Petr Červa
Impact in
- Signal Processing top 5%
- Speech and Audio Processing
- Music and Audio Processing
- Artificial Intelligence top 10%
- Speech Recognition and Synthesis
- Natural Language Processing Techniques
- Speech and dialogue systems
- Topic Modeling
Papers in
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- Speech Recognition and Synthesis 35
- Natural Language Processing Techniques 13
- Speech and dialogue systems 6
- Cognitive Computing and Networks 2
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- Speech and Audio Processing 21
- Music and Audio Processing 14
- Co-authors
- Jindřich Žďánský (29 shared papers)Jan Nouza (30 shared papers)Jan Silovský (16 shared papers)Jiří Málek (8 shared papers)Torbjørn Svendsen (1 shared paper)Giampiero Salvi (1 shared paper)Zoraida Callejas (2 shared papers)Ramón López-Cózar (1 shared paper)
In The Last Decade
Petr Červa
39 papers receiving 162 citations
Peers
Comparison fields: 5 of 23
- Signal Processing 130
- Artificial Intelligence 159
- Experimental and Cognitive Psychology 12
- Music 3
- Human-Computer Interaction 5
Countries citing papers authored by Petr Červa
This map shows the geographic impact of Petr Červa'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 Petr Červa with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Petr Červa more than expected).
Fields of papers citing papers by Petr Červa
This network shows the impact of papers produced by Petr Červa. 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 Petr Červa. The network helps show where Petr Červa may publish in the future.
Co-authors
The 8 scholars most cited alongside Petr Červa, 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 43 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2013 | 14 | |
| 2 | 2010 | 12 | |
| 3 | 2005 | 11 | |
| 4 | 2012 | 10 | |
| 5 | 2016 | 10 | |
| 6 | 2018 | 8 | |
| 7 | 2011 | 8 | |
| 8 | 2014 | 7 | |
| 9 | 2006 | 7 | |
| 10 | 2008 | 6 | |
| 11 | 2017 | 5 | |
| 12 | 2012 | 5 | |
| 13 | 2012 | 5 | |
| 14 | 2007 | 5 | |
| 15 | 2013 | 4 | |
| 16 | 2014 | 4 | |
| 17 | 2009 | 4 | |
| 18 | 2024 | 4 | |
| 19 | Assessment of speaker recognition on lossy codecs used for transmission of speech | 2011 | 4 |
| 20 | 2015 | 4 |
About Petr Červa
Petr Červa is a scholar working on Artificial Intelligence, Signal Processing, Computer Vision and Pattern Recognition, Control and Systems Engineering and Human-Computer Interaction, having authored 43 papers that have together received 181 indexed citations. Recurring topics across this work include Speech Recognition and Synthesis (35 papers), Speech and Audio Processing (21 papers), Music and Audio Processing (14 papers), Natural Language Processing Techniques (13 papers), Speech and dialogue systems (6 papers), Advanced Data Compression Techniques (3 papers), Hand Gesture Recognition Systems (2 papers) and Cognitive Computing and Networks (2 papers). The work is most often cited by research in Signal Processing (130 citations), Artificial Intelligence (159 citations), Experimental and Cognitive Psychology (12 citations), Music (3 citations) and Human-Computer Interaction (5 citations). Petr Červa has collaborated with scholars based in Czechia, Spain and Norway. Frequent co-authors include Jindřich Žďánský, Jan Nouza, Jan Silovský, Jiří Málek, Torbjørn Svendsen, Giampiero Salvi, Zoraida Callejas and Ramón López-Cózar. Their work appears in journals such as Speech Communication, Computer Speech & Language, Journal of Multimedia, EURASIP Journal on Audio Speech and Music Processing and Procesamiento del lenguaje natural.
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.