Ruqu Wang

1.1k citations
35 papers · 724 indexed · h-index 14

Ruqu Wang

32 papers receiving 674 citations

Peers

Ruqu Wang
Comparison fields: 5 of 55
  • Management Science and Operations Research 495
  • Marketing 340
  • Safety Research 150
  • Management Information Systems 131
  • Economics and Econometrics 321
Replace Masahiro Okuno‐Fujiwara with:
Masahiro Okuno‐Fujiwara Japan
Régis Renault France
Thomas D. Jeitschko United States
Balázs Szentes United Kingdom
Isabelle Perrigne United States
Robert Zeithammer United States
Rick Harbaugh United States
Héctor Chade United States
József Sákovics United Kingdom
Ruqu Wang relative to Masahiro Okuno‐Fujiwara Japan Masahiro Okuno‐Fujiwara's profile →
Citations per field
00.5×1.5×2.4×
Masahiro Okuno‐Fujiwara · 1×
Citations per year

Countries citing papers authored by Ruqu Wang

Since Specialization
Citations

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

Fields of papers citing papers by Ruqu Wang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

The 16 scholars most cited alongside Ruqu Wang, 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 Ruqu Wang Line = papers co-authored together Ruqu Wang links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 20230
2 201817
3 20185
4
On Some Implications of Backward Discounting
20155
5 201311
6 20123
7 200927
8 200915
9 20041
10 200040
11 20004
12 200036
13 199811
14 199822
15 199817
16 19979
17 1995112
18 19931
19
Common-value auctions : Theory and applications
19912
20 199119

About Ruqu Wang

Ruqu Wang is a scholar working on Management Science and Operations Research, Marketing, Safety Research, General Decision Sciences and Economics and Econometrics, having authored 35 papers that have together received 724 indexed citations. Recurring topics across this work include Auction Theory and Applications (21 papers), Consumer Market Behavior and Pricing (14 papers), Experimental Behavioral Economics Studies (10 papers), Game Theory and Applications (9 papers), Economic theories and models (8 papers), Supply Chain and Inventory Management (5 papers), Game Theory and Voting Systems (5 papers) and Merger and Competition Analysis (5 papers). The work is most often cited by research in Management Science and Operations Research (495 citations), Marketing (340 citations), Safety Research (150 citations), Management Information Systems (131 citations) and Economics and Econometrics (321 citations). Ruqu Wang has collaborated with scholars based in Canada, United States and China. Frequent co-authors include Andrew Weiss, Robert W. Rosenthal, Barton L. Lipman, Guofu Tan, Yongmin Chen, Huasheng Song, Jun Zhang, Quan Wen, Min Zhang and Jingfeng Lu. Their work appears in journals such as Journal of Economic Theory, Games and Economic Behavior, Economic Theory, European Economic Review and International Journal of Game Theory.

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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