Markus Zanker
Impact in
- Information Systems top 0.2%
- Recommender Systems and Techniques
- Marketing top 2%
Papers in
-
- Recommender Systems and Techniques 67
- Service-Oriented Architecture and Web Services 10
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- Topic Modeling 13
- Semantic Web and Ontologies 11
- Advanced Graph Neural Networks 10
- Co-authors
- Dietmar Jannach (35 shared papers)Gerhard Friedrich (18 shared papers)Alexander Felfernig (22 shared papers)Matthias Fuchs (6 shared papers)Ulrike Gretzel (4 shared papers)Fabio Stella (13 shared papers)Julia Neidhardt (10 shared papers)Zheng Xiang (1 shared paper)
In The Last Decade
Markus Zanker
112 papers receiving 3.1k citations
Markus Zanker's Hit Papers
Peers
Comparison fields: 5 of 117
- Information Systems 1.8k
- Marketing 469
- Artificial Intelligence 1.2k
- Computer Science Applications 185
- Management Science and Operations Research 407
Countries citing papers authored by Markus Zanker
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).
Fields of papers citing papers by Markus Zanker
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-authors
The 25 scholars most cited alongside Markus Zanker, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 122 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Recommender Systems: An Introduction Hit paper breakdown → | 2010 | 670 |
| 2 | Recommender Systems Hit paper breakdown → | 2010 | 463 |
| 3 | e-Tourism beyond COVID-19: a call for transformative research Hit paper breakdown → | 2020 | 356 |
| 4 | 2012 | 164 | |
| 5 | 2006 | 111 | |
| 6 | 2015 | 97 | |
| 7 | 2016 | 94 | |
| 8 | 2011 | 87 | |
| 9 | 2019 | 80 | |
| 10 | 2003 | 74 | |
| 11 | 2014 | 69 | |
| 12 | 2015 | 66 | |
| 13 | A Short Survey of Recommendation Technologies in Travel and Tourism | 2007 | 53 |
| 14 | 2003 | 50 | |
| 15 | 2010 | 48 | |
| 16 | 2008 | 42 | |
| 17 | 2016 | 38 | |
| 18 | 2012 | 35 | |
| 19 | 2007 | 30 | |
| 20 | 2010 | 29 |
About Markus Zanker
Markus Zanker is a scholar working on Information Systems, Artificial Intelligence, Management Science and Operations Research, Sociology and Political Science and Computer Networks and Communications, having authored 122 papers that have together received 3.3k indexed citations. Recurring topics across this work include Recommender Systems and Techniques (67 papers), Advanced Bandit Algorithms Research (16 papers), Digital Marketing and Social Media (14 papers), Data Management and Algorithms (13 papers), Topic Modeling (13 papers), Semantic Web and Ontologies (11 papers), Service-Oriented Architecture and Web Services (10 papers) and Advanced Graph Neural Networks (10 papers). The work is most often cited by research in Information Systems (1.8k citations), Marketing (469 citations), Artificial Intelligence (1.2k citations), Computer Science Applications (185 citations) and Management Science and Operations Research (407 citations). Markus Zanker has collaborated with scholars based in Austria, Italy and Germany. Frequent co-authors include Dietmar Jannach, Gerhard Friedrich, Alexander Felfernig, Matthias Fuchs, Ulrike Gretzel, Fabio Stella, Julia Neidhardt, Zheng Xiang, Juho Pesonen and Rob Law. Their work appears in journals such as Information Technology & Tourism, AI Magazine, User Modeling and User-Adapted Interaction, International Journal of Human-Computer Studies and Expert Systems with Applications.
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.