Markus Schaal
Impact in
- Marketing top 10%
- Customer churn and segmentation
- Consumer Retail Behavior Studies
- Information Systems top 5%
- Recommender Systems and Techniques
Papers in
-
- Advanced Text Analysis Techniques 4
- Topic Modeling 4
- Sentiment Analysis and Opinion Mining 3
- Semantic Web and Ontologies 2
-
- Web Data Mining and Analysis 2
- Co-authors
- Stefan Lessmann (1 shared paper)Barry Smyth (7 shared papers)Michael P. O’Mahony (5 shared papers)Ruihai Dong (5 shared papers)Kevin McCarthy (4 shared papers)Roland M. Mueller (1 shared paper)Hayrettin Gürkök (1 shared paper)Roland Müller (1 shared paper)
- Journals
- The Learning Organization (1 paper)Expert Systems with Applications (1 paper)Journal of Intelligent Information Systems (1 paper)Refubium (Universitätsbibliothek der Freien Universität Berlin) (1 paper)Research Repository UCD (University College Dublin) (4 papers)
- Partner nations
- IrelandTürkiyeNetherlands
In The Last Decade
Markus Schaal
10 papers receiving 243 citations
Peers
Comparison fields: 5 of 59
- Marketing 55
- Information Systems 115
- Artificial Intelligence 129
- Information Systems and Management 25
- Computational Mathematics 2
Countries citing papers authored by Markus Schaal
This map shows the geographic impact of Markus Schaal'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 Schaal with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Markus Schaal more than expected).
Fields of papers citing papers by Markus Schaal
This network shows the impact of papers produced by Markus Schaal. 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 Schaal. The network helps show where Markus Schaal may publish in the future.
Co-authors
The 9 scholars most cited alongside Markus Schaal, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2020 | 106 | |
| 2 | 2015 | 47 | |
| 3 | 2013 | 39 | |
| 4 | Topic extraction from online reviews for classification and recommendation | 2013 | 35 |
| 5 | 2012 | 9 | |
| 6 | 2012 | 8 | |
| 7 | 2008 | 3 | |
| 8 | 2010 | 2 | |
| 9 | 2013 | 2 | |
| 10 | 2012 | 1 | |
| 11 | WrapIt: Automated Integration of Web Databases with Extensional Overlaps | 2002 | 0 |
| 12 | 2000 | 0 | |
| 13 | 2007 | 0 |
About Markus Schaal
Markus Schaal is a scholar working on Artificial Intelligence, Information Systems, Communication, Computer Vision and Pattern Recognition and Computer Networks and Communications, having authored 13 papers that have together received 252 indexed citations. Recurring topics across this work include Advanced Text Analysis Techniques (4 papers), Topic Modeling (4 papers), Sentiment Analysis and Opinion Mining (3 papers), Web Data Mining and Analysis (2 papers), Wikis in Education and Collaboration (2 papers), Semantic Web and Ontologies (2 papers), Hermeneutics and Narrative Identity (1 paper) and Big Data and Business Intelligence (1 paper). The work is most often cited by research in Marketing (55 citations), Information Systems (115 citations), Artificial Intelligence (129 citations), Information Systems and Management (25 citations) and Computational Mathematics (2 citations). Markus Schaal has collaborated with scholars based in Ireland, Türkiye and Netherlands. Frequent co-authors include Stefan Lessmann, Barry Smyth, Michael P. O’Mahony, Ruihai Dong, Kevin McCarthy, Roland M. Mueller, Hayrettin Gürkök, Roland Müller and Rachael Rafter. Their work appears in journals such as The Learning Organization, Expert Systems with Applications, Journal of Intelligent Information Systems, Refubium (Universitätsbibliothek der Freien Universität Berlin) and Research Repository UCD (University College Dublin).
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.