Daniel Hládek
- Artificial Intelligence top 10%
- Natural Language Processing Techniques 27
- Topic Modeling 15
- Speech Recognition and Synthesis 15
- Speech and dialogue systems 14
- Sentiment Analysis and Opinion Mining 3
- Fuzzy Logic and Control Systems 3
- Computer Science Applications top 10%
-
- Robotics and Automated Systems 6
-
- Robotic Path Planning Algorithms 4
In The Last Decade
Daniel Hládek
47 papers receiving 271 citations
Peers
Comparison fields: 5 of 58
- Artificial Intelligence 194
- Computer Science Applications 28
- Signal Processing 30
- Health Informatics 3
- Control and Systems Engineering 51
Countries citing papers authored by Daniel Hládek
This map shows the geographic impact of Daniel Hládek'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 Daniel Hládek with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Daniel Hládek more than expected).
Fields of papers citing papers by Daniel Hládek
This network shows the impact of papers produced by Daniel Hládek. 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 Daniel Hládek. The network helps show where Daniel Hládek may publish in the future.
Co-authorship network
The 11 scholars most cited alongside Daniel Hládek, 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 | 2024 | 1 | |
| 4 | 2023 | 0 | |
| 5 | 2023 | 2 | |
| 6 | 2023 | 0 | |
| 7 | 2023 | 1 | |
| 8 | 2023 | 3 | |
| 9 | 2022 | 2 | |
| 10 | 2020 | 45 | |
| 11 | Building of children speech corpus for improving automatic subtitling services | 2019 | 1 |
| 12 | 2019 | 45 | |
| 13 | 2019 | 3 | |
| 14 | 2018 | 2 | |
| 15 | 2017 | 3 | |
| 16 | Evaluation Set for Slovak News Information Retrieval. | 2016 | 1 |
| 17 | 2016 | 11 | |
| 18 | The Slovak Categorized News Corpus | 2014 | 5 |
| 19 | TUKE at MediaEval 2013 Spoken Web Search Task. | 2013 | 5 |
| 20 | Dagger: The Slovak morphological classifier | 2012 | 8 |
About Daniel Hládek
Daniel Hládek is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition, Signal Processing, Computer Graphics and Computer-Aided Design and Control and Systems Engineering, having authored 50 papers that have together received 295 indexed citations. Recurring topics across this work include Natural Language Processing Techniques (27 papers), Topic Modeling (15 papers), Speech Recognition and Synthesis (15 papers), Speech and dialogue systems (14 papers), Robotics and Automated Systems (6 papers), Robotic Path Planning Algorithms (4 papers), Sentiment Analysis and Opinion Mining (3 papers) and Fuzzy Logic and Control Systems (3 papers). The work is most often cited by research in Artificial Intelligence (194 citations), Computer Science Applications (28 citations), Signal Processing (30 citations), Health Informatics (3 citations) and Control and Systems Engineering (51 citations). Daniel Hládek has collaborated with scholars based in Slovakia, Taiwan and Hungary. Frequent co-authors include Ján Staš, Matúš Pleva, Stanislav Ondáš, Jozef Juhár, Ján Vaščák, Peter Sinčák, Patrick Bours, László Kovács, Ming-Hsiang Su and Julius Zimmermann. Their work appears in journals such as Electronics, IEEE Access, Language Resources and Evaluation, Multimedia Tools and Applications and Journal of Linguistics/Jazykovedný casopis.
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.