Patrick Scholten

1.5k citations
11 papers · 541 · h-index 6

Impact in

Papers in

Patrick Scholten

11 papers receiving 500 citations

Peers

Patrick Scholten
Comparison fields: 5 of 61
  • Marketing 431
  • Strategy and Management 244
  • Management Science and Operations Research 199
  • Economics and Econometrics 189
  • General Economics, Econometrics and Finance 44
Replace Ronald L. Goettler with:
Ronald L. Goettler United States
Przemysław Jeziorski United States
Eric Wolff United States
Astrid A. Dick United States
G Butters United States
Carolyn Pitchik Canada
Sergei Koulayev United States
David Gautschi United States
Wilfried Sand‐Zantman France
Babur De los Santos United States
Patrick Scholten relative to Ronald L. Goettler United States Ronald L. Goettler's profile →
Citations per field
00.5×1.5×
Ronald L. Goettler · 1×
Citations per year

Countries citing papers authored by Patrick Scholten

Since Specialization
Citations

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

Fields of papers citing papers by Patrick Scholten

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 7 scholars most cited alongside Patrick Scholten, 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 Patrick Scholten Line = papers co-authored together Patrick Scholten links everyone, so they are left out of the graph.

All Works

11 of 11 papers shown
#Work
1 2004310
2 200478
3 200368
4
Price Dispersion in the Small and in the Large: Evidence from an Internet Price Comparison Site
200453
5 200615
6 20095
7 20225
8 20123
9
A Structural Equation Model of Gambling in the United Kingdom
20102
10 20181
11 20031

About Patrick Scholten

Patrick Scholten is a scholar working on Marketing, Strategy and Management, Economics and Econometrics, Management Science and Operations Research and Molecular Biology, having authored 11 papers that have together received 541 indexed citations. Recurring topics across this work include Consumer Market Behavior and Pricing (8 papers), Digital Platforms and Economics (6 papers), Merger and Competition Analysis (3 papers), Auction Theory and Applications (2 papers), Housing Market and Economics (2 papers), Bayesian Modeling and Causal Inference (1 paper), Financial Literacy, Pension, Retirement Analysis (1 paper) and International Development and Aid (1 paper). The work is most often cited by research in Marketing (431 citations), Strategy and Management (244 citations), Management Science and Operations Research (199 citations), Economics and Econometrics (189 citations) and General Economics, Econometrics and Finance (44 citations). Patrick Scholten has collaborated with scholars based in United States and China. Frequent co-authors include Michael R. Baye, John W. Morgan, Dominique Haughton, Arnold Kamis, Jeffrey A. Livingston, Joel I. Deichmann and O. David Gulley. Their work appears in journals such as Journal of Public Policy & Marketing, The American Statistician, Electronic Commerce Research and Applications, Journal of Industrial Economics and Eurasian economic review :.

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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