Thomas Proisl
Impact in
- Artificial Intelligence top 10%
- Natural Language Processing Techniques
- Topic Modeling
- Authorship Attribution and Profiling
- Sentiment Analysis and Opinion Mining
- Advanced Text Analysis Techniques
- Text Readability and Simplification
- Language and Linguistics top 10%
- Lexicography and Language Studies
Papers in
-
- Natural Language Processing Techniques 19
- Topic Modeling 10
- Authorship Attribution and Profiling 7
- Hate Speech and Cyberbullying Detection 4
- Sentiment Analysis and Opinion Mining 3
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- Lexicography and Language Studies 4
- Syntax, Semantics, Linguistic Variation 3
- Co-authors
- Stefan Evert (15 shared papers)Peter Uhrig (5 shared papers)Fotis Jannidis (6 shared papers)Christof Schöch (6 shared papers)Gabriella Lapesa (1 shared paper)
- Journals
- Language Resources and Evaluation (8 papers)Digital Scholarship in the Humanities (1 paper)Computational Linguistics (1 paper)International Journal of Corpus Linguistics (1 paper)Communications in computer and information science (1 paper)
- Partner nations
- Germany
In The Last Decade
Thomas Proisl
23 papers receiving 227 citations
Peers
Comparison fields: 5 of 47
- Artificial Intelligence 224
- Language and Linguistics 55
- Linguistics and Language 16
- General Social Sciences 10
- Literature and Literary Theory 34
Countries citing papers authored by Thomas Proisl
This map shows the geographic impact of Thomas Proisl'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 Thomas Proisl with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Thomas Proisl more than expected).
Fields of papers citing papers by Thomas Proisl
This network shows the impact of papers produced by Thomas Proisl. 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 Thomas Proisl. The network helps show where Thomas Proisl may publish in the future.
Co-authors
The 5 scholars most cited alongside Thomas Proisl, 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 26 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2017 | 112 | |
| 2 | 2016 | 25 | |
| 3 | KLUE: Simple and robust methods for polarity classification | 2013 | 25 |
| 4 | 2014 | 18 | |
| 5 | 2014 | 12 | |
| 6 | 2015 | 11 | |
| 7 | 2018 | 10 | |
| 8 | E-VIEW-alation – a Large-scale Evaluation Study of Association Measures for Collocation Identification | 2017 | 10 |
| 9 | 2018 | 7 | |
| 10 | 2012 | 7 | |
| 11 | 2018 | 6 | |
| 12 | Outliers or Key Profiles? Understanding Distance Measures for Authorship Attribution. | 2016 | 5 |
| 13 | 2016 | 4 | |
| 14 | 2012 | 4 | |
| 15 | 2020 | 3 | |
| 16 | 2015 | 3 | |
| 17 | 2017 | 3 | |
| 18 | A Corpus of German Reddit Exchanges (GeRedE) | 2020 | 3 |
| 19 | KLUE-CORE: A regression model of semantic textual similarity | 2013 | 3 |
| 20 | 2018 | 2 |
About Thomas Proisl
Thomas Proisl is a scholar working on Artificial Intelligence, Language and Linguistics, Philosophy, Developmental and Educational Psychology and Molecular Biology, having authored 26 papers that have together received 277 indexed citations. Recurring topics across this work include Natural Language Processing Techniques (19 papers), Topic Modeling (10 papers), Authorship Attribution and Profiling (7 papers), Lexicography and Language Studies (4 papers), Hate Speech and Cyberbullying Detection (4 papers), Syntax, Semantics, Linguistic Variation (3 papers), Biomedical Text Mining and Ontologies (3 papers) and Sentiment Analysis and Opinion Mining (3 papers). The work is most often cited by research in Artificial Intelligence (224 citations), Language and Linguistics (55 citations), Linguistics and Language (16 citations), General Social Sciences (10 citations) and Literature and Literary Theory (34 citations). Thomas Proisl has collaborated with scholars based in Germany. Frequent co-authors include Stefan Evert, Peter Uhrig, Fotis Jannidis, Christof Schöch and Gabriella Lapesa. Their work appears in journals such as Language Resources and Evaluation, Digital Scholarship in the Humanities, Computational Linguistics, International Journal of Corpus Linguistics and Communications in computer and information science.
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.