Daniel Tihelka
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
-
- Speech Recognition and Synthesis 31
- Natural Language Processing Techniques 12
- Speech and dialogue systems 11
-
- Speech and Audio Processing 16
- Music and Audio Processing 5
- Co-authors
- Jindřich Matoušek (35 shared papers)Jan Romportl (8 shared papers)Josef Psutka (3 shared papers)Jiří Kala (1 shared paper)Ján Švec (4 shared papers)Martin Grůber (5 shared papers)Pavel Ircing (1 shared paper)
- Journals
- Language Resources and Evaluation (3 papers)Computer Speech & Language (1 paper)IEEE Access (1 paper)Speech Communication (1 paper)IEEE/ACM Transactions on Audio Speech and Language Processing (1 paper)
- Partner nations
- Czechia
In The Last Decade
Daniel Tihelka
41 papers receiving 208 citations
Peers
Comparison fields: 5 of 36
- Signal Processing 111
- Artificial Intelligence 197
- Experimental and Cognitive Psychology 40
- Computer Vision and Pattern Recognition 30
- Language and Linguistics 15
Countries citing papers authored by Daniel Tihelka
This map shows the geographic impact of Daniel Tihelka'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 Daniel Tihelka with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Daniel Tihelka more than expected).
Fields of papers citing papers by Daniel Tihelka
This network shows the impact of papers produced by Daniel Tihelka. 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 Daniel Tihelka. The network helps show where Daniel Tihelka may publish in the future.
Co-authors
The 7 scholars most cited alongside Daniel Tihelka, 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 44 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2003 | 30 | |
| 2 | 2008 | 21 | |
| 3 | 2019 | 18 | |
| 4 | 2010 | 18 | |
| 5 | 2004 | 15 | |
| 6 | 2008 | 12 | |
| 7 | 2006 | 9 | |
| 8 | 2021 | 8 | |
| 9 | 2011 | 8 | |
| 10 | 2017 | 8 | |
| 11 | 2004 | 7 | |
| 12 | 2007 | 7 | |
| 13 | 2018 | 7 | |
| 14 | 2019 | 6 | |
| 15 | 2023 | 5 | |
| 16 | 2010 | 4 | |
| 17 | 2003 | 4 | |
| 18 | 2005 | 4 | |
| 19 | 2008 | 4 | |
| 20 | 2019 | 4 |
About Daniel Tihelka
Daniel Tihelka is a scholar working on Artificial Intelligence, Signal Processing, Computer Vision and Pattern Recognition, Experimental and Cognitive Psychology and Physiology, having authored 44 papers that have together received 242 indexed citations. Recurring topics across this work include Speech Recognition and Synthesis (31 papers), Speech and Audio Processing (16 papers), Natural Language Processing Techniques (12 papers), Speech and dialogue systems (11 papers), Phonetics and Phonology Research (6 papers), Advanced Data Compression Techniques (6 papers), Music and Audio Processing (5 papers) and Voice and Speech Disorders (5 papers). The work is most often cited by research in Signal Processing (111 citations), Artificial Intelligence (197 citations), Experimental and Cognitive Psychology (40 citations), Computer Vision and Pattern Recognition (30 citations) and Language and Linguistics (15 citations). Daniel Tihelka has collaborated with scholars based in Czechia. Frequent co-authors include Jindřich Matoušek, Jan Romportl, Josef Psutka, Jiří Kala, Ján Švec, Martin Grůber and Pavel Ircing. Their work appears in journals such as Language Resources and Evaluation, Computer Speech & Language, IEEE Access, Speech Communication and IEEE/ACM Transactions on Audio Speech and Language Processing.
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.