Rachel Prudden

1.1k citations
6 papers · 650 indexed · 1 hit paper · h-index 5

Impact in

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

Papers in

Rachel Prudden

5 papers receiving 628 citations

Hit Papers

Skilful precipitation nowcasting using deep generative models of radar 2021 · 554 citations
5542021202620222024100200300400500

Peers

Rachel Prudden
Comparison fields: 5 of 85
  • Atmospheric Science 431
  • Global and Planetary Change 346
  • Environmental Engineering 135
  • Oceanography 44
  • Artificial Intelligence 77
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Rachel Prudden relative to Ellen Clancy United Kingdom Ellen Clancy's profile →
Citations per field
00.5×1.5×2.1×
Ellen Clancy · 1×
Citations per year

Countries citing papers authored by Rachel Prudden

Since Specialization
Citations

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

Fields of papers citing papers by Rachel Prudden

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Rachel Prudden, 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 Rachel Prudden Line = papers co-authored together Rachel Prudden links everyone, so they are left out of the graph.

All Works

6 of 6 papers shown
#Work
1 20250
2 20236
3 20225
4
Skilful precipitation nowcasting using deep generative models of radar
Hit paper breakdown →
2021554
5 202154
6 202031

About Rachel Prudden

Rachel Prudden is a scholar working on Global and Planetary Change, Atmospheric Science, Oceanography, Environmental Engineering and Neurology, having authored 6 papers that have together received 650 indexed citations. Recurring topics across this work include Meteorological Phenomena and Simulations (4 papers), Climate variability and models (3 papers), Precipitation Measurement and Analysis (2 papers), Flood Risk Assessment and Management (2 papers), Oceanographic and Atmospheric Processes (2 papers), MRI in cancer diagnosis (1 paper), Climate Change Communication and Perception (1 paper) and Optical Imaging and Spectroscopy Techniques (1 paper). The work is most often cited by research in Atmospheric Science (431 citations), Global and Planetary Change (346 citations), Environmental Engineering (135 citations), Oceanography (44 citations) and Artificial Intelligence (77 citations). Rachel Prudden has collaborated with scholars based in United Kingdom. Frequent co-authors include Alberto Arribas, N. Robinson, Shakir Mohamed, Suman Ravuri, Dmitry Kangin, Karel Lenc, M. A. Fitzsimons, Aidan Clark, Maria Athanassiadou and Raia Hadsell. Their work appears in journals such as Journal of Atmospheric and Oceanic Technology, Nature, Bulletin of the American Meteorological Society and arXiv (Cornell University).

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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