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 Czechia

Country5 institutions in 3 agglomerations · all countries

About

Profile

Czechia appears on this site as a small group of research institutions. Each of them is included because people working there wrote at least two of the papers the library holds. The Czechia country listing brings these institutions together and orders them by how much their scientists' work, done at that institution, has been cited. It is one of many country groupings in the library's wider directory of institutions, which covers universities, laboratories, companies and other organisations from around the world.

The Czech group is compact. It has four universities and one research institute, spread across three cities: Prague, Pilsen and Brno. Three of the five are based in Prague. The selection reflects only the papers in our library. It does not survey Czech science as a whole, and many Czech institutions doing active research may not appear here at all. The listing is best read as a description of where the library's own collection connects to Czechia, not as a census or a ranking of the country's research system.

The institutions

Charles University in Prague stands first in the listing. It is described as a university, and among the Czech entries it has the broadest presence in the collection. Many of the works linked to Czechia on this site come from its researchers, and that body of work has drawn substantial citation. Readers who want the most detailed view of Czech research here will find it on the Charles University page. That page has its own profile and its own lists of works and topics.

Czech Technical University in Prague comes second. It is also a university based in the capital. Its presence in the library is much narrower: only a few papers are associated with its researchers. Those papers have still attracted a fair amount of attention from other authors.

The University of West Bohemia in Pilsen is listed third and is the only entry located in Pilsen. Its set of works in our library is modest in size. Even so, the citations attached to that set are very large, larger than those of any other Czech institution in the group. This suggests that one or more highly cited papers involve researchers from Pilsen. The institution's own page is the place to see which works these are.

Masaryk University in Brno is fourth. It is the only entry from Brno and, like the Prague and Pilsen universities, it is described as a university. A handful of papers in our library connect to its researchers. Their citation record is modest but clearly visible.

The Digital Research Infrastructure for Language Technologies, Arts and Humanities closes the list. It is the one entry classed as a research institute rather than a university, and it is located in Prague. Its name points to work on language technologies and on digital resources for the arts and humanities. On this site it is linked to only a couple of papers, and these have so far gathered few citations.

Geography

The Czech entries are concentrated in Prague. Charles University, Czech Technical University in Prague and the Digital Research Infrastructure for Language Technologies, Arts and Humanities are all based there. In this collection, the capital therefore accounts for most of the institutions and for the largest number of linked works.

Pilsen and Brno each have one entry. The University of West Bohemia in Pilsen and Masaryk University in Brno extend the Czech presence beyond the capital. The Pilsen university matters in particular, because its citation record is the strongest in the group. If the measure is citation rather than the number of papers, the weight of Czech research on this site is not confined to Prague. A western city carries a large share of it.

No other Czech cities appear in the listing. This does not mean research is absent elsewhere. It means that no institution in another city has yet met the threshold of two or more papers in the library.

Kinds of institutions

Universities dominate the group. Four of the five entries are universities, and between them they account for nearly all the Czech-linked works and citations on this site. The listing names no companies, hospitals or government bodies from Czechia, although the directory's categories would allow for them.

The one research institute, the Digital Research Infrastructure for Language Technologies, Arts and Humanities, adds a different kind of organisation. As the word infrastructure in its name suggests, it describes itself as a provider of shared research resources. It is not presented as a teaching institution. Its presence shows that the library's Czech connections include at least one dedicated infrastructure body alongside the universities.

Research strengths

The country listing does not itself break Czech research down by field, topic or individual work. The clearest signals about subject matter come from the individual institution pages and from the names of the institutions.

One institution's name states a subject area outright. The Digital Research Infrastructure for Language Technologies, Arts and Humanities ties Czech research on this site to language technology and digital humanities. The other four entries are general universities. Their profiles, topic lists and work lists on their own pages show which fields their researchers contributed to the collection.

From the citation patterns alone, two points of concentration stand out. Charles University has the widest base of linked works and substantial accumulated citation, which points to a broad and sustained presence in the library. The University of West Bohemia in Pilsen has a narrow base but a very high citation total, which points to a smaller number of works with unusually wide influence. Czech Technical University in Prague and Masaryk University sit between these two patterns, with a few papers each and steady citation. The research institute is the newest or least cited presence, at least as measured by the works held here.

