Ján Staš
Impact in
- Artificial Intelligence top 10%
- Natural Language Processing Techniques
- Speech Recognition and Synthesis
- Topic Modeling
- Speech and dialogue systems
- Signal Processing top 10%
- Speech and Audio Processing
- Music and Audio Processing
Papers in
-
- Natural Language Processing Techniques 34
- Speech Recognition and Synthesis 29
- Speech and dialogue systems 17
- Topic Modeling 16
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- Music and Audio Processing 6
- Speech and Audio Processing 5
- Co-authors
- Daniel Hládek (45 shared papers)Jozef Juhár (42 shared papers)Matúš Pleva (16 shared papers)Stanislav Ondáš (12 shared papers)László Kovács (3 shared papers)Anton Čižmár (2 shared papers)
In The Last Decade
Ján Staš
58 papers receiving 281 citations
Peers
Comparison fields: 5 of 46
- Artificial Intelligence 225
- Signal Processing 51
- Language and Linguistics 22
- Human-Computer Interaction 10
- Information Systems 38
Countries citing papers authored by Ján Staš
This map shows the geographic impact of Ján Staš'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 Ján Staš with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ján Staš more than expected).
Fields of papers citing papers by Ján Staš
This network shows the impact of papers produced by Ján Staš. 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 Ján Staš. The network helps show where Ján Staš may publish in the future.
Co-authors
The 6 scholars most cited alongside Ján Staš, 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 63 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2020 | 57 | |
| 2 | 2017 | 19 | |
| 3 | 2014 | 16 | |
| 4 | 2014 | 16 | |
| 5 | 2016 | 14 | |
| 6 | Dagger: The Slovak morphological classifier | 2012 | 11 |
| 7 | 2014 | 11 | |
| 8 | 2018 | 11 | |
| 9 | 2014 | 10 | |
| 10 | 2013 | 9 | |
| 11 | 2016 | 8 | |
| 12 | 2011 | 7 | |
| 13 | 2023 | 7 | |
| 14 | 2014 | 7 | |
| 15 | 2016 | 6 | |
| 16 | 2022 | 5 | |
| 17 | 2016 | 5 | |
| 18 | 2023 | 4 | |
| 19 | 2016 | 4 | |
| 20 | 2019 | 4 |
About Ján Staš
Ján Staš is a scholar working on Artificial Intelligence, Signal Processing, Experimental and Cognitive Psychology, Language and Linguistics and Information Systems, having authored 63 papers that have together received 302 indexed citations. Recurring topics across this work include Natural Language Processing Techniques (34 papers), Speech Recognition and Synthesis (29 papers), Speech and dialogue systems (17 papers), Topic Modeling (16 papers), Music and Audio Processing (6 papers), Speech and Audio Processing (5 papers), Robotics and Automated Systems (3 papers) and Subtitles and Audiovisual Media (3 papers). The work is most often cited by research in Artificial Intelligence (225 citations), Signal Processing (51 citations), Language and Linguistics (22 citations), Human-Computer Interaction (10 citations) and Information Systems (38 citations). Ján Staš has collaborated with scholars based in Slovakia, Taiwan and Hungary. Frequent co-authors include Daniel Hládek, Jozef Juhár, Matúš Pleva, Stanislav Ondáš, László Kovács and Anton Čižmár. Their work appears in journals such as Language Resources and Evaluation, IEEE Access, Electronics, Lecture notes in computer science and Multimedia Tools and Applications.
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.