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.
Trustworthy artificial intelligence
2020307 citationsScott Thiebes, Sebastian Lins et al.profile →
Peers — A (Enhanced Table)
Peers by citation overlap · career bar shows stage (early→late)
cites ·
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Countries citing papers authored by Sebastian Lins
Since
Specialization
Citations
This map shows the geographic impact of Sebastian Lins'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 Sebastian Lins with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Sebastian Lins more than expected).
This network shows the impact of papers produced by Sebastian Lins. 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 Sebastian Lins. The network helps show where Sebastian Lins may publish in the future.
Co-authorship network of co-authors of Sebastian Lins
This figure shows the co-authorship network connecting the top 25 collaborators of Sebastian Lins.
A scholar is included among the top collaborators of Sebastian Lins 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 Sebastian Lins. Sebastian Lins is excluded from
the visualization to improve readability, since they are connected to all nodes in the network.
Lins, Sebastian, Jan-Michael Becker, Kalle Lyytinen, & Ali Sunyaev. (2023). A Design Theory for Certification Presentations. ACM SIGMIS Database the DATABASE for Advances in Information Systems. 54(3). 75–118.4 indexed citations
Kannengießer, Niclas, Sebastian Lins, & Ali Sunyaev. (2020). Uncertainties toward permissioned distributed ledgers: a multi-actor uncertainty conceptualization. Journal of the Association for Information Systems.2 indexed citations
14.
Adam, Martin, et al.. (2020). Stumbling over the Trust Tipping Point - The Effectiveness of Web Seals at Different Levels of Website Trustworthiness.. Journal of the Association for Information Systems.2 indexed citations
15.
Schneider, David C., et al.. (2017). Nudging Users Into Online Verification: The Case of Carsharing Platforms. Journal of the Association for Information Systems.7 indexed citations
16.
Lins, Sebastian & Ali Sunyaev. (2017). Unblackboxing IT Certifications: A Theoretical Model Explaining IT Certification Effectiveness. Journal of the Association for Information Systems.8 indexed citations
17.
Thiebes, Scott, et al.. (2016). ARE WE PLAYING YET? A REVIEW OF GAMIFIED ENTERPRISE SYSTEMS. Pacific Asia Conference on Information Systems. 2.10 indexed citations
18.
Lins, Sebastian, et al.. (2016). TOWARDS A BRIGHT FUTURE: ENHANCING DIFFUSION OF CONTINUOUS CLOUD SERVICE AUDITING BY THIRD PARTIES. European Conference on Information Systems.6 indexed citations
Thiebes, Scott, Sebastian Lins, & Dirk Basten. (2014). GAMIFYING INFORMATION SYSTEMS - A SYNTHESIS OF GAMIFICATION MECHANICS AND DYNAMICS. Journal of the Association for Information Systems.98 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.