John Maurice Gayed
Impact in
- Health Informatics top 2%
- Artificial Intelligence in Healthcare and Education
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- Online Learning and Analytics
Papers in
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- Second Language Acquisition and Learning 3
- Educational Strategies and Epistemologies 1
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- EFL/ESL Teaching and Learning 2
- Co-authors
- May Kristine Jonson Carlon (3 shared papers)Jeffrey S. Cross (3 shared papers)Gilbert Dizon (3 shared papers)Donn Emmanuel Gonda (1 shared paper)
- Journals
- Computers and Education Artificial Intelligence (1 paper)The JALT CALL Journal (1 paper)Computer Assisted Language Learning (1 paper)Cogent Education (2 papers)Institutional Repositories DataBase (IRDB) (1 paper)
In The Last Decade
John Maurice Gayed
7 papers receiving 259 citations
John Maurice Gayed's Hit Papers
Peers
Comparison fields: 5 of 41
- Health Informatics 66
- Computer Science Applications 81
- Developmental and Educational Psychology 48
- Artificial Intelligence 115
- Language and Linguistics 28
Countries citing papers authored by John Maurice Gayed
This map shows the geographic impact of John Maurice Gayed'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 John Maurice Gayed with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites John Maurice Gayed more than expected).
Fields of papers citing papers by John Maurice Gayed
This network shows the impact of papers produced by John Maurice Gayed. 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 John Maurice Gayed. The network helps show where John Maurice Gayed may publish in the future.
Co-authors
The 4 scholars most cited alongside John Maurice Gayed, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | Exploring an AI-based writing Assistant's impact on English language learners Hit paper breakdown → | 2022 | 179 |
| 2 | 2021 | 69 | |
| 3 | 2024 | 16 | |
| 4 | 2025 | 8 | |
| 5 | An exploratory study on the use of interactive video via Netflix to improve second language aural vocabulary learning | 2021 | 3 |
| 6 | 2024 | 3 | |
| 7 | 2022 | 3 | |
| 8 | 2021 | 0 |
About John Maurice Gayed
John Maurice Gayed is a scholar working on Developmental and Educational Psychology, Language and Linguistics, Education, Sociology and Political Science and Literature and Literary Theory, having authored 8 papers that have together received 281 indexed citations. Recurring topics across this work include Second Language Acquisition and Learning (3 papers), Discourse Analysis in Language Studies (2 papers), EFL/ESL Teaching and Learning (2 papers), Online Learning and Analytics (2 papers), Student Assessment and Feedback (1 paper), Writing and Handwriting Education (1 paper), Intelligent Tutoring Systems and Adaptive Learning (1 paper) and Educational Strategies and Epistemologies (1 paper). The work is most often cited by research in Health Informatics (66 citations), Computer Science Applications (81 citations), Developmental and Educational Psychology (48 citations), Artificial Intelligence (115 citations) and Language and Linguistics (28 citations). John Maurice Gayed has collaborated with scholars based in Japan and Hong Kong. Frequent co-authors include May Kristine Jonson Carlon, Jeffrey S. Cross, Gilbert Dizon and Donn Emmanuel Gonda. Their work appears in journals such as Computers and Education Artificial Intelligence, The JALT CALL Journal, Computer Assisted Language Learning, Cogent Education and Institutional Repositories DataBase (IRDB).
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.