Akiko Arai

615 total citations
13 papers, 428 citations indexed

About

Akiko Arai is a scholar working on Gender Studies, Sociology and Political Science and Marketing. According to data from OpenAlex, Akiko Arai has authored 13 papers receiving a total of 428 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Gender Studies, 9 papers in Sociology and Political Science and 6 papers in Marketing. Recurrent topics in Akiko Arai's work include Sports, Gender, and Society (10 papers), Sport and Mega-Event Impacts (6 papers) and Consumer Behavior in Brand Consumption and Identification (6 papers). Akiko Arai is often cited by papers focused on Sports, Gender, and Society (10 papers), Sport and Mega-Event Impacts (6 papers) and Consumer Behavior in Brand Consumption and Identification (6 papers). Akiko Arai collaborates with scholars based in United States, Japan and South Korea. Akiko Arai's co-authors include Yong Jae Ko, Stephen Ross, Kyriaki Kaplanidou, Thilo Kunkel, Kwame J.A. Agyemang, Rui Biscaia, Taehee Kim, Shintaro Sato, Yosuke Tsuji and Asli D.A. Tasci and has published in prestigious journals such as BMC Medical Education, Journal of Sport Management and Sport Management Review.

In The Last Decade

Akiko Arai

12 papers receiving 407 citations

Peers

Akiko Arai
Comparison fields: 5 of 47
  • Sociology and Political Science 328
  • Gender Studies 284
  • Marketing 213
  • Economics and Econometrics 75
  • Organizational Behavior and Human Resource Management 30
Replace Nicolas Chanavat with:
Nicolas Chanavat France
Antonio S. Williams United States
Gi-Yong Koo United States
Windy Dees United States
Kwame J.A. Agyemang United States
Choong Hoon Lim United States
Heidi M. Parker United States
Jerome Quarterman United States
Joon‐Ho Kang South Korea
Yosuke Tsuji Japan
Nicolas Chanavat France View profile →
Citations per field, relative to Akiko Arai
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Citations per year, relative to Akiko Arai
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Countries citing papers authored by Akiko Arai

Since Specialization
Citations

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

Fields of papers citing papers by Akiko Arai

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Akiko Arai

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

All Works

13 of 13 papers shown
# Work Indexed citations
1 1
2 1
3 2
4 12
5 45
6 2
7 0
8 1
9 14
10 145
11 9
12 193
13 3

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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