Kakuko Miyata

1.3k total citations · 1 hit paper
10 papers, 651 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 651 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 Complex Network Analysis Techniques (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 Complex Network Analysis Techniques (2 papers). Kakuko Miyata collaborates with scholars based in Japan and United States. Kakuko Miyata's co-authors include Keith N. Hampton, Barry Wellman, Anabel Quan‐Haase, Jeffrey Boase, Wenhong Chen, 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 568 citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

The Social Affordances of the Internet for Networked Individualism

2006 455 citations Barry Wellman, Anabel Quan‐Haase et al. Journal of Computer-Mediated Communication profile →

Peers

Kakuko Miyata

SPS

COMMU

PSIR

EDUCA

SNP

Alcides Velásquez United States

Debbie Denise Reese United States

Jan Heim Norway

Chance York United States

Toby Hopp United States

Jakob Ohme Netherlands

Farida Vis United Kingdom

Paul Zube United States

Wolfgang Schweiger Germany

Dustin Harp United States

Alcides Velásquez United States

Kakuko Miyata

459 ×1.1

SPS

466 ×1.2

COMMU

46 ×0.6

PSIR

61 ×1.3

EDUCA

45 ×0.9

SNP

Citations per year, relative to Kakuko Miyata Kakuko Miyata (= 1×) peers Alcides Velásquez

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

Sort: Min cites: Since: Top N: Style:

10 of 10 papers shown

1.

Miyata, Kakuko, et al.. (2015). What Affects the Spiral of Silence and the Hard Core on Twitter? An Analysis of the Nuclear Power Issue in Japan. American Behavioral Scientist. 59(9). 1129–1141. 22 indexed citations

2.

Miyata, Kakuko, et al.. (2014). The effects of online news on the political process : Direct and indirect effects on political knowledge. Medical Entomology and Zoology. 30(1). 21–34.

3.

Yamamoto, H., et al.. (2014). The Effect that the Majority Recognition of the Opinion and the Homogeneity of the Personal Network Bring for Tweets in Twitter. Transactions of the Japanese Society for Artificial Intelligence. 29(5). 483–492. 2 indexed citations

4.

Miyata, Kakuko, et al.. (2013). Association between Selective Exposure and Attitude on Twitter. 16. 122–125. 4 indexed citations

5.

Yamamoto, H., et al.. (2013). A New Perspective of Opinion Leaders on Twitter. 1 indexed citations

6.

Miyata, Kakuko & Tetsuro Kobayashi. (2008). Causal relationship between Internet use and social capital in Japan. Asian Journal Of Social Psychology. 11(1). 42–52. 31 indexed citations

7.

Kobayashi, Tetsuro, Ken’ichi Ikeda, & Kakuko Miyata. (2006). Social capital online: Collective use of the Internet and reciprocity as lubricants of democracy. Information Communication & Society. 9(5). 582–611. 114 indexed citations

8.

Wellman, Barry, Anabel Quan‐Haase, Jeffrey Boase, et al.. (2006). The Social Affordances of the Internet for Networked Individualism. Journal of Computer-Mediated Communication. 8(3). 0–0. 455 indexed citations breakdown →

9.

Miyata, Kakuko. (1995). Social Psychological Effects of Electronic Media. 17. 43–61. 1 indexed citations

10.

Hiroi, Osamu, et al.. (1985). A Study of Mass Media Reporting in Emergencies. International Journal of Mass Emergencies & Disasters. 3(1). 21–49. 21 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.

Explore authors with similar magnitude of impact