Jindřich Helcl

932 total citations
16 papers, 304 citations indexed

About

Jindřich Helcl is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Molecular Biology. According to data from OpenAlex, Jindřich Helcl has authored 16 papers receiving a total of 304 indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Artificial Intelligence, 8 papers in Computer Vision and Pattern Recognition and 1 paper in Molecular Biology. Recurrent topics in Jindřich Helcl's work include Natural Language Processing Techniques (13 papers), Topic Modeling (13 papers) and Multimodal Machine Learning Applications (7 papers). Jindřich Helcl is often cited by papers focused on Natural Language Processing Techniques (13 papers), Topic Modeling (13 papers) and Multimodal Machine Learning Applications (7 papers). Jindřich Helcl collaborates with scholars based in Czechia, United Kingdom and France. Jindřich Helcl's co-authors include Jindřich Libovický, Alexandra Birch, Barry Haddow, Antonio Valerio Miceli Barone, Dušan Variš, Rachel Bawden, Rico Sennrich, Eleftherios Avramidis, Aljoscha Burchardt and Vivien Macketanz and has published in prestigious journals such as SHILAP Revista de lepidopterología, Computational Linguistics and Cybernetics and Information Technologies.

In The Last Decade

Jindřich Helcl

15 papers receiving 277 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Jindřich Helcl Czechia	9	282	126	12	11	11	16	304
Huda Khayrallah United States	8	263 0.9×	114 0.9×	17 1.4×	8 0.7×	7 0.6×	17	284
Julian Hitschler Germany	4	239 0.8×	108 0.9×	21 1.8×	9 0.8×	6 0.5×	7	256
Roman Grundkiewicz United Kingdom	9	372 1.3×	71 0.6×	26 2.2×	11 1.0×	9 0.8×	24	400
Stig-Arne Grönroos Finland	9	335 1.2×	91 0.7×	11 0.9×	13 1.2×	23 2.1×	23	358
Markus Freitag Germany	11	469 1.7×	92 0.7×	31 2.6×	14 1.3×	12 1.1×	38	492
Miquel Esplà-Gomis Spain	9	255 0.9×	56 0.4×	28 2.3×	10 0.9×	18 1.6×	37	275
Raj Dabre Japan	12	486 1.7×	198 1.6×	16 1.3×	13 1.2×	31 2.8×	70	527
Maria Nădejde United Kingdom	10	369 1.3×	112 0.9×	25 2.1×	21 1.9×	12 1.1×	21	391
Jason Riesa United States	9	231 0.8×	44 0.3×	11 0.9×	7 0.6×	13 1.2×	14	250
Win Pa Pa Myanmar	9	208 0.7×	74 0.6×	8 0.7×	5 0.5×	19 1.7×	39	228

Countries citing papers authored by Jindřich Helcl

Since Specialization

Citations

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

Fields of papers citing papers by Jindřich Helcl

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jindřich Helcl

This figure shows the co-authorship network connecting the top 25 collaborators of Jindřich Helcl. A scholar is included among the top collaborators of Jindřich Helcl 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 Jindřich Helcl. Jindřich Helcl 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:

16 of 16 papers shown

Helcl, Jindřich, et al.. (2024). Teaching LLMs at Charles University: Assignments and Activities. 69–72.

Haddow, Barry, Rachel Bawden, Antonio Valerio Miceli Barone, Jindřich Helcl, & Alexandra Birch. (2022). Survey of Low-Resource Machine Translation. Zenodo (CERN European Organization for Nuclear Research). 12 indexed citations

Haddow, Barry, Rachel Bawden, Antonio Valerio Miceli Barone, Jindřich Helcl, & Alexandra Birch. (2022). Survey of Low-Resource Machine Translation. Computational Linguistics. 48(3). 673–732. 48 indexed citations

Helcl, Jindřich, Barry Haddow, & Alexandra Birch. (2022). Non-Autoregressive Machine Translation: It’s Not as Fast as it Seems. Proceedings of the 2022 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies. 1780–1790. 8 indexed citations

Chen, et al.. (2021). The University of Edinburgh's English-German and English-Hausa Submissions to the WMT21 News Translation Task. Zenodo (CERN European Organization for Nuclear Research). 7 indexed citations

Libovický, Jindřich, et al.. (2020). Expand and Filter: CUNI and LMU Systems for the WNGT 2020 Duolingo Shared Task. Edinburgh Research Explorer. 153–160. 1 indexed citations

Helcl, Jindřich, Jindřich Libovický, & Martin Popel. (2019). Edinburgh Research Explorer. 5 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

Helcl, Jindřich, et al.. (2018). Neural Monkey: The Current State and Beyond. Edinburgh Research Explorer (University of Edinburgh). 1. 168–176. 4 indexed citations

10.

Libovický, Jindřich & Jindřich Helcl. (2018). End-to-End Non-Autoregressive Neural Machine Translation with Connectionist Temporal Classification. Edinburgh Research Explorer. 71 indexed citations

11.

Helcl, Jindřich & Jindřich Libovický. (2017). Neural Monkey: An Open-source Tool for Sequence Learning. SHILAP Revista de lepidopterología. 107(1). 5–17. 21 indexed citations

12.

Macketanz, Vivien, Eleftherios Avramidis, Aljoscha Burchardt, Jindřich Helcl, & Ankit Srivastava. (2017). Machine Translation: Phrase-Based, Rule-Based and Neural Approaches with Linguistic Evaluation. Cybernetics and Information Technologies. 17(2). 28–43. 23 indexed citations

13.

Helcl, Jindřich, Jindřich Libovický, & Dušan Variš. (2017). Edinburgh Research Explorer. 35 indexed citations

14.

Bojar, Ondřej, et al.. (2017). Results of the WMT17 Neural MT Training Task. Edinburgh Research Explorer. 525–533. 19 indexed citations

15.

Barone, Antonio Valerio Miceli, Jindřich Helcl, Rico Sennrich, Barry Haddow, & Alexandra Birch. (2017). . Edinburgh Research Explorer. 42 indexed citations

16.

Avramidis, Eleftherios, Vivien Macketanz, Aljoscha Burchardt, Jindřich Helcl, & Hans Uszkoreit. (2016). Deeper Machine Translation and Evaluation for German. 29–38. 4 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