Kakuko Miyata

15 total papers · 1.3k total citations
10 papers, 649 citations indexed

About

Kakuko Miyata is a scholar working on Communication, Statistical and Nonlinear Physics and Sociology and Political Science. According to data from OpenAlex, Kakuko Miyata has authored 10 papers receiving a total of 649 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Communication, 5 papers in Statistical and Nonlinear Physics and 4 papers in Sociology and Political Science. Recurrent topics in Kakuko Miyata's work include Social Media and Politics (8 papers), Opinion Dynamics and Social Influence (5 papers) and Impact of Technology on Adolescents (2 papers). Kakuko Miyata is often cited by papers focused on Social Media and Politics (8 papers), Opinion Dynamics and Social Influence (5 papers) and Impact of Technology on Adolescents (2 papers). Kakuko Miyata collaborates with scholars based in Japan and United States. Kakuko Miyata's co-authors include Anabel Quan‐Haase, Keith N. Hampton, Barry Wellman, Wenhong Chen, Jeffrey Boase, Tetsuro Kobayashi, Ken’ichi Ikeda, H. Yamamoto, Osamu Hiroi and Kenichi Ikeda and has published in prestigious journals such as American Behavioral Scientist, Journal of Computer-Mediated Communication and Information Communication & Society.

In The Last Decade

Kakuko Miyata

9 papers receiving 566 citations

Hit Papers

The Social Affordances of... 2006 2026 2012 2019 2006 100 200 300 400

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Kakuko Miyata 428 377 73 47 47 10 649
Debbie Denise Reese 362 0.8× 285 0.8× 58 0.8× 78 1.7× 29 0.6× 16 602
Alcides Velásquez 454 1.1× 463 1.2× 46 0.6× 61 1.3× 45 1.0× 26 746
Mora Matassi 419 1.0× 456 1.2× 33 0.5× 51 1.1× 34 0.7× 12 657
Andrew Schrock 303 0.7× 212 0.6× 78 1.1× 49 1.0× 15 0.3× 18 571
Jan Heim 420 1.0× 265 0.7× 68 0.9× 126 2.7× 19 0.4× 18 742
Cheonsoo Kim 523 1.2× 439 1.2× 78 1.1× 18 0.4× 110 2.3× 8 726
Luca Braghieri 454 1.1× 211 0.6× 56 0.8× 61 1.3× 54 1.1× 11 731
Chance York 554 1.3× 385 1.0× 42 0.6× 71 1.5× 75 1.6× 19 778
Yuli Patrick Hsieh 443 1.0× 270 0.7× 40 0.5× 104 2.2× 24 0.5× 18 735
Gary Hanson 421 1.0× 323 0.9× 33 0.5× 28 0.6× 20 0.4× 10 607

Countries citing papers authored by Kakuko Miyata

Since Specialization
Citations

This map shows the geographic impact of Kakuko 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 Kakuko Miyata with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Kakuko Miyata more than expected).

Fields of papers citing papers by Kakuko Miyata

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Kakuko 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 Kakuko Miyata. The network helps show where Kakuko Miyata may publish in the future.

Co-authorship network of co-authors of Kakuko Miyata

This figure shows the co-authorship network connecting the top 25 collaborators of Kakuko Miyata. A scholar is included among the top collaborators of Kakuko 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 Kakuko Miyata. Kakuko Miyata is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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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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