Tomáš Brychcín

548 total citations
23 papers, 327 citations indexed

About

Tomáš Brychcín is a scholar working on Artificial Intelligence, Cultural Studies and Information Systems. According to data from OpenAlex, Tomáš Brychcín has authored 23 papers receiving a total of 327 indexed citations (citations by other indexed papers that have themselves been cited), including 22 papers in Artificial Intelligence, 2 papers in Cultural Studies and 1 paper in Information Systems. Recurrent topics in Tomáš Brychcín's work include Topic Modeling (21 papers), Natural Language Processing Techniques (15 papers) and Advanced Text Analysis Techniques (7 papers). Tomáš Brychcín is often cited by papers focused on Topic Modeling (21 papers), Natural Language Processing Techniques (15 papers) and Advanced Text Analysis Techniques (7 papers). Tomáš Brychcín collaborates with scholars based in Czechia. Tomáš Brychcín's co-authors include Michal Konkol, Miloslav Konopík, Josef Steinberger, Ivan Habernal and Pavel Král and has published in prestigious journals such as Expert Systems with Applications, Information Processing & Management and Computer Speech & Language.

In The Last Decade

Tomáš Brychcín

20 papers receiving 295 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Tomáš Brychcín Czechia 11 307 44 18 18 11 23 327
Reinald Kim Amplayo South Korea 10 222 0.7× 42 1.0× 8 0.4× 33 1.8× 17 1.5× 21 248
Ulli Waltinger Germany 10 226 0.7× 35 0.8× 17 0.9× 16 0.9× 25 2.3× 30 267
Anders Johannsen Denmark 11 363 1.2× 28 0.6× 15 0.8× 13 0.7× 20 1.8× 26 391
Michael Baeriswyl Switzerland 7 193 0.6× 39 0.9× 9 0.5× 15 0.8× 13 1.2× 11 251
Lamia Tounsi Ireland 9 419 1.4× 43 1.0× 8 0.4× 24 1.3× 26 2.4× 17 445
Kashif Rasul Germany 3 158 0.5× 27 0.6× 15 0.8× 24 1.3× 12 1.1× 3 183
Max Silberztein France 10 228 0.7× 30 0.7× 21 1.2× 8 0.4× 6 0.5× 30 289
Lena Dankin Israel 7 276 0.9× 89 2.0× 6 0.3× 22 1.2× 12 1.1× 13 310
Kalliopi Zervanou Netherlands 8 163 0.5× 34 0.8× 35 1.9× 13 0.7× 16 1.5× 31 209
Susan Armstrong Switzerland 8 204 0.7× 28 0.6× 22 1.2× 7 0.4× 20 1.8× 23 233

Countries citing papers authored by Tomáš Brychcín

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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-authorship network of co-authors of Tomáš Brychcín

This figure shows the co-authorship network connecting the top 25 collaborators of Tomáš Brychcín. A scholar is included among the top collaborators of Tomáš Brychcín based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Tomáš Brychcín. Tomáš Brychcín is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Brychcín, Tomáš, et al.. (2019). Enriching Word Embeddings with Global Information and Testing on Highly Inflected Language. Computación y Sistemas. 23(3). 2 indexed citations
2.
Brychcín, Tomáš, et al.. (2019). Cross-lingual word analogies using linear transformations between semantic spaces. Expert Systems with Applications. 135. 287–295. 6 indexed citations
3.
Brychcín, Tomáš, et al.. (2018). UWB at SemEval-2018 Task 10: Capturing Discriminative Attributes from Word Distributions. 935–939. 3 indexed citations
4.
Brychcín, Tomáš, et al.. (2018). Improving Word meaning representations using Wikipedia categories. Neural Network World. 28(6). 523–534. 2 indexed citations
5.
Brychcín, Tomáš, et al.. (2018). IMPROVING WORD MEANING REPRESENTATIONS USING WIKIPEDIA CATEGORIES. Neural Network World. 28(6). 523–534. 2 indexed citations
6.
Brychcín, Tomáš, et al.. (2018). The representation of some phrases in Arabic word semantic vector spaces. Open Computer Science. 8(1). 182–193. 1 indexed citations
7.
Steinberger, Josef, et al.. (2017). Cross-lingual Flames Detection in News Discussions. 694–700. 6 indexed citations
8.
Konkol, Michal, et al.. (2017). Geographical Evaluation of Word Embeddings. International Joint Conference on Natural Language Processing. 1. 224–232. 2 indexed citations
9.
Brychcín, Tomáš & Pavel Král. (2017). Unsupervised Dialogue Act Induction using Gaussian Mixtures. 485–490. 15 indexed citations
10.
Brychcín, Tomáš. (2016). Latent Tree Language Model. 436–446. 1 indexed citations
11.
Brychcín, Tomáš, et al.. (2016). UWB at SemEval-2016 Task 5: Aspect Based Sentiment Analysis. 342–349. 46 indexed citations
12.
Brychcín, Tomáš, et al.. (2016). Unsupervised Methods to Improve Aspect-Based Sentiment Analysis in Czech. Computación y Sistemas. 20(3). 21 indexed citations
13.
Brychcín, Tomáš & Miloslav Konopík. (2015). Latent semantics in language models. Computer Speech & Language. 33(1). 88–108. 8 indexed citations
14.
Konkol, Michal, Tomáš Brychcín, & Miloslav Konopík. (2014). Latent semantics in Named Entity Recognition. Expert Systems with Applications. 42(7). 3470–3479. 36 indexed citations
15.
Steinberger, Josef, Tomáš Brychcín, & Michal Konkol. (2014). Aspect-Level Sentiment Analysis in Czech. 24–30. 24 indexed citations
16.
Brychcín, Tomáš, Michal Konkol, & Josef Steinberger. (2014). UWB: Machine Learning Approach to Aspect-Based Sentiment Analysis. 817–822. 40 indexed citations
17.
Brychcín, Tomáš & Miloslav Konopík. (2014). HPS: High precision stemmer. Information Processing & Management. 51(1). 68–91. 26 indexed citations
18.
Brychcín, Tomáš & Ivan Habernal. (2013). Unsupervised Improving of Sentiment Analysis Using Global Target Context. Recent Advances in Natural Language Processing. 122–128. 19 indexed citations
19.
Brychcín, Tomáš & Miloslav Konopík. (2013). Semantic spaces for improving language modeling. Computer Speech & Language. 28(1). 192–209. 18 indexed citations
20.
Brychcín, Tomáš & Miloslav Konopík. (2011). Morphological based language models for inflectional languages. 560–563. 8 indexed citations

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.

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