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
2014796 citationsAdam Kilgarriff, Vít Baisa et al.profile →
Peers — A (Enhanced Table)
Peers by citation overlap · career bar shows stage (early→late)
cites ·
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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).
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-authorship network of co-authors of Vít Suchomel
This figure shows the co-authorship network connecting the top 25 collaborators of Vít Suchomel.
A scholar is included among the top collaborators of Vít Suchomel 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 Suchomel. Vít Suchomel 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.
Suchomel, Vít, et al.. (2017). Indonesian web corpus (idWac). Americanae (AECID Library).3 indexed citations
2.
Suchomel, Vít, et al.. (2017). Automated Identification of Domain Preferences of Collocations. Dialnet (Universidad de la Rioja). 309–320.1 indexed citations
3.
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
4.
Fišer, Darja, Vít Suchomel, & Miloš Jakubíček. (2016). Terminology Extraction for Academic Slovene Using Sketch Engine. 135–141.4 indexed citations
5.
Suchomel, Vít & Pavel Rychlý. (2016). Oromo web corpus.1 indexed citations
6.
Baisa, Vít & Vít Suchomel. (2015). Corpus Based Extraction of Hypernyms in Terminological Thesaurus for Land Surveying Domain. 69–74.1 indexed citations
7.
Baisa, Vít & Vít Suchomel. (2015). Turkic Language Support in Sketch Engine. 214–223.
8.
Belinkov, Yonatan, et al.. (2014). arTenTen: Arabic Corpus and Word Sketches. Journal of King Saud University - Computer and Information Sciences. 26(4). 357–371.24 indexed citations
9.
Suchomel, Vít, et al.. (2014). Intelligent Search and Replace for Czech Phrases. 97–105.
10.
Bojar, Ondřej, Pavel Rychlý, Pavel Straňák, et al.. (2014). HindEnCorp - Hindi-English and Hindi-only Corpus for Machine Translation. Language Resources and Evaluation. 3550–3555.63 indexed citations
11.
Horák, Aleš, et al.. (2014). Semiautomatic Building and Extension of Terminological Thesaurus for Land Surveying Domain. 129–137.1 indexed citations
12.
Michelfeit, Jan, Jan Pomikálek, & Vít Suchomel. (2014). Text Tokenisation Using unitok. 71–75.11 indexed citations
13.
Baisa, Vít & Vít Suchomel. (2014). SkELL: Web Interface for English Language Learning. 63–70.21 indexed citations
Kilgarriff, Adam, Vít Baisa, Jan Bušta, et al.. (2014). The Sketch Engine. 1(1). 7–36.796 indexed citations breakdown →
16.
Suchomel, Vít. (2012). Recent Czech Web Corpora. 77–83.2 indexed citations
17.
Suchomel, Vít & Jan Pomikálek. (2012). Efficient Web Crawling for Large Text Corpora. 39–43.41 indexed citations
18.
Pomikálek, Jan, et al.. (2011). Building a 50M Corpus of Tajik Language. 89–95.2 indexed citations
19.
Suchomel, Vít & Jan Pomikálek. (2011). Practical Web Crawling for Text Corpora. 97–108.1 indexed citations
20.
Pomikálek, Jan & Vít Suchomel. (2011). chared: Character Encoding Detection with a Known Language. 125–129.
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.