David Williams

177 total papers · 1.3k total citations
61 papers, 465 citations indexed

About

David Williams is a scholar working on Literature and Literary Theory, Sociology and Political Science and Political Science and International Relations. According to data from OpenAlex, David Williams has authored 61 papers receiving a total of 465 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Literature and Literary Theory, 9 papers in Sociology and Political Science and 7 papers in Political Science and International Relations. Recurrent topics in David Williams's work include Historical and Literary Studies (5 papers), Historical and Literary Analyses (4 papers) and Second Language Acquisition and Learning (4 papers). David Williams is often cited by papers focused on Historical and Literary Studies (5 papers), Historical and Literary Analyses (4 papers) and Second Language Acquisition and Learning (4 papers). David Williams collaborates with scholars based in New Zealand, United States and United Kingdom. David Williams's co-authors include Joanna P. Williams, Haydn Mason, David Peacock, Paul Trueman, Michael W. Keith, Jan Apelqvist, Robert G. Frykberg, Candice Harris, John Parker and Merata Kawharu and has published in prestigious journals such as Journal of Educational Psychology, Language Learning and Teachers College Record The Voice of Scholarship in Education.

In The Last Decade

David Williams

46 papers receiving 335 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author						Papers	Cites
David Williams	80	59	56	45	44	61	465
Ronald Berman	86 1.1×	12 0.2×	2 0.0×	9 0.2×	30 0.7×	52	502
Johan Huizinga	185 2.3×	5 0.1×	2 0.0×	34 0.8×	90 2.0×	39	519
Simon Locke	185 2.3×	26 0.4×	6 0.1×	39 0.9×	3 0.1×	35	482
Jennifer Richards	42 0.5×	2 0.0×		97 2.2×	46 1.0×	62	453
David N. Myers	354 4.4×	6 0.1×	2 0.0×	85 1.9×	19 0.4×	57	535
Nicholas Royle	126 1.6×	24 0.4×	1 0.0×	11 0.2×	21 0.5×	46	418
David Potter	64 0.8×	2 0.0×	3 0.1×	26 0.6×	61 1.4×	63	411
Anne O’Connor	65 0.8×	9 0.2×	1 0.0×	39 0.9×	17 0.4×	55	433
John Walter	71 0.9×	13 0.2×		5 0.1×	124 2.8×	45	407
Robert Brain	167 2.1×	19 0.3×	1 0.0×	8 0.2×	20 0.5×	33	546

Countries citing papers authored by David Williams

Since Specialization

Citations

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

Fields of papers citing papers by David Williams

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of David Williams

This figure shows the co-authorship network connecting the top 25 collaborators of David Williams. A scholar is included among the top collaborators of David 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 David Williams. David 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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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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