Mark Kröll
Impact in
- Artificial Intelligence top 5%
- Topic Modeling
- Sentiment Analysis and Opinion Mining
- Advanced Text Analysis Techniques
- Semantic Web and Ontologies
- Information Systems top 5%
- Web Data Mining and Analysis
Papers in
-
- Topic Modeling 18
- Advanced Text Analysis Techniques 13
- Sentiment Analysis and Opinion Mining 9
- Natural Language Processing Techniques 8
- Semantic Web and Ontologies 7
- Authorship Attribution and Profiling 5
- Co-authors
- Markus Strohmaier (11 shared papers)Roman Kern (18 shared papers)Harald Burgsteiner (2 shared papers)Gerald Steinbauer (2 shared papers)Michael Granitzer (9 shared papers)Ranka Godec (2 shared papers)Ivan Bešlić (3 shared papers)Mario Lovrić (3 shared papers)
In The Last Decade
Mark Kröll
45 papers receiving 405 citations
Peers
Comparison fields: 5 of 74
- Artificial Intelligence 268
- Information Systems 143
- Information Systems and Management 32
- Health, Toxicology and Mutagenesis 47
- Environmental Engineering 46
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-authors
The 25 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
Showing the 20 most-cited of 49 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2013 | 50 | |
| 2 | 2020 | 44 | |
| 3 | 2006 | 40 | |
| 4 | 2018 | 26 | |
| 5 | 2009 | 24 | |
| 6 | 2009 | 23 | |
| 7 | 2016 | 22 | |
| 8 | 2022 | 21 | |
| 9 | 2011 | 20 | |
| 10 | 2008 | 16 | |
| 11 | Context-Aware Knowledge Services | 2008 | 14 |
| 12 | 2005 | 12 | |
| 13 | 2016 | 11 | |
| 14 | Low-Level Event Relationship Discovery for Knowledge Work Support | 2007 | 9 |
| 15 | 2006 | 7 | |
| 16 | Towards Authorship Attribution for Bibliometrics using Stylometric Features | 2015 | 7 |
| 17 | Towards a more fine grained Analysis of Scientific Authorship: Predicting the number of authors using stylometric features | 2016 | 7 |
| 18 | 2008 | 6 | |
| 19 | Machine Learning based Work Task Classification | 2009 | 6 |
| 20 | 2009 | 6 |
About Mark Kröll
Mark Kröll is a scholar working on Artificial Intelligence, Information Systems, Management Science and Operations Research, Information Systems and Management and Management Information Systems, having authored 49 papers that have together received 439 indexed citations. Recurring topics across this work include Topic Modeling (18 papers), Advanced Text Analysis Techniques (13 papers), Sentiment Analysis and Opinion Mining (9 papers), Natural Language Processing Techniques (8 papers), Semantic Web and Ontologies (7 papers), Data Quality and Management (7 papers), Authorship Attribution and Profiling (5 papers) and Biomedical Text Mining and Ontologies (4 papers). The work is most often cited by research in Artificial Intelligence (268 citations), Information Systems (143 citations), Information Systems and Management (32 citations), Health, Toxicology and Mutagenesis (47 citations) and Environmental Engineering (46 citations). Mark Kröll has collaborated with scholars based in Austria, Germany and Croatia. Frequent co-authors include Markus Strohmaier, Roman Kern, Harald Burgsteiner, Gerald Steinbauer, Michael Granitzer, Ranka Godec, Ivan Bešlić, Mario Lovrić, Mauro Dragoni and Stefanie Lindstaedt. Their work appears in journals such as Lecture notes in computer science, D-Lib Magazine, Environmental Pollution, Academy of Management Review and Scientometrics.
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.