Vai‐Lam Mui

1.3k citations
22 papers · 846 · h-index 16

Impact in

Papers in

Vai‐Lam Mui

21 papers receiving 801 citations

Peers

Vai‐Lam Mui
Comparison fields: 5 of 61
  • General Decision Sciences 212
  • Safety Research 639
  • Demography 201
  • Management Science and Operations Research 213
  • Economics and Econometrics 239
Replace Luca Rigotti with:
Luca Rigotti United States
M. Vittoria Levati Italy
Sigrid Suetens Netherlands
Brit Grosskopf United Kingdom
Erik O. Kimbrough United States
Subhasish M. Chowdhury United Kingdom
Jeroen van de Ven Netherlands
Ramón Cobo‐Reyes Spain
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Citations per field
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Citations per year

Countries citing papers authored by Vai‐Lam Mui

Since Specialization
Citations

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

Fields of papers citing papers by Vai‐Lam Mui

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Vai‐Lam Mui. 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 Vai‐Lam Mui. The network helps show where Vai‐Lam Mui may publish in the future.

Co-authors

The 6 scholars most cited alongside Vai‐Lam Mui, 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 Vai‐Lam Mui Line = papers co-authored together Vai‐Lam Mui links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 22 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1998212
2 1997160
3 1995138
4 200537
5 199734
6 200833
7 201230
8 201329
9 200724
10 201122
11 200721
12 201920
13 201917
14 201417
15 200216
16 200315
17 201614
18 20154
19
Achieving Intertemporal Efficiency and Symmetry through Intratemporal Asymmetry: (Eventual) Turn Taking in a Class of Repeated Mixed-Interest Games
20041
20 19901

About Vai‐Lam Mui

Vai‐Lam Mui is a scholar working on Safety Research, Sociology and Political Science, Management Science and Operations Research, Economics and Econometrics and Demography, having authored 22 papers that have together received 846 indexed citations. Recurring topics across this work include Experimental Behavioral Economics Studies (19 papers), Game Theory and Applications (9 papers), Evolutionary Game Theory and Cooperation (8 papers), Culture, Economy, and Development Studies (7 papers), Economic Policies and Impacts (4 papers), Decision-Making and Behavioral Economics (2 papers), Psychology of Social Influence (1 paper) and Political Influence and Corporate Strategies (1 paper). The work is most often cited by research in General Decision Sciences (212 citations), Safety Research (639 citations), Demography (201 citations), Management Science and Operations Research (213 citations) and Economics and Econometrics (239 citations). Vai‐Lam Mui has collaborated with scholars based in United States, Australia and Hong Kong. Frequent co-authors include Timothy N. Cason, Sau‐Him Paul Lau, Nicholas Argyres, Kai A. Konrad, Tosio Kato and Steven Goldman. Their work appears in journals such as Journal of Economic Behavior & Organization, The Economic Journal, European Journal of Political Economy, Theory and Decision and Games and Economic Behavior.

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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