Karel Lenc
Impact in
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- Advanced Image and Video Retrieval Techniques
- Video Surveillance and Tracking Methods
- Advanced Neural Network Applications
- Human Pose and Action Recognition
- Image Retrieval and Classification Techniques
- Advanced Vision and Imaging
- Media Technology top 1%
Papers in
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- Advanced Image and Video Retrieval Techniques 5
- Advanced Neural Network Applications 4
- Handwritten Text Recognition Techniques 1
- Image Retrieval and Classification Techniques 1
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- Domain Adaptation and Few-Shot Learning 2
- Co-authors
- Andrea Vedaldi (5 shared papers)N. Robinson (1 shared paper)Andrew Brock (1 shared paper)Maria Athanassiadou (1 shared paper)Raia Hadsell (1 shared paper)Piotr Mirowski (1 shared paper)Rachel Prudden (1 shared paper)Aidan Clark (1 shared paper)
- Journals
- Nature (1 paper)Lecture notes in computer science (2 papers)PubMed (1 paper)
- Partner nations
- United KingdomCzechiaBelgium
In The Last Decade
Karel Lenc
7 papers receiving 2.9k citations
Karel Lenc's Hit Papers
Peers
Comparison fields: 5 of 150
- Computer Vision and Pattern Recognition 1.7k
- Media Technology 358
- Atmospheric Science 399
- Artificial Intelligence 622
- Global and Planetary Change 344
Countries citing papers authored by Karel Lenc
This map shows the geographic impact of Karel Lenc'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 Karel Lenc with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Karel Lenc more than expected).
Fields of papers citing papers by Karel Lenc
This network shows the impact of papers produced by Karel Lenc. 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 Karel Lenc. The network helps show where Karel Lenc may publish in the future.
Co-authors
The 22 scholars most cited alongside Karel Lenc, 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 | MatConvNet Hit paper breakdown → | 2015 | 1903 |
| 2 | Skilful precipitation nowcasting using deep generative models of radar Hit paper breakdown → | 2021 | 599 |
| 3 | 2015 | 215 | |
| 4 | 2016 | 84 | |
| 5 | 2015 | 56 | |
| 6 | 2012 | 53 | |
| 7 | 2020 | 34 |
About Karel Lenc
Karel Lenc is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence, Media Technology, Atmospheric Science and Aerospace Engineering, having authored 7 papers that have together received 2.9k indexed citations. Recurring topics across this work include Advanced Image and Video Retrieval Techniques (5 papers), Advanced Neural Network Applications (4 papers), Domain Adaptation and Few-Shot Learning (2 papers), Robotics and Sensor-Based Localization (1 paper), Handwritten Text Recognition Techniques (1 paper), Image Retrieval and Classification Techniques (1 paper), Flood Risk Assessment and Management (1 paper) and Vehicle License Plate Recognition (1 paper). The work is most often cited by research in Computer Vision and Pattern Recognition (1.7k citations), Media Technology (358 citations), Atmospheric Science (399 citations), Artificial Intelligence (622 citations) and Global and Planetary Change (344 citations). Karel Lenc has collaborated with scholars based in United Kingdom, Czechia and Belgium. Frequent co-authors include Andrea Vedaldi, N. Robinson, Andrew Brock, Maria Athanassiadou, Raia Hadsell, Piotr Mirowski, Rachel Prudden, Aidan Clark, Dmitry Kangin and Rémi Lam. Their work appears in journals such as Nature, Lecture notes in computer science and PubMed.
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.