Ján Švec
Impact in
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- Crystallography and molecular interactions
- Spectroscopy top 2%
- Molecular Sensors and Ion Detection
Papers in
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- Natural Language Processing Techniques 45
- Speech Recognition and Synthesis 37
- Topic Modeling 28
- Speech and dialogue systems 24
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- Speech and Audio Processing 11
- Music and Audio Processing 8
- Co-authors
- Vladimír Šindelář (10 shared papers)Marek Nečas (5 shared papers)Veronika Novakova (7 shared papers)Pavel Ircing (22 shared papers)Michaela Wimmerová (2 shared papers)Michal Dušek (2 shared papers)Petr Zimčík (5 shared papers)Josef Psutka (13 shared papers)
- Journals
- Lecture notes in computer science (39 papers)Language Resources and Evaluation (4 papers)Chemistry - A European Journal (3 papers)Analytica Chimica Acta (2 papers)Dyes and Pigments (1 paper)
- Partner nations
- CzechiaUnited StatesCanada
In The Last Decade
Ján Švec
105 papers receiving 1.3k citations
Peers
Comparison fields: 5 of 102
- Physical and Theoretical Chemistry 303
- Spectroscopy 451
- Organic Chemistry 514
- Bioengineering 54
- Artificial Intelligence 314
Countries citing papers authored by Ján Švec
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
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-authors
The 25 scholars most cited alongside Ján Švec, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 115 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2010 | 209 | |
| 2 | 2011 | 107 | |
| 3 | 2015 | 98 | |
| 4 | 2011 | 78 | |
| 5 | 2017 | 53 | |
| 6 | 2011 | 46 | |
| 7 | 2018 | 43 | |
| 8 | 2015 | 42 | |
| 9 | 2009 | 38 | |
| 10 | 2010 | 38 | |
| 11 | 2015 | 31 | |
| 12 | 2014 | 29 | |
| 13 | Automatic punctuation annotation in czech broadcast news speech | 2004 | 28 |
| 14 | 2011 | 26 | |
| 15 | 2016 | 22 | |
| 16 | 2019 | 19 | |
| 17 | 2011 | 17 | |
| 18 | 1971 | 16 | |
| 19 | 2021 | 14 | |
| 20 | 2008 | 14 |
About Ján Švec
Ján Švec is a scholar working on Artificial Intelligence, Signal Processing, Organic Chemistry, Materials Chemistry and Spectroscopy, having authored 115 papers that have together received 1.3k indexed citations. Recurring topics across this work include Natural Language Processing Techniques (45 papers), Speech Recognition and Synthesis (37 papers), Topic Modeling (28 papers), Speech and dialogue systems (24 papers), Speech and Audio Processing (11 papers), Molecular Sensors and Ion Detection (9 papers), Supramolecular Chemistry and Complexes (8 papers) and Music and Audio Processing (8 papers). The work is most often cited by research in Physical and Theoretical Chemistry (303 citations), Spectroscopy (451 citations), Organic Chemistry (514 citations), Bioengineering (54 citations) and Artificial Intelligence (314 citations). Ján Švec has collaborated with scholars based in Czechia, United States and Canada. Frequent co-authors include Vladimír Šindelář, Marek Nečas, Veronika Novakova, Pavel Ircing, Michaela Wimmerová, Michal Dušek, Petr Zimčík, Josef Psutka, B. Buděšínský and Václav Havel. Their work appears in journals such as Lecture notes in computer science, Language Resources and Evaluation, Chemistry - A European Journal, Analytica Chimica Acta and Dyes and Pigments.
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.