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.
This map shows the geographic impact of Markus Zanker'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 Markus Zanker with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Markus Zanker more than expected).
This network shows the impact of papers produced by Markus Zanker. 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 Markus Zanker. The network helps show where Markus Zanker may publish in the future.
Co-authorship network of co-authors of Markus Zanker
This figure shows the co-authorship network connecting the top 25 collaborators of Markus Zanker.
A scholar is included among the top collaborators of Markus Zanker 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 Markus Zanker. Markus Zanker is excluded from
the visualization to improve readability, since they are connected to all nodes in the network.
Neidhardt, Julia, et al.. (2019). RecTour 2019. 564–565.8 indexed citations
9.
Çoba, Ludovik & Markus Zanker. (2016). rrecsys: An R-package for Prototyping Recommendation Algorithms.. View.1 indexed citations
10.
Zanker, Markus, et al.. (2011). An Empirical Study of Extracting Multidimensional Sequential Rules for Personalization and Recommendation in Online Commerce. Journal of the Association for Information Systems. 101.7 indexed citations
11.
Amatriain, Xavier, Marc Torrens, Paul Resnick, & Markus Zanker. (2010). Proceedings of the fourth ACM conference on Recommender systems. Conference on Recommender Systems.2 indexed citations
Silaghi, Marius-Cǎlin, et al.. (2005). Desk-Mates (Stable Matching) with Privacy of Preferences, and a New Distributed CSP Framework.. View. 671–677.5 indexed citations
Felfernig, Alexander, Gerhard Friedrich, Dietmar Jannach, Markus Stumptner, & Markus Zanker. (2003). Configuration knowledge representations for Semantic Web applications. Artificial intelligence for engineering design analysis and manufacturing. 17(1). 31–50.50 indexed citations
16.
Felfernig, Alexander, Gerhard Friedrich, Dietmar Jannach, & Markus Zanker. (2002). A Joint Foundation for Configuration in the Semantic Web. European Conference on Artificial Intelligence. 89–94.4 indexed citations
17.
Ardissono, Liliana, et al.. (2002). A framework for rapid development of advanced web-based configurator applications. View. 618–622.10 indexed citations
18.
Felfernig, Alexander, Gerhard Friedrich, Dietmar Jannach, Markus Stumptner, & Markus Zanker. (2002). UML as knowledge acquisition frontend for Semantic Web configuration knowledge bases. 155–169.4 indexed citations
Ardissono, Liliana, Alexander Felfernig, Gerhard Friedrich, et al.. (2001). Customer-Adaptive and Distributed Online Product Configuration in the CAWICOMS project. International Joint Conference on Artificial Intelligence. 8–14.4 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.