John C. Wakefield
Impact in
- Statistics and Probability top 5%
- Statistical Methods and Bayesian Inference
- Statistical Methods in Clinical Trials
- Statistical Methods and Inference
Papers in
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- Language, Discourse, Communication Strategies 4
- Syntax, Semantics, Linguistic Variation 3
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- Linguistic Variation and Morphology 4
- Multilingual Education and Policy 3
- Co-authors
- A. M. Skene (2 shared papers)Sara Morris (1 shared paper)A. F. M. Smith (1 shared paper)I.W. Evett (1 shared paper)
- Journals
- Journal of the Royal Statistical Society Series C (Applied Statistics) (1 paper)Statistics in Medicine (1 paper)Journal of Intercultural Communication Research (1 paper)Applied Linguistics Review (1 paper)Journal of the American Statistical Association (1 paper)
- Partner nations
- Hong KongCzechiaUnited Kingdom
In The Last Decade
John C. Wakefield
13 papers receiving 109 citations
Peers
Comparison fields: 5 of 47
- Statistics and Probability 50
- Linguistics and Language 14
- Language and Linguistics 20
- Statistics, Probability and Uncertainty 13
- Modeling and Simulation 5
Countries citing papers authored by John C. Wakefield
This map shows the geographic impact of John C. Wakefield'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 John C. Wakefield with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites John C. Wakefield more than expected).
Fields of papers citing papers by John C. Wakefield
This network shows the impact of papers produced by John C. Wakefield. 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 John C. Wakefield. The network helps show where John C. Wakefield may publish in the future.
Co-authors
The 4 scholars most cited alongside John C. Wakefield, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 1990 | 51 | |
| 2 | 2001 | 30 | |
| 3 | 2020 | 6 | |
| 4 | 1991 | 5 | |
| 5 | Cantonese as a second language: Issues, experiences and suggestions for teaching and learning | 2019 | 5 |
| 6 | 2011 | 4 | |
| 7 | 2012 | 3 | |
| 8 | 2016 | 3 | |
| 9 | The forms and meanings of English rising declaratives: Insights from Cantonese = 从粤语见解英语升调陈述句的形式和意义 | 2014 | 2 |
| 10 | 2021 | 2 | |
| 11 | Dubbing as a method for language practice and learning | 2014 | 2 |
| 12 | 2013 | 2 | |
| 13 | 2020 | 1 | |
| 14 | 2024 | 1 |
About John C. Wakefield
John C. Wakefield is a scholar working on Language and Linguistics, Linguistics and Language, Artificial Intelligence, Literature and Literary Theory and Experimental and Cognitive Psychology, having authored 14 papers that have together received 117 indexed citations. Recurring topics across this work include Linguistic Variation and Morphology (4 papers), Language, Discourse, Communication Strategies (4 papers), Multilingual Education and Policy (3 papers), Syntax, Semantics, Linguistic Variation (3 papers), Phonetics and Phonology Research (2 papers), Discourse Analysis in Language Studies (1 paper), Linguistic Studies and Language Acquisition (1 paper) and Second Language Acquisition and Learning (1 paper). The work is most often cited by research in Statistics and Probability (50 citations), Linguistics and Language (14 citations), Language and Linguistics (20 citations), Statistics, Probability and Uncertainty (13 citations) and Modeling and Simulation (5 citations). John C. Wakefield has collaborated with scholars based in Hong Kong, Czechia and United Kingdom. Frequent co-authors include A. M. Skene, Sara Morris, A. F. M. Smith and I.W. Evett. Their work appears in journals such as Journal of the Royal Statistical Society Series C (Applied Statistics), Statistics in Medicine, Journal of Intercultural Communication Research, Applied Linguistics Review and Journal of the American Statistical Association.
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.