Roman Kern
- Artificial Intelligence top 2%
- 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
- Health Informatics top 10%
- Information Systems top 5%
- Web Data Mining and Analysis 9
- Safety Research top 5%
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- Industrial Vision Systems and Defect Detection 9
Roman Kern
120 papers receiving 1.2k citations
Peers
Comparison fields: 5 of 157
- Artificial Intelligence 523
- Health Informatics 21
- Information Systems 231
- Safety Research 67
- Industrial and Manufacturing Engineering 76
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-authorship network
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
| # | Work | ||
|---|---|---|---|
| 1 | 2025 | 2 | |
| 2 | 2025 | 0 | |
| 3 | 2024 | 1 | |
| 4 | 2023 | 7 | |
| 5 | 2023 | 6 | |
| 6 | 2022 | 12 | |
| 7 | 2021 | 19 | |
| 8 | 2021 | 17 | |
| 9 | 2021 | 3 | |
| 10 | 2019 | 17 | |
| 11 | 2019 | 9 | |
| 12 | Understanding wafer patterns in semiconductor production with variational auto-encoders. | 2018 | 4 |
| 13 | Graz University of Technology at CL-SciSumm 2017: Query Generation Strategies. | 2017 | 4 |
| 14 | KNOW At The Social Book Search Lab 2016 Suggestion Track | 2016 | 0 |
| 15 | KNOW At The Social Book Search Lab 2016 Mining Track | 2016 | 2 |
| 16 | Automatic Summarization for Terminology Recommendation: The Case of the NCBO Ontology Recommender. | 2014 | 1 |
| 17 | Grammar Checker Features for Author Identification and Author Profiling Notebook for PAN at CLEF 2013 | 2013 | 1 |
| 18 | KnCe2013-CORE:Semantic Text Similarity by use of Knowledge Bases | 2013 | 1 |
| 19 | Distributed Web 2.0 Crawling for Ontology Evolution | 2009 | 3 |
| 20 | Knowledge Discovery using the Knowminer Framework | 2009 | 8 |
About Roman Kern
Roman Kern is a scholar working on Artificial Intelligence, Health Informatics, Signal Processing, Industrial and Manufacturing Engineering and Information Systems, 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 (523 citations), Health Informatics (21 citations), Information Systems (231 citations), Safety Research (67 citations) and Industrial and Manufacturing Engineering (76 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, Christopher Horn, Stuart K. Grange, Mark Kröll and Denis Helić. Their work appears in journals such as D-Lib Magazine, Applied Sciences, IEEE Access, International Journal on Digital Libraries and Scientific Reports.
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.