Matúš Pleva
- Signal Processing top 5%
- Speech and Audio Processing 18
- Music and Audio Processing 12
- Human-Computer Interaction top 5%
- Artificial Intelligence top 5%
- Speech Recognition and Synthesis 25
- Speech and dialogue systems 19
- Natural Language Processing Techniques 17
- Computer Science Applications top 10%
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- Robotics and Automated Systems 16
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- Social Robot Interaction and HRI 12
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- User Authentication and Security Systems 9
Matúš Pleva
82 papers receiving 599 citations
Peers
Comparison fields: 5 of 83
- Signal Processing 189
- Human-Computer Interaction 66
- Artificial Intelligence 321
- Computer Vision and Pattern Recognition 127
- Computer Science Applications 30
Countries citing papers authored by Matúš Pleva
This map shows the geographic impact of Matúš Pleva'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 Matúš Pleva with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Matúš Pleva more than expected).
Fields of papers citing papers by Matúš Pleva
This network shows the impact of papers produced by Matúš Pleva. 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 Matúš Pleva. The network helps show where Matúš Pleva may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Matúš Pleva, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2025 | 1 | |
| 2 | 2024 | 1 | |
| 3 | 2023 | 0 | |
| 4 | 2023 | 0 | |
| 5 | 2019 | 13 | |
| 6 | Building of children speech corpus for improving automatic subtitling services | 2019 | 1 |
| 7 | Anticipation and its Applications in Human-machine Interaction. | 2019 | 1 |
| 8 | 2018 | 12 | |
| 9 | 2015 | 19 | |
| 10 | TUKE at MediaEval 2015 QUESST | 2015 | 2 |
| 11 | TUKE-BNews-SK: Slovak Broadcast News Corpus Construction and Evaluation | 2014 | 16 |
| 12 | TUKE System for MediaEval 2014 QUESST. | 2014 | 2 |
| 13 | Security Audit of WLAN Networks Using Statistical Models of Specified Language Group | 2013 | 1 |
| 14 | Server-based Speech Technologies for Mobile Robotic Applications | 2013 | 3 |
| 15 | TUKE at MediaEval 2013 Spoken Web Search Task. | 2013 | 5 |
| 16 | Modification of widely used feature vectors for real-time acoustic events detection | 2013 | 4 |
| 17 | Evaluating the modified viterbi decoder for long-term audio events monitoring task | 2012 | 5 |
| 18 | TUKE MediaEval 2012: Spoken Web Search using DTW and Unsupervised SVM. | 2012 | 7 |
| 19 | Alternative phonetic class definition in linear discriminant analysis of speech | 2012 | 2 |
| 20 | The COST278 Pan-European Broadcast News Database. | 2004 | 40 |
About Matúš Pleva
Matúš Pleva is a scholar working on Signal Processing, Human-Computer Interaction, Artificial Intelligence, Computer Vision and Pattern Recognition and Control and Systems Engineering, having authored 92 papers that have together received 632 indexed citations. Recurring topics across this work include Speech Recognition and Synthesis (25 papers), Speech and dialogue systems (19 papers), Speech and Audio Processing (18 papers), Natural Language Processing Techniques (17 papers), Robotics and Automated Systems (16 papers), Music and Audio Processing (12 papers), Social Robot Interaction and HRI (12 papers) and User Authentication and Security Systems (9 papers). The work is most often cited by research in Signal Processing (189 citations), Human-Computer Interaction (66 citations), Artificial Intelligence (321 citations), Computer Vision and Pattern Recognition (127 citations) and Computer Science Applications (30 citations). Matúš Pleva has collaborated with scholars based in Slovakia, Taiwan and United States. Frequent co-authors include Jozef Juhár, Stanislav Ondáš, Daniel Hládek, Anton Čižmár, Ján Staš, Hongying Meng, Mohammad Rafiq Swash, Patrick Bours, Cindy L. Bethel and Daniel W. Carruth. Their work appears in journals such as Electronics, Language Resources and Evaluation, Multimedia Tools and Applications, Acta Polytechnica Hungarica and IEEE Access.
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.