Kim Williams

29 papers and 576 indexed citations i.

About

Kim Williams is a scholar working on Sociology and Political Science, Organizational Behavior and Human Resource Management and Marketing. According to data from OpenAlex, Kim Williams has authored 29 papers receiving a total of 576 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Sociology and Political Science, 8 papers in Organizational Behavior and Human Resource Management and 8 papers in Marketing. Recurrent topics in Kim Williams’s work include Consumer Behavior in Brand Consumption and Identification (7 papers), Customer Service Quality and Loyalty (5 papers) and Digital Marketing and Social Media (4 papers). Kim Williams is often cited by papers focused on Consumer Behavior in Brand Consumption and Identification (7 papers), Customer Service Quality and Loyalty (5 papers) and Digital Marketing and Social Media (4 papers). Kim Williams collaborates with scholars based in United States, Canada and Australia. Kim Williams's co-authors include Elyria Kemp, Carla Childers, Pamela A. Kennett‐Hensel, Ann O’Leary, Dale Stratford, Cari Courtenay–Quirk, Yuko Mizuno, Harsha E. Chacko, Huiying Zhang and Sun Jie and has published in prestigious journals such as International Journal of Hospitality Management, BMC Health Services Research and Psychology and Marketing.

In The Last Decade

Co-authorship network of co-authors of Kim Williams i

Fields of papers citing papers by Kim Williams

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Kim Williams

Since Specialization
Citations

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

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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