Tetsuya Tanioka

1.5k citations
139 papers · 1000 indexed · h-index 18
Topics
Social Robot Interaction and HRI (20 papers)Botulinum Toxin and Related Neurological Disorders (12 papers)AI in Service Interactions (12 papers)

In The Last Decade

Tetsuya Tanioka

127 papers receiving 960 citations

Peers

Tetsuya Tanioka
Comparison fields: 5 of 115
  • Social Psychology 278
  • Artificial Intelligence 241
  • General Health Professions 154
  • Public Health, Environmental and Occupational Health 122
  • Health Informatics 92
Replace Yuko Yasuhara with:
Yuko Yasuhara Japan
Rozzano C. Locsin Japan
Kyoko Osaka Japan
Jenny Murfield Australia
Christina Koulouglioti United Kingdom
Cynthia F. Corbett United States
Huei‐Chuan Sung Taiwan
Lorraine J. Phillips United States
Lillian Hung Canada
Miyae Yamakawa Japan
Tetsuya Tanioka relative to Yuko Yasuhara Japan Yuko Yasuhara's profile →
Citations per field
00.5×1.5×2.2×
Yuko Yasuhara · 1×
Citations per year

Countries citing papers authored by Tetsuya Tanioka

Since Specialization
Citations

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

Fields of papers citing papers by Tetsuya Tanioka

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Tetsuya Tanioka

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

All Works

20 of 20 papers shown
#WorkIndexed citations
1 0
2 0
3 0
4 1
5 1
6 1
7 3
8 36
9 1
10 8
11 31
12 3
13 1
14 7
15 7
16 3
17 3
18 12
19 46
20 10

About Tetsuya Tanioka

Tetsuya Tanioka is a scholar working on Leadership and Management, Issues, ethics and legal aspects and Research and Theory, having authored 139 papers that have together received 1000 indexed citations. Recurring topics across this work include Social Robot Interaction and HRI (20 papers), Botulinum Toxin and Related Neurological Disorders (12 papers) and AI in Service Interactions (12 papers). The work is most often cited by research in Health Informatics (92 citations), Issues, ethics and legal aspects (31 citations) and Leadership and Management (19 citations). Tetsuya Tanioka has collaborated with scholars based in Japan, United States and Philippines. Frequent co-authors include Rozzano C. Locsin, Yuko Yasuhara, Kyoko Osaka, Hirokazu Ito, Feni Betriana, Yoshihiro KAI, Savina O. Schoenhofer, Masahito Tomotake, Miki Sato and Michael Joseph S. Diño. Their work appears in journals such as SHILAP Revista de lepidopterología, International Journal of Environmental Research and Public Health and Nurse Education Today.

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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