Vít Baisa

2.5k total citations · 1 hit paper
44 papers, 993 citations indexed

About

Vít Baisa is a scholar working on Artificial Intelligence, Language and Linguistics and Sociology and Political Science. According to data from OpenAlex, Vít Baisa has authored 44 papers receiving a total of 993 indexed citations (citations by other indexed papers that have themselves been cited), including 40 papers in Artificial Intelligence, 17 papers in Language and Linguistics and 4 papers in Sociology and Political Science. Recurrent topics in Vít Baisa's work include Natural Language Processing Techniques (36 papers), Topic Modeling (14 papers) and Lexicography and Language Studies (13 papers). Vít Baisa is often cited by papers focused on Natural Language Processing Techniques (36 papers), Topic Modeling (14 papers) and Lexicography and Language Studies (13 papers). Vít Baisa collaborates with scholars based in Czechia, United States and United Kingdom. Vít Baisa's co-authors include Vít Suchomel, Miloš Jakubíček, Vojtěch Kovář, Pavel Rychlý, Adam Kilgarriff, Jan Michelfeit, Jan Bušta, Peter Crosthwaite, Aleš Horák and Ismaïl El Maarouf and has published in prestigious journals such as Expert Systems with Applications, Language Resources and Evaluation and International Journal of Corpus Linguistics.

In The Last Decade

Vít Baisa

36 papers receiving 886 citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

The Sketch Engine

2014 796 citations Adam Kilgarriff, Vít Baisa et al. profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Vít Baisa Czechia	8	493	445	167	160	148	44	993
Miloš Jakubíček Czechia	7	514 1.0×	461 1.0×	155 0.9×	136 0.8×	169 1.1×	29	1.0k
Vojtěch Kovář Czechia	6	498 1.0×	436 1.0×	155 0.9×	129 0.8×	167 1.1×	22	965
Vít Suchomel Czechia	8	520 1.1×	544 1.2×	166 1.0×	154 1.0×	170 1.1×	27	1.1k
Jan Michelfeit Czechia	6	445 0.9×	359 0.8×	149 0.9×	122 0.8×	147 1.0×	9	857
Jan Bušta Czechia	5	424 0.9×	312 0.7×	148 0.9×	129 0.8×	146 1.0×	16	842
Basil Hatim United Kingdom	11	915 1.9×	271 0.6×	239 1.4×	85 0.5×	166 1.1×	31	1.2k
Christopher Tribble United Kingdom	8	307 0.6×	196 0.4×	357 2.1×	212 1.3×	87 0.6×	11	757
Dawn Archer United Kingdom	17	407 0.8×	385 0.9×	184 1.1×	47 0.3×	113 0.8×	63	817
Kirsten Malmkjær United Kingdom	15	530 1.1×	194 0.4×	216 1.3×	179 1.1×	148 1.0×	29	775
Wilbert Spooren Netherlands	15	606 1.2×	412 0.9×	313 1.9×	259 1.6×	456 3.1×	60	1.3k

Countries citing papers authored by Vít Baisa

Since Specialization

Citations

This map shows the geographic impact of Vít Baisa'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 Baisa with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Vít Baisa more than expected).

Fields of papers citing papers by Vít Baisa

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Vít Baisa. 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 Baisa. The network helps show where Vít Baisa may publish in the future.

Co-authorship network of co-authors of Vít Baisa

This figure shows the co-authorship network connecting the top 25 collaborators of Vít Baisa. A scholar is included among the top collaborators of Vít Baisa 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 Vít Baisa. Vít Baisa is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

Sort: Min cites: Since: Top N: Style:

20 of 20 papers shown

1.

Horák, Aleš, et al.. (2024). Recognition of propaganda techniques in newspaper texts: Fusion of content and style analysis. Expert Systems with Applications. 251. 124085–124085. 7 indexed citations

2.

Crosthwaite, Peter & Vít Baisa. (2023). Generative AI and the end of corpus-assisted data-driven learning? Not so fast!. 3(3). 100066–100066. 47 indexed citations

3.

Gregor, Miloš, et al.. (2021). Challenging Online Propaganda and Disinformation in the 21st Century. 1 indexed citations

4.

Baisa, Vít, et al.. (2019). Benchmark Dataset for Propaganda Detection in Czech Newspaper Texts. Archivio istituzionale della ricerca (Alma Mater Studiorum Università di Bologna). 77–83. 4 indexed citations

5.

Baisa, Vít, et al.. (2017). Manipulative Propaganda Techniques.. 111–118. 3 indexed citations

6.

Kosem, Iztok, et al.. (2017). Electronic lexicography in the 21st century: Proceedings of eLex 2017 conference. Dialnet (Universidad de la Rioja). 11 indexed citations

7.

Baisa, Vít, et al.. (2016). Between Comparable and Parallel: English-Czech Corpus from Wikipedia.. 3–8. 3 indexed citations

8.

Baisa, Vít, et al.. (2016). European Union Language Resources in Sketch Engine. Language Resources and Evaluation. 2799–2803. 10 indexed citations

9.

Cinková, Silvie, et al.. (2016). Graded and Word-Sense-Disambiguation Decisions in Corpus Pattern Analysis: a Pilot Study. Language Resources and Evaluation. 848–854.

10.

Suchomel, Vít, et al.. (2016). DSL Shared task 2016: Perfect Is The Enemy of Good Language Discrimination Through Expectation-Maximization and Chunk-based Language Model. International Conference on Computational Linguistics. 114–118. 2 indexed citations

11.

Baisa, Vít, et al.. (2016). VPS-GradeUp: Graded Decisions on Usage Patterns. Language Resources and Evaluation. 823–827.

12.

Baisa, Vít, et al.. (2015). Bilingual Terminology Extraction in Sketch Engine. 61–67. 4 indexed citations

13.

Baisa, Vít, et al.. (2015). Software and Data for Corpus Pattern Analysis. 75–86. 4 indexed citations

14.

Kilgarriff, Adam, et al.. (2014). Extrinsic Corpus Evaluation with a Collocation Dictionary Task. Language Resources and Evaluation. 545–552. 5 indexed citations

15.

Maarouf, Ismaïl El, et al.. (2014). Disambiguating Verbs by Collocation: Corpus Lexicography meets Natural Language Processing. Language Resources and Evaluation. 1001–1006. 6 indexed citations

16.

Baisa, Vít & Vít Suchomel. (2014). SkELL: Web Interface for English Language Learning. 63–70. 21 indexed citations

17.

Kilgarriff, Adam, Pavel Rychlý, Vojtěch Kovář, & Vít Baisa. (2012). Finding Multiwords of More Than Two Words. 693–700. 7 indexed citations

18.

Baisa, Vít. (2011). Corpus-based Disambiguation for Machine Translation. 81–87. 1 indexed citations

19.

Baisa, Vít, et al.. (2010). Morphological Analysis of Tajik - Notes and Preliminary Results. 21–27. 1 indexed citations

20.

Baisa, Vít. (2009). Problems of Machine Translation Evaluation. 121–126. 1 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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