Yoshiro Miyata
- Artificial Intelligence top 10%
- Experimental and Cognitive Psychology top 10%
- Language and Linguistics top 10%
- Linguistics and Language top 10%
- Cognitive Neuroscience
- Topics
- Digital literacy in education (2 papers)Natural Language Processing Techniques (2 papers)Innovative Teaching and Learning Methods (1 paper)
- Journals
- SHILAP Revista de lepidopterologíaRIED Revista Iberoamericana de Educación a DistanciaNeural Information Processing Systems
- Partner nations
- JapanSpainUnited States
In The Last Decade
Yoshiro Miyata
10 papers receiving 178 citations
Peers
Comparison fields: 5 of 38
- Artificial Intelligence 151
- Experimental and Cognitive Psychology 95
- Language and Linguistics 55
- Linguistics and Language 46
- Cognitive Neuroscience 34
Countries citing papers authored by Yoshiro Miyata
This map shows the geographic impact of Yoshiro Miyata'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 Yoshiro Miyata with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yoshiro Miyata more than expected).
Fields of papers citing papers by Yoshiro Miyata
This network shows the impact of papers produced by Yoshiro Miyata. 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 Yoshiro Miyata. The network helps show where Yoshiro Miyata may publish in the future.
Co-authorship network of co-authors of Yoshiro Miyata
This figure shows the co-authorship network connecting the top 25 collaborators of Yoshiro Miyata. A scholar is included among the top collaborators of Yoshiro Miyata 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 Yoshiro Miyata. Yoshiro Miyata is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 3 | |
| 2 | 6 | |
| 3 | 0 | |
| 4 | Playshop as space for emergent learning | 1 |
| 5 | Principles for an Integrated Connectionist/Symbolic Theory of Higher Cognition ; CU-CS-600-92 | 31 |
| 6 | 6 | |
| 7 | Distributed Recursive Structure Processing | 5 |
| 8 | Can Connectionism Contribute to Syntax? Harmonic Grammar, with an Application ; CU-CS-485-90 | 2 |
| 9 | Harmonic Grammar -- A Formal Multi-Level Connectionist Theory of Linguistic Well-Formedness: Theoretical Foundations ; CU-CS-465-90 | 88 |
| 10 | Harmonic Grammar -- A Formal Multi-Level Connectionist Theory of Linguistic Well-Formedness: An Application ; CU-CS-464-90 | 62 |
| 11 | The learning and planning of actions | 29 |
About Yoshiro Miyata
Yoshiro Miyata is a scholar working on Architecture, Computer Science Applications and Human-Computer Interaction, having authored 11 papers that have together received 233 indexed citations. Recurring topics across this work include Digital literacy in education (2 papers), Natural Language Processing Techniques (2 papers) and Innovative Teaching and Learning Methods (1 paper). The work is most often cited by research in Linguistics and Language (46 citations), Experimental and Cognitive Psychology (95 citations) and Language and Linguistics (55 citations). Yoshiro Miyata has collaborated with scholars based in Japan, Spain and United States. Frequent co-authors include Géraldine Légendre, Paul Smolensky, José Manuel Sáez López, Yasushi Harada and Masaki Inoue. Their work appears in journals such as SHILAP Revista de lepidopterología, RIED Revista Iberoamericana de Educación a Distancia and Neural Information Processing Systems.
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.