Jan Hůla

432 citations
15 papers · 189 · h-index 5

Impact in

Papers in

Jan Hůla

12 papers receiving 180 citations

Peers

Jan Hůla
Comparison fields: 5 of 72
  • Computer Vision and Pattern Recognition 90
  • Media Technology 17
  • Industrial and Manufacturing Engineering 18
  • Artificial Intelligence 55
  • Health Informatics 2
Replace Rajith Vidanaarachchi with:
Rajith Vidanaarachchi Australia
Lemeng Wu United States
Nurbiya Yadikar China
Dawei Zhang China
Shao-Yuan Lo United States
Wenchi Ma United States
Brandon Yang United States
Abigail Copiaco United Arab Emirates
Rongyu Zhang China
Hao Kang United States
Jan Hůla relative to Rajith Vidanaarachchi Australia Rajith Vidanaarachchi's profile →
Citations per field
00.5×5×10.7×
Rajith Vidanaarachchi · 1×
Citations per year

Countries citing papers authored by Jan Hůla

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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 22 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.

Border = papers with Jan Hůla Line = papers co-authored together Jan Hůla links everyone, so they are left out of the graph.

All Works

15 of 15 papers shown
#Work
1 2022102
2 202034
3 202218
4
Looking for ELMo's friends: Sentence-Level Pretraining Beyond Language Modeling.
201814
5 20216
6 20183
7 20242
8 20182
9 20242
10 20202
11 20172
12 20221
13 20221
14 20250
15 20240

About Jan Hůla

Jan Hůla is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition, Computer Networks and Communications, Computational Theory and Mathematics and Software, having authored 15 papers that have together received 189 indexed citations. Recurring topics across this work include Natural Language Processing Techniques (4 papers), Image Enhancement Techniques (2 papers), Model-Driven Software Engineering Techniques (2 papers), Advanced Neural Network Applications (2 papers), Authorship Attribution and Profiling (2 papers), Scheduling and Optimization Algorithms (2 papers), Constraint Satisfaction and Optimization (2 papers) and Advanced Image and Video Retrieval Techniques (2 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (90 citations), Media Technology (17 citations), Industrial and Manufacturing Engineering (18 citations), Artificial Intelligence (55 citations) and Health Informatics (2 citations). Jan Hůla has collaborated with scholars based in Czechia, China and Estonia. Frequent co-authors include Petr Hurtík, Marek Vajgl, Stefania Tomasiello, Mikoláš Janota, Ian Tenney, Xinying Chen, Berlin Chen, Patrick Xia, Roma Patel and Irina Perfilieva. Their work appears in journals such as Neural Computing and Applications, Corpus Linguistics and Linguistic Theory, Journal of Quantitative Linguistics, European Journal of Operational Research and IEEE Transactions on Fuzzy Systems.

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.

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