Mark Armstrong

8.8k citations
66 papers · 4.3k · h-index 30

Impact in

Papers in

Mark Armstrong

63 papers receiving 3.8k citations

Peers

Mark Armstrong
Comparison fields: 5 of 101
  • Marketing 1.8k
  • Strategy and Management 2.3k
  • Media Technology 1.0k
  • Management Science and Operations Research 1.3k
  • Economics and Econometrics 2.1k
Replace Garth Saloner with:
Garth Saloner United States
John Vickers United Kingdom
Martin Peitz Germany
Steven C. Salop United States
Jean‐Charles Rochet France
Luı́s Cabral United States
Michael D. Whinston United States
Tommaso Valletti United Kingdom
Oz Shy United States
Bruno Jullien France
Mark Armstrong relative to Garth Saloner United States Garth Saloner's profile →
Citations per field
00.5×1.5×2.1×
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Citations per year

Countries citing papers authored by Mark Armstrong

Since Specialization
Citations

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

Fields of papers citing papers by Mark Armstrong

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Mark Armstrong, 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 Mark Armstrong Line = papers co-authored together Mark Armstrong links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 66 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Regulatory Reform: Economic Analysis and British Experience
1994463
2 2006424
3 1996336
4 2001302
5 1998258
6 2006222
7 2009205
8 1996184
9 1999151
10 1999126
11 2009123
12 2010105
13 201085
14 200485
15
Optimal Multi-Object Auctions
200182
16 200980
17 199380
18 199575
19 201766
20 200560

About Mark Armstrong

Mark Armstrong is a scholar working on Economics and Econometrics, Marketing, Strategy and Management, Management Science and Operations Research and Media Technology, having authored 66 papers that have together received 4.3k indexed citations. Recurring topics across this work include Consumer Market Behavior and Pricing (31 papers), Merger and Competition Analysis (29 papers), Digital Platforms and Economics (28 papers), Auction Theory and Applications (14 papers), ICT Impact and Policies (13 papers), Economic theories and models (8 papers), Experimental Behavioral Economics Studies (4 papers) and Game Theory and Applications (4 papers). The work is most often cited by research in Marketing (1.8k citations), Strategy and Management (2.3k citations), Media Technology (1.0k citations), Management Science and Operations Research (1.3k citations) and Economics and Econometrics (2.1k citations). Mark Armstrong has collaborated with scholars based in United Kingdom, United States and Singapore. Frequent co-authors include John Vickers, Julian Wright, Simon Cowan, David E. M. Sappington, Jidong Zhou, Jean‐Charles Rochet, Steffen Huck, Chris Doyle, Yongmin Chen and Jean Tirole. Their work appears in journals such as The Review of Economic Studies, The Economic Journal, Journal of Industrial Economics, Econometrica and The RAND Journal of 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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