Matúš Pleva
Impact in
- Signal Processing top 5%
- Speech and Audio Processing
- Music and Audio Processing
- Human-Computer Interaction top 5%
Papers in
-
- Speech Recognition and Synthesis 30
- Natural Language Processing Techniques 23
- Speech and dialogue systems 21
-
- Speech and Audio Processing 20
- Music and Audio Processing 14
- Co-authors
- Jozef Juhár (62 shared papers)Daniel Hládek (30 shared papers)Stanislav Ondáš (35 shared papers)Anton Čižmár (12 shared papers)Ján Staš (16 shared papers)Hongying Meng (2 shared papers)Cindy L. Bethel (7 shared papers)Daniel W. Carruth (7 shared papers)
- Journals
- Electronics (5 papers)Multimedia Tools and Applications (2 papers)IEEE Access (2 papers)Language Resources and Evaluation (2 papers)Applied Sciences (1 paper)
- Partner nations
- SlovakiaTaiwanUnited States
In The Last Decade
Matúš Pleva
97 papers receiving 794 citations
Peers
Comparison fields: 5 of 100
- Signal Processing 238
- Human-Computer Interaction 87
- Artificial Intelligence 430
- Experimental and Cognitive Psychology 88
- Computer Vision and Pattern Recognition 148
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-authors
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
Showing the 20 most-cited of 109 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2018 | 58 | |
| 2 | 2020 | 57 | |
| 3 | 2019 | 54 | |
| 4 | 2004 | 48 | |
| 5 | 2016 | 31 | |
| 6 | 2019 | 26 | |
| 7 | 2005 | 23 | |
| 8 | 2015 | 23 | |
| 9 | 2017 | 21 | |
| 10 | 2015 | 20 | |
| 11 | 2013 | 20 | |
| 12 | 2014 | 20 | |
| 13 | 2013 | 19 | |
| 14 | 2017 | 17 | |
| 15 | 2014 | 16 | |
| 16 | 2013 | 15 | |
| 17 | 2017 | 14 | |
| 18 | 2019 | 14 | |
| 19 | 2012 | 13 | |
| 20 | 2019 | 13 |
About Matúš Pleva
Matúš Pleva is a scholar working on Artificial Intelligence, Signal Processing, Human-Computer Interaction, Computer Vision and Pattern Recognition and Control and Systems Engineering, having authored 109 papers that have together received 840 indexed citations. Recurring topics across this work include Speech Recognition and Synthesis (30 papers), Natural Language Processing Techniques (23 papers), Speech and dialogue systems (21 papers), Speech and Audio Processing (20 papers), Robotics and Automated Systems (16 papers), Music and Audio Processing (14 papers), Social Robot Interaction and HRI (12 papers) and User Authentication and Security Systems (11 papers). The work is most often cited by research in Signal Processing (238 citations), Human-Computer Interaction (87 citations), Artificial Intelligence (430 citations), Experimental and Cognitive Psychology (88 citations) and Computer Vision and Pattern Recognition (148 citations). Matúš Pleva has collaborated with scholars based in Slovakia, Taiwan and United States. Frequent co-authors include Jozef Juhár, Daniel Hládek, Stanislav Ondáš, Anton Čižmár, Ján Staš, Hongying Meng, Cindy L. Bethel, Daniel W. Carruth, Mohammad Rafiq Swash and Patrick Bours. Their work appears in journals such as Electronics, Multimedia Tools and Applications, IEEE Access, Language Resources and Evaluation and Applied Sciences.
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.