Jonathan Heek

809 citations
2 papers · 145 · 1 hit paper · h-index 1

Impact in

    • Meteorological Phenomena and Simulations
    • Precipitation Measurement and Analysis
    • Tropical and Extratropical Cyclones Research
    • Climate variability and models
    • Flood Risk Assessment and Management

Papers in

Jonathan Heek

1 paper receiving 139 citations

Jonathan Heek's Hit Papers

Deep learning for twelve hour precipitation forecasts 2022 · 145 citations
1450+1+2Years since publication4080120

Peers

Jonathan Heek
Comparison fields: 5 of 39
  • Atmospheric Science 86
  • Global and Planetary Change 74
  • Environmental Engineering 45
  • Oceanography 11
  • Management Science and Operations Research 7
Replace Cenk Gazen with:
Cenk Gazen United States
Carla Bromberg Brazil
Quentin Rodier France
Laura Mansfield United States
Baudouin Raoult United Kingdom
Javier Díez-Sierra Spain
Kai Sattler Denmark
Minsu Joh South Korea
Christopher W. Frank Germany
Jonathan Heek relative to Cenk Gazen United States Cenk Gazen's profile →
Citations per field
00.5×1.5×
Cenk Gazen · 1×
Citations per year

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-authors

The 14 scholars most cited alongside Jonathan Heek, 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 Jonathan Heek Line = papers co-authored together Jonathan Heek links everyone, so they are left out of the graph.

All Works

2 of 2 papers shown

About Jonathan Heek

Jonathan Heek is a scholar working on Computer Vision and Pattern Recognition, Atmospheric Science, Global and Planetary Change, Infectious Diseases and Organic Chemistry, having authored 2 papers that have together received 145 indexed citations. Recurring topics across this work include Climate variability and models (1 paper), Medical Image Segmentation Techniques (1 paper), Advanced Image and Video Retrieval Techniques (1 paper), Meteorological Phenomena and Simulations (1 paper), Image Retrieval and Classification Techniques (1 paper) and Precipitation Measurement and Analysis (1 paper). The work is most often cited by research in Atmospheric Science (86 citations), Global and Planetary Change (74 citations), Environmental Engineering (45 citations), Oceanography (11 citations) and Management Science and Operations Research (7 citations). Jonathan Heek has collaborated with scholars based in United States. Frequent co-authors include Marcin Andrychowicz, Casper Kaae Sønderby, Cenk Gazen, Robert W. Carver, Lasse Espeholt, Aaron J. Bell, Manoj Kumar, Jason Hickey, Nal Kalchbrenner and Carla Bromberg. Their work appears in journals such as Nature Communications.

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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