Kevin Au

4.7k citations
59 papers · 3.4k indexed · h-index 32

Impact in

Papers in

Kevin Au

57 papers receiving 3.1k citations

Peers

Kevin Au
Comparison fields: 5 of 97
  • Organizational Behavior and Human Resource Management 1.6k
  • Communication 676
  • Management of Technology and Innovation 452
  • Accounting 613
  • Strategy and Management 784
Replace M. Audrey Korsgaard with:
M. Audrey Korsgaard United States
Xiao-Ping Chen United States
Isabel C. Botero United States
Sherry M. B. Thatcher United States
Alexander Pundt Germany
Marloes van Engen Netherlands
Randall S. Peterson United States
Derek R. Avery United States
T. R. Mitchell United States
James R. Meindl United States
Kevin Au relative to M. Audrey Korsgaard United States M. Audrey Korsgaard's profile →
Citations per field
00.5×1.5×
M. Audrey Korsgaard · 1×
Citations per year

Countries citing papers authored by Kevin Au

Since Specialization
Citations

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

Fields of papers citing papers by Kevin Au

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Kevin Au, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Kevin Au Line = papers co-authored together Kevin Au links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 20250
2 20239
3 20233
4 20211
5 20181
6 201821
7
Angel Investors’ Selection Criteria: A Comparative Institutional Perspective
20142
8 201478
9 201319
10 201321
11 201232
12 201130
13 201051
14 200592
15 200431
16 2004111
17 2002120
18 200065
19 1997211
20 199733

About Kevin Au

Kevin Au is a scholar working on Organizational Behavior and Human Resource Management, Management of Technology and Innovation, Accounting, Communication and Social Psychology, having authored 59 papers that have together received 3.4k indexed citations. Recurring topics across this work include Family Business Performance and Succession (21 papers), Entrepreneurship Studies and Influences (20 papers), Cultural Differences and Values (19 papers), Corporate Finance and Governance (16 papers), Job Satisfaction and Organizational Behavior (9 papers), International Student and Expatriate Challenges (9 papers), Private Equity and Venture Capital (7 papers) and Customer Service Quality and Loyalty (6 papers). The work is most often cited by research in Organizational Behavior and Human Resource Management (1.6k citations), Communication (676 citations), Management of Technology and Innovation (452 citations), Accounting (613 citations) and Strategy and Management (784 citations). Kevin Au has collaborated with scholars based in Hong Kong, China and United States. Frequent co-authors include Michael K. Hui, David C. Thomas, Mike W.‐L. Cheung, Henry Fock, Elizabeth C. Ravlin, Dafna Eylon, Yigang Pan, David K. Tse, Ho Kwong Kwan and Flora F. T. Chiang. Their work appears in journals such as Asia Pacific Journal of Management, Journal of International Business Studies, Journal of Cross-Cultural Psychology, Management and Organization Review and Cross Cultural & Strategic 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.

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