Igor Szöke
- Artificial Intelligence top 2%
- Signal Processing top 1%
- Computer Vision and Pattern Recognition
- Cognitive Neuroscience
- Computational Mechanics
- Co-authors
- Jaň ČernockýLukáš BurgetMartin KarafiátFrantišek GrézlXavier AngueraAndi BuzoLuis Javier Rodríguez-FuentesFlorian Metze
- Topics
- Speech Recognition and Synthesis (31 papers)Speech and Audio Processing (20 papers)Music and Audio Processing (17 papers)
- Journals
- SHILAP Revista de lepidopterologíaIEEE Journal of Selected Topics in Signal ProcessingACM Transactions on Information Systems
- Partner nations
- CzechiaUnited StatesSpain
In The Last Decade
Igor Szöke
41 papers receiving 650 citations
Peers
Comparison fields: 5 of 41
- Artificial Intelligence 661
- Signal Processing 502
- Computer Vision and Pattern Recognition 57
- Cognitive Neuroscience 23
- Computational Mechanics 20
Countries citing papers authored by Igor Szöke
This map shows the geographic impact of Igor Szöke'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 Igor Szöke with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Igor Szöke more than expected).
Fields of papers citing papers by Igor Szöke
This network shows the impact of papers produced by Igor Szöke. 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 Igor Szöke. The network helps show where Igor Szöke may publish in the future.
Co-authorship network of co-authors of Igor Szöke
This figure shows the co-authorship network connecting the top 25 collaborators of Igor Szöke. A scholar is included among the top collaborators of Igor Szöke 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 Igor Szöke. Igor Szöke is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 8 | |
| 2 | 1 | |
| 3 | 4 | |
| 4 | 6 | |
| 5 | 13 | |
| 6 | 13 | |
| 7 | 1 | |
| 8 | Zero-Cost Speech Recognition Task at Mediaeval 2016. | 2 |
| 9 | Query by Example Search on Speech at Mediaeval 2015. | 20 |
| 10 | BUT QUESST 2015 System Description | 11 |
| 11 | 5 | |
| 12 | BUT QUESST 2014 System Description | 10 |
| 13 | Query by Example Search on Speech at Mediaeval 2014. | 47 |
| 14 | 20 | |
| 15 | BUT SWS 2013 - Massive Parallel Approach | 7 |
| 16 | 77 | |
| 17 | BUT2012 APPROACHES FOR SPOKEN WEB SEARCH - MEDIAEVAL 2012 | 8 |
| 18 | BUT-HCTLab APPROACHES FOR SPOKEN WEB SEARCH - MEDIAEVAL 2011 | 3 |
| 19 | 4 | |
| 20 | 16 |
About Igor Szöke
Igor Szöke is a scholar working on Signal Processing, Artificial Intelligence and Computer Science Applications, having authored 42 papers that have together received 734 indexed citations. Recurring topics across this work include Speech Recognition and Synthesis (31 papers), Speech and Audio Processing (20 papers) and Music and Audio Processing (17 papers). The work is most often cited by research in Signal Processing (502 citations), Artificial Intelligence (661 citations) and Computer Vision and Pattern Recognition (57 citations). Igor Szöke has collaborated with scholars based in Czechia, United States and Spain. Frequent co-authors include Jaň Černocký, Lukáš Burget, Martin Karafiát, František Grézl, Xavier Anguera, Andi Buzo, Luis Javier Rodríguez-Fuentes, Florian Metze, Karel Veselý and Petr Schwarz. Their work appears in journals such as SHILAP Revista de lepidopterología, IEEE Journal of Selected Topics in Signal Processing and ACM Transactions on Information Systems.
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.