John N. Williams

4.9k total citations
69 papers, 2.8k citations indexed

About

John N. Williams is a scholar working on Developmental and Educational Psychology, Cognitive Neuroscience and Experimental and Cognitive Psychology. According to data from OpenAlex, John N. Williams has authored 69 papers receiving a total of 2.8k indexed citations (citations by other indexed papers that have themselves been cited), including 43 papers in Developmental and Educational Psychology, 35 papers in Cognitive Neuroscience and 19 papers in Experimental and Cognitive Psychology. Recurrent topics in John N. Williams's work include Neurobiology of Language and Bilingualism (33 papers), Reading and Literacy Development (23 papers) and Second Language Acquisition and Learning (16 papers). John N. Williams is often cited by papers focused on Neurobiology of Language and Bilingualism (33 papers), Reading and Literacy Development (23 papers) and Second Language Acquisition and Learning (16 papers). John N. Williams collaborates with scholars based in United Kingdom, United States and Hong Kong. John N. Williams's co-authors include Patrick Rebuschat, Kirsten Malmkjær, Richard Breheny, Napoleon Katsos, Gillian Brown, Janny H.C. Leung, Peter Lovatt, Sarah Grey, Nikola Vukovic and Anne Cutler and has published in prestigious journals such as Cognition, Neuropsychologia and Journal of Experimental Psychology Learning Memory and Cognition.

In The Last Decade

John N. Williams

64 papers receiving 2.5k citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name	h						Papers	Cites
John N. Williams United Kingdom	30	1.6k	1.3k	1.2k	672	371	69	2.8k
Anna Papafragou United States	29	1.6k 1.0×	1.4k 1.1×	780 0.6×	1.9k 2.8×	366 1.0×	116	3.7k
Clifton Pye United States	14	2.3k 1.4×	929 0.7×	642 0.5×	629 0.9×	596 1.6×	46	3.1k
Martin Corley United Kingdom	27	1.2k 0.8×	617 0.5×	1.6k 1.3×	911 1.4×	594 1.6×	72	2.6k
Federico Rossano United States	21	715 0.4×	1.1k 0.9×	397 0.3×	837 1.2×	242 0.7×	61	2.3k
Jesse Snedeker United States	32	2.1k 1.3×	865 0.7×	1.8k 1.4×	946 1.4×	515 1.4×	109	3.2k
Melissa Bowerman Netherlands	30	2.3k 1.4×	1.4k 1.1×	562 0.5×	1.9k 2.8×	472 1.3×	65	4.1k
Jacqueline S. Johnson United States	9	1.3k 0.8×	786 0.6×	676 0.5×	493 0.7×	240 0.6×	13	2.1k
William C. Stokoe United States	18	3.5k 2.2×	1.7k 1.4×	750 0.6×	1.4k 2.1×	268 0.7×	59	4.4k
Evan Kidd Australia	29	2.3k 1.4×	573 0.5×	1.6k 1.3×	515 0.8×	272 0.7×	121	3.1k
Victoria A. Fromkin United States	19	1.3k 0.8×	1.2k 1.0×	1.2k 1.0×	1.4k 2.1×	633 1.7×	45	3.5k

Countries citing papers authored by John N. Williams

Since Specialization

Citations

This map shows the geographic impact of John N. Williams'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 N. Williams with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites John N. Williams more than expected).

Fields of papers citing papers by John N. Williams

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by John N. Williams. 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 N. Williams. The network helps show where John N. Williams may publish in the future.

Co-authorship network of co-authors of John N. Williams

This figure shows the co-authorship network connecting the top 25 collaborators of John N. Williams. A scholar is included among the top collaborators of John N. Williams 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 John N. Williams. John N. Williams is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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20 of 20 papers shown

Williams, John N., et al.. (2025). Modulating motion event categorization through brief training: Meaning-focused versus form-focused instructional conditions. Studies in Second Language Acquisition. 47(1). 53–79.

Williams, John N., et al.. (2024). Inducing Shifts in Attentional and Preattentive Visual Processing Through Brief Training on Novel Grammatical Morphemes: An Event‐Related Potential Study. Language Learning. 74(S1). 185–223. 3 indexed citations

Williams, John N., Lenya Quinn‐Davidson, Hugh D. Safford, et al.. (2023). Overcoming obstacles to prescribed fire in the North American Mediterranean climate zone. Frontiers in Ecology and the Environment. 22(1). 6 indexed citations

Wang, Shuwen, et al.. (2023). Antifouling Coatings Fabricated by Laser Cladding. Coatings. 13(2). 397–397. 24 indexed citations

Williams, John N., et al.. (2015). Semantic generalization in implicit language learning.. Journal of Experimental Psychology Learning Memory and Cognition. 41(4). 989–1002. 16 indexed citations

Vukovic, Nikola & John N. Williams. (2015). Individual differences in spatial cognition influence mental simulation of language. Cognition. 142. 110–122. 13 indexed citations

Leung, Janny H.C. & John N. Williams. (2013). Prior Linguistic Knowledge Influences Implicit Language Learning. Cognitive Science. 35(35). 248–271. 4 indexed citations

Williams, John N., et al.. (2013). Semantic Implicit Learning in Language. Cognitive Science. 35(35).

Leung, Janny H.C. & John N. Williams. (2012). Constraints on Implicit Learning of Grammatical Form-Meaning Connections. SSRN Electronic Journal.

10.

Post, Brechtje, et al.. (2011). Implicit Learning of Lexical Stress Patterns.. ICPhS. 2260–2263. 3 indexed citations

11.

Rebuschat, Patrick & John N. Williams. (2011). Statistical Learning and Language Acquisition. 120 indexed citations

12.

Rebuschat, Patrick & John N. Williams. (2009). Implicit learning of word order. eScholarship (California Digital Library). 31(31). 18 indexed citations

13.

Williams, John N.. (2008). Inducing abstract linguistic representations: human and connectionist learning of noun classes. 2 indexed citations

14.

Rebuschat, Patrick & John N. Williams. (2006). Dissociating Implicit and Explicit Learning of Syntactic Rules. eScholarship (California Digital Library). 28(28). 4 indexed citations

15.

Leung, Janny H.C. & John N. Williams. (2006). Implicit Learning of Form-Meaning Connections. eScholarship (California Digital Library). 28(28). 42 indexed citations

16.

Breheny, Richard, Napoleon Katsos, & John N. Williams. (2005). Interaction of Structural and Contextual Constraints During the On-line Generation of Scalar Inferences. eScholarship (California Digital Library). 27(27). 14 indexed citations

17.

Breheny, Richard, Napoleon Katsos, & John N. Williams. (2005). Are generalised scalar implicatures generated by default? An on-line investigation into the role of context in generating pragmatic inferences. Cognition. 100(3). 434–463. 218 indexed citations

18.

Malmkjær, Kirsten & John N. Williams. (1998). Context in language learning and language understanding. Cambridge University Press eBooks. 47 indexed citations

19.

Williams, John N. & Lucia Colombo. (1995). Constraints on the range of context-independent priming from ambiguous words. Psychological Research. 58(1). 38–50. 7 indexed citations

20.

Colombo, Lucia & John N. Williams. (1990). Effects of word- and sentence-level contexts upon word recognition. Memory & Cognition. 18(2). 153–163. 15 indexed citations

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.

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