Shungo Suzuki

570 total citations
22 papers, 303 citations indexed

About

Shungo Suzuki is a scholar working on Language and Linguistics, Experimental and Cognitive Psychology and Developmental and Educational Psychology. According to data from OpenAlex, Shungo Suzuki has authored 22 papers receiving a total of 303 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Language and Linguistics, 10 papers in Experimental and Cognitive Psychology and 10 papers in Developmental and Educational Psychology. Recurrent topics in Shungo Suzuki's work include EFL/ESL Teaching and Learning (13 papers), Second Language Acquisition and Learning (9 papers) and Phonetics and Phonology Research (5 papers). Shungo Suzuki is often cited by papers focused on EFL/ESL Teaching and Learning (13 papers), Second Language Acquisition and Learning (9 papers) and Phonetics and Phonology Research (5 papers). Shungo Suzuki collaborates with scholars based in United Kingdom, Japan and Austria. Shungo Suzuki's co-authors include Judit Kormos, Takumi Uchihara, Kazuya Saito, Guanliang Chen, Yuka Akiyama, Benjamin Kremmel, Masaki Eguchi, Yui Suzukida, Patrick Rebuschat and Yuichi Suzuki and has published in prestigious journals such as Modern Language Journal, TESOL Quarterly and Language Learning.

In The Last Decade

Shungo Suzuki

20 papers receiving 297 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Shungo Suzuki United Kingdom 9 186 155 112 70 50 22 303
A.F. Florijn Netherlands 3 237 1.3× 205 1.3× 85 0.8× 69 1.0× 103 2.1× 4 332
Barbara M. Birch United States 6 196 1.1× 114 0.7× 97 0.9× 41 0.6× 46 0.9× 15 290
Heather Hilton France 8 231 1.2× 201 1.3× 63 0.6× 62 0.9× 110 2.2× 23 342
Danijela Trenkic United Kingdom 10 203 1.1× 205 1.3× 73 0.7× 101 1.4× 83 1.7× 17 363
Megan Solon United States 9 145 0.8× 72 0.5× 80 0.7× 38 0.5× 65 1.3× 33 237
Anne-France Pinget Netherlands 5 153 0.8× 101 0.7× 149 1.3× 66 0.9× 42 0.8× 11 260
Daniel O. Jackson Japan 8 233 1.3× 222 1.4× 115 1.0× 43 0.6× 123 2.5× 20 428
Amanda Huensch United States 13 214 1.2× 122 0.8× 190 1.7× 99 1.4× 74 1.5× 26 380
Matthew T. Carlson United States 9 137 0.7× 133 0.9× 107 1.0× 46 0.7× 87 1.7× 25 345
Carol Lynn Moder United States 7 176 0.9× 105 0.7× 112 1.0× 87 1.2× 42 0.8× 13 328

Countries citing papers authored by Shungo Suzuki

Since Specialization
Citations

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

Fields of papers citing papers by Shungo Suzuki

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Shungo Suzuki

This figure shows the co-authorship network connecting the top 25 collaborators of Shungo Suzuki. A scholar is included among the top collaborators of Shungo Suzuki 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 Shungo Suzuki. Shungo Suzuki 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
2.
Suzuki, Shungo, et al.. (2025). The role of multiword sequences in fluent speech. Studies in Second Language Acquisition. 47(2). 512–532.
4.
Suzuki, Shungo, et al.. (2024). Gauging the validity of machine learning-based temporal feature annotation to measure fluency in speech automatically. Research Methods in Applied Linguistics. 4(1). 100177–100177. 1 indexed citations
5.
Suzuki, Shungo, et al.. (2024). Generative AI for professional communication training in intercultural contexts: where are we now and where are we heading?. Applied Linguistics Review. 16(2). 763–774. 17 indexed citations
6.
Hua, Zhu, Guanliang Chen, Spencer Hazel, et al.. (2024). Exploring AI for intercultural communication: open conversation. Applied Linguistics Review. 16(2). 809–824. 2 indexed citations
7.
Kormos, Judit, et al.. (2024). The role of creativity in second language writing performance. Learning and Individual Differences. 114. 102500–102500. 2 indexed citations
8.
Suzuki, Shungo & Judit Kormos. (2024). The moderating role of L2 proficiency in the predictive power of L1 fluency on L2 utterance fluency. Language Testing. 42(1). 73–99. 4 indexed citations
9.
Kormos, Judit & Shungo Suzuki. (2024). Creativity and the linguistic features of argumentative and narrative written task performance. System. 127. 103531–103531. 3 indexed citations
10.
Révész, Andrea, et al.. (2024). Task-generated processes in second language speech production: Exploring the neural correlates of task complexity during silent pauses. Studies in Second Language Acquisition. 46(4). 1179–1205. 1 indexed citations
11.
Kormos, Judit, et al.. (2023). Investigating the impact of self-pacing on the L2 listening performance of young learner candidates with differing L1 literacy skills. Language Testing. 40(4). 960–983. 6 indexed citations
12.
Kremmel, Benjamin, et al.. (2023). Unknown Vocabulary Density and Reading Comprehension: Replicating Hu and Nation (2000). Language Learning. 73(4). 1127–1163. 7 indexed citations
13.
Suzuki, Shungo & Judit Kormos. (2022). The multidimensionality of second language oral fluency: Interfacing cognitive fluency and utterance fluency. Studies in Second Language Acquisition. 45(1). 38–64. 39 indexed citations
14.
Suzuki, Shungo, et al.. (2022). How Does Creativity Affect Second Language Speech Production? The Moderating Role of Speaking Task Type. TESOL Quarterly. 56(4). 1320–1344. 15 indexed citations
15.
Suzuki, Shungo, Judit Kormos, & Takumi Uchihara. (2021). The Relationship Between Utterance and Perceived Fluency: A Meta‐Analysis of Correlational Studies. Modern Language Journal. 105(2). 435–463. 48 indexed citations
16.
Eguchi, Masaki, Shungo Suzuki, & Yuichi Suzuki. (2021). LEXICAL COMPETENCE UNDERLYING SECOND LANGUAGE WORD ASSOCIATION TASKS. Studies in Second Language Acquisition. 44(1). 112–142. 2 indexed citations
17.
Suzuki, Shungo & Judit Kormos. (2019). LINGUISTIC DIMENSIONS OF COMPREHENSIBILITY AND PERCEIVED FLUENCY: AN INVESTIGATION OF COMPLEXITY, ACCURACY, AND FLUENCY IN SECOND LANGUAGE ARGUMENTATIVE SPEECH. Studies in Second Language Acquisition. 42(1). 143–167. 67 indexed citations
18.
Saito, Kazuya, et al.. (2019). How does longitudinal interaction promote second language speech learning? Roles of learner experience and proficiency levels. Second language Research. 37(4). 547–571. 19 indexed citations
19.
Suzuki, Shungo, et al.. (2019). Exploring the Dynamic Nature of Second Language Listeners’ Perceived Fluency: A Mixed‐Methods Approach. TESOL Quarterly. 53(4). 1139–1150. 17 indexed citations
20.
Saito, Kazuya, et al.. (2018). Acoustic characteristics and learner profiles of low-, mid- and high-level second language fluency. Applied Psycholinguistics. 39(3). 593–617. 35 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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