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.
Consumer Decision Making in Online Shopping Environments: The Effects of Interactive Decision Aids
This map shows the geographic impact of Gerald Häubl'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 Gerald Häubl with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Gerald Häubl more than expected).
This network shows the impact of papers produced by Gerald Häubl. 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 Gerald Häubl. The network helps show where Gerald Häubl may publish in the future.
Co-authorship network of co-authors of Gerald Häubl
This figure shows the co-authorship network connecting the top 25 collaborators of Gerald Häubl.
A scholar is included among the top collaborators of Gerald Häubl 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 Gerald Häubl. Gerald Häubl is excluded from
the visualization to improve readability, since they are connected to all nodes in the network.
Bergner, Anouk, Christian Hildebrand, & Gerald Häubl. (2019). Machine Talk: How Conversational Chatbots Promote Brand Intimacy and Influence Consumer Choice. Alexandria (UniSG) (University of St.Gallen).2 indexed citations
6.
Schlager, Tobias, Christian Hildebrand, Gerald Häubl, & Andreas Herrmann. (2015). The Gamification of Buying. ACR Asia-Pacific Advances.1 indexed citations
7.
Häubl, Gerald, et al.. (2015). The Dynamics of Success: How Experiencing Success Versus Failure Influences Subsequent Motivation. ACR North American Advances.1 indexed citations
8.
Hildebrand, Christian, Gerald Häubl, Andreas Herrmann, & Jan R. Landwehr. (2013). Conformity and the Crowd. Harvard business review. 91(7). 23–24.16 indexed citations
9.
Trudel, Remi, et al.. (2012). Helping Consumers Get Out of Debt Faster: How Debt Repayment Strategies Affect Motivation to Repay Debt. ACR North American Advances.1 indexed citations
10.
Murray, Kyle B. & Gerald Häubl. (2012). Why Dominant Companies Are Vulnerable. Alexandria (UniSG) (University of St.Gallen). 53(2). 12–14.6 indexed citations
Häubl, Gerald, et al.. (2010). Numeric Fluency and Preference. ACR North American Advances.8 indexed citations
13.
Häubl, Gerald, et al.. (2008). Self-Determination and the Relinquishment of Decision Control: Why Are Consumers Reluctant to Delegate Their Decisions to Surrogates?. ACR North American Advances.1 indexed citations
14.
Häubl, Gerald, et al.. (2007). The Opposing Effects of Personalized Recommendations on Objective and Subjective Decision Outcomes. ACR North American Advances.2 indexed citations
15.
Zhu, Tingshao, et al.. (2005). Goal-directed site-independent recommendations from passive observations. Alexandria (UniSG) (University of St.Gallen). 549–556.1 indexed citations
16.
Zhu, Tingshao, et al.. (2005). Using learned browsing behavior models to recommend relevant web pages. Alexandria (UniSG) (University of St.Gallen). 1589–1591.2 indexed citations
17.
Häubl, Gerald, Benedict G. C. Dellaert, Kyle B. Murray, & Valerie Trifts. (2004). Buyer behavior in personalized shopping environments: insights from the institute for online consumer studies. Data Archiving and Networked Services (DANS). 207–229.2 indexed citations
18.
Murray, Kyle B. & Gerald Häubl. (2002). The Fiction of No Friction: A User Skills Approach to Cognitive Lock-In. Alexandria (UniSG) (University of St.Gallen). 29(1). 11–18.21 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.