John C. Wakefield
Impact in
- Statistics and Probability top 5%
- Statistical Methods and Bayesian Inference
- Statistical Methods and Inference
- Health top 10%
- Health disparities and outcomes
Papers in
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- Language, Discourse, Communication Strategies 7
- Syntax, Semantics, Linguistic Variation 6
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- Linguistic Variation and Morphology 6
- Multilingual Education and Policy 3
- Co-authors
- David Briggs (1 shared paper)P. Elliot (1 shared paper)Nicola G. Best (1 shared paper)A. M. Skene (2 shared papers)Julia E. Kelsall (1 shared paper)Sara Elizabeth Morris (1 shared paper)Paul Elliott (1 shared paper)Sara E Morris (1 shared paper)
In The Last Decade
John C. Wakefield
24 papers receiving 747 citations
Peers
Comparison fields: 5 of 120
- Statistics and Probability 120
- Health 89
- Transportation 64
- Modeling and Simulation 36
- Epidemiology 212
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 14 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
Showing the 20 most-cited of 27 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2001 | 575 | |
| 2 | 2001 | 58 | |
| 3 | 1990 | 52 | |
| 4 | 2001 | 34 | |
| 5 | 2001 | 19 | |
| 6 | 2001 | 18 | |
| 7 | 2020 | 7 | |
| 8 | 2013 | 6 | |
| 9 | 2017 | 5 | |
| 10 | 1991 | 5 | |
| 11 | 2019 | 4 | |
| 12 | 2011 | 4 | |
| 13 | 2012 | 4 | |
| 14 | Does lexical tone restrict the paralinguistic use of pitch? Comparing melody metrics for English, French, Mandarin and Cantonese. | 2013 | 3 |
| 15 | 2001 | 3 | |
| 16 | Dubbing as a method for language practice and learning | 2014 | 3 |
| 17 | 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 |
| 18 | 2021 | 2 | |
| 19 | 2016 | 2 | |
| 20 | 2018 | 2 |
About John C. Wakefield
John C. Wakefield is a scholar working on Language and Linguistics, Linguistics and Language, Experimental and Cognitive Psychology, Health and Statistics and Probability, having authored 27 papers that have together received 813 indexed citations. Recurring topics across this work include Language, Discourse, Communication Strategies (7 papers), Syntax, Semantics, Linguistic Variation (6 papers), Linguistic Variation and Morphology (6 papers), Phonetics and Phonology Research (5 papers), Data-Driven Disease Surveillance (3 papers), Multilingual Education and Policy (3 papers), Health disparities and outcomes (3 papers) and Natural Language Processing Techniques (2 papers). The work is most often cited by research in Statistics and Probability (120 citations), Health (89 citations), Transportation (64 citations), Modeling and Simulation (36 citations) and Epidemiology (212 citations). John C. Wakefield has collaborated with scholars based in Hong Kong, Czechia and France. Frequent co-authors include David Briggs, P. Elliot, Nicola G. Best, A. M. Skene, Julia E. Kelsall, Sara Elizabeth Morris, Paul Elliott, Sara E Morris, Hiroko Itakura and Daniel J. Hirst. Their work appears in journals such as Journal of the American Statistical Association, Journal of Intercultural Communication Research, Applied Linguistics Review, Lingua and Journal of the Royal Statistical Society Series C (Applied Statistics).
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.