Ján Švec

1.5k total citations
72 papers, 1.0k citations indexed

About

Ján Švec is a scholar working on Artificial Intelligence, Organic Chemistry and Materials Chemistry. According to data from OpenAlex, Ján Švec has authored 72 papers receiving a total of 1.0k indexed citations (citations by other indexed papers that have themselves been cited), including 29 papers in Artificial Intelligence, 12 papers in Organic Chemistry and 12 papers in Materials Chemistry. Recurrent topics in Ján Švec's work include Speech Recognition and Synthesis (21 papers), Natural Language Processing Techniques (18 papers) and Speech and dialogue systems (11 papers). Ján Švec is often cited by papers focused on Speech Recognition and Synthesis (21 papers), Natural Language Processing Techniques (18 papers) and Speech and dialogue systems (11 papers). Ján Švec collaborates with scholars based in Czechia, Canada and United States. Ján Švec's co-authors include Vladimír Šindelář, Marek Nečas, Veronika Novakova, Michal Dušek, Michaela Wimmerová, Petr Zimčík, B. Buděšínský, Michaela Pojarová, Václav Havel and Miroslav Miletín and has published in prestigious journals such as Journal of the American Chemical Society, Angewandte Chemie International Edition and Journal of Medicinal Chemistry.

In The Last Decade

Ján Švec

64 papers receiving 1.0k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Ján Švec Czechia 16 486 432 387 287 113 72 1.0k
Yong Shen China 18 159 0.3× 179 0.4× 416 1.1× 38 0.1× 214 1.9× 72 1.2k
Tomoki Yoneda Japan 20 532 1.1× 107 0.2× 735 1.9× 61 0.2× 12 0.1× 82 1.1k
Richard M. Hartshorn New Zealand 16 456 0.9× 92 0.2× 320 0.8× 84 0.3× 25 0.2× 69 1.2k
Katsuya Ishiguro Japan 18 617 1.3× 73 0.2× 244 0.6× 271 0.9× 16 0.1× 40 934
Jin‐Wang Huang China 18 232 0.5× 77 0.2× 587 1.5× 49 0.2× 15 0.1× 70 920
Andrew J. Neel United States 10 1.0k 2.1× 190 0.4× 254 0.7× 161 0.6× 26 0.2× 20 1.6k
A. Ghanadzadeh Iran 26 356 0.7× 273 0.6× 536 1.4× 487 1.7× 4 0.0× 69 1.5k
Pierre Sutra France 17 308 0.6× 68 0.2× 479 1.2× 63 0.2× 23 0.2× 43 1.0k
Boddu Ananda Rao India 20 318 0.7× 594 1.4× 449 1.2× 21 0.1× 7 0.1× 46 1.1k

Countries citing papers authored by Ján Švec

Since Specialization
Citations

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

Fields of papers citing papers by Ján Švec

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ján Švec

This figure shows the co-authorship network connecting the top 25 collaborators of Ján Švec. A scholar is included among the top collaborators of Ján Švec 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 Ján Švec. Ján Švec 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.
Matoušek, Jindřich, et al.. (2025). Three Years of VoiceMOS Challenges: Lessons Learned by the UWB-NTIS-TTS Team. IEEE Access. 13. 140152–140174.
2.
Švec, Ján, et al.. (2025). Spine surgery and major blood loss: how accurate is suction canister estimation?. European Spine Journal.
3.
Švec, Ján, et al.. (2023). Fracture Liaison Service: pilot project in FH Královské Vinohrady. 28(1-2). 6–10.
4.
Matoušek, Jindřich, et al.. (2023). Ensemble of Deep Neural Network Models for MOS Prediction. 1–5. 3 indexed citations
5.
Švec, Ján, et al.. (2023). Is it Possible to Re-Educate Roberta? Expert-Driven Machine Learning for Punctuation Correction. Journal of Linguistics/Jazykovedný casopis. 74(1). 357–368.
6.
Švec, Ján, et al.. (2022). Exploring Capabilities of Monolingual Audio Transformers using Large Datasets in Automatic Speech Recognition of Czech. arXiv (Cornell University). 3 indexed citations
7.
Švec, Ján, et al.. (2019). Multimodal Dialog with the MALACH Audiovisual Archive.. Digital Library (University of West Bohemia). 3663–3664. 1 indexed citations
8.
Borisov, Sergey M., et al.. (2018). New red-emitting Schiff base chelates: promising dyes for sensing and imaging of temperature and oxygen via phosphorescence decay time. Journal of Materials Chemistry C. 6(33). 8999–9009. 39 indexed citations
9.
Švec, Ján, et al.. (2016). An Engine for Online Video Search in Large Archives of the Holocaust Testimonies.. Conference of the International Speech Communication Association. 2352–2353. 1 indexed citations
10.
Švec, Ján, et al.. (2016). A Multimodal Dialogue System for Air Traffic Control Trainees Based on Discrete-Event Simulation.. Conference of the International Speech Communication Association. 379–380. 3 indexed citations
11.
Švec, Ján, et al.. (2016). An Automatic Training Tool for Air Traffic Control Training.. Conference of the International Speech Communication Association. 782–783. 1 indexed citations
12.
Švec, Ján, et al.. (2015). Slavonic Corpus for Stylometry Research. 11–21. 1 indexed citations
13.
Macháček, Miloslav, Veronika Novakova, Ján Švec, et al.. (2015). Far-Red-Absorbing Cationic Phthalocyanine Photosensitizers: Synthesis and Evaluation of the Photodynamic Anticancer Activity and the Mode of Cell Death Induction. Journal of Medicinal Chemistry. 58(4). 1736–1749. 95 indexed citations
14.
Valenta, Tomáš, et al.. (2014). Inter-Annotator Agreement on Spontaneous Czech Language - Limits of Automatic Speech Recognition Accuracy.. 390–397. 1 indexed citations
15.
Švec, Ján, Michal Dušek, Peter Štacko, et al.. (2011). Anion‐Free Bambus[6]uril and Its Supramolecular Properties. Chemistry - A European Journal. 17(20). 5605–5612. 75 indexed citations
16.
Havel, Václav, Ján Švec, Michaela Wimmerová, et al.. (2011). Bambus[n]urils: a New Family of Macrocyclic Anion Receptors. Organic Letters. 13(15). 4000–4003. 100 indexed citations
17.
Marek, Radek, et al.. (2009). Electron Density Shift in Imidazolium Derivatives upon Complexation with Cucurbit[6]uril. Chemistry - A European Journal. 15(28). 6926–6931. 37 indexed citations
18.
Švec, Ján, et al.. (2008). Structural Metadata Annotation of Speech Corpora: Comparing Broadcast News and Broadcast Conversations. Language Resources and Evaluation. 3 indexed citations
19.
Švec, Ján, et al.. (2005). Czech spontaneous speech corpus with structural metadata. 1165–1168. 4 indexed citations
20.
Buděšínský, B. & Ján Švec. (1972). Stabilities of some cyclopentadienide metal complexes. Talanta. 19(1). 82–87. 8 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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