Christine Cuskley
- Experimental and Cognitive Psychology top 5%
- Cultural Studies top 1%
- Social Psychology top 10%
- Cognitive Neuroscience
- Artificial Intelligence
- Co-authors
- Simon KirbyJulia SimnerVittorio LoretoFrancesca TriaClaudio CastellanoFrancesca ColaioriSeán G. RobertsTessa Verhoef
- Topics
- Language and cultural evolution (14 papers)Speech and dialogue systems (5 papers)Natural Language Processing Techniques (5 papers)
- Partner nations
- United KingdomItalyNetherlands
In The Last Decade
Christine Cuskley
25 papers receiving 457 citations
Peers
Comparison fields: 5 of 60
- Experimental and Cognitive Psychology 301
- Cultural Studies 116
- Social Psychology 99
- Cognitive Neuroscience 78
- Artificial Intelligence 66
Countries citing papers authored by Christine Cuskley
This map shows the geographic impact of Christine Cuskley'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 Christine Cuskley with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Christine Cuskley more than expected).
Fields of papers citing papers by Christine Cuskley
This network shows the impact of papers produced by Christine Cuskley. 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 Christine Cuskley. The network helps show where Christine Cuskley may publish in the future.
Co-authorship network of co-authors of Christine Cuskley
This figure shows the co-authorship network connecting the top 25 collaborators of Christine Cuskley. A scholar is included among the top collaborators of Christine Cuskley 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 Christine Cuskley. Christine Cuskley is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 7 | |
| 2 | 10 | |
| 3 | 15 | |
| 4 | 2 | |
| 5 | 1 | |
| 6 | Learner dynamics in a model of wug inflection: integrating frequency and phonology. | 1 |
| 7 | 26 | |
| 8 | 1 | |
| 9 | 4 | |
| 10 | 6 | |
| 11 | 5 | |
| 12 | The emergence of rules and exceptions in a population of interacting agents | 2 |
| 13 | The SAGE Encyclopedia of Theory in Psychology | 4 |
| 14 | 15 | |
| 15 | 72 | |
| 16 | 29 | |
| 17 | 0 | |
| 18 | 36 | |
| 19 | 5 | |
| 20 | 117 |
About Christine Cuskley
Christine Cuskley is a scholar working on Cultural Studies, Linguistics and Language and Language and Linguistics, having authored 27 papers that have together received 477 indexed citations. Recurring topics across this work include Language and cultural evolution (14 papers), Speech and dialogue systems (5 papers) and Natural Language Processing Techniques (5 papers). The work is most often cited by research in Experimental and Cognitive Psychology (301 citations), Cultural Studies (116 citations) and Sensory Systems (60 citations). Christine Cuskley has collaborated with scholars based in United Kingdom, Italy and Netherlands. Frequent co-authors include Simon Kirby, Julia Simner, Vittorio Loreto, Francesca Tria, Claudio Castellano, Francesca Colaiori, Seán G. Roberts, Tessa Verhoef, Olga Fehér and Mark Dingemanse. Their work appears in journals such as PLoS ONE, Cognition and Journal of Memory and Language.
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.