Mark Heitmann

3.2k total citations · 2 hit papers
66 papers, 2.0k citations indexed

About

Mark Heitmann is a scholar working on Marketing, Strategy and Management and Sociology and Political Science. According to data from OpenAlex, Mark Heitmann has authored 66 papers receiving a total of 2.0k indexed citations (citations by other indexed papers that have themselves been cited), including 41 papers in Marketing, 13 papers in Strategy and Management and 12 papers in Sociology and Political Science. Recurrent topics in Mark Heitmann's work include Consumer Behavior in Brand Consumption and Identification (22 papers), Consumer Market Behavior and Pricing (22 papers) and Digital Marketing and Social Media (11 papers). Mark Heitmann is often cited by papers focused on Consumer Behavior in Brand Consumption and Identification (22 papers), Consumer Market Behavior and Pricing (22 papers) and Digital Marketing and Social Media (11 papers). Mark Heitmann collaborates with scholars based in Germany, Switzerland and United States. Mark Heitmann's co-authors include Andreas Herrmann, Christina Schamp, Donald R. Lehmann, Jochen Hartmann, Florian Stahl, Scott A. Neslin, Sheena S. Iyengar, Jonathan Levav, Torsten Tomczak and Sven Henkel and has published in prestigious journals such as Journal of Marketing, Journal of Political Economy and Journal of Marketing Research.

In The Last Decade

Mark Heitmann

55 papers receiving 1.9k citations

Hit Papers

Comparing automated text classification methods 2018 2026 2020 2023 2018 2022 50 100 150 200 250

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Mark Heitmann Germany 19 970 757 419 328 231 66 2.0k
Nicholas H. Lurie United States 17 1.2k 1.2× 1.4k 1.9× 410 1.0× 184 0.6× 170 0.7× 39 2.3k
Gabriele Pizzi Italy 19 889 0.9× 826 1.1× 250 0.6× 354 1.1× 134 0.6× 31 1.9k
Bruce D. Weinberg United States 21 792 0.8× 799 1.1× 325 0.8× 108 0.3× 263 1.1× 40 1.8k
Madhubalan Viswanathan United States 29 751 0.8× 384 0.5× 269 0.6× 114 0.3× 204 0.9× 64 2.2k
Gerald Häubl Canada 24 1.7k 1.8× 1.3k 1.8× 415 1.0× 284 0.9× 273 1.2× 86 3.2k
Patrick van Esch United States 29 714 0.7× 961 1.3× 477 1.1× 567 1.7× 118 0.5× 77 2.3k
Erin Cho United States 17 633 0.7× 735 1.0× 404 1.0× 131 0.4× 234 1.0× 40 1.6k
Thorsten Teichert Germany 24 648 0.7× 749 1.0× 381 0.9× 104 0.3× 427 1.8× 82 2.0k
Gerrit van Bruggen Netherlands 23 1.4k 1.5× 1.1k 1.4× 770 1.8× 190 0.6× 828 3.6× 48 2.9k
Sanjoy Ghose United States 23 1.5k 1.6× 1.0k 1.4× 518 1.2× 102 0.3× 422 1.8× 61 2.5k

Countries citing papers authored by Mark Heitmann

Since Specialization
Citations

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

Fields of papers citing papers by Mark Heitmann

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Mark Heitmann

This figure shows the co-authorship network connecting the top 25 collaborators of Mark Heitmann. A scholar is included among the top collaborators of Mark Heitmann based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Mark Heitmann. Mark Heitmann is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Heitmann, Mark, et al.. (2025). Picture Perfect: Engaging Customers with Visual Generative AI. Journal of Marketing.
2.
Hartmann, Jochen, Mark Heitmann, Christina Schamp, & Oded Netzer. (2021). The Power of Brand Selfies. Journal of Marketing Research. 58(6). 1159–1177. 100 indexed citations
3.
Hartmann, Jochen, Mark Heitmann, Christina Schamp, & Oded Netzer. (2020). The Power of Brand Selfies in Consumer-Generated Brand Images. ACR North American Advances. 2 indexed citations
4.
Hartmann, Jochen, et al.. (2020). Understanding Videos at Scale: How to Extract Insights for Business Research. SSRN Electronic Journal. 1 indexed citations
5.
Hartmann, Jochen, et al.. (2020). Understanding videos at scale: How to extract insights for business research. Journal of Business Research. 123. 367–379. 42 indexed citations
6.
Hartmann, Jochen, Mark Heitmann, Christina Schamp, & Oded Netzer. (2019). The Power of Brand Selfies in Consumer-Generated Brand Images. SSRN Electronic Journal. 13 indexed citations
7.
Schamp, Christina, et al.. (2019). Consideration of ethical attributes along the consumer decision-making journey. Journal of the Academy of Marketing Science. 47(2). 328–348. 48 indexed citations
8.
Ansari, Asim, et al.. (2017). Building a Social Network for Success. Journal of Marketing Research. 55(3). 321–338. 31 indexed citations
9.
Heitmann, Mark, et al.. (2016). When and how to infer heuristic consideration set rules of consumers. International Journal of Research in Marketing. 34(2). 516–535. 13 indexed citations
10.
Stahl, Florian, Mark Heitmann, Donald R. Lehmann, & Scott Neslin. (2012). Impact of Brand Equity on Customer Acquisition, Retention, and Profit Margin.
11.
Goldstein, Daniel G., Eric J. Johnson, Andreas Herrmann, & Mark Heitmann. (2008). Nudge Your Customers Toward Better Choices. Harvard business review. 86(12). 100 indexed citations
12.
Heitmann, Mark, et al.. (2008). Getting a feel for price affect: A conceptual framework and empirical investigation of consumers' emotional responses to price information. Psychology and Marketing. 26(1). 39–66. 63 indexed citations
13.
Landwehr, Jan R., et al.. (2008). Linear Mixed Models - Grundidee, Methodik und Anwendung. Alexandria (UniSG) (University of St.Gallen). 2 indexed citations
14.
Herrmann, Andreas, et al.. (2007). Die Macht des Defaults. Alexandria (UniSG) (University of St.Gallen). 2 indexed citations
15.
Kaiser, Christian, Andreas Herrmann, & Mark Heitmann. (2007). Survival-Modelle in der betriebswirtschaftlichen Forschung - Grundidee, Methodik, Anwendungen. Alexandria (UniSG) (University of St.Gallen). 2 indexed citations
16.
Heitmann, Mark, et al.. (2006). Designing Mobile Brand Communities: Concept and Empirical Illustration. Journal of Organizational Computing and Electronic Commerce. 16(3-4). 301–323. 15 indexed citations
17.
Herrmann, Andreas, Dorothea Schaffner, & Mark Heitmann. (2006). Individuelles Entscheidungsverhalten bei Variantenvielfalt — die Wirkung der „attribute alignability“. Journal of Business Economics. 76(3). 309–337.
18.
Heitmann, Mark, et al.. (2004). Customer Centric Development of Radically New Products - A European Case. Journal of the Association for Information Systems. 338. 3 indexed citations
19.
Camponovo, Giovanni, Mark Heitmann, Katarina Stanoevska‐Slabeva, & Yves Pigneur. (2003). Exploring the WISP Industry: Swiss Case Study. Journal of the Association for Information Systems. 27. 21 indexed citations
20.
Heitmann, Mark, et al.. (2002). Customer centred community application design : Introduction of the means‐end chain framework for product design of community applications. The International Journal on Media Management. 4(1). 13–20. 12 indexed citations

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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