Martin Popel

2.7k total citations
54 papers, 825 citations indexed

About

Martin Popel is a scholar working on Artificial Intelligence, Information Systems and Computer Vision and Pattern Recognition. According to data from OpenAlex, Martin Popel has authored 54 papers receiving a total of 825 indexed citations (citations by other indexed papers that have themselves been cited), including 49 papers in Artificial Intelligence, 6 papers in Information Systems and 5 papers in Computer Vision and Pattern Recognition. Recurrent topics in Martin Popel's work include Natural Language Processing Techniques (47 papers), Topic Modeling (36 papers) and Text Readability and Simplification (12 papers). Martin Popel is often cited by papers focused on Natural Language Processing Techniques (47 papers), Topic Modeling (36 papers) and Text Readability and Simplification (12 papers). Martin Popel collaborates with scholars based in Czechia, United States and Germany. Martin Popel's co-authors include Ondřej Bojar, Zdeněk Žabokrtský, Daniel Zeman, David Mareček, Jan Hajič, Łukasz Kaiser, Markéta Tomková, Jakob Uszkoreit, Jakub Tomek and Slav Petrov and has published in prestigious journals such as Nature Communications, SHILAP Revista de lepidopterología and Artificial Intelligence in Medicine.

In The Last Decade

Martin Popel

46 papers receiving 709 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Martin Popel Czechia	14	700	128	63	55	41	54	825
Zdeněk Žabokrtský Czechia	17	965 1.4×	65 0.5×	117 1.9×	59 1.1×	45 1.1×	85	1.1k
Macduff Hughes United States	2	805 1.1×	362 2.8×	32 0.5×	36 0.7×	42 1.0×	3	933
Chenhui Chu Japan	14	604 0.9×	286 2.2×	21 0.3×	40 0.7×	35 0.9×	92	755
José A. R. Fonollosa Spain	17	974 1.4×	211 1.6×	42 0.7×	45 0.8×	58 1.4×	91	1.1k
Tiago Pimentel Switzerland	11	234 0.3×	43 0.3×	11 0.2×	17 0.3×	39 1.0×	39	336
Aleksandr Drozd Japan	11	378 0.5×	55 0.4×	12 0.2×	29 0.5×	49 1.2×	28	477
Alan Blair Australia	13	412 0.6×	84 0.7×	5 0.1×	34 0.6×	28 0.7×	48	583
Toshiyuki Takezawa Japan	15	860 1.2×	72 0.6×	29 0.5×	29 0.5×	49 1.2×	78	1.0k
James Clarke United Kingdom	12	872 1.2×	158 1.2×	7 0.1×	62 1.1×	70 1.7×	26	1.1k
Orhan Fırat United States	15	1.2k 1.8×	541 4.2×	26 0.4×	36 0.7×	54 1.3×	49	1.4k

Countries citing papers authored by Martin Popel

Since Specialization

Citations

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

Fields of papers citing papers by Martin Popel

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Martin Popel

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

Novák, Michal, Miloslav Konopík, Anna Nedoluzhko, et al.. (2025). Findings of the Fourth Shared Task on Multilingual Coreference Resolution: Can LLMs Dethrone Traditional Approaches?. 95–118.

Popel, Martin, et al.. (2023). CUNI at WMT23 General Translation Task: MT and a Genetic Algorithm. 119–127. 1 indexed citations

Novák, Michal, Anna Nedoluzhko, Martin Popel, Zdeněk Žabokrtský, & Daniel Zeman. (2021). Do UD Trees Match Mention Spans in Coreference Annotations?.

Germann, Ulrich, et al.. (2020). Speed-optimized, Compact Student Models that Distill Knowledge from a Larger Teacher Model: the UEDIN-CUNI Submission to the WMT 2020 News Translation Task. Edinburgh Research Explorer (University of Edinburgh). 191–196. 1 indexed citations

Popel, Martin. (2020). CUNI English-Czech and English-Polish Systems in WMT20: Robust Document-Level Training. Empirical Methods in Natural Language Processing. 269–273. 4 indexed citations

Zeman, Daniel, Jan Hajič, Martin Popel, et al.. (2018). CoNLL 2018 Shared Task : Multilingual Parsing from Raw Text to Universal Dependencies. 1–21. 96 indexed citations

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

Branco, António, Jan Hajič, Martin Popel, et al.. (2016). QTLeap WSD/NED Corpora: Semantic Annotation of Parallel Corpora in Six Languages. Language Resources and Evaluation. 3023–3030. 7 indexed citations

Avramidis, Eleftherios, et al.. (2016). Tools and Guidelines for Principled Machine Translation Development. Language Resources and Evaluation. 1877–1882. 4 indexed citations

10.

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

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

12.

Tamchyna, Aleš, Martin Popel, Rudolf Rosa, & Ondřej Bojar. (2014). CUNI in WMT14: Chimera Still Awaits Bellerophon. 195–200. 7 indexed citations

13.

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

14.

Popel, Martin, et al.. (2013). PhraseFix: Statistical Post-Editing of TectoMT. Workshop on Statistical Machine Translation. 141–147. 5 indexed citations

15.

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

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

18.

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

19.

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

20.

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

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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