Geoffrey Williams

105 total papers · 1.3k total citations
49 papers, 651 citations indexed

About

Geoffrey Williams is a scholar working on Language and Linguistics, Artificial Intelligence and Sociology and Political Science. According to data from OpenAlex, Geoffrey Williams has authored 49 papers receiving a total of 651 indexed citations (citations by other indexed papers that have themselves been cited), including 30 papers in Language and Linguistics, 16 papers in Artificial Intelligence and 5 papers in Sociology and Political Science. Recurrent topics in Geoffrey Williams's work include Lexicography and Language Studies (19 papers), Natural Language Processing Techniques (16 papers) and linguistics and terminology studies (10 papers). Geoffrey Williams is often cited by papers focused on Lexicography and Language Studies (19 papers), Natural Language Processing Techniques (16 papers) and linguistics and terminology studies (10 papers). Geoffrey Williams collaborates with scholars based in France, United Kingdom and Spain. Geoffrey Williams's co-authors include John Zinkin, Ruqaiya Hasan, Martin Jones, Robert Hoffmann, Swee‐Hoon Chuah, Annabelle Lukin, Michael Ochsner, Béatrice Daille, Jack Spaapen and Angela C. Santee and has published in prestigious journals such as Journal of Business Ethics, Journal of Economic Behavior & Organization and Journal of Economic Psychology.

In The Last Decade

Geoffrey Williams

44 papers receiving 576 citations

Author Peers

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

Author						Papers	Cites
Geoffrey Williams	191	182	143	124	103	49	651
David Lee	168 0.9×	170 0.9×	20 0.1×	147 1.2×	72 0.7×	38	769
Priscilla S. Rogers	92 0.5×	112 0.6×	63 0.4×	175 1.4×	18 0.2×	56	700
Cynthia Lee	166 0.9×	57 0.3×	22 0.2×	36 0.3×	26 0.3×	17	672
Jesús Rey-Rocha	156 0.8×	84 0.5×	12 0.1×	180 1.5×	25 0.2×	50	763
Valerie Priscilla Goby	285 1.5×	31 0.2×	88 0.6×	34 0.3×	62 0.6×	48	654
Eric M. Anicich	391 2.0×	45 0.2×	13 0.1×	22 0.2×	29 0.3×	24	775
Helene Tenzer	149 0.8×	113 0.6×	58 0.4×	75 0.6×	10 0.1×	29	786
Robert Slater	180 0.9×	69 0.4×	9 0.1×	100 0.8×	10 0.1×	54	722
Kevin L. Blankenship	329 1.7×	62 0.3×	18 0.1×	99 0.8×	45 0.4×	27	742
Elizabeth R. Tenney	266 1.4×	25 0.1×	36 0.3×	10 0.1×	43 0.4×	30	768

Countries citing papers authored by Geoffrey Williams

Since Specialization

Citations

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

Fields of papers citing papers by Geoffrey Williams

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Geoffrey Williams

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