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.
Trust in Social Relations
2021143 citationsOliver Schilke, Martin Reimann et al.profile →
The transparency dilemma: How AI disclosure erodes trust
202521 citationsOliver Schilke, Martin ReimannOrganizational Behavior and Human Decision Processesprofile →
Peers — A (Enhanced Table)
Peers by citation overlap · career bar shows stage (early→late)
cites ·
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Countries citing papers authored by Martin Reimann
Since
Specialization
Citations
This map shows the geographic impact of Martin Reimann'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 Martin Reimann with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Martin Reimann more than expected).
This network shows the impact of papers produced by Martin Reimann. 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 Martin Reimann. The network helps show where Martin Reimann may publish in the future.
Co-authorship network of co-authors of Martin Reimann
This figure shows the co-authorship network connecting the top 25 collaborators of Martin Reimann.
A scholar is included among the top collaborators of Martin Reimann 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 Martin Reimann. Martin Reimann 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.
Schilke, Oliver & Martin Reimann. (2025). The transparency dilemma: How AI disclosure erodes trust. Organizational Behavior and Human Decision Processes. 188. 104405–104405.21 indexed citations breakdown →
Brucks, Merrie, et al.. (2017). Beauty and Control in Collecting: How Desire For Control Drives the Aesthetic Pursuit of Complete Collections. ACR North American Advances.1 indexed citations
Martin, Jolie M., Martin Reimann, & Michael I. Norton. (2015). Risk Preferences For Experiences, Or How Desserts Are Like Losses. ACR North American Advances.1 indexed citations
Reimann, Martin, et al.. (2013). Reward Substitution: Incentivizing Consumers to Choose Smaller Portion Sizes. ACR North American Advances.1 indexed citations
14.
Kemper, Jan, Oliver Schilke, Martin Reimann, Xuyi Wang, & Malte Brettel. (2012). Competition-Motivated Corporate Social Responsibility. SSRN Electronic Journal.7 indexed citations
Reimann, Martin, et al.. (2009). Neuroscience in Marketing and Consumer Research: Using Functional Magnetic Resonance Imaging. ACR North American Advances.1 indexed citations
19.
Tomas, G., G. Tomas M. Hult, Martin Reimann, & Oliver Schilke. (2009). Worldwide Faculty Perceptions of Marketing Journals: Rankings, Trends, Comparisons, and Segmentations. SSRN Electronic Journal.62 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.