Ondřej Klejch
- Artificial Intelligence top 10%
- Signal Processing top 10%
- Computer Vision and Pattern Recognition
- Information Systems
- Experimental and Cognitive Psychology
- Co-authors
- Peter BellSteve RenalsPaweł ŚwiętojańskiJinyu LiSimon RobinsonMartin PopelThomas ReitmaierMatt Jones
- Topics
- Speech Recognition and Synthesis (13 papers)Speech and Audio Processing (9 papers)Natural Language Processing Techniques (8 papers)
- Journals
- SHILAP Revista de lepidopterologíaLanguage Resources and EvaluationIEEE Open Journal of Signal Processing
- Partner nations
- United KingdomUnited StatesGermany
In The Last Decade
Ondřej Klejch
22 papers receiving 183 citations
Peers
Comparison fields: 5 of 39
- Artificial Intelligence 174
- Signal Processing 77
- Computer Vision and Pattern Recognition 19
- Information Systems 16
- Experimental and Cognitive Psychology 15
Countries citing papers authored by Ondřej Klejch
This map shows the geographic impact of Ondřej Klejch'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 Klejch with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ondřej Klejch more than expected).
Fields of papers citing papers by Ondřej Klejch
This network shows the impact of papers produced by Ondřej Klejch. 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 Klejch. The network helps show where Ondřej Klejch may publish in the future.
Co-authorship network of co-authors of Ondřej Klejch
This figure shows the co-authorship network connecting the top 25 collaborators of Ondřej Klejch. A scholar is included among the top collaborators of Ondřej Klejch 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 Klejch. Ondřej Klejch is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 2 | |
| 3 | 1 | |
| 4 | 0 | |
| 5 | 4 | |
| 6 | 10 | |
| 7 | 11 | |
| 8 | 3 | |
| 9 | 2 | |
| 10 | 7 | |
| 11 | 7 | |
| 12 | 20 | |
| 13 | 5 | |
| 14 | 7 | |
| 15 | 41 | |
| 16 | 8 | |
| 17 | 8 | |
| 18 | Tools and Guidelines for Principled Machine Translation Development | 4 |
| 19 | 21 | |
| 20 | 11 |
About Ondřej Klejch
Ondřej Klejch is a scholar working on Signal Processing, Artificial Intelligence and Human-Computer Interaction, having authored 23 papers that have together received 210 indexed citations. Recurring topics across this work include Speech Recognition and Synthesis (13 papers), Speech and Audio Processing (9 papers) and Natural Language Processing Techniques (8 papers). The work is most often cited by research in Signal Processing (77 citations), Artificial Intelligence (174 citations) and Human-Computer Interaction (7 citations). Ondřej Klejch has collaborated with scholars based in United Kingdom, United States and Germany. Frequent co-authors include Peter Bell, Steve Renals, Paweł Świętojański, Jinyu Li, Simon Robinson, Martin Popel, Thomas Reitmaier, Matt Jones, Aljoscha Burchardt and Jennifer Pearson. Their work appears in journals such as SHILAP Revista de lepidopterología, Language Resources and Evaluation and IEEE Open Journal of Signal 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.