| External and intrinsic plagiarism detection using vector space models M Zechner, M Muhr, R Kern, M Granitzer Proc. SEPLN 32, 47-55, 2009 | 101 | 2009 |
| Why do users tag? Detecting users’ motivation for tagging in social tagging systems M Strohmaier, C Körner, R Kern Fourth International AAAI Conference on Weblogs and Social Media, 2010 | 100 | 2010 |
| Of categorizers and describers: An evaluation of quantitative measures for tagging motivation C Körner, R Kern, HP Grahsl, M Strohmaier Proceedings of the 21st ACM conference on Hypertext and hypermedia, 157-166, 2010 | 84 | 2010 |
| Understanding why users tag: A survey of tagging motivation literature and results from an empirical study M Strohmaier, C Körner, R Kern Journal of Web Semantics 17, 1-11, 2012 | 67 | 2012 |
| Evaluation of folksonomy induction algorithms M Strohmaier, D Helic, D Benz, C Körner, R Kern ACM Transactions on Intelligent Systems and Technology (TIST) 3 (4), 1-22, 2012 | 52 | 2012 |
| External and intrinsic plagiarism detection using a cross-lingual retrieval and segmentation system M Muhr, R Kern, M Zechner, M Granitzer Notebook papers of CLEF 2010 LABs and workshops, 22, 2010 | 52 | 2010 |
| Aspects of broad folksonomies M Lux, M Granitzer, R Kern 18th International Workshop on Database and Expert Systems Applications …, 2007 | 52 | 2007 |
| TeamBeam-meta-data extraction from scientific literature R Kern, K Jack, M Hristakeva, M Granitzer D-Lib Magazine 18 (7), 1, 2012 | 39 | 2012 |
| Understanding the true effects of the COVID-19 lockdown on air pollution by means of machine learning M Lovrić, K Pavlović, M Vuković, SK Grange, M Haberl, R Kern Environmental Pollution 274, 115900, 2021 | 38 | 2021 |
| Analysis of structural relationships for hierarchical cluster labeling M Muhr, R Kern, M Granitzer Proceedings of the 33rd international ACM SIGIR conference on Research and …, 2010 | 37 | 2010 |
| Recommending tags for pictures based on text, visual content and user context S Lindstaedt, V Pammer, R Mörzinger, R Kern, H Mülner, C Wagner 2008 Third International Conference on Internet and Web Applications and …, 2008 | 36 | 2008 |
| Authorship identification of documents with high content similarity A Rexha, M Kröll, H Ziak, R Kern Scientometrics, 2018 | 35 | 2018 |
| Polarity classification for target phrases in tweets: a Word2Vec approach A Rexha, M Kröll, M Dragoni, R Kern European Semantic Web Conference, 217-223, 2016 | 35 | 2016 |
| Efficient linear text segmentation based on information retrieval techniques R Kern, M Granitzer Proceedings of the International Conference on Management of Emergent …, 2009 | 35 | 2009 |
| Unsupervised document structure analysis of digital scientific articles S Klampfl, M Granitzer, K Jack, R Kern International journal on digital libraries 14 (3), 83-99, 2014 | 33 | 2014 |
| PySpark and RDKit: moving towards big data in cheminformatics M Lovrić, JM Molero, R Kern Molecular informatics 38 (6), 1800082, 2019 | 27 | 2019 |
| A literature survey of early time series classification and deep learning. T Santos, R Kern Sami@ iknow, 2016 | 26 | 2016 |
| An unsupervised machine learning approach to body text and table of contents extraction from digital scientific articles S Klampfl, R Kern International Conference on Theory and Practice of Digital Libraries, 144-155, 2013 | 26 | 2013 |
| Identifying referenced text in scientific publications by summarisation and classification techniques S Klampfl, A Rexha, R Kern Proceedings of the joint workshop on bibliometric-enhanced information …, 2016 | 23 | 2016 |
| Using factual density to measure informativeness of web documents C Horn, A Zhila, A Gelbukh, R Kern, E Lex Proceedings of the 19th Nordic Conference of Computational Linguistics …, 2013 | 23 | 2013 |
