Masaki Eguchi

820 total citations · 1 hit paper
24 papers, 442 citations indexed

About

Masaki Eguchi is a scholar working on Artificial Intelligence, Developmental and Educational Psychology and Language and Linguistics. According to data from OpenAlex, Masaki Eguchi has authored 24 papers receiving a total of 442 indexed citations (citations by other indexed papers that have themselves been cited), including 19 papers in Artificial Intelligence, 14 papers in Developmental and Educational Psychology and 9 papers in Language and Linguistics. Recurrent topics in Masaki Eguchi's work include Natural Language Processing Techniques (16 papers), Second Language Acquisition and Learning (14 papers) and Text Readability and Simplification (12 papers). Masaki Eguchi is often cited by papers focused on Natural Language Processing Techniques (16 papers), Second Language Acquisition and Learning (14 papers) and Text Readability and Simplification (12 papers). Masaki Eguchi collaborates with scholars based in United States, Japan and United Kingdom. Masaki Eguchi's co-authors include Atsushi Mizumoto, Kristopher Kyle, Yuichi Suzuki, Takumi Uchihara, Nel de Jong, Kazuya Saito, Shungo Suzuki, Geoffrey T. LaFlair, Judit Kormos and Tetsuo Harada and has published in prestigious journals such as Modern Language Journal, TESOL Quarterly and System.

In The Last Decade

Masaki Eguchi

24 papers receiving 412 citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Exploring the potential of using an AI language model for automated essay scoring

2023 260 citations Atsushi Mizumoto, Masaki Eguchi Research Methods in Applied Linguistics profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Masaki Eguchi United States	8	260	142	97	83	81	24	442
Waverly Tseng United States	5	150 0.6×	72 0.5×	108 1.1×	105 1.3×	36 0.4×	6	348
Yanfang Su Hong Kong	4	185 0.7×	87 0.6×	133 1.4×	98 1.2×	21 0.3×	7	342
Yangyu Xiao China	9	80 0.3×	87 0.6×	83 0.9×	63 0.8×	61 0.8×	17	358
Svetlana Koltovskaia United States	4	91 0.3×	88 0.6×	52 0.5×	54 0.7×	83 1.0×	8	289
Da Yan China	7	217 0.8×	54 0.4×	198 2.0×	143 1.7×	19 0.2×	11	442
Yun Lin China	3	171 0.7×	57 0.4×	129 1.3×	92 1.1×	14 0.2×	6	302
Amr M. Mohamed Saudi Arabia	6	154 0.6×	59 0.4×	106 1.1×	123 1.5×	12 0.1×	21	349
John Maurice Gayed Japan	4	112 0.4×	44 0.3×	64 0.7×	82 1.0×	25 0.3×	8	256
Youngsun Moon South Korea	6	85 0.3×	67 0.5×	46 0.5×	57 0.7×	30 0.4×	11	228
Jeffrey Maloney United States	4	74 0.3×	74 0.5×	32 0.3×	46 0.6×	52 0.6×	6	299

Countries citing papers authored by Masaki Eguchi

Since Specialization

Citations

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

Fields of papers citing papers by Masaki Eguchi

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Masaki Eguchi

This figure shows the co-authorship network connecting the top 25 collaborators of Masaki Eguchi. A scholar is included among the top collaborators of Masaki Eguchi 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 Masaki Eguchi. Masaki Eguchi is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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20 of 20 papers shown

Eguchi, Masaki, et al.. (2025). Human‐ versus artificial intelligence‐delivered roleplay tasks for assessing interactional competence: An applied conversation analytic study. TESOL Quarterly. 59(S1). 1 indexed citations

Eguchi, Masaki, et al.. (2025). Gnowsis: Multimodal multitask learning for oral proficiency assessments. Computer Speech & Language. 95. 101860–101860. 1 indexed citations

Kyle, Kristopher & Masaki Eguchi. (2024). Evaluating NLP models with written and spoken L2 samples. Research Methods in Applied Linguistics. 3(2). 100120–100120. 4 indexed citations

Eguchi, Masaki, et al.. (2024). Arbitrary choices, arbitrary results: Three cases of multiverse analysis in L2 research. Research Methods in Applied Linguistics. 3(2). 100124–100124. 1 indexed citations

Eguchi, Masaki, et al.. (2024). InteLLA: Intelligent Language Learning Assistant for Assessing Language Proficiency through Interviews and Roleplays. 385–399. 5 indexed citations

Eguchi, Masaki & Kristopher Kyle. (2024). Building custom NLP tools to annotate discourse-functional features for second language writing research: A tutorial. Research Methods in Applied Linguistics. 3(3). 100153–100153. 1 indexed citations

Mizumoto, Atsushi & Masaki Eguchi. (2023). Exploring the Potential of Using an Ai Language Model for Automated Essay Scoring. SSRN Electronic Journal. 31 indexed citations

Eguchi, Masaki & Kristopher Kyle. (2023). Span Identification of Epistemic Stance-Taking in Academic Written English. 429–442. 1 indexed citations

Eguchi, Masaki & Kristopher Kyle. (2023). L2 collocation profiles and their relationship with vocabulary proficiency: A learner corpus approach. Journal of Second Language Writing. 60. 100975–100975. 8 indexed citations

10.

Uchihara, Takumi, et al.. (2022). The contribution of guessing from context and dictionary use to receptive and productive vocabulary knowledge: A structural equation modeling approach. Language Teaching Research. 29(6). 2583–2606. 6 indexed citations

11.

Eguchi, Masaki. (2022). Modeling Lexical and Phraseological Sophistication in Oral Proficiency Interviews: A Conceptual Replication. 11(2). 1–16. 2 indexed citations

12.

Suzuki, Yuichi, Masaki Eguchi, & Nel de Jong. (2022). Does the Reuse of Constructions Promote Fluency Development in Task Repetition? A Usage‐Based Perspective. TESOL Quarterly. 56(4). 1290–1319. 13 indexed citations

13.

Kyle, Kristopher, et al.. (2022). A Dependency Treebank of Spoken Second Language English. 39–45. 5 indexed citations

14.

Kyle, Kristopher, et al.. (2022). Register variation in spoken and written language use across technology-mediated and non-technology-mediated learning environments. Language Testing. 39(4). 618–648. 5 indexed citations

15.

Uchihara, Takumi, et al.. (2021). To What Extent is Collocation Knowledge Associated with Oral Proficiency? A Corpus-Based Approach to Word Association. Language and Speech. 65(2). 311–336. 15 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.

Kyle, Kristopher, et al.. (2021). A Comparison of Spoken and Written Language Use in Traditional andTechnology‐MediatedLearning Environments. ETS Research Report Series. 2021(1). 1–29. 5 indexed citations

18.

Eguchi, Masaki & Kristopher Kyle. (2020). Continuing to Explore the Multidimensional Nature of Lexical Sophistication: The Case of Oral Proficiency Interviews. Modern Language Journal. 104(2). 381–400. 43 indexed citations

19.

Harada, Tetsuo, et al.. (2017). Investigating English Speaking Anxiety in English-Medium Instruction. Waseda University Repository (Waseda University). 46. 7–23. 4 indexed citations

20.

Eguchi, Masaki, et al.. (2016). Investigating the Relationship Between Students' Attitudes Toward English-Medium Instruction and L2 Speaking. Waseda University Repository (Waseda University). 25–41. 5 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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