David Mareček

823 total citations
44 papers, 399 citations indexed

About

David Mareček is a scholar working on Artificial Intelligence, Molecular Biology and Control and Systems Engineering. According to data from OpenAlex, David Mareček has authored 44 papers receiving a total of 399 indexed citations (citations by other indexed papers that have themselves been cited), including 40 papers in Artificial Intelligence, 2 papers in Molecular Biology and 2 papers in Control and Systems Engineering. Recurrent topics in David Mareček's work include Natural Language Processing Techniques (39 papers), Topic Modeling (33 papers) and Text Readability and Simplification (15 papers). David Mareček is often cited by papers focused on Natural Language Processing Techniques (39 papers), Topic Modeling (33 papers) and Text Readability and Simplification (15 papers). David Mareček collaborates with scholars based in Czechia, United States and Norway. David Mareček's co-authors include Rudolf Rosa, Zdeněk Žabokrtský, Martin Popel, Daniel Zeman, Ondřej Bojar, Jan Hajič, Milan Straka, Ondřej Dušek, Jan Štěpánek and Aleš Tamchyna and has published in prestigious journals such as SHILAP Revista de lepidopterología, Artificial Intelligence in Medicine and Language Resources and Evaluation.

In The Last Decade

David Mareček

41 papers receiving 346 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
David Mareček Czechia	12	382	37	33	27	22	44	399
Katri Haverinen Finland	7	355 0.9×	31 0.8×	44 1.3×	29 1.1×	26 1.2×	9	389
Yannick Versley Germany	15	641 1.7×	27 0.7×	53 1.6×	24 0.9×	41 1.9×	40	660
Atanas Chanev Sweden	2	496 1.3×	27 0.7×	30 0.9×	29 1.1×	46 2.1×	2	510
Rudolf Rosa Czechia	11	279 0.7×	12 0.3×	34 1.0×	20 0.7×	17 0.8×	35	294
Petr Pajas Czechia	10	383 1.0×	57 1.5×	17 0.5×	8 0.3×	19 0.9×	19	396
Igor Boguslavsky Russia	7	210 0.5×	36 1.0×	15 0.5×	10 0.4×	12 0.5×	27	234
Gema Ramírez-Sánchez Spain	8	362 0.9×	36 1.0×	13 0.4×	66 2.4×	27 1.2×	13	384
Żeljko Agić Croatia	14	600 1.6×	62 1.7×	12 0.4×	65 2.4×	22 1.0×	48	634
Nerea Ezeiza Spain	8	194 0.5×	31 0.8×	16 0.5×	11 0.4×	15 0.7×	28	202

Countries citing papers authored by David Mareček

Since Specialization

Citations

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

Fields of papers citing papers by David Mareček

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of David Mareček

This figure shows the co-authorship network connecting the top 25 collaborators of David Mareček. A scholar is included among the top collaborators of David Mareček 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 David Mareček. David Mareček 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

Zamparelli, Roberto, et al.. (2023). The Functional Relevance of Probed Information: A Case Study. UvA-DARE (University of Amsterdam). 835–848.

Mareček, David, et al.. (2023). Tokenization Impacts Multilingual Language Modeling: Assessing Vocabulary Allocation and Overlap Across Languages. 5661–5681. 2 indexed citations

Mareček, David, et al.. (2016). If You Even Don’t Have a Bit of Bible: Learning Delexicalized POS Taggers. Language Resources and Evaluation. 96–103. 3 indexed citations

Mareček, David. (2016). Twelve Years of Unsupervised Dependency Parsing.. 56–62. 5 indexed citations

Rosa, Rudolf, J. Mašek, David Mareček, et al.. (2014). HamleDT 2.0: Thirty Dependency Treebanks Stanfordized. Language Resources and Evaluation. 2334–2341. 24 indexed citations

Pecina, Pavel, Ondřej Dušek, Lorraine Goeuriot, et al.. (2014). Adaptation of machine translation for multilingual information retrieval in the medical domain. Artificial Intelligence in Medicine. 61(3). 165–185. 17 indexed citations

Mareček, David & Milan Straka. (2013). Stop-probability estimates computed on a large corpus improve Unsupervised Dependency Parsing. Meeting of the Association for Computational Linguistics. 281–290. 17 indexed citations

Rosa, Rudolf, David Mareček, & Aleš Tamchyna. (2013). Deepfix: Statistical Post-editing of Statistical Machine Translation Using Deep Syntactic Analysis. Meeting of the Association for Computational Linguistics. 172–179. 6 indexed citations

Popel, Martin, et al.. (2013). Coordination Structures in Dependency Treebanks. Meeting of the Association for Computational Linguistics. 517–527. 22 indexed citations

10.

Zeman, Daniel, David Mareček, Martin Popel, et al.. (2012). HamleDT: To Parse or Not to Parse?. Language Resources and Evaluation. 2735–2741. 32 indexed citations

11.

Žabokrtský, Zdeněk, et al.. (2012). Formemes in English-Czech Deep Syntactic MT. Workshop on Statistical Machine Translation. 267–274. 9 indexed citations

12.

Rosa, Rudolf, et al.. (2012). DEPFIX: A System for Automatic Correction of Czech MT Outputs. Workshop on Statistical Machine Translation. 362–368. 32 indexed citations

13.

Rosa, Rudolf, et al.. (2012). Using Parallel Features in Parsing of Machine-Translated Sentences for Correction of Grammatical Errors. Meeting of the Association for Computational Linguistics. 39–48. 9 indexed citations

14.

Mareček, David & Zdeněk Žabokrtský. (2012). Unsupervised Dependency Parsing using Reducibility and Fertility features. North American Chapter of the Association for Computational Linguistics. 84–89. 4 indexed citations

15.

Mareček, David & Zdeněk Žabokrtský. (2012). Exploiting Reducibility in Unsupervised Dependency Parsing. Empirical Methods in Natural Language Processing. 297–307. 5 indexed citations

16.

Bojar, Ondřej, Zdeněk Žabokrtský, Ondřej Dušek, et al.. (2012). The Joy of Parallelism with CzEng 1.0. Language Resources and Evaluation. 3921–3928. 33 indexed citations

17.

Popel, Martin, et al.. (2011). Influence of Parser Choice on Dependency-Based MT. Workshop on Statistical Machine Translation. 433–439. 6 indexed citations

18.

Mareček, David, et al.. (2011). Two-step translation with grammatical post-processing. Workshop on Statistical Machine Translation. 426–432. 21 indexed citations

19.

Žabokrtský, Zdeněk, Martin Popel, & David Mareček. (2010). Maximum Entropy Translation Model in Dependency-Based MT Framework. Workshop on Statistical Machine Translation. 201–206. 16 indexed citations

20.

Bojar, Ondřej, et al.. (2010). Tackling Sparse Data Issue in Machine Translation Evaluation. Meeting of the Association for Computational Linguistics. 86–91. 10 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.

Explore authors with similar magnitude of impact