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
- Information Systems top 10%
- Web Data Mining and Analysis
Papers in
-
- Topic Modeling 24
- Natural Language Processing Techniques 18
- Advanced Text Analysis Techniques 11
- Sentiment Analysis and Opinion Mining 7
- Speech Recognition and Synthesis 4
- Text and Document Classification Technologies 3
- Speech and dialogue systems 3
- Text Readability and Simplification 2
- Co-authors
- Michal Konkol (7 shared papers)Miloslav Konopík (6 shared papers)Josef Steinberger (5 shared papers)Ivan Habernal (2 shared papers)Pavel Král (2 shared papers)
- Journals
- Computer Speech & Language (2 papers)Expert Systems with Applications (2 papers)Information Processing & Management (1 paper)Lecture notes in computer science (4 papers)Neural Network World (2 papers)
- Partner nations
- Czechia
In The Last Decade
Tomáš Brychcín
25 papers receiving 382 citations
Peers
Comparison fields: 5 of 41
- Artificial Intelligence 395
- Information Systems 62
- General Social Sciences 5
- Space and Planetary Science 2
- 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 27 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2014 | 49 | |
| 2 | 2016 | 49 | |
| 3 | 2014 | 43 | |
| 4 | 2016 | 43 | |
| 5 | 2014 | 33 | |
| 6 | 2014 | 28 | |
| 7 | 2016 | 25 | |
| 8 | Unsupervised Improving of Sentiment Analysis Using Global Target Context | 2013 | 22 |
| 9 | 2013 | 21 | |
| 10 | 2013 | 16 | |
| 11 | 2017 | 15 | |
| 12 | 2016 | 11 | |
| 13 | 2011 | 9 | |
| 14 | 2015 | 9 | |
| 15 | 2018 | 7 | |
| 16 | 2019 | 6 | |
| 17 | 2017 | 6 | |
| 18 | 2014 | 5 | |
| 19 | 2018 | 5 | |
| 20 | 2018 | 3 |
About Tomáš Brychcín
Tomáš Brychcín is a scholar working on Artificial Intelligence, Cultural Studies, Information Systems, General Social Sciences and Infectious Diseases, having authored 27 papers that have together received 418 indexed citations. Recurring topics across this work include Topic Modeling (24 papers), Natural Language Processing Techniques (18 papers), Advanced Text Analysis Techniques (11 papers), Sentiment Analysis and Opinion Mining (7 papers), Speech Recognition and Synthesis (4 papers), Text and Document Classification Technologies (3 papers), Speech and dialogue systems (3 papers) and Text Readability and Simplification (2 papers). The work is most often cited by research in Artificial Intelligence (395 citations), Information Systems (62 citations), General Social Sciences (5 citations), Space and Planetary Science (2 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, Lecture notes in computer science and Neural Network World.
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.