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.
The limits of trust-free systems: A literature review on blockchain technology and trust in the sharing economy
2018478 citationsFlorian Hawlitschek, Timm Teubner et al.profile →
Transparency and trust in artificial intelligence systems
This map shows the geographic impact of Timm Teubner'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 Timm Teubner with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Timm Teubner more than expected).
This network shows the impact of papers produced by Timm Teubner. 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 Timm Teubner. The network helps show where Timm Teubner may publish in the future.
Co-authorship network of co-authors of Timm Teubner
This figure shows the co-authorship network connecting the top 25 collaborators of Timm Teubner.
A scholar is included among the top collaborators of Timm Teubner 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 Timm Teubner. Timm Teubner is excluded from
the visualization to improve readability, since they are connected to all nodes in the network.
Teubner, Timm, et al.. (2021). But Keep your Customers Closer: The Value of Regionality in Electronic Commerce.. Journal of the Association for Information Systems.1 indexed citations
11.
Teubner, Timm, et al.. (2020). Bring your own stars – The economics of reputation portability. Journal of the Association for Information Systems.1 indexed citations
Adam, Marc T. P., et al.. (2020). Gazing at the Stars: How Signal Discrepancy Affects Purchase Intentions and Cognition. Journal of the Association for Information Systems.4 indexed citations
14.
Teubner, Timm, et al.. (2019). Trust isn’t blind: Exploring Visual Investor Cues in Equity Crowdfunding. Journal of the Association for Information Systems.4 indexed citations
15.
Dann, David, Alexander Maedche, Timm Teubner, et al.. (2019). DISKNET – A Platform for the Systematic Accumulation of Knowledge in IS Research. Journal of the Association for Information Systems.4 indexed citations
16.
Adam, Marc T. P., et al.. (2018). Knowing Me, Knowing You: Biosignals and Trust in the Surveillance Economy. Journal of the Association for Information Systems.2 indexed citations
17.
Teubner, Timm & Florian Glaser. (2018). Up or out - The dynamics of star rating scores on Airbnb.. European Conference on Information Systems. 96.6 indexed citations
18.
Teubner, Timm, et al.. (2017). When Life Gives You Lemons: How rating scales affect user activity and frustration in collaborative evaluation processes. Journal of the Association for Information Systems. 380.3 indexed citations
19.
Teubner, Timm, et al.. (2016). The Impact of Anonymity on Communication Persuasiveness in Online Participation. International Conference on Information Systems. 1.2 indexed citations
20.
Teubner, Timm. (2014). THOUGHTS ON THE SHARING ECONOMY. 322.27 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.