Vít Suchomel
Impact in
- Language and Linguistics top 1%
- linguistics and terminology studies
- Lexicography and Language Studies
- Translation Studies and Practices
- Artificial Intelligence top 2%
- Natural Language Processing Techniques
- Topic Modeling
Papers in
-
- Natural Language Processing Techniques 20
- Authorship Attribution and Profiling 6
- Topic Modeling 6
- Text Readability and Simplification 6
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- Lexicography and Language Studies 7
- linguistics and terminology studies 4
- Translation Studies and Practices 3
- Co-authors
- Pavel Rychlý (6 shared papers)Adam Kilgarriff (6 shared papers)Miloš Jakubíček (5 shared papers)Vojtěch Kovář (3 shared papers)Vít Baisa (9 shared papers)Jan Michelfeit (3 shared papers)Jan Bušta (1 shared paper)Jan Pomikálek (5 shared papers)
- Journals
- Journal of King Saud University - Computer and Information Sciences (1 paper)Language Resources and Evaluation (1 paper)International Conference on Computational Linguistics (1 paper)Dialnet (Universidad de la Rioja) (1 paper)Americanae (AECID Library) (1 paper)
- Partner nations
- CzechiaUnited StatesRussia
In The Last Decade
Vít Suchomel
20 papers receiving 945 citations
Vít Suchomel's Hit Papers
Peers
Comparison fields: 5 of 77
- Language and Linguistics 520
- Artificial Intelligence 544
- Literature and Literary Theory 166
- Experimental and Cognitive Psychology 170
- Developmental and Educational Psychology 154
Countries citing papers authored by Vít Suchomel
This map shows the geographic impact of Vít Suchomel'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 Vít Suchomel with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Vít Suchomel more than expected).
Fields of papers citing papers by Vít Suchomel
This network shows the impact of papers produced by Vít Suchomel. 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 Vít Suchomel. The network helps show where Vít Suchomel may publish in the future.
Co-authors
The 18 scholars most cited alongside Vít Suchomel, 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 27 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | The Sketch Engine Hit paper breakdown → | 2014 | 796 |
| 2 | The TenTen Corpus Family | 2013 | 73 |
| 3 | HindEnCorp - Hindi-English and Hindi-only Corpus for Machine Translation | 2014 | 63 |
| 4 | Efficient Web Crawling for Large Text Corpora | 2012 | 41 |
| 5 | 2014 | 24 | |
| 6 | 2014 | 24 | |
| 7 | SkELL: Web Interface for English Language Learning | 2014 | 21 |
| 8 | Text Tokenisation Using unitok | 2014 | 11 |
| 9 | arTenTen: a new, vast corpus for Arabic | 2013 | 7 |
| 10 | Large Corpora for Turkic Languages and UnsupervisedMorphological Analysis | 2012 | 7 |
| 11 | Terminology Extraction for Academic Slovene Using Sketch Engine | 2016 | 4 |
| 12 | Indonesian web corpus (idWac) | 2017 | 3 |
| 13 | Recent Czech Web Corpora | 2012 | 2 |
| 14 | DSL Shared task 2016: Perfect Is The Enemy of Good Language Discrimination Through Expectation-Maximization and Chunk-based Language Model | 2016 | 2 |
| 15 | Building a 50M Corpus of Tajik Language | 2011 | 2 |
| 16 | Semiautomatic Building and Extension of Terminological Thesaurus for Land Surveying Domain | 2014 | 1 |
| 17 | Practical Web Crawling for Text Corpora | 2011 | 1 |
| 18 | Corpus Based Extraction of Hypernyms in Terminological Thesaurus for Land Surveying Domain | 2015 | 1 |
| 19 | Automated Identification of Domain Preferences of Collocations | 2017 | 1 |
| 20 | Oromo web corpus | 2016 | 1 |
About Vít Suchomel
Vít Suchomel is a scholar working on Artificial Intelligence, Language and Linguistics, Information Systems, Molecular Biology and Developmental and Educational Psychology, having authored 27 papers that have together received 1.1k indexed citations. Recurring topics across this work include Natural Language Processing Techniques (20 papers), Lexicography and Language Studies (7 papers), Authorship Attribution and Profiling (6 papers), Topic Modeling (6 papers), Text Readability and Simplification (6 papers), linguistics and terminology studies (4 papers), Web Data Mining and Analysis (4 papers) and Translation Studies and Practices (3 papers). The work is most often cited by research in Language and Linguistics (520 citations), Artificial Intelligence (544 citations), Literature and Literary Theory (166 citations), Experimental and Cognitive Psychology (170 citations) and Developmental and Educational Psychology (154 citations). Vít Suchomel has collaborated with scholars based in Czechia, United States and Russia. Frequent co-authors include Pavel Rychlý, Adam Kilgarriff, Miloš Jakubíček, Vojtěch Kovář, Vít Baisa, Jan Michelfeit, Jan Bušta, Jan Pomikálek, Daniel Zeman and Pavel Straňák. Their work appears in journals such as Journal of King Saud University - Computer and Information Sciences, Language Resources and Evaluation, International Conference on Computational Linguistics, Dialnet (Universidad de la Rioja) and Americanae (AECID Library).
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.