Bela Usabaev
- Artificial Intelligence top 10%
- Signal Processing top 5%
- Experimental and Cognitive Psychology top 10%
- Cognitive Neuroscience
- Computer Vision and Pattern Recognition
- Co-authors
- Oliver WattsJunichi YamagishiSimon KingMikko KurimoKeiichi TokudaReima KarhilaRaymond HuJing Tian
- Topics
- Speech and Audio Processing (4 papers)Speech Recognition and Synthesis (4 papers)Music and Audio Processing (3 papers)
- Journals
- IEEE Transactions on Audio Speech and Language ProcessingLanguage Resources and Evaluationi-com
- Partner nations
- GermanyUnited KingdomSwitzerland
In The Last Decade
Bela Usabaev
6 papers receiving 309 citations
Peers
Comparison fields: 5 of 80
- Artificial Intelligence 200
- Signal Processing 142
- Experimental and Cognitive Psychology 80
- Cognitive Neuroscience 38
- Computer Vision and Pattern Recognition 28
Countries citing papers authored by Bela Usabaev
This map shows the geographic impact of Bela Usabaev'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 Bela Usabaev with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Bela Usabaev more than expected).
Fields of papers citing papers by Bela Usabaev
This network shows the impact of papers produced by Bela Usabaev. 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 Bela Usabaev. The network helps show where Bela Usabaev may publish in the future.
Co-authorship network of co-authors of Bela Usabaev
This figure shows the co-authorship network connecting the top 25 collaborators of Bela Usabaev. A scholar is included among the top collaborators of Bela Usabaev 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 Bela Usabaev. Bela Usabaev 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 | Automatic Speech Recognition on a Firefighter TETRA Broadcast Channel | 1 |
| 3 | 16 | |
| 4 | 49 | |
| 5 | The 10th Annual Conference of the International Speech Communication Association, INTERSPEECH 2009 | 21 |
| 6 | Proceedings of the Annual Conference of the International Speech Communication Association, INTERSPEECH 2009 | 229 |
| 7 | 13 |
About Bela Usabaev
Bela Usabaev is a scholar working on Signal Processing, Computer Graphics and Computer-Aided Design and Geology, having authored 7 papers that have together received 329 indexed citations. Recurring topics across this work include Speech and Audio Processing (4 papers), Speech Recognition and Synthesis (4 papers) and Music and Audio Processing (3 papers). The work is most often cited by research in Signal Processing (142 citations), Artificial Intelligence (200 citations) and Experimental and Cognitive Psychology (80 citations). Bela Usabaev has collaborated with scholars based in Germany, United Kingdom and Switzerland. Frequent co-authors include Oliver Watts, Junichi Yamagishi, Simon King, Mikko Kurimo, Keiichi Tokuda, Reima Karhila, Raymond Hu, Jing Tian, Yi Guan and Jilei Tian. Their work appears in journals such as IEEE Transactions on Audio Speech and Language Processing, Language Resources and Evaluation and i-com.
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.