Jan Hůla
Impact in
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- Advanced Neural Network Applications
- Advanced Image and Video Retrieval Techniques
- Video Surveillance and Tracking Methods
Papers in
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- Natural Language Processing Techniques 4
- Authorship Attribution and Profiling 2
- Advanced Text Analysis Techniques 1
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- Image Enhancement Techniques 2
- Advanced Neural Network Applications 2
- Image Processing and 3D Reconstruction 1
- Co-authors
- Petr Hurtík (3 shared papers)Marek Vajgl (1 shared paper)Stefania Tomasiello (1 shared paper)Xinying Chen (2 shared papers)R. Thomas McCoy (1 shared paper)Berlin Chen (1 shared paper)Ellie Pavlick (1 shared paper)Najoung Kim (1 shared paper)
In The Last Decade
Jan Hůla
10 papers receiving 152 citations
Peers
Comparison fields: 5 of 69
- Computer Vision and Pattern Recognition 78
- Media Technology 15
- Industrial and Manufacturing Engineering 16
- Health Informatics 2
- Artificial Intelligence 46
Countries citing papers authored by Jan Hůla
This map shows the geographic impact of Jan Hůla'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 Jan Hůla with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jan Hůla more than expected).
Fields of papers citing papers by Jan Hůla
This network shows the impact of papers produced by Jan Hůla. 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 Jan Hůla. The network helps show where Jan Hůla may publish in the future.
Co-authors
The 21 scholars most cited alongside Jan Hůla, 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 | 2022 | 92 | |
| 2 | 2020 | 32 | |
| 3 | 2022 | 14 | |
| 4 | Looking for ELMo's friends: Sentence-Level Pretraining Beyond Language Modeling. | 2018 | 11 |
| 5 | 2018 | 3 | |
| 6 | 2021 | 3 | |
| 7 | 2024 | 2 | |
| 8 | 2020 | 2 | |
| 9 | 2018 | 2 | |
| 10 | 2024 | 1 | |
| 11 | 2025 | 0 | |
| 12 | 2024 | 0 |
About Jan Hůla
Jan Hůla is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition, Industrial and Manufacturing Engineering, Computer Networks and Communications and Information Systems, having authored 12 papers that have together received 162 indexed citations. Recurring topics across this work include Natural Language Processing Techniques (4 papers), Scheduling and Optimization Algorithms (2 papers), Authorship Attribution and Profiling (2 papers), Image Enhancement Techniques (2 papers), Advanced Neural Network Applications (2 papers), Advanced Text Analysis Techniques (1 paper), Model-Driven Software Engineering Techniques (1 paper) and Image Processing and 3D Reconstruction (1 paper). The work is most often cited by research in Computer Vision and Pattern Recognition (78 citations), Media Technology (15 citations), Industrial and Manufacturing Engineering (16 citations), Health Informatics (2 citations) and Artificial Intelligence (46 citations). Jan Hůla has collaborated with scholars based in Czechia, China and Slovakia. Frequent co-authors include Petr Hurtík, Marek Vajgl, Stefania Tomasiello, Xinying Chen, R. Thomas McCoy, Berlin Chen, Ellie Pavlick, Najoung Kim, Benjamin Van Durme and Ian Tenney. Their work appears in journals such as Neural Computing and Applications, Journal of Quantitative Linguistics, IEEE Transactions on Fuzzy Systems, Corpus Linguistics and Linguistic Theory and European Journal of Operational Research.
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.