Gerold Schneider
Impact in
- Artificial Intelligence top 2%
- Natural Language Processing Techniques
- Topic Modeling
- Semantic Web and Ontologies
- Advanced Text Analysis Techniques
- Text Readability and Simplification
- Linguistics and Language top 5%
- Linguistic Variation and Morphology
Papers in
-
- Natural Language Processing Techniques 49
- Topic Modeling 34
- Semantic Web and Ontologies 21
- Text Readability and Simplification 8
- Speech and dialogue systems 6
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- Lexicography and Language Studies 6
- Co-authors
- Fabio RinaldiKaarel KaljurandSimon ClematideMichael HeßMarianne HundtJames DowdallMartin VolkGisela Sparmann
- Journals
- Die Naturwissenschaften (3 papers)Planta (2 papers)BMC Bioinformatics (2 papers)International Journal of Corpus Linguistics (2 papers)Corpora (1 paper)
- Partner nations
- SwitzerlandGermanyUnited Kingdom
In The Last Decade
Gerold Schneider
91 papers receiving 617 citations
Peers
Comparison fields: 5 of 85
- Artificial Intelligence 477
- Linguistics and Language 56
- Language and Linguistics 87
- Health Informatics 7
- Molecular Biology 348
Countries citing papers authored by Gerold Schneider
This map shows the geographic impact of Gerold Schneider'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 Gerold Schneider with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Gerold Schneider more than expected).
Fields of papers citing papers by Gerold Schneider
This network shows the impact of papers produced by Gerold Schneider. 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 Gerold Schneider. The network helps show where Gerold Schneider may publish in the future.
Co-authors
The 25 scholars most cited alongside Gerold Schneider, 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 | 2023 | 1 | |
| 2 | 2020 | 9 | |
| 3 | 2020 | 6 | |
| 4 | 2017 | 1 | |
| 5 | 2017 | 4 | |
| 6 | 2016 | 3 | |
| 7 | 2013 | 3 | |
| 8 | 2012 | 2 | |
| 9 | 2011 | 2 | |
| 10 | 2011 | 7 | |
| 11 | 2011 | 16 | |
| 12 | 2009 | 1 | |
| 13 | 2008 | 8 | |
| 14 | 2006 | 2 | |
| 15 | 2005 | 3 | |
| 16 | 2005 | 1 | |
| 17 | 2005 | 3 | |
| 18 | Fast, deep-linguistic statistical minimalist dependency parsing | 2004 | 5 |
| 19 | 2004 | 26 | |
| 20 | 2000 | 2 |
About Gerold Schneider
Gerold Schneider is a scholar working on Artificial Intelligence, Language and Linguistics, Linguistics and Language, General Social Sciences and Health Informatics, having authored 95 papers that have together received 707 indexed citations. Recurring topics across this work include Natural Language Processing Techniques (49 papers), Topic Modeling (34 papers), Biomedical Text Mining and Ontologies (28 papers), Semantic Web and Ontologies (21 papers), Text Readability and Simplification (8 papers), Lexicography and Language Studies (6 papers), Speech and dialogue systems (6 papers) and Linguistic Variation and Morphology (5 papers). The work is most often cited by research in Artificial Intelligence (477 citations), Linguistics and Language (56 citations), Language and Linguistics (87 citations), Health Informatics (7 citations) and Molecular Biology (348 citations). Gerold Schneider has collaborated with scholars based in Switzerland, Germany and United Kingdom. Frequent co-authors include Fabio Rinaldi, Kaarel Kaljurand, Simon Clematide, Michael Heß, Marianne Hundt, James Dowdall, Martin Volk, Gisela Sparmann, Martin Romacker and Andreas Persidis. Their work appears in journals such as Die Naturwissenschaften, Planta, BMC Bioinformatics, International Journal of Corpus Linguistics and Corpora.
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.