Scarlet Stadtler

12 papers receiving 458 citations

Hit Papers

Can deep learning beat numerical weather prediction?2021202620222024202150100150200250

Peers

Scarlet Stadtler
Comparison fields: 5 of 76
  • Atmospheric Science 295
  • Global and Planetary Change 208
  • Environmental Engineering 174
  • Health, Toxicology and Mutagenesis 68
  • Artificial Intelligence 62
Replace Felix Kleinert with:
Felix Kleinert Germany
Bogdan Bochenek Poland
Clara Betancourt Germany
Lukas Hubert Leufen Germany
Michael Langguth Germany
Amirpasha Mozaffari Germany
Yijia Zheng China
MN Assimakopoulos Greece
Gregory Roux United States
Goutami Chattopadhyay India
Scarlet Stadtler relative to Felix Kleinert Germany Felix Kleinert's profile →
Citations per field
00.5×12×
Felix Kleinert · 1×
Citations per year

Countries citing papers authored by Scarlet Stadtler

Since Specialization
Citations

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

Fields of papers citing papers by Scarlet Stadtler

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Scarlet Stadtler

This figure shows the co-authorship network connecting the top 25 collaborators of Scarlet Stadtler. A scholar is included among the top collaborators of Scarlet Stadtler 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 Scarlet Stadtler. Scarlet Stadtler is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

13 of 13 papers shown
#WorkIndexed citations
1 1
2 2
3 1
4 26
5 16
6 14
7 17
8
Can deep learning beat numerical weather prediction?breakdown →
280
9 1
10 30
11 34
12 49
13 0

About Scarlet Stadtler

Scarlet Stadtler is a scholar working on Atmospheric Science, Health, Toxicology and Mutagenesis and Environmental Engineering, having authored 13 papers that have together received 471 indexed citations. Recurring topics across this work include Air Quality and Health Impacts (5 papers), Atmospheric chemistry and aerosols (5 papers) and Atmospheric Ozone and Climate (5 papers). The work is most often cited by research in Atmospheric Science (295 citations), Environmental Engineering (174 citations) and Global and Planetary Change (208 citations). Scarlet Stadtler has collaborated with scholars based in Germany, Finland and United States. Frequent co-authors include Martin G. Schultz, Clara Betancourt, Michael Langguth, Bing Gong, Amirpasha Mozaffari, Felix Kleinert, Lukas Hubert Leufen, Sabine Schröder, Domenico Taraborrelli and Ribana Roscher. Their work appears in journals such as SHILAP Revista de lepidopterología, Atmospheric chemistry and physics and Philosophical Transactions of the Royal Society A Mathematical Physical and Engineering Sciences.

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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