Tomáš Brychcín
Impact in
- Artificial Intelligence top 5%
- Topic Modeling
- Sentiment Analysis and Opinion Mining
- Advanced Text Analysis Techniques
- Natural Language Processing Techniques
- Text and Document Classification Technologies
- Text Readability and Simplification
- Speech Recognition and Synthesis
Papers in
-
- Topic Modeling 21
- Natural Language Processing Techniques 15
- Advanced Text Analysis Techniques 7
- Sentiment Analysis and Opinion Mining 6
- Speech Recognition and Synthesis 4
- Speech and dialogue systems 3
- Text and Document Classification Technologies 2
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- Language and cultural evolution 2
- Co-authors
- Michal Konkol (7 shared papers)Miloslav Konopík (6 shared papers)Josef Steinberger (5 shared papers)Ivan Habernal (1 shared paper)Pavel Král (1 shared paper)
- Journals
- Computer Speech & Language (2 papers)Expert Systems with Applications (2 papers)Information Processing & Management (1 paper)Neural Network World (2 papers)Open Computer Science (1 paper)
- Partner nations
- Czechia
In The Last Decade
Tomáš Brychcín
20 papers receiving 295 citations
Peers
Comparison fields: 5 of 37
- Artificial Intelligence 307
- Information Systems 44
- Space and Planetary Science 2
- General Social Sciences 5
- Tourism, Leisure and Hospitality Management 2
Countries citing papers authored by Tomáš Brychcín
This map shows the geographic impact of Tomáš Brychcín'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 Tomáš Brychcín with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Tomáš Brychcín more than expected).
Fields of papers citing papers by Tomáš Brychcín
This network shows the impact of papers produced by Tomáš Brychcín. 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 Tomáš Brychcín. The network helps show where Tomáš Brychcín may publish in the future.
Co-authors
The 5 scholars most cited alongside Tomáš Brychcín, 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 23 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2016 | 46 | |
| 2 | 2014 | 40 | |
| 3 | 2014 | 36 | |
| 4 | 2016 | 31 | |
| 5 | 2014 | 26 | |
| 6 | 2014 | 24 | |
| 7 | 2016 | 21 | |
| 8 | Unsupervised Improving of Sentiment Analysis Using Global Target Context | 2013 | 19 |
| 9 | 2013 | 18 | |
| 10 | 2017 | 15 | |
| 11 | 2016 | 10 | |
| 12 | 2011 | 8 | |
| 13 | 2015 | 8 | |
| 14 | 2017 | 6 | |
| 15 | 2019 | 6 | |
| 16 | 2018 | 3 | |
| 17 | Geographical Evaluation of Word Embeddings | 2017 | 2 |
| 18 | 2018 | 2 | |
| 19 | 2019 | 2 | |
| 20 | 2018 | 2 |
About Tomáš Brychcín
Tomáš Brychcín is a scholar working on Artificial Intelligence, Cultural Studies, Information Systems, General Social Sciences and Infectious Diseases, having authored 23 papers that have together received 327 indexed citations. Recurring topics across this work include Topic Modeling (21 papers), Natural Language Processing Techniques (15 papers), Advanced Text Analysis Techniques (7 papers), Sentiment Analysis and Opinion Mining (6 papers), Speech Recognition and Synthesis (4 papers), Speech and dialogue systems (3 papers), Language and cultural evolution (2 papers) and Text and Document Classification Technologies (2 papers). The work is most often cited by research in Artificial Intelligence (307 citations), Information Systems (44 citations), Space and Planetary Science (2 citations), General Social Sciences (5 citations) and Tourism, Leisure and Hospitality Management (2 citations). Tomáš Brychcín has collaborated with scholars based in Czechia. Frequent co-authors include Michal Konkol, Miloslav Konopík, Josef Steinberger, Ivan Habernal and Pavel Král. Their work appears in journals such as Computer Speech & Language, Expert Systems with Applications, Information Processing & Management, Neural Network World and Open Computer 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.