Greg Shaffer

5.6k citations
68 papers · 3.1k · h-index 31

Impact in

Papers in

    • Consumer Market Behavior and Pricing 44
    • Merger and Competition Analysis 52
    • Economic theories and models 10
    • Law, Economics, and Judicial Systems 8

Greg Shaffer

68 papers receiving 2.9k citations

Peers

Greg Shaffer
Comparison fields: 5 of 76
  • Marketing 2.0k
  • Strategy and Management 1.7k
  • Economics and Econometrics 2.0k
  • Management Science and Operations Research 671
  • Management Information Systems 445
Replace Chakravarthi Narasimhan with:
Chakravarthi Narasimhan United States
Naufel J. Vilcassim United States
Surendra Rajiv United States
Francine Lafontaine United States
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Jay Pil Choi United States
Bernard Caillaud France
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Citations per field
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Citations per year

Countries citing papers authored by Greg Shaffer

Since Specialization
Citations

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

Fields of papers citing papers by Greg Shaffer

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 17 scholars most cited alongside Greg Shaffer, 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 Greg Shaffer Line = papers co-authored together Greg Shaffer links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 68 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1995272
2 1992237
3 2002207
4 2004187
5 1991177
6 2000137
7 1998102
8 2000102
9 1999100
10 200786
11 199784
12 200778
13 199968
14 200464
15 199963
16 200560
17 200260
18 200457
19 200956
20 201055

About Greg Shaffer

Greg Shaffer is a scholar working on Marketing, Economics and Econometrics, Strategy and Management, Management Science and Operations Research and Management Information Systems, having authored 68 papers that have together received 3.1k indexed citations. Recurring topics across this work include Merger and Competition Analysis (52 papers), Consumer Market Behavior and Pricing (44 papers), Digital Platforms and Economics (34 papers), Auction Theory and Applications (18 papers), Economic theories and models (10 papers), Law, Economics, and Judicial Systems (8 papers), Game Theory and Applications (3 papers) and Supply Chain and Inventory Management (3 papers). The work is most often cited by research in Marketing (2.0k citations), Strategy and Management (1.7k citations), Economics and Econometrics (2.0k citations), Management Science and Operations Research (671 citations) and Management Information Systems (445 citations). Greg Shaffer has collaborated with scholars based in United States, United Kingdom and Germany. Frequent co-authors include Daniel Patrick O'Brien, Z. John Zhang, Leslie M. Marx, Morten Hviid, Stephen Walter Salant, Roman Inderst, Florian Zettelmeyer, Janusz A. Ordover, Maria N. Arbatskaya and Øystein Foros. Their work appears in journals such as International Journal of Industrial Organization, The RAND Journal of Economics, Journal of Economics & Management Strategy, Marketing Science and Journal of Industrial Economics.

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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