Mark Kröll
- Artificial Intelligence top 10%
- Topic Modeling 12
- Advanced Text Analysis Techniques 7
- Natural Language Processing Techniques 7
- Semantic Web and Ontologies 4
- Authorship Attribution and Profiling 4
- Sentiment Analysis and Opinion Mining 3
- Information Systems top 10%
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- Air Quality Monitoring and Forecasting 3
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- Data Quality and Management 6
Mark Kröll
29 papers receiving 259 citations
Peers
Comparison fields: 5 of 63
- Artificial Intelligence 153
- Information Systems 93
- Health, Toxicology and Mutagenesis 48
- Environmental Engineering 43
- Information Systems and Management 18
Countries citing papers authored by Mark Kröll
This map shows the geographic impact of Mark Kröll'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 Mark Kröll with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Mark Kröll more than expected).
Fields of papers citing papers by Mark Kröll
This network shows the impact of papers produced by Mark Kröll. 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 Mark Kröll. The network helps show where Mark Kröll may publish in the future.
Co-authorship network
The 22 scholars most cited alongside Mark Kröll, 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 | 2025 | 3 | |
| 2 | 2022 | 16 | |
| 3 | 2022 | 2 | |
| 4 | 2020 | 0 | |
| 5 | 2020 | 45 | |
| 6 | 2018 | 21 | |
| 7 | Extending Scientific Literature Search by Including the Author's Writing Style | 2017 | 4 |
| 8 | Social Media Monitoring for Companies: A 4W Summarisation Approach | 2016 | 1 |
| 9 | Towards a more fine grained Analysis of Scientific Authorship: Predicting the number of authors using stylometric features | 2016 | 5 |
| 10 | Towards Authorship Attribution for Bibliometrics using Stylometric Features | 2015 | 6 |
| 11 | 2014 | 1 | |
| 12 | Incremental and Scalable Computation of Dynamic Topography Information Landscapes | 2012 | 3 |
| 13 | 2011 | 16 | |
| 14 | 2009 | 16 | |
| 15 | Extracting Human Goals from Weblogs. | 2009 | 1 |
| 16 | 2009 | 3 | |
| 17 | 2008 | 4 | |
| 18 | Task Instance Classification via Graph Kernels | 2007 | 2 |
| 19 | 2006 | 29 | |
| 20 | 1987 | 1 |
About Mark Kröll
Mark Kröll is a scholar working on Artificial Intelligence, Management Science and Operations Research, Information Systems, Music and Information Systems and Management, having authored 32 papers that have together received 277 indexed citations. Recurring topics across this work include Topic Modeling (12 papers), Advanced Text Analysis Techniques (7 papers), Natural Language Processing Techniques (7 papers), Data Quality and Management (6 papers), Semantic Web and Ontologies (4 papers), Authorship Attribution and Profiling (4 papers), Air Quality Monitoring and Forecasting (3 papers) and Sentiment Analysis and Opinion Mining (3 papers). The work is most often cited by research in Artificial Intelligence (153 citations), Information Systems (93 citations), Health, Toxicology and Mutagenesis (48 citations), Environmental Engineering (43 citations) and Information Systems and Management (18 citations). Mark Kröll has collaborated with scholars based in Austria, Croatia and Germany. Frequent co-authors include Markus Strohmaier, Roman Kern, Ivan Bešlić, Mario Lovrić, Christian Körner, Gerald Steinbauer, Harald Burgsteiner, Michael Granitzer, Stefanie Lindstaedt and Nicolas Weber. Their work appears in journals such as Scientometrics, International Journal of Environmental Research and Public Health, Academy of Management Review, Environmental Pollution and Applied Intelligence.
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.