Kim Williams

988 citations
38 papers · 713 indexed · h-index 14
Topics
Consumer Behavior in Brand Consumption and Identification (8 papers)Customer Service Quality and Loyalty (6 papers)Digital Marketing and Social Media (4 papers)

In The Last Decade

Kim Williams

37 papers receiving 666 citations

Peers

Kim Williams
Comparison fields: 5 of 115
  • Sociology and Political Science 324
  • Marketing 196
  • Organizational Behavior and Human Resource Management 114
  • General Health Professions 96
  • Infectious Diseases 77
Replace Jeff French with:
Jeff French United Kingdom
Hulda G. Black United States
Elisabeth Deutskens Netherlands
My Bui United States
Yifan Zuo China
George Terhanian Slovakia
Valerie M. Sue United States
Lan Li United States
Kyung-Hee Kim South Korea
Richard K. Thomas United States
Kim Williams relative to Jeff French United Kingdom Jeff French's profile →
Citations per field
00.5×1.5×
Jeff French · 1×
Citations per year

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).

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.

Co-authorship network of co-authors of Kim Williams

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

All Works

20 of 20 papers shown
#WorkIndexed citations
1 0
2 1
3 1
4 1
5 9
6 1
7 6
8 1
9 2
10
Human Machine Learning Symbiosis.
6
11 10
12 15
13 25
14
Fashion: The synergy between millinery and horse racing events
1
15 174
16 15
17 8
18 8
19 9
20 40

About Kim Williams

Kim Williams is a scholar working on Marketing, Organizational Behavior and Human Resource Management and Tourism, Leisure and Hospitality Management, having authored 38 papers that have together received 713 indexed citations. Recurring topics across this work include Consumer Behavior in Brand Consumption and Identification (8 papers), Customer Service Quality and Loyalty (6 papers) and Digital Marketing and Social Media (4 papers). The work is most often cited by research in Marketing (196 citations), Tourism, Leisure and Hospitality Management (24 citations) and Organizational Behavior and Human Resource Management (114 citations). Kim Williams has collaborated with scholars based in United States, Canada and Australia. Frequent co-authors include Elyria Kemp, Carla Childers, Pamela A. Kennett‐Hensel, Dale Stratford, Cari Courtenay–Quirk, Ann O’Leary, Yuko Mizuno, Harsha E. Chacko, Xi Yu Leung and Huiying Zhang. Their work appears in journals such as SHILAP Revista de lepidopterología, Journal of Medical Internet Research and International Journal of Hospitality Management.

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.

Explore authors with similar magnitude of impact

Rankless by CCL
2026