Ryo Nitta
- Language and Linguistics top 5%
- Developmental and Educational Psychology top 10%
- Literature and Literary Theory top 5%
- Education
- Experimental and Cognitive Psychology
- Co-authors
- Kyoko BabaFumiyo NakatsuharaYoshiyuki NakataKoichi InoueSheena GardnerPaul Kei MatsudaMasanori SugimotoMiyuki Sasaki
- Topics
- EFL/ESL Teaching and Learning (8 papers)Discourse Analysis in Language Studies (6 papers)Second Language Learning and Teaching (3 papers)
- Cited by
- Language and LinguisticsDevelopmental and Educational PsychologyLiterature and Literary Theory
- Partner nations
- JapanUnited KingdomUnited States
In The Last Decade
Ryo Nitta
11 papers receiving 155 citations
Peers
Comparison fields: 5 of 36
- Language and Linguistics 101
- Developmental and Educational Psychology 94
- Literature and Literary Theory 68
- Education 35
- Experimental and Cognitive Psychology 21
Countries citing papers authored by Ryo Nitta
This map shows the geographic impact of Ryo Nitta'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 Ryo Nitta with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ryo Nitta more than expected).
Fields of papers citing papers by Ryo Nitta
This network shows the impact of papers produced by Ryo Nitta. 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 Ryo Nitta. The network helps show where Ryo Nitta may publish in the future.
Co-authorship network of co-authors of Ryo Nitta
This figure shows the co-authorship network connecting the top 25 collaborators of Ryo Nitta. A scholar is included among the top collaborators of Ryo Nitta 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 Ryo Nitta. Ryo Nitta is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 9 | |
| 2 | Reconceptualizing CLIL From Transformative Pedagogy Perspective : Pilot Debate Study in English Language Curriculum | 0 |
| 3 | 1 | |
| 4 | 22 | |
| 5 | 46 | |
| 6 | 58 | |
| 7 | Dynamic Effects of Task Type Practice on the Japanese EFL University Student's Writing: Text Analysis with Coh-Metrix | 3 |
| 8 | Understanding motivation-in-action from a Dynamic Systems Approach 1) | 1 |
| 9 | Form-focused tasks in ELT coursebooks: A framework for analysis | 1 |
| 10 | A Flying Robot That Interacts with Humans | 1 |
| 11 | 25 | |
| 12 | Development of a new all-wheel-drive control system | 4 |
About Ryo Nitta
Ryo Nitta is a scholar working on Language and Linguistics, Literature and Literary Theory and Human-Computer Interaction, having authored 12 papers that have together received 171 indexed citations. Recurring topics across this work include EFL/ESL Teaching and Learning (8 papers), Discourse Analysis in Language Studies (6 papers) and Second Language Learning and Teaching (3 papers). The work is most often cited by research in Language and Linguistics (101 citations), Developmental and Educational Psychology (94 citations) and Literature and Literary Theory (68 citations). Ryo Nitta has collaborated with scholars based in Japan, United Kingdom and United States. Frequent co-authors include Kyoko Baba, Fumiyo Nakatsuhara, Yoshiyuki Nakata, Koichi Inoue, Sheena Gardner, Paul Kei Matsuda, Masanori Sugimoto and Miyuki Sasaki. Their work appears in journals such as Language Learning, Journal of Second Language Writing and ELT Journal.
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.