This map shows the geographic impact of Rudolf Rosa'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 Rudolf Rosa with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Rudolf Rosa more than expected).
This network shows the impact of papers produced by Rudolf Rosa. 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 Rudolf Rosa. The network helps show where Rudolf Rosa may publish in the future.
Co-authorship network of co-authors of Rudolf Rosa
This figure shows the co-authorship network connecting the top 25 collaborators of Rudolf Rosa.
A scholar is included among the top collaborators of Rudolf Rosa 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 Rudolf Rosa. Rudolf Rosa is excluded from
the visualization to improve readability, since they are connected to all nodes in the network.
Libovický, Jindřich, Rudolf Rosa, Jindřich Helcl, & Martin Popel. (2018). Solving Three Czech NLP Tasks with End-to-end Neural Models.. 138–143.4 indexed citations
3.
Rosa, Rudolf & David Mareček. (2018). .12 indexed citations
4.
Rosa, Rudolf. (2018). Discovering the structure of natural language sentences by semi-supervised methods. Digital Repository (National Repository of Grey Literature).1 indexed citations
Rosa, Rudolf & Zdeněk Žabokrtský. (2017). Error Analysis of Cross-lingual Tagging and Parsing. IEEE Transactions on Learning Technologies. 106–118.1 indexed citations
8.
Rosa, Rudolf, Ondřej Dušek, Michal Novák, & Martin Popel. (2015). Translation Model Interpolation for Domain Adaptation in TectoMT. 89–96.4 indexed citations
Rosa, Rudolf, et al.. (2014). Improving Evaluation of English-Czech MT through Paraphrasing. Language Resources and Evaluation. 596–601.3 indexed citations
11.
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
Bojar, Ondřej, Rudolf Rosa, & Aleš Tamchyna. (2013). Chimera -- Three Heads for English-to-Czech Translation. Workshop on Statistical Machine Translation. 92–98.14 indexed citations
16.
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
17.
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
18.
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
19.
Rosa, Rudolf, et al.. (2011). Named entities from Wikipedia for machine translation.. 23–30.11 indexed citations
20.
Mareček, David, et al.. (2011). Two-step translation with grammatical post-processing. Workshop on Statistical Machine Translation. 426–432.21 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.