Michie Kawashima
- Human-Computer Interaction top 10%
- Social Psychology top 10%
- Social Robot Interaction and HRI 5
- Language and Linguistics top 10%
- Language, Discourse, Communication Strategies 7
- Artificial Intelligence top 10%
- Speech and dialogue systems 3
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- Patient-Provider Communication in Healthcare 4
- Interpreting and Communication in Healthcare 3
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- Multimodal Machine Learning Applications 3
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- Counseling, Therapy, and Family Dynamics 2
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- Robotics and Automated Systems 2
- Co-authors
- Keiichi YamazakiYoshinori KunoAkiko YamazakiHideaki KuzuokaMatthew BurdelskiIris Cohen FinebergSteven M. AschTetsuya Abe
- Journals
- Social Science & Medicine (2 papers)Journal of Palliative Medicine (1 paper)Research on Language and Social Interaction (1 paper)
- Partner nations
- JapanUnited KingdomUnited States
In The Last Decade
Michie Kawashima
14 papers receiving 272 citations
Peers
Comparison fields: 5 of 56
- Human-Computer Interaction 50
- Social Psychology 169
- Radiological and Ultrasound Technology 21
- Language and Linguistics 31
- Artificial Intelligence 93
Countries citing papers authored by Michie Kawashima
This map shows the geographic impact of Michie Kawashima'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 Michie Kawashima with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Michie Kawashima more than expected).
Fields of papers citing papers by Michie Kawashima
This network shows the impact of papers produced by Michie Kawashima. 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 Michie Kawashima. The network helps show where Michie Kawashima may publish in the future.
Co-authorship network
The 16 scholars most cited alongside Michie Kawashima, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2022 | 4 | |
| 2 | 2021 | 5 | |
| 3 | 2020 | 5 | |
| 4 | 2019 | 5 | |
| 5 | 2018 | 1 | |
| 6 | 2017 | 8 | |
| 7 | 2015 | 1 | |
| 8 | 2014 | 8 | |
| 9 | 2013 | 1 | |
| 10 | 2012 | 0 | |
| 11 | 2011 | 42 | |
| 12 | 2010 | 2 | |
| 13 | 2008 | 101 | |
| 14 | Developing Helper Robot for Senior Care through Sociological Analysis of Human Interaction | 2007 | 1 |
| 15 | 2007 | 96 | |
| 16 | 2007 | 4 | |
| 17 | 2007 | 6 |
About Michie Kawashima
Michie Kawashima is a scholar working on Language and Linguistics, Museology and General Health Professions, having authored 17 papers that have together received 290 indexed citations. Recurring topics across this work include Language, Discourse, Communication Strategies (7 papers), Social Robot Interaction and HRI (5 papers), Patient-Provider Communication in Healthcare (4 papers), Speech and dialogue systems (3 papers), Interpreting and Communication in Healthcare (3 papers), Multimodal Machine Learning Applications (3 papers), Counseling, Therapy, and Family Dynamics (2 papers) and Robotics and Automated Systems (2 papers). The work is most often cited by research in Human-Computer Interaction (50 citations), Social Psychology (169 citations) and Radiological and Ultrasound Technology (21 citations). Michie Kawashima has collaborated with scholars based in Japan, United Kingdom and United States. Frequent co-authors include Keiichi Yamazaki, Yoshinori Kuno, Akiko Yamazaki, Hideaki Kuzuoka, Matthew Burdelski, Iris Cohen Fineberg, Steven M. Asch, Tetsuya Abe, Akira Takada and Munekazu Takeda. Their work appears in journals such as Social Science & Medicine, Journal of Palliative Medicine and Research on Language and Social Interaction.
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.