Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies
if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the
same subfield and year (this is the minimum needed to enter the top 1%, not the average
within it), or reaches the top citation threshold in at least one of its specific research
topics.
Comparing automated text classification methods
2018272 citationsJochen Hartmann, Christina Schamp et al.International Journal of Research in Marketingprofile →
More than a Feeling: Accuracy and Application of Sentiment Analysis
2022158 citationsJochen Hartmann, Mark Heitmann et al.International Journal of Research in Marketingprofile →
Peers — A (Enhanced Table)
Peers by citation overlap · career bar shows stage (early→late)
cites ·
hero ref
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).
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.
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
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
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
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
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.