Egon Stemle
- Artificial Intelligence top 10%
- Experimental and Cognitive Psychology
- Global and Planetary Change
- Language and Linguistics top 10%
- Social Psychology
- Co-authors
- Beata Beigman KlebanovChee Wee LeongAlexander OnyskoThomas MarsonerDaniel DepellegrinLukas Egarter ViglMassimo PoesioErich Tasser
- Topics
- Natural Language Processing Techniques (18 papers)Topic Modeling (4 papers)Semantic Web and Ontologies (4 papers)
In The Last Decade
Egon Stemle
22 papers receiving 223 citations
Peers
Comparison fields: 5 of 55
- Artificial Intelligence 157
- Experimental and Cognitive Psychology 60
- Global and Planetary Change 36
- Language and Linguistics 24
- Social Psychology 22
Countries citing papers authored by Egon Stemle
This map shows the geographic impact of Egon Stemle'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 Egon Stemle with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Egon Stemle more than expected).
Fields of papers citing papers by Egon Stemle
This network shows the impact of papers produced by Egon Stemle. 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 Egon Stemle. The network helps show where Egon Stemle may publish in the future.
Co-authorship network of co-authors of Egon Stemle
This figure shows the co-authorship network connecting the top 25 collaborators of Egon Stemle. A scholar is included among the top collaborators of Egon Stemle based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Egon Stemle. Egon Stemle is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 3 | |
| 2 | 0 | |
| 3 | 56 | |
| 4 | 45 | |
| 5 | 2 | |
| 6 | 11 | |
| 7 | Proceedings of the 10th Web as Corpus Workshop (WAC-X) and the EmpiriST Shared Task | 1 |
| 8 | The DiDi Corpus of South Tyrolean CMC Data | 2 |
| 9 | KoKo: an L1 Learner Corpus for German | 12 |
| 10 | Establishing a Standardised Procedure for Building Learner Corpora | 3 |
| 11 | 'interHist' `IP an interactive visual interface for corpus exploration | 0 |
| 12 | 1 | |
| 13 | 45 | |
| 14 | High-Accuracy Phrase Translation Acquisition Through Battle-Royale Selection | 1 |
| 15 | Structure-Preserving Pipelines for Digital Libraries | 6 |
| 16 | 4 | |
| 17 | PaddyWaC: A Minimally-Supervised Web-Corpus of Hiberno-English | 3 |
| 18 | Anaphoric Annotation of Wikipedia and Blogs in the Live Memories Corpus | 23 |
| 19 | Harvesting relations from the web: quantifiying the impact of filtering functions | 17 |
| 20 | FIASCO: Filtering the Internet by Automatic Subtree Classification, Osnabr¨ uck | 3 |
About Egon Stemle
Egon Stemle is a scholar working on Artificial Intelligence, Human-Computer Interaction and Language and Linguistics, having authored 25 papers that have together received 246 indexed citations. Recurring topics across this work include Natural Language Processing Techniques (18 papers), Topic Modeling (4 papers) and Semantic Web and Ontologies (4 papers). The work is most often cited by research in Artificial Intelligence (157 citations), Experimental and Cognitive Psychology (60 citations) and Language and Linguistics (24 citations). Egon Stemle has collaborated with scholars based in Italy, Austria and Germany. Frequent co-authors include Beata Beigman Klebanov, Chee Wee Leong, Alexander Onysko, Thomas Marsoner, Daniel Depellegrin, Lukas Egarter Vigl, Massimo Poesio, Erich Tasser, Philipp Cimiano and Alessandro Lenci. Their work appears in journals such as Language Resources and Evaluation, Information and People and Nature.
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.