Stefan Schweter
Stefan Schweter publishes mostly in Artificial Intelligence, Museology and Literature and Literary Theory, on topics such as Natural Language Processing Techniques, Topic Modeling and Text Readability and Simplification.
- World rank
- #2,787,678 of 7,710,434 ranked researchers
- Rank in Germany
- #138,374 of 364,343
- Works
- 38
- Citations
- 1.7k
- Citations per work
- 44.6
What does Stefan Schweter research?
Stefan Schweter's work is mostly in Computer Science (75%), Arts and Humanities (8%), Medicine (2%).
Their six largest subfields, inside their fields and domains; the grey slice is everything else they publish. The interactive view splits every one of their works down to single topics.
The fields and subfields, with their numbers
- Physical Sciences2875.0%
- Computer Science2875.0%
- Everything else513.3%
- Social Sciences410.0%
- Arts and Humanities38.3%
- Social Sciences11.7%
- Health Sciences11.7%
- Medicine11.7%
- 1Artificial Intelligence75% of their works
- 2Museology3% of their works
- 3Literature and Literary Theory3% of their works
- 4Sociology and Political Science2% of their works
- 5Language and Linguistics2% of their works
- 6Health Informatics2% of their works
Research topics
Which keywords describe Stefan Schweter's research?
The keywords of their largest research topics: Neural Networks, Information Retrieval, Neural Machine Translation, Statistical Machine Translation, Text Classification, Machine Translation, Word Representation and Natural Language Processing.
- Text Mining
- Modal Logic
- Biomedical Ontologies
- Semantic Web
- Multi-label Learning
- Knowledge Representation
- Description Logics
- Text Simplification
- Natural Language Processing
- Machine Translation
- Statistical Machine Translation
- Information Retrieval
- Neural Networks
- Neural Machine Translation
- Text Classification
- Word Representation
- Readability Assessment
- Data Integration
- Feature Selection
- Literature
- Museum
- Answer Set Programming
- Linked Data
- Ontology
Size is their works in the topics tagged with each word, from their 8 largest topics. Each links to the topic it comes from most.
All 24 words, with their numbers
- Neural Networks212 topics
- Information Retrieval172 topics
- Neural Machine Translation171 topic
- Statistical Machine Translation171 topic
- Text Classification172 topics
- Machine Translation151 topic
- Word Representation151 topic
- Natural Language Processing72 topics
- Readability Assessment61 topic
- Text Simplification61 topic
- Data Integration22 topics
- Description Logics22 topics
- Feature Selection21 topic
- Knowledge Representation22 topics
- Literature21 topic
- Multi-label Learning21 topic
- Museum21 topic
- Semantic Web22 topics
- Answer Set Programming11 topic
- Biomedical Ontologies11 topic
- Linked Data11 topic
- Modal Logic11 topic
- Ontology11 topic
- Text Mining11 topic
Where does Stefan Schweter work?
Stefan Schweter's main affiliation in the publication record is Bavarian State Library, Germany.
How many publications and citations does Stefan Schweter have?
OpenAlex counts 38 works and 1,694 citations for Stefan Schweter, an h-index of 8, ranking #2,787,678 of 7,710,434 researchers worldwide on the quality score.
Ranked on field-normalised excellence (50%), output (30%) and citations (20%). Counts come from OpenAlex author records, which occasionally merge different people who share a name or split one person into several.
Papers, co-authors, who cited this work and researchers on the nearest topics have tabs of their own, above. Is this your page? Claim it with your ORCID iD, or request a correction or removal.
Discussion
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