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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- Speech Recognition and Synthesis 21
- Natural Language Processing Techniques 18
- Speech and dialogue systems 11
- Topic Modeling 10
- Co-authors
- Vladimír Šindelář (10 shared papers)Marek Nečas (5 shared papers)Veronika Novakova (7 shared papers)Michal Dušek (2 shared papers)Michaela Wimmerová (2 shared papers)Petr Zimčík (5 shared papers)B. Buděšínský (4 shared papers)Václav Havel (1 shared paper)
- Journals
- Language Resources and Evaluation (3 papers)Chemistry - A European Journal (3 papers)Analytica Chimica Acta (2 papers)Israel Journal of Chemistry (1 paper)Dalton Transactions (1 paper)
- Partner nations
- CzechiaCanadaUnited States
In The Last Decade
Ján Švec
64 papers receiving 1.0k citations
Peers
Comparison fields: 5 of 88
- Physical and Theoretical Chemistry 287
- Spectroscopy 432
- Organic Chemistry 486
- Bioengineering 53
- Materials Chemistry 387
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 72 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2010 | 198 | |
| 2 | 2011 | 100 | |
| 3 | 2015 | 95 | |
| 4 | 2011 | 75 | |
| 5 | 2017 | 52 | |
| 6 | 2011 | 42 | |
| 7 | 2018 | 39 | |
| 8 | 2015 | 39 | |
| 9 | 2009 | 37 | |
| 10 | 2010 | 37 | |
| 11 | 2015 | 31 | |
| 12 | 2014 | 26 | |
| 13 | Automatic punctuation annotation in czech broadcast news speech | 2004 | 22 |
| 14 | 2016 | 22 | |
| 15 | 2019 | 17 | |
| 16 | 1971 | 16 | |
| 17 | 1971 | 12 | |
| 18 | 2011 | 10 | |
| 19 | 2011 | 10 | |
| 20 | 2016 | 9 |
About Ján Švec
Ján Švec is a scholar working on Artificial Intelligence, Signal Processing, Physical and Theoretical Chemistry, Spectroscopy and Organic Chemistry, having authored 72 papers that have together received 1.0k indexed citations. Recurring topics across this work include Speech Recognition and Synthesis (21 papers), Natural Language Processing Techniques (18 papers), Speech and dialogue systems (11 papers), Topic Modeling (10 papers), Molecular Sensors and Ion Detection (9 papers), Supramolecular Chemistry and Complexes (8 papers), Luminescence and Fluorescent Materials (6 papers) and Porphyrin and Phthalocyanine Chemistry (6 papers). The work is most often cited by research in Physical and Theoretical Chemistry (287 citations), Spectroscopy (432 citations), Organic Chemistry (486 citations), Bioengineering (53 citations) and Materials Chemistry (387 citations). Ján Švec has collaborated with scholars based in Czechia, Canada and United States. Frequent co-authors include Vladimír Šindelář, Marek Nečas, Veronika Novakova, Michal Dušek, Michaela Wimmerová, Petr Zimčík, B. Buděšínský, Václav Havel, Michaela Pojarová and Miroslav Miletín. Their work appears in journals such as Language Resources and Evaluation, Chemistry - A European Journal, Analytica Chimica Acta, Israel Journal of Chemistry and Dalton Transactions.
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.