Keiko Murasugi
- Language and Linguistics top 2%
- Artificial Intelligence top 10%
- Developmental and Educational Psychology top 10%
- Experimental and Cognitive Psychology
- Linguistics and Language top 10%
- Topics
- Syntax, Semantics, Linguistic Variation (9 papers)Language Development and Disorders (8 papers)Natural Language Processing Techniques (6 papers)
- Partner nations
- JapanUnited StatesTaiwan
In The Last Decade
Keiko Murasugi
12 papers receiving 161 citations
Peers
Comparison fields: 5 of 24
- Language and Linguistics 193
- Artificial Intelligence 115
- Developmental and Educational Psychology 67
- Experimental and Cognitive Psychology 52
- Linguistics and Language 44
Countries citing papers authored by Keiko Murasugi
This map shows the geographic impact of Keiko Murasugi'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 Keiko Murasugi with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Keiko Murasugi more than expected).
Fields of papers citing papers by Keiko Murasugi
This network shows the impact of papers produced by Keiko Murasugi. 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 Keiko Murasugi. The network helps show where Keiko Murasugi may publish in the future.
Co-authorship network of co-authors of Keiko Murasugi
This figure shows the co-authorship network connecting the top 25 collaborators of Keiko Murasugi. A scholar is included among the top collaborators of Keiko Murasugi 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 Keiko Murasugi. Keiko Murasugi is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | Language Acquisition and Generative Grammar | 1 |
| 3 | WHAT'S ACQUIRED LATER IN AN AGGLUTINATIVE LANGUAGE * | 2 |
| 4 | Case Errors in Child Japanese and theImplication for the Syntactic Theory | 1 |
| 5 | 48 | |
| 6 | 66 | |
| 7 | 8 | |
| 8 | A VP-SHELL ANALYSIS FOR THE UNDERGENERATION AND THE OVERGENERATION IN THE ACQUISITION OF JAPANESE CAUSATIVES AND POTENTIALS ∗ | 1 |
| 9 | EXPERIMENTAL EVIDENCE FOR THE PARAMETER RESETTING HYPOTHESIS: THE SECOND LANGUAGE ACQUISITION OF ENGLISH REFLEXIVE-BINDING BY JAPANESE SPEAKERS * | 2 |
| 10 | 2 | |
| 11 | VP-SHELL ANALYSIS FOR THE ACQUISITION OF JAPANESE POTENTIALS ∗ | 1 |
| 12 | 6 | |
| 13 | Two Different Types of Overgeneration of ‘no’ in Japanese Noun Phrases | 1 |
| 14 | 1 | |
| 15 | 96 |
About Keiko Murasugi
Keiko Murasugi is a scholar working on Language and Linguistics, Developmental and Educational Psychology and Experimental and Cognitive Psychology, having authored 15 papers that have together received 237 indexed citations. Recurring topics across this work include Syntax, Semantics, Linguistic Variation (9 papers), Language Development and Disorders (8 papers) and Natural Language Processing Techniques (6 papers). The work is most often cited by research in Language and Linguistics (193 citations), Linguistics and Language (44 citations) and Developmental and Educational Psychology (67 citations). Keiko Murasugi has collaborated with scholars based in Japan, United States and Taiwan. Frequent co-authors include M. Saitō, Tsun‐Kuo Lin, Stephen Crain, Rosalind Thornton, Eriko Watanabe and Sonja Eisenbeiß. Their work appears in journals such as Linguistics, Language Acquisition and The Linguistic Review.
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.