Skilful precipitation nowcasting using deep generative models of radar2021 · 554 citations
What are hit papers?
Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies
if any of the following hold:
it has ≥500 total citations;
it reaches ≥1.5× the top-1% citation threshold for papers in the same subfield and year (the
threshold is the minimum needed to enter the top 1%, not the average within it);
it reaches the top citation threshold in at least one of its specific research topics.
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).
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-authorship network
The 21 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.
Border = papers with Karel LencLine = papers co-authored togetherKarel Lenc links everyone, so they are left out of the graph.
All Works
5 of 5 papers shown
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Work
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Skilful precipitation nowcasting using deep generative models of radar
Karel Lenc is a scholar working on Computer Vision and Pattern Recognition, Media Technology, Artificial Intelligence, Atmospheric Science and Global and Planetary Change, having authored 5 papers that have together received 2.5k indexed citations. Recurring topics across this work include Advanced Image and Video Retrieval Techniques (3 papers), Advanced Neural Network Applications (3 papers), Domain Adaptation and Few-Shot Learning (2 papers), Image Retrieval and Classification Techniques (1 paper), Generative Adversarial Networks and Image Synthesis (1 paper), Precipitation Measurement and Analysis (1 paper), Image and Object Detection Techniques (1 paper) and Flood Risk Assessment and Management (1 paper). The work is most often cited by research in Computer Vision and Pattern Recognition (1.4k citations), Media Technology (309 citations), Atmospheric Science (381 citations), Artificial Intelligence (525 citations) and Global and Planetary Change (332 citations). Karel Lenc has collaborated with scholars based in United Kingdom, Czechia and Belgium. Frequent co-authors include Andrea Vedaldi, N. Robinson, Rémi Lam, Aidan Clark, M. A. Fitzsimons, Dmitry Kangin, Suman Ravuri, Shakir Mohamed, Ellen Clancy and Maria Athanassiadou. Their work appears in journals such as Nature and PubMed.
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