Kin-Nam Lau

484 total citations
22 papers, 353 citations indexed

About

Kin-Nam Lau is a scholar working on Marketing, Sociology and Political Science and Statistics and Probability. According to data from OpenAlex, Kin-Nam Lau has authored 22 papers receiving a total of 353 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Marketing, 5 papers in Sociology and Political Science and 5 papers in Statistics and Probability. Recurrent topics in Kin-Nam Lau's work include Digital Marketing and Social Media (5 papers), Consumer Market Behavior and Pricing (4 papers) and Advanced Statistical Methods and Models (3 papers). Kin-Nam Lau is often cited by papers focused on Digital Marketing and Social Media (5 papers), Consumer Market Behavior and Pricing (4 papers) and Advanced Statistical Methods and Models (3 papers). Kin-Nam Lau collaborates with scholars based in Hong Kong, United States and Latvia. Kin-Nam Lau's co-authors include Albert Kagan, Gerald V. Post, Kam-hon Lee, Hung‐Gay Fung, Patricia Berglund and E. T. Holm and has published in prestigious journals such as Journal of Marketing Research, European Journal of Operational Research and Entrepreneurship Theory and Practice.

In The Last Decade

Kin-Nam Lau

22 papers receiving 297 citations

Peers

Kin-Nam Lau
Comparison fields: 5 of 67
  • Sociology and Political Science 117
  • Marketing 85
  • Information Systems and Management 75
  • Organizational Behavior and Human Resource Management 71
  • Strategy and Management 65
Replace Jukka Ylitalo with:
Jukka Ylitalo Finland
Thuong T. Le United States
Seongmin Jeon South Korea
Junegak Joung South Korea
Libo Liu Australia
Sudhir Voleti India
Barry Wray United States
Panagiotis Kanellis Greece
Frederick Kaefer United States
Marcírio Silveira Chaves Brazil
Jukka Ylitalo Finland View profile →
Citations per field, relative to Kin-Nam Lau
Kin-Nam Lau · 1×
Citations per year, relative to Kin-Nam Lau
Kin-Nam Lau · 1×

Countries citing papers authored by Kin-Nam Lau

Since Specialization
Citations

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

Fields of papers citing papers by Kin-Nam Lau

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Kin-Nam Lau. 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 Kin-Nam Lau. The network helps show where Kin-Nam Lau may publish in the future.

Co-authorship network of co-authors of Kin-Nam Lau

This figure shows the co-authorship network connecting the top 25 collaborators of Kin-Nam Lau. A scholar is included among the top collaborators of Kin-Nam Lau 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 Kin-Nam Lau. Kin-Nam Lau 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
# Work Indexed citations
1 8
2 97
3 6
4 18
5 6
6 12
7 38
8 7
9 3
10 7
11 9
12 5
13 9
14 1
15 16
16 2
17 3
18 2
19 57
20 6

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