Roman Kern
Impact in
- Artificial Intelligence top 2%
- Topic Modeling
- Natural Language Processing Techniques
- Authorship Attribution and Profiling
- Advanced Text Analysis Techniques
- Semantic Web and Ontologies
- Health Informatics top 10%
Papers in
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- Topic Modeling 33
- Natural Language Processing Techniques 21
- Authorship Attribution and Profiling 12
- Advanced Text Analysis Techniques 11
- Semantic Web and Ontologies 11
- Privacy-Preserving Technologies in Data 7
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- Web Data Mining and Analysis 9
- Co-authors
- Mario Lovrić (13 shared papers)Michael Granitzer (19 shared papers)Markus Strohmaier (7 shared papers)Christian Körner (4 shared papers)Bernhard C. Geiger (10 shared papers)Stefan Klampfl (10 shared papers)Kris Jack (5 shared papers)Christopher Horn (3 shared papers)
In The Last Decade
Roman Kern
120 papers receiving 1.3k citations
Peers
Comparison fields: 5 of 156
- Artificial Intelligence 524
- Health Informatics 19
- Information Systems 236
- Safety Research 70
- Industrial and Manufacturing Engineering 77
Countries citing papers authored by Roman Kern
This map shows the geographic impact of Roman Kern'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 Roman Kern with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Roman Kern more than expected).
Fields of papers citing papers by Roman Kern
This network shows the impact of papers produced by Roman Kern. 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 Roman Kern. The network helps show where Roman Kern may publish in the future.
Co-authors
The 25 scholars most cited alongside Roman Kern, 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 130 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2019 | 90 | |
| 2 | 2020 | 73 | |
| 3 | 2021 | 68 | |
| 4 | External and Intrinsic Plagiarism Detection Using Vector Space Models | 2009 | 60 |
| 5 | 2021 | 49 | |
| 6 | 2010 | 42 | |
| 7 | 2010 | 40 | |
| 8 | 2022 | 35 | |
| 9 | 1980 | 32 | |
| 10 | 2021 | 30 | |
| 11 | 2012 | 29 | |
| 12 | 2022 | 29 | |
| 13 | 2012 | 26 | |
| 14 | 2020 | 22 | |
| 15 | 2023 | 22 | |
| 16 | 2018 | 21 | |
| 17 | External and Intrinsic Plagiarism Detection using a Cross-Lingual Retrieval and Segmentation System Lab Report for PAN at CLEF 2010 | 2010 | 20 |
| 18 | 2021 | 19 | |
| 19 | 2012 | 19 | |
| 20 | 2017 | 18 |
About Roman Kern
Roman Kern is a scholar working on Artificial Intelligence, Information Systems, Computer Vision and Pattern Recognition, Signal Processing and Industrial and Manufacturing Engineering, having authored 130 papers that have together received 1.3k indexed citations. Recurring topics across this work include Topic Modeling (33 papers), Natural Language Processing Techniques (21 papers), Authorship Attribution and Profiling (12 papers), Advanced Text Analysis Techniques (11 papers), Semantic Web and Ontologies (11 papers), Web Data Mining and Analysis (9 papers), Industrial Vision Systems and Defect Detection (9 papers) and Privacy-Preserving Technologies in Data (7 papers). The work is most often cited by research in Artificial Intelligence (524 citations), Health Informatics (19 citations), Information Systems (236 citations), Safety Research (70 citations) and Industrial and Manufacturing Engineering (77 citations). Roman Kern has collaborated with scholars based in Austria, Germany and Croatia. Frequent co-authors include Mario Lovrić, Michael Granitzer, Markus Strohmaier, Christian Körner, Bernhard C. Geiger, Stefan Klampfl, Kris Jack, Christopher Horn, Stuart K. Grange and Mark Kröll. Their work appears in journals such as D-Lib Magazine, Applied Sciences, IEEE Access, International Journal on Digital Libraries and ACM Transactions on Intelligent Systems and Technology.
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.