Markus Voeth

976 citations
35 papers · 315 · h-index 10

Impact in

  • Marketing top 5%
    • Consumer Market Behavior and Pricing
    • Consumer Behavior in Brand Consumption and Identification
    • Consumer Retail Behavior Studies

Papers in

Markus Voeth

28 papers receiving 283 citations

Peers

Markus Voeth
Comparison fields: 5 of 67
  • Marketing 129
  • General Decision Sciences 19
  • Organizational Behavior and Human Resource Management 83
  • Strategy and Management 106
  • Management Information Systems 54
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Citations per field
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Citations per year

Countries citing papers authored by Markus Voeth

Since Specialization
Citations

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

Fields of papers citing papers by Markus Voeth

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 11 scholars most cited alongside Markus Voeth, 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 Markus Voeth Line = papers co-authored together Markus Voeth links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 35 papers — load more, or switch the sort, to bring in the rest.

#Work
1 200853
2 201149
3
An empirical comparison of methods to measure willingness to pay by examining the hypothetical bias
200535
4 200531
5 201626
6 199822
7 200522
8 200514
9 200011
10 200710
11 20077
12 20067
13 20165
14 20183
15 20223
16 20212
17 20082
18 20022
19 20041
20 20191

About Markus Voeth

Markus Voeth is a scholar working on Strategy and Management, Marketing, Organizational Behavior and Human Resource Management, Sociology and Political Science and Economics and Econometrics, having authored 35 papers that have together received 315 indexed citations. Recurring topics across this work include Corporate Governance and Management (14 papers), Customer Service Quality and Loyalty (7 papers), Digital Innovation in Industries (5 papers), Consumer Market Behavior and Pricing (5 papers), Economic and Environmental Valuation (4 papers), Outsourcing and Supply Chain Management (3 papers), Corporate Management and Leadership (2 papers) and Marketing and Advertising Strategies (2 papers). The work is most often cited by research in Marketing (129 citations), General Decision Sciences (19 citations), Organizational Behavior and Human Resource Management (83 citations), Strategy and Management (106 citations) and Management Information Systems (54 citations). Markus Voeth has collaborated with scholars based in Germany. Frequent co-authors include Uta Herbst, Klaus Backhaus, Robert L. Wilken, Christina Sichtmann, Joachim Büschken, Mareike Schoop, Tatjana Becker, Dietrich Adam, Michael Welker and Matthias Bauer. Their work appears in journals such as Industrial Marketing Management, International Journal of Market Research, Journal of Business and Industrial Marketing, Journal of Business Economics and Group Decision and Negotiation.

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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