Jonathan Heek

809 total citations · 1 hit paper
2 papers, 145 citations indexed

About

Jonathan Heek is a scholar working on Computer Vision and Pattern Recognition, Atmospheric Science and Global and Planetary Change. According to data from OpenAlex, Jonathan Heek has authored 2 papers receiving a total of 145 indexed citations (citations by other indexed papers that have themselves been cited), including 1 paper in Computer Vision and Pattern Recognition, 1 paper in Atmospheric Science and 1 paper in Global and Planetary Change. Recurrent topics in Jonathan Heek's work include Advanced Image and Video Retrieval Techniques (1 paper), Image Retrieval and Classification Techniques (1 paper) and Meteorological Phenomena and Simulations (1 paper). Jonathan Heek is often cited by papers focused on Advanced Image and Video Retrieval Techniques (1 paper), Image Retrieval and Classification Techniques (1 paper) and Meteorological Phenomena and Simulations (1 paper). Jonathan Heek collaborates with scholars based in United States. Jonathan Heek's co-authors include Aaron J. Bell, Lasse Espeholt, Jason Hickey, Manoj Kumar, Nal Kalchbrenner, Robert W. Carver, Marcin Andrychowicz, Shreya Agrawal, Carla Bromberg and Cenk Gazen and has published in prestigious journals such as Nature Communications.

In The Last Decade

Jonathan Heek

1 paper receiving 139 citations

Hit Papers

Deep learning for twelve hour precipitation forecasts 2022 2026 2023 2024 2022 40 80 120

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Jonathan Heek United States 1 86 74 45 18 15 2 145
Cenk Gazen United States 2 86 1.0× 74 1.0× 45 1.0× 18 1.0× 31 2.1× 3 163
Carla Bromberg Brazil 2 141 1.6× 116 1.6× 70 1.6× 29 1.6× 20 1.3× 4 227
Laura Mansfield United States 5 75 0.9× 68 0.9× 29 0.6× 17 0.9× 11 0.7× 7 124
Quentin Rodier France 5 87 1.0× 78 1.1× 49 1.1× 11 0.6× 6 0.4× 9 127
Baudouin Raoult United Kingdom 4 65 0.8× 52 0.7× 23 0.5× 12 0.7× 7 0.5× 10 122
Javier Díez-Sierra Spain 5 64 0.7× 84 1.1× 70 1.6× 10 0.6× 23 1.5× 12 154
Yang Lyu China 7 96 1.1× 76 1.0× 30 0.7× 5 0.3× 15 1.0× 22 129
Fenghua Ling China 7 84 1.0× 69 0.9× 53 1.2× 11 0.6× 17 1.1× 21 144
Kai Sattler Denmark 5 77 0.9× 59 0.8× 24 0.5× 8 0.4× 71 4.7× 12 131

Countries citing papers authored by Jonathan Heek

Since Specialization
Citations

This map shows the geographic impact of Jonathan Heek'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 Jonathan Heek with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jonathan Heek more than expected).

Fields of papers citing papers by Jonathan Heek

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Jonathan Heek. 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 Jonathan Heek. The network helps show where Jonathan Heek may publish in the future.

Co-authorship network of co-authors of Jonathan Heek

This figure shows the co-authorship network connecting the top 25 collaborators of Jonathan Heek. A scholar is included among the top collaborators of Jonathan Heek based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Jonathan Heek. Jonathan Heek is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

2 of 2 papers shown
1.
Hoogeboom, Emiel, et al.. (2025). Simpler Diffusion: 1.5 FID on ImageNet512 with pixel-space diffusion. 18062–18071.
2.
Espeholt, Lasse, Shreya Agrawal, Casper Kaae Sønderby, et al.. (2022). Deep learning for twelve hour precipitation forecasts. Nature Communications. 13(1). 5145–5145. 145 indexed citations breakdown →

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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