Ondřej Dušek
- Artificial Intelligence top 5%
- Computer Vision and Pattern Recognition top 10%
- Molecular Biology
- Information Systems
- Language and Linguistics top 10%
- Co-authors
- Verena RieserJekaterina NovikovaFilip JurčíčekIoannis KonstasMartin PopelJan HajičDavid MarečekMichal Novák
- Topics
- Natural Language Processing Techniques (47 papers)Topic Modeling (44 papers)Speech and dialogue systems (19 papers)
- Journals
- SHILAP Revista de lepidopterologíaArtificial Intelligence in MedicineLanguage Resources and Evaluation
- Partner nations
- CzechiaUnited KingdomNetherlands
In The Last Decade
Ondřej Dušek
53 papers receiving 382 citations
Peers
Comparison fields: 5 of 48
- Artificial Intelligence 396
- Computer Vision and Pattern Recognition 66
- Molecular Biology 33
- Information Systems 30
- Language and Linguistics 24
Countries citing papers authored by Ondřej Dušek
This map shows the geographic impact of Ondřej Dušek'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 Ondřej Dušek with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ondřej Dušek more than expected).
Fields of papers citing papers by Ondřej Dušek
This network shows the impact of papers produced by Ondřej Dušek. 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 Ondřej Dušek. The network helps show where Ondřej Dušek may publish in the future.
Co-authorship network of co-authors of Ondřej Dušek
This figure shows the co-authorship network connecting the top 25 collaborators of Ondřej Dušek. A scholar is included among the top collaborators of Ondřej Dušek 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 Ondřej Dušek. Ondřej Dušek is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 0 | |
| 3 | 0 | |
| 4 | 4 | |
| 5 | 1 | |
| 6 | 3 | |
| 7 | 4 | |
| 8 | 1 | |
| 9 | 1 | |
| 10 | 1 | |
| 11 | 15 | |
| 12 | 1 | |
| 13 | Referenceless Quality Estimation for Natural Language Generation | 6 |
| 14 | 5 | |
| 15 | 0 | |
| 16 | Free English and Czech telephone speech corpus shared under the CC-BY-SA 3.0 license | 9 |
| 17 | 17 | |
| 18 | Multilingual Test Sets for Machine Translation of Search Queries for Cross-Lingual Information Retrieval in the Medical Domain | 2 |
| 19 | Robust multilingual statistical morphological generation models | 7 |
| 20 | The Joy of Parallelism with CzEng 1.0 | 33 |
About Ondřej Dušek
Ondřej Dušek is a scholar working on Artificial Intelligence, Human-Computer Interaction and Conservation, having authored 62 papers that have together received 443 indexed citations. Recurring topics across this work include Natural Language Processing Techniques (47 papers), Topic Modeling (44 papers) and Speech and dialogue systems (19 papers). The work is most often cited by research in Artificial Intelligence (396 citations), Health Informatics (5 citations) and Computer Vision and Pattern Recognition (66 citations). Ondřej Dušek has collaborated with scholars based in Czechia, United Kingdom and Netherlands. Frequent co-authors include Verena Rieser, Jekaterina Novikova, Filip Jurčíček, Ioannis Konstas, Martin Popel, Jan Hajič, David Mareček, Michal Novák, Zdeněk Žabokrtský and Zdeňka Urešová. Their work appears in journals such as SHILAP Revista de lepidopterología, Artificial Intelligence in Medicine 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.