Yoshiro Miyata

572 total citations
11 papers, 233 citations indexed

About

Yoshiro Miyata is a scholar working on Information Systems, Artificial Intelligence and Sociology and Political Science. According to data from OpenAlex, Yoshiro Miyata has authored 11 papers receiving a total of 233 indexed citations (citations by other indexed papers that have themselves been cited), including 3 papers in Information Systems, 3 papers in Artificial Intelligence and 2 papers in Sociology and Political Science. Recurrent topics in Yoshiro Miyata's work include Digital literacy in education (2 papers), Natural Language Processing Techniques (2 papers) and Innovative Teaching and Learning Methods (1 paper). Yoshiro Miyata is often cited by papers focused on Digital literacy in education (2 papers), Natural Language Processing Techniques (2 papers) and Innovative Teaching and Learning Methods (1 paper). Yoshiro Miyata collaborates with scholars based in Japan, Spain and United States. Yoshiro Miyata's co-authors include Paul Smolensky, Géraldine Légendre, José Manuel Sáez López, Yasushi Harada and Masaki Inoue and has published in prestigious journals such as SHILAP Revista de lepidopterología, RIED Revista Iberoamericana de Educación a Distancia and Neural Information Processing Systems.

In The Last Decade

Yoshiro Miyata

10 papers receiving 178 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Yoshiro Miyata Japan 6 151 95 55 46 34 11 233
James Thorne United Kingdom 13 279 1.8× 73 0.8× 133 2.4× 28 0.6× 15 0.4× 28 492
Jason Riggle United States 8 139 0.9× 96 1.0× 47 0.9× 43 0.9× 9 0.3× 21 224
John K. Pate Australia 7 234 1.5× 62 0.7× 39 0.7× 43 0.9× 24 0.7× 16 338
Jane Chandlee United States 8 160 1.1× 120 1.3× 54 1.0× 27 0.6× 22 0.6× 22 242
Giorgio Magri France 7 160 1.1× 93 1.0× 162 2.9× 25 0.5× 30 0.9× 33 286
Tim Van de Cruys France 11 292 1.9× 58 0.6× 80 1.5× 15 0.3× 19 0.6× 34 400
Archna Bhatia United States 9 310 2.1× 41 0.4× 86 1.6× 33 0.7× 27 0.8× 26 412
Gregory M. Kobele United States 7 144 1.0× 49 0.5× 111 2.0× 19 0.4× 27 0.8× 23 198
Lynne Cahill United Kingdom 11 198 1.3× 35 0.4× 38 0.7× 13 0.3× 13 0.4× 28 252
Maria Lapata United Kingdom 10 294 1.9× 47 0.5× 61 1.1× 15 0.3× 25 0.7× 11 346

Countries citing papers authored by Yoshiro Miyata

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

11 of 11 papers shown
2.
López, José Manuel Sáez, et al.. (2013). Uso de edmodo en proyectos colaborativos internacionales en educación primaria. SHILAP Revista de lepidopterología. a224–a224. 6 indexed citations
4.
Miyata, Yoshiro, et al.. (2006). Playshop as space for emergent learning. International Conference of Learning Sciences. 964–965. 1 indexed citations
5.
Smolensky, Paul, Géraldine Légendre, & Yoshiro Miyata. (1992). Principles for an Integrated Connectionist/Symbolic Theory of Higher Cognition ; CU-CS-600-92. CU Scholar (University of Colorado Boulder). 31 indexed citations
6.
Légendre, Géraldine, Yoshiro Miyata, & Paul Smolensky. (1991). Unifying Syntactic and Semantic Approaches to Unaccusativity: A Connectionist Approach. Proceedings of the Annual Meeting of the Berkeley Linguistics Society. 17(1). 156–156. 6 indexed citations
7.
Légendre, Géraldine, Yoshiro Miyata, & Paul Smolensky. (1990). Distributed Recursive Structure Processing. Neural Information Processing Systems. 47–53. 5 indexed citations
8.
Légendre, Géraldine, Yoshiro Miyata, & Paul Smolensky. (1990). Can Connectionism Contribute to Syntax? Harmonic Grammar, with an Application ; CU-CS-485-90. CU Scholar (University of Colorado Boulder). 2 indexed citations
9.
Légendre, Géraldine, Yoshiro Miyata, & Paul Smolensky. (1990). Harmonic Grammar -- A Formal Multi-Level Connectionist Theory of Linguistic Well-Formedness: An Application ; CU-CS-464-90. CU Scholar (University of Colorado Boulder). 62 indexed citations
10.
Légendre, Géraldine, Yoshiro Miyata, & Paul Smolensky. (1990). Harmonic Grammar -- A Formal Multi-Level Connectionist Theory of Linguistic Well-Formedness: Theoretical Foundations ; CU-CS-465-90. CU Scholar (University of Colorado Boulder). 88 indexed citations
11.
Miyata, Yoshiro. (1988). The learning and planning of actions. 29 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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