Lukáš Burget

16.5k total citations · 4 hit papers
202 papers, 10.2k citations indexed

About

Lukáš Burget is a scholar working on Artificial Intelligence, Signal Processing and Computer Vision and Pattern Recognition. According to data from OpenAlex, Lukáš Burget has authored 202 papers receiving a total of 10.2k indexed citations (citations by other indexed papers that have themselves been cited), including 175 papers in Artificial Intelligence, 126 papers in Signal Processing and 6 papers in Computer Vision and Pattern Recognition. Recurrent topics in Lukáš Burget's work include Speech Recognition and Synthesis (164 papers), Speech and Audio Processing (106 papers) and Music and Audio Processing (91 papers). Lukáš Burget is often cited by papers focused on Speech Recognition and Synthesis (164 papers), Speech and Audio Processing (106 papers) and Music and Audio Processing (91 papers). Lukáš Burget collaborates with scholars based in Czechia, United States and Germany. Lukáš Burget's co-authors include Jaň Černocký, Tomáš Mikolov, Martin Karafiát, Sanjeev Khudanpur, Stefan Kombrink, Ondřej Glembek, Pavel Matějka, Daniel Povey, Karel Veselý and Oldřich Plchot and has published in prestigious journals such as SHILAP Revista de lepidopterología, Brain Research and Monthly Notices of the Royal Astronomical Society.

In The Last Decade

Lukáš Burget

195 papers receiving 9.3k citations

Hit Papers

Recurrent neural network based language model 2010 2026 2015 2020 2010 2011 2013 2011 1000 2.0k 3.0k

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Lukáš Burget Czechia 43 8.1k 4.6k 1.3k 558 306 202 10.2k
Jaň Černocký Czechia 32 6.4k 0.8× 3.2k 0.7× 1.3k 0.9× 530 0.9× 295 1.0× 152 8.1k
Alex Acero United States 43 7.9k 1.0× 5.6k 1.2× 2.0k 1.5× 950 1.7× 475 1.6× 233 10.7k
Sanjeev Khudanpur United States 45 14.8k 1.8× 8.6k 1.9× 2.0k 1.5× 697 1.2× 451 1.5× 269 17.9k
Patrick Nguyen United States 17 5.7k 0.7× 3.5k 0.8× 1.7k 1.3× 252 0.5× 813 2.7× 55 8.9k
Mike Schuster United States 13 6.1k 0.8× 2.3k 0.5× 2.4k 1.8× 660 1.2× 676 2.2× 26 10.2k
Martin Karafiát Czechia 26 4.7k 0.6× 2.3k 0.5× 918 0.7× 412 0.7× 212 0.7× 77 5.9k
Karen Livescu United States 33 3.9k 0.5× 1.9k 0.4× 2.3k 1.7× 223 0.4× 290 0.9× 123 6.6k
Bo Xu China 35 4.4k 0.5× 1.3k 0.3× 951 0.7× 548 1.0× 850 2.8× 293 6.7k
Haşim Sak United States 25 3.4k 0.4× 2.1k 0.5× 690 0.5× 186 0.3× 425 1.4× 45 5.2k
Bhuvana Ramabhadran United States 34 4.4k 0.5× 2.7k 0.6× 938 0.7× 168 0.3× 205 0.7× 220 5.6k

Countries citing papers authored by Lukáš Burget

Since Specialization
Citations

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

Fields of papers citing papers by Lukáš Burget

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Lukáš Burget

This figure shows the co-authorship network connecting the top 25 collaborators of Lukáš Burget. A scholar is included among the top collaborators of Lukáš Burget 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 Lukáš Burget. Lukáš Burget is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Kocour, Martin, Federico Landini, Matthew Wiesner, et al.. (2025). DiCoW: Diarization-conditioned Whisper for target speaker automatic speech recognition. Computer Speech & Language. 95. 101841–101841.
2.
Landini, Federico, et al.. (2025). Leveraging Self-Supervised Learning for Speaker Diarization. 1–5. 1 indexed citations
3.
4.
Wiesner, Matthew, et al.. (2024). BUT/JHU System Description for CHiME-8 NOTSOFAR-1 Challenge. 18–22.
5.
6.
Burget, Lukáš, et al.. (2022). Spelling-Aware Word-Based End-to-End ASR. IEEE Signal Processing Letters. 29. 1729–1733. 1 indexed citations
7.
Burget, Lukáš, et al.. (2020). A Hierarchical Subspace Model for Language-Attuned Acoustic Unit\n Discovery. arXiv (Cornell University). 4 indexed citations
8.
Plchot, Oldřich, et al.. (2020). Learning Document Embeddings Along With Their Uncertainties. IEEE/ACM Transactions on Audio Speech and Language Processing. 28. 2319–2332. 4 indexed citations
9.
Matějka, Pavel, Ondřej Novotný, Oldřich Plchot, et al.. (2017). Analysis of Score Normalization in Multilingual Speaker Recognition. 1567–1571. 74 indexed citations
10.
Szöke, Igor, et al.. (2014). BUT QUESST 2014 System Description. MediaEval. 10 indexed citations
11.
Szöke, Igor, et al.. (2013). BUT SWS 2013 - Massive Parallel Approach. MediaEval. 7 indexed citations
12.
Veselý, Karel, Arnab Ghoshal, Lukáš Burget, & Daniel Povey. (2013). Sequence-discriminative training of deep neural networks. Edinburgh Research Explorer. 2345–2349. 458 indexed citations breakdown →
13.
Ferrer, Luciana, Lukáš Burget, Oldřich Plchot, & Nicolas Scheffer. (2012). A unified approach for audio characterization and its application to speaker recognition.. 317–323. 17 indexed citations
14.
Streuli, R, et al.. (2012). Spontaneous splenic rupture following plasmapheresis in a patient with refractory amiodarone-induced thyrotoxicosis. 15th International & 14th European Congress of Endocrinology. 29. 1 indexed citations
15.
Mikolov, Tomáš, Anoop Deoras, Daniel Povey, Lukáš Burget, & Jaň Černocký. (2011). Strategies for training large scale neural network language models. 196–201. 329 indexed citations breakdown →
16.
Mikolov, Tomáš, Oldřich Plchot, Ondřej Glembek, Lukáš Burget, & Jaň Černocký. (2010). PCA-based Feature Extraction for Phonotactic Language Recognition. 42. 14 indexed citations
17.
Plchot, Oldřich, Niko Brümmer, Lukáš Burget, et al.. (2010). Data selection and calibration issues in automatic language recognition - investigation with BUT-AGNITIO NIST LRE 2009 system.. 37. 21 indexed citations
18.
Gruendel, Sindy, Ada L. García, Martin Bidlingmaier, et al.. (2007). Increased acylated plasma ghrelin, but improved lipid profiles 24-h after consumption of carob pulp preparation rich in dietary fibre and polyphenols. British Journal Of Nutrition. 98(6). 1170–1177. 27 indexed citations
19.
Inge, Thomas H., Paul T. Pfluger, Meg H. Zeller, et al.. (2007). Gastric bypass surgery for treatment of hypothalamic obesity after craniopharyngioma therapy. Nature Clinical Practice Endocrinology & Metabolism. 3(8). 606–609. 58 indexed citations
20.
Jain, Prachi, et al.. (2002). Distributed Speech Recognition. SHILAP Revista de lepidopterología. 2 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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