Kimi Akita
- Experimental and Cognitive Psychology top 10%
- Language and Linguistics top 10%
- Developmental and Educational Psychology
- Cognitive Neuroscience
- Social Psychology
- Co-authors
- Mark DingemanseSotaro KitaMutsumi ImaiKaterina KantartzisNoburo SajiJan AuracherNahyun KwonHideyuki Hoshi
- Topics
- Language, Metaphor, and Cognition (15 papers)Multisensory perception and integration (14 papers)Categorization, perception, and language (10 papers)
- Partner nations
- JapanUnited KingdomHong Kong
In The Last Decade
Kimi Akita
18 papers receiving 172 citations
Peers
Comparison fields: 5 of 29
- Experimental and Cognitive Psychology 157
- Language and Linguistics 40
- Developmental and Educational Psychology 30
- Cognitive Neuroscience 19
- Social Psychology 18
Countries citing papers authored by Kimi Akita
This map shows the geographic impact of Kimi Akita'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 Kimi Akita with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Kimi Akita more than expected).
Fields of papers citing papers by Kimi Akita
This network shows the impact of papers produced by Kimi Akita. 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 Kimi Akita. The network helps show where Kimi Akita may publish in the future.
Co-authorship network of co-authors of Kimi Akita
This figure shows the co-authorship network connecting the top 25 collaborators of Kimi Akita. A scholar is included among the top collaborators of Kimi Akita 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 Kimi Akita. Kimi Akita is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 3 | |
| 2 | 3 | |
| 3 | 0 | |
| 4 | 0 | |
| 5 | 5 | |
| 6 | 4 | |
| 7 | 9 | |
| 8 | 16 | |
| 9 | 23 | |
| 10 | 0 | |
| 11 | 2 | |
| 12 | 2 | |
| 13 | 6 | |
| 14 | Cross-Linguistically Shared and Language-Specific Sound Symbolism for Motion: An Exploratory Data Mining Approach | 15 |
| 15 | 11 | |
| 16 | The Internal Structures of Sound-Symbolic Systems: the Universal and Language-Specific Portions of Sound Symbolism. | 1 |
| 17 | 11 | |
| 18 | 7 | |
| 19 | 6 | |
| 20 | 5 |
About Kimi Akita
Kimi Akita is a scholar working on Experimental and Cognitive Psychology, Language and Linguistics and Developmental Biology, having authored 22 papers that have together received 186 indexed citations. Recurring topics across this work include Language, Metaphor, and Cognition (15 papers), Multisensory perception and integration (14 papers) and Categorization, perception, and language (10 papers). The work is most often cited by research in Experimental and Cognitive Psychology (157 citations), Developmental Biology (11 citations) and Language and Linguistics (40 citations). Kimi Akita has collaborated with scholars based in Japan, United Kingdom and Hong Kong. Frequent co-authors include Mark Dingemanse, Sotaro Kita, Mutsumi Imai, Katerina Kantartzis, Noburo Saji, Jan Auracher, Nahyun Kwon, Hideyuki Hoshi, Yoko Hasegawa and A. K. H. Kong. Their work appears in journals such as PLoS ONE, The Journal of the Acoustical Society of America and Cognitive Science.
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.