Jan Romportl
- Artificial Intelligence top 10%
- Signal Processing top 10%
- Experimental and Cognitive Psychology
- Computer Vision and Pattern Recognition
- Social Psychology
- Co-authors
- Jindřich MatoušekDaniel TihelkaJozef KelemenPavel IrcingJiří KalaJán ŠvecJosef PsutkaAntonín Škoch
- Topics
- Speech Recognition and Synthesis (16 papers)Natural Language Processing Techniques (11 papers)Speech and dialogue systems (10 papers)
- Journals
- SHILAP Revista de lepidopterologíaBioMed Research InternationalLanguage Resources and Evaluation
- Partner nations
- Czechia
In The Last Decade
Jan Romportl
30 papers receiving 143 citations
Peers
Comparison fields: 5 of 60
- Artificial Intelligence 125
- Signal Processing 48
- Experimental and Cognitive Psychology 20
- Computer Vision and Pattern Recognition 17
- Social Psychology 14
Countries citing papers authored by Jan Romportl
This map shows the geographic impact of Jan Romportl'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 Jan Romportl with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jan Romportl more than expected).
Fields of papers citing papers by Jan Romportl
This network shows the impact of papers produced by Jan Romportl. 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 Jan Romportl. The network helps show where Jan Romportl may publish in the future.
Co-authorship network of co-authors of Jan Romportl
This figure shows the co-authorship network connecting the top 25 collaborators of Jan Romportl. A scholar is included among the top collaborators of Jan Romportl 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 Jan Romportl. Jan Romportl is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 17 | |
| 2 | 10 | |
| 3 | Prague DaTabase of Spoken Czech 1.0 | 1 |
| 4 | Beyond Artificial Intelligence: The Disappearing Human-Machine Divide | 5 |
| 5 | 1 | |
| 6 | 15 | |
| 7 | 3 | |
| 8 | Slovak Unit-Selection Speech Synthesis: Creating a New Slovak Voice within a Czech TTS System ARTIC | 1 |
| 9 | Application of expressive TTS synthesis in an advanced ECA system | 1 |
| 10 | 1 | |
| 11 | On the Objectivity of Prosodic Phrases | 2 |
| 12 | Building of a speech corpus optimised for unit selection TTS synthesis | 21 |
| 13 | 4 | |
| 14 | Speech synthesis and emotions: a compromise between flexibility and believability | 2 |
| 15 | 15 | |
| 16 | Prosody modelling in czech text-to-speech synthesis | 7 |
| 17 | On building phonetically and prosodically rich speech corpus for text-to-speech synthesis | 9 |
| 18 | 8 | |
| 19 | 4 | |
| 20 | 4 |
About Jan Romportl
Jan Romportl is a scholar working on Artificial Intelligence, Signal Processing and Experimental and Cognitive Psychology, having authored 32 papers that have together received 176 indexed citations. Recurring topics across this work include Speech Recognition and Synthesis (16 papers), Natural Language Processing Techniques (11 papers) and Speech and dialogue systems (10 papers). The work is most often cited by research in Signal Processing (48 citations), Artificial Intelligence (125 citations) and Experimental and Cognitive Psychology (20 citations). Jan Romportl has collaborated with scholars based in Czechia. Frequent co-authors include Jindřich Matoušek, Daniel Tihelka, Jozef Kelemen, Pavel Ircing, Jiří Kala, Ján Švec, Josef Psutka, Antonín Škoch, Tereza Nekovářová and Jaroslav Hlinka. Their work appears in journals such as SHILAP Revista de lepidopterología, BioMed Research International and Language Resources and Evaluation.
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.