N Chater
- Artificial Intelligence top 5%
- Cognitive Neuroscience top 10%
- Developmental and Educational Psychology top 5%
- Experimental and Cognitive Psychology top 10%
- Social Psychology
- Co-authors
- Richard ShillcockSusan HurleyPadraic MonaghanMorten H. ChristiansenMike OaksfordClifford FrithJosh TenenbaumJian-Qiao Zhu
- Topics
- Bayesian Modeling and Causal Inference (2 papers)Forecasting Techniques and Applications (1 paper)Ethics in Business and Education (1 paper)
- Journals
- Cognitive ScienceUCL Discovery (University College London)Lancaster EPrints (Lancaster University)
In The Last Decade
N Chater
7 papers receiving 498 citations
Hit Papers
Peers
Comparison fields: 5 of 86
- Artificial Intelligence 226
- Cognitive Neuroscience 195
- Developmental and Educational Psychology 183
- Experimental and Cognitive Psychology 119
- Social Psychology 68
Countries citing papers authored by N Chater
This map shows the geographic impact of N Chater'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 N Chater with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites N Chater more than expected).
Fields of papers citing papers by N Chater
This network shows the impact of papers produced by N Chater. 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 N Chater. The network helps show where N Chater may publish in the future.
Co-authorship network of co-authors of N Chater
This figure shows the co-authorship network connecting the top 25 collaborators of N Chater. A scholar is included among the top collaborators of N Chater 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 N Chater. N Chater is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | Bayesian Inference Causes Incoherence in Human Probability Judgments. | 1 |
| 2 | The Cognitive Mechanisms of Contractualist Moral Decision-Making. | 2 |
| 3 | Herding in humans (vol 13, pg 420, 2009) | 4 |
| 4 | Perspectives on imitation: From neuroscience to social science. Mechanisms of imitation in animals | 17 |
| 5 | The differential contribution of phonological and distributional cues in grammatical categorisation. | 25 |
| 6 | Modelling probabilistic effects in conditional inference: Validating search or conditional probability? | 2 |
| 7 | SYMBOL GROUNDING - THE EMPERORS NEW THEORY OF MEANING | 0 |
| 8 | Proceedings of the fourteenth annual conference of the cognitive science societybreakdown → | 501 |
About N Chater
N Chater is a scholar working on Information Systems and Management, Social Psychology and Philosophy, having authored 8 papers that have together received 552 indexed citations. Recurring topics across this work include Bayesian Modeling and Causal Inference (2 papers), Forecasting Techniques and Applications (1 paper) and Ethics in Business and Education (1 paper). The work is most often cited by research in Developmental and Educational Psychology (183 citations), General Decision Sciences (19 citations) and Cognitive Neuroscience (195 citations). Frequent co-authors include Richard Shillcock, Susan Hurley, Padraic Monaghan, Morten H. Christiansen, Mike Oaksford, Clifford Frith, Josh Tenenbaum, Jian-Qiao Zhu, Fiery Cushman and Adam N. Sanborn. Their work appears in journals such as Cognitive Science, UCL Discovery (University College London) and Lancaster EPrints (Lancaster University).
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.