Daniel Steinfeld

434 total citations
8 papers, 229 citations indexed

About

Daniel Steinfeld is a scholar working on Global and Planetary Change, Atmospheric Science and Earth-Surface Processes. According to data from OpenAlex, Daniel Steinfeld has authored 8 papers receiving a total of 229 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Global and Planetary Change, 7 papers in Atmospheric Science and 1 paper in Earth-Surface Processes. Recurrent topics in Daniel Steinfeld's work include Climate variability and models (8 papers), Meteorological Phenomena and Simulations (6 papers) and Atmospheric aerosols and clouds (2 papers). Daniel Steinfeld is often cited by papers focused on Climate variability and models (8 papers), Meteorological Phenomena and Simulations (6 papers) and Atmospheric aerosols and clouds (2 papers). Daniel Steinfeld collaborates with scholars based in Switzerland, Germany and Kazakhstan. Daniel Steinfeld's co-authors include Stephan Pfahl, Richard Forbes, Maxi Boettcher, Olivia Martius, Michael Sprenger, Abhay Devasthale, Urs Beyerle, Michael Tjernström, A. C. Davison and Alexandre Tuel and has published in prestigious journals such as Geophysical Research Letters, Environmental Research Letters and Climate Dynamics.

In The Last Decade

Daniel Steinfeld

7 papers receiving 222 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Daniel Steinfeld Switzerland 6 206 200 33 8 6 8 229
Nicole Albern Germany 8 206 1.0× 197 1.0× 21 0.6× 7 0.9× 3 0.5× 11 227
Teresa Valkonen Norway 10 184 0.9× 251 1.3× 28 0.8× 18 2.3× 6 1.0× 15 266
Lisa‐Ann Kautz Germany 