Kazunaga Matsuki
- Cognitive Neuroscience top 10%
- Developmental and Educational Psychology top 5%
- Experimental and Cognitive Psychology top 10%
- Artificial Intelligence top 10%
- Language and Linguistics top 5%
- Co-authors
- Ken McRaeVictor KupermanJulie A. Van DykeJeffrey L. ElmanMary HareChristoph ScheepersDaniel SchmidtkeJohn Paul Minda
- Topics
- Neurobiology of Language and Bilingualism (10 papers)Reading and Literacy Development (7 papers)Language, Metaphor, and Cognition (3 papers)
- Cited by
- Developmental and Educational PsychologyCognitive NeuroscienceExperimental and Cognitive Psychology
- Journals
- Journal of Experimental Psychology Learning Memory and CognitionFrontiers in PsychologyScientific Studies of Reading
- Partner nations
- CanadaUnited StatesUnited Kingdom
In The Last Decade
Kazunaga Matsuki
11 papers receiving 406 citations
Peers
Comparison fields: 5 of 101
- Cognitive Neuroscience 237
- Developmental and Educational Psychology 206
- Experimental and Cognitive Psychology 123
- Artificial Intelligence 120
- Language and Linguistics 60
Countries citing papers authored by Kazunaga Matsuki
This map shows the geographic impact of Kazunaga Matsuki'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 Kazunaga Matsuki with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Kazunaga Matsuki more than expected).
Fields of papers citing papers by Kazunaga Matsuki
This network shows the impact of papers produced by Kazunaga Matsuki. 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 Kazunaga Matsuki. The network helps show where Kazunaga Matsuki may publish in the future.
Co-authorship network of co-authors of Kazunaga Matsuki
This figure shows the co-authorship network connecting the top 25 collaborators of Kazunaga Matsuki. A scholar is included among the top collaborators of Kazunaga Matsuki 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 Kazunaga Matsuki. Kazunaga Matsuki is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 28 | |
| 2 | 42 | |
| 3 | 4 | |
| 4 | 118 | |
| 5 | 11 | |
| 6 | 14 | |
| 7 | 17 | |
| 8 | The Roles of Thematic Knowledge in Sentence Comprehension | 2 |
| 9 | 13 | |
| 10 | 105 | |
| 11 | 84 |
About Kazunaga Matsuki
Kazunaga Matsuki is a scholar working on Developmental and Educational Psychology, Cognitive Neuroscience and Experimental and Cognitive Psychology, having authored 11 papers that have together received 438 indexed citations. Recurring topics across this work include Neurobiology of Language and Bilingualism (10 papers), Reading and Literacy Development (7 papers) and Language, Metaphor, and Cognition (3 papers). The work is most often cited by research in Developmental and Educational Psychology (206 citations), Cognitive Neuroscience (237 citations) and Experimental and Cognitive Psychology (123 citations). Kazunaga Matsuki has collaborated with scholars based in Canada, United States and United Kingdom. Frequent co-authors include Ken McRae, Victor Kuperman, Julie A. Van Dyke, Jeffrey L. Elman, Mary Hare, Christoph Scheepers, Daniel Schmidtke, John Paul Minda, Sarah Miles and Heather Sheridan. Their work appears in journals such as Journal of Experimental Psychology Learning Memory and Cognition, Frontiers in Psychology and Scientific Studies of Reading.
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.