These observations describe only the papers in our library. They do not establish how Czech institutions compare with one another, or with institutions abroad, across the wider research literature.

Leading scientists and landmark works

The country page does not list individual researchers or individual papers. The scientists whose work places these institutions in the library are named on each institution's own page. Those pages list people in the order the library gives them and connect each person to the works written there.

The same applies to landmark works. The citation pattern suggests that the most cited Czech-linked papers in our library are tied to the University of West Bohemia in Pilsen and to Charles University. The titles and contents of those papers, and the researchers behind them, are given on the respective institution pages rather than on the country listing. Readers looking for specific landmark papers should start with those two universities.

Collaborations

Because each institution appears only if its researchers wrote at least two papers in the collection, the listing implies working links between these Czech organisations and the wider set of authors and institutions represented on the site. The country page does not, however, show which partners these are. It names no co-authors, partner institutions or partner countries.

It is plausible that some of the Prague-based entries share work. Charles University, Czech Technical University in Prague and the language-technology infrastructure are all located in the same city. Whether they do is not shown at the country level. The individual pages, which list each institution's works and authors, are the place to follow such connections. Any statement about joint projects between the Czech universities, or between them and institutions abroad, would need to rest on those pages rather than on the country summary.

Over time

The country listing gives no dates. It does not say when the Czech-linked works were published, how their number has changed, or when each institution first appeared in the collection. Questions about how Czech research on this site developed over the years can be pursued through the publication years on the individual works listed on each institution's page.

What the listing does show is a snapshot. At present, a broad and well-cited body of work is centred on Charles University. A small but very highly cited set of papers is associated with the University of West Bohemia in Pilsen. Czech Technical University in Prague and Masaryk University each make smaller contributions. A recently visible research infrastructure in Prague works in language technologies and the humanities. As the library grows, the order and makeup of this group may change, and further Czech institutions may join it once their researchers reach the threshold of two linked papers.

Reading the listing

The order of the Czech entries follows the cited work that scientists did at each institution, according to the library's own way of weighing that work. It does not simply follow raw citation totals or paper counts. This is why the University of West Bohemia in Pilsen, despite its very large citation figure, appears below both Charles University and Czech Technical University in Prague. The ranking is a way of arranging the library's holdings, not a judgement of quality or standing.

For a full picture, readers should use the country listing as an index. Each name leads to a page with that institution's profile, its people, its works with their citations, and its topics and units. Taken together, those pages describe what Czech research looks like within this collection.

 Where

Agglomerations (3)

  1. Pilsen1 institution38,657 citations
  2. Prague3 institutions19,140 citations
  3. Brno1 institution379 citations

 Institutions (5)

🎓 Universities (4)

🔬 Labs and research institutes (1)

See all 5 institutions →

 People (38)

Authors with a page confirmed at its institutions, the most cited first.

See all 38 people →

 Works in our library (109)

Works of its institutions, the most cited first.

