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.
Generative AI
2023444 citationsStefan Feuerriegel, Jochen Hartmann et al.Business & Information Systems Engineeringprofile →
Peers — A (Enhanced Table)
Peers by citation overlap · career bar shows stage (early→late)
cites ·
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Countries citing papers authored by Patrick Zschech
Since
Specialization
Citations
This map shows the geographic impact of Patrick Zschech'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 Patrick Zschech with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Patrick Zschech more than expected).
This network shows the impact of papers produced by Patrick Zschech. 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 Patrick Zschech. The network helps show where Patrick Zschech may publish in the future.
Co-authorship network of co-authors of Patrick Zschech
This figure shows the co-authorship network connecting the top 25 collaborators of Patrick Zschech.
A scholar is included among the top collaborators of Patrick Zschech 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 Patrick Zschech. Patrick Zschech is excluded from
the visualization to improve readability, since they are connected to all nodes in the network.
Feuerriegel, Stefan, Jochen Hartmann, Christian Janiesch, & Patrick Zschech. (2023). Generative AI. Business & Information Systems Engineering. 66(1). 111–126.444 indexed citations breakdown →
7.
Feuerriegel, Stefan, Jochen Hartmann, Christian Janiesch, & Patrick Zschech. (2023). Generative AI. SSRN Electronic Journal.19 indexed citations
Wanner, Jonas, Kai Heinrich, Christian Janiesch, & Patrick Zschech. (2020). How Much AI Do You Require? Decision Factors for Adopting AI Technology. Journal of the Association for Information Systems.17 indexed citations
11.
Heinrich, Kai, et al.. (2020). FOOL ME ONCE, SHAME ON YOU, FOOL ME TWICE, SHAME ON ME: A TAXONOMY OF ATTACK AND DE-FENSE PATTERNS FOR AI SECURITY. Journal of the Association for Information Systems.2 indexed citations
12.
Wanner, Jonas, Lukas-Valentin Herm, Kai Heinrich, Christian Janiesch, & Patrick Zschech. (2020). White, Grey, Black: Effects of XAI Augmentation on the Confidence in AI-based Decision Support Systems. Journal of the Association for Information Systems.10 indexed citations
13.
Zschech, Patrick, et al.. (2019). Towards a Taxonomic Benchmarking Framework for Predictive Maintenance: The Case of NASA's Turbofan Degradation.. Journal of the Association for Information Systems.7 indexed citations
14.
Horn, Richard L. Van & Patrick Zschech. (2019). Application of Process Mining Techniques to Support Maintenance-Related Objectives. Journal of the Association for Information Systems. 1856–1867.2 indexed citations
15.
Zschech, Patrick, et al.. (2019). Towards a Text-based Recommender System for Data Mining Method Selection.. Journal of the Association for Information Systems.2 indexed citations
16.
Heinrich, Kai, et al.. (2019). Demystifying the Black Box: A Classification Scheme for Interpretation and Visualization of Deep Intelligent Systems.. Journal of the Association for Information Systems.3 indexed citations
17.
Heinrich, Kai, et al.. (2019). EVERYTHING COUNTS: A TAXONOMY OF DEEP LEARNING APPROACHES FOR OBJECT COUNTING. Journal of the Association for Information Systems.4 indexed citations
18.
Zschech, Patrick. (2018). A Taxonomy of Recurring Data Analysis Problems in Maintenance Analytics. Journal of the Association for Information Systems.10 indexed citations
19.
Zschech, Patrick, et al.. (2018). Constituent Elements for Prescriptive Analytics Systems. Journal of the Association for Information Systems.2 indexed citations
20.
Zschech, Patrick, et al.. (2017). ARE YOU UP FOR THE CHALLENGE? TOWARDS THE DEVELOPMENT OF A BIG DATA CAPABILITY ASSESSMENT MODEL. Journal of the Association for Information Systems. 2613.2 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.