Masaki Eguchi
- Artificial Intelligence top 5%
- Developmental and Educational Psychology top 10%
- Health Informatics top 1%
- Computer Science Applications top 5%
- Language and Linguistics top 5%
- Co-authors
- Atsushi MizumotoKristopher KyleYuichi SuzukiTakumi UchiharaNel de JongKazuya SaitoShungo SuzukiGeoffrey T. LaFlair
- Topics
- Natural Language Processing Techniques (16 papers)Second Language Acquisition and Learning (14 papers)Text Readability and Simplification (12 papers)
- Partner nations
- United StatesJapanUnited Kingdom
In The Last Decade
Masaki Eguchi
24 papers receiving 412 citations
Hit Papers
Peers
Comparison fields: 5 of 44
- Artificial Intelligence 260
- Developmental and Educational Psychology 142
- Health Informatics 97
- Computer Science Applications 83
- Language and Linguistics 81
Countries citing papers authored by Masaki Eguchi
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
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
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 1 | |
| 3 | 4 | |
| 4 | 1 | |
| 5 | 5 | |
| 6 | 1 | |
| 7 | 31 | |
| 8 | 1 | |
| 9 | 8 | |
| 10 | 6 | |
| 11 | 2 | |
| 12 | 13 | |
| 13 | 5 | |
| 14 | 5 | |
| 15 | 15 | |
| 16 | 2 | |
| 17 | 5 | |
| 18 | 43 | |
| 19 | Investigating English Speaking Anxiety in English-Medium Instruction | 4 |
| 20 | Investigating the Relationship Between Students' Attitudes Toward English-Medium Instruction and L2 Speaking | 5 |
About Masaki Eguchi
Masaki Eguchi is a scholar working on Developmental and Educational Psychology, Language and Linguistics and Health Informatics, having authored 24 papers that have together received 442 indexed citations. Recurring topics across this work include Natural Language Processing Techniques (16 papers), Second Language Acquisition and Learning (14 papers) and Text Readability and Simplification (12 papers). The work is most often cited by research in Health Informatics (97 citations), Computer Science Applications (83 citations) and Developmental and Educational Psychology (142 citations). Masaki Eguchi has collaborated with scholars based in United States, Japan and United Kingdom. Frequent 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. Their work appears in journals such as Modern Language Journal, TESOL Quarterly and System.
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.