  1. SciPy 1.0 — Fundamental Algorithms for Scientific Computing in PythonPauli Virtanen, Ralf Gommers, Travis E. Oliphant, et al.2019 · 38,317 citations
  2. Universal Dependencies v1: A Multilingual Treebank CollectionJoakim Nivre, Marie-Catherine de Marneffe, Filip Ginter, et al.2016 · 1,739 citations
  3. Non-Projective Dependency Parsing using Spanning Tree AlgorithmsRyan McDonald, Fernando Pereira, Kiril Ribarov, et al.2005 · 1,258 citations
  4. A Study on Similarity and Relatedness Using Distributional and WordNet-based ApproachesEneko Agirre, Enrique Alfonseca, Keith Hall, et al.2009 · 1,117 citations
  5. Findings of the 2016 Conference on Machine TranslationOndřej Bojar, Rajen Chatterjee, Christian Federmann, et al.2016 · 936 citations
  6. Universal DependenciesMarie-Catherine de Marneffe, Christopher D. Manning, Joakim Nivre, et al.2021 · 910 citations
  7. Findings of the 2019 Conference on Machine Translation (WMT19)Loïc Barrault, Ondřej Bojar, Marta R. Costa-jussà, et al.2019 · 839 citations
  8. Tokenizing, POS Tagging, Lemmatizing and Parsing UD 2.0 with UDPipeMilan Straka, Jana Straková2017 · 811 citations
  9. Findings of the 2018 Conference on Machine Translation (WMT18)Ondřej Bojar, Christian Federmann, Mark Fishel, et al.2018 · 747 citations
  10. Findings of the 2017 Conference on Machine Translation (WMT17)Ondřej Bojar, Rajen Chatterjee, Christian Federmann, et al.2017 · 685 citations
  11. The CoNLL-2009 Shared Task: Syntactic and Semantic Dependencies in Multiple LanguagesJan Hajič, Massimiliano Ciaramita, Richard Johansson, et al.2009 · 631 citations
  12. CoNLL 2017 Shared Task: Multilingual Parsing from Raw Text to Universal DependenciesDaniel Zeman, Martin Popel, Milan Straka, et al.2017 · 604 citations
  13. Universal DependenciesMarie-Catherine de Marneffe, Christopher D. Manning, Joakim Nivre, et al.2021 · 480 citations
  14. UDPipe: Trainable Pipeline for Processing CoNLL-U Files Performing Tokenization, Morphological Analysis, POS Tagging and ParsingMilan Straka, Jan Hajič, Jana Straková2016 · 478 citations
  15. Findings of the 2013 Workshop on Statistical Machine TranslationOndřej Bojar, Christian Buck, Chris Callison-Burch, et al.2013 · 441 citations
  16. 75 Languages, 1 Model: Parsing Universal Dependencies UniversallyDan Kondratyuk, Milan Straka2019 · 415 citations
  17. Findings of the 2020 Conference on Machine Translation (WMT20)Loïc Barrault, Magdalena Biesialska, Ondřej Bojar, et al.2020 · 401 citations
  18. Text Understanding with the Attention Sum Reader NetworkRudolf Kadlec, Martin Schmid, Ondrej Bajgar, et al.2016 · 379 citations
  19. Training Tips for the Transformer ModelMartin Popel, Ondřej Bojar2018 · 369 citations
  20. Universal Dependencies v2: An Evergrowing Multilingual Treebank CollectionJoakim Nivre, Marie-Catherine de Marneffe, Filip Ginter, et al.2020 · 326 citations
  21. CoNLL 2018 Shared Task: Multilingual Parsing from Raw Text to Universal DependenciesDaniel Zeman, Jan Hajič, Martin Popel, et al.2018 · 316 citations
  22. A Lexicographer-Friendly Association ScorePavel Rychlý2008 · 312 citations
  23. UDPipe 2.0 Prototype at CoNLL 2018 UD Shared TaskMilan Straka2018 · 303 citations
  24. Results of the WMT19 Metrics Shared Task: Segment-Level and Strong MT Systems Pose Big ChallengesQingsong Ma, Johnny Wei, Ondřej Bojar, et al.2019 · 283 citations
  25. Cross-Language Parser Adaptation between Related LanguagesDaniel Zeman, Philip Resnik2008 · 282 citations

See all 109 works →

 Topics

Topics of its works in our library, with the number of works on each.

 Machine translation (30) Evaluation & benchmarks (24) Universal Dependencies (18) Multilingual & cross-lingual NLP (18) Coreference resolution (17) Treebanks (9) Discourse analysis (6) Semitic languages (6) Speech & spoken language (4) Low-resource languages (4) Morphology (4) Syntax & grammar formalisms (4) Dependency parsing (3) Language models & pretraining (3) Semantic role labeling (2) Part-of-speech tagging (2) Sentiment & emotion (2) Semantic parsing & meaning representation (2) Named entity recognition (1) Speech act theory (1) Summarization (1) Text generation (1) Dialogue systems (1) Hebrew & Aramaic (1) Tokenization & segmentation (1) Idioms & multiword expressions (1)

 Fields

 Linguistics & languages (95) Machine translation (36) Natural language processing (15) Mathematics & statistics (2) AI & machine learning (1) Computing & GPUs (1) History & humanities (1)

 Works by year

2020

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