroline L. Smith United States
Sasha Calhoun New Zealand
Jörg Peters Germany
Yoonsook Mo relative to Tina Burrows United Kingdom Tina Burrows's profile →
Citations per field
00.5×1.5×2.2×
Tina Burrows · 1×
Citations per year

Countries citing papers authored by Yoonsook Mo

Since Specialization
Citations

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

Fields of papers citing papers by Yoonsook Mo

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 11 scholars most cited alongside Yoonsook Mo, 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 Yoonsook Mo Line = papers co-authored together Yoonsook Mo links everyone, so they are left out of the graph.

All Works

17 of 17 papers shown
#Work
1 2010119
2 201067
3 200848
4 200923
5 201010
6
TEMPORAL, SPECTRAL EVIDENCE OF DEVOICED VOWELS IN KOREAN
20079
7
Prosodic parallelism as a cue to repetition and error correction disfluency.
20059
8 20087
9 20115
10 20084
11 20103
12 20083
13 20093
14
Prosodic parallelism as a cue to repetition disfluency
20052
15 20102
16 20101
17 20100

About Yoonsook Mo

Yoonsook Mo is a scholar working on Experimental and Cognitive Psychology, Artificial Intelligence, Linguistics and Language, Language and Linguistics and General Health Professions, having authored 17 papers that have together received 315 indexed citations. Recurring topics across this work include Phonetics and Phonology Research (15 papers), Linguistic Variation and Morphology (8 papers), Speech Recognition and Synthesis (8 papers), Speech and dialogue systems (8 papers), Spanish Linguistics and Language Studies (1 paper), Hermeneutics and Narrative Identity (1 paper), Speech and Audio Processing (1 paper) and Language and cultural evolution (1 paper). The work is most often cited by research in Linguistics and Language (128 citations), Experimental and Cognitive Psychology (278 citations), Language and Linguistics (96 citations), Artificial Intelligence (145 citations) and Developmental and Educational Psychology (50 citations). Yoonsook Mo has collaborated with scholars based in United States. Frequent co-authors include Jennifer Cole, Mark Hasegawa‐Johnson, Eun Kyung Lee, Margaret M. Fleck, Louis Goldstein, Stefanie Shattuck‐Hufnagel, José Ignacio Hualde, Heejin Kim, Tae-Jin Yoon and Chilin Shih. Their work appears in journals such as The Journal of the Acoustical Society of America, Laboratory Phonology Journal of the Association for Laboratory Phonology, Language and Cognitive Processes and Proceedings of the Annual Meeting of the Berkeley Linguistics Society.

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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