Antonio S. Williams

74 total papers · 586 total citations
46 papers, 393 citations indexed

About

Antonio S. Williams is a scholar working on Sociology and Political Science, Gender Studies and Marketing. According to data from OpenAlex, Antonio S. Williams has authored 46 papers receiving a total of 393 indexed citations (citations by other indexed papers that have themselves been cited), including 26 papers in Sociology and Political Science, 25 papers in Gender Studies and 24 papers in Marketing. Recurrent topics in Antonio S. Williams's work include Sports, Gender, and Society (24 papers), Consumer Behavior in Brand Consumption and Identification (23 papers) and Sport and Mega-Event Impacts (17 papers). Antonio S. Williams is often cited by papers focused on Sports, Gender, and Society (24 papers), Consumer Behavior in Brand Consumption and Identification (23 papers) and Sport and Mega-Event Impacts (17 papers). Antonio S. Williams collaborates with scholars based in United States, Poland and South Korea. Antonio S. Williams's co-authors include Patrick Walsh, Kevin K. Byon, Kwame J.A. Agyemang, Paul M. Pedersen, Kyungyeol Kim, Woo-Yeul Baek, Elsa Kristiansen, Haiyan Huang, Jingxian Zhang and Galen Clavio and has published in prestigious journals such as SHILAP Revista de lepidopterología, International Journal of Hospitality Management and Journal of Sport Management.

In The Last Decade

Antonio S. Williams

42 papers receiving 386 citations

Author Peers

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

Author						Papers	Cites
Antonio S. Williams	297	199	170	52	41	46	393
Nicolas Chanavat	268 0.9×	188 0.9×	199 1.2×	35 0.7×	66 1.6×	26	350
Joon‐Ho Kang	200 0.7×	184 0.9×	119 0.7×	86 1.7×	54 1.3×	38	369
Jerome Quarterman	220 0.7×	140 0.7×	195 1.1×	29 0.6×	72 1.8×	22	391
Rick Burton	213 0.7×	138 0.7×	140 0.8×	28 0.5×	43 1.0×	47	362
Po‐Lin Pan	204 0.7×	100 0.5×	77 0.5×	22 0.4×	31 0.8×	39	356
B. David Tyler	257 0.9×	103 0.5×	201 1.2×	23 0.4×	108 2.6×	27	373
Kyungyeol Kim	214 0.7×	198 1.0×	56 0.3×	125 2.4×	19 0.5×	23	342
Cody T. Havard	328 1.1×	87 0.4×	303 1.8×	29 0.6×	121 3.0×	41	421
Choong Hoon Lim	314 1.1×	98 0.5×	234 1.4×	22 0.4×	76 1.9×	26	438
Rebecca M. Achen	155 0.5×	52 0.3×	82 0.5×	62 1.2×	34 0.8×	34	431

Countries citing papers authored by Antonio S. Williams

Since Specialization

Citations

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

Fields of papers citing papers by Antonio S. Williams

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Antonio S. Williams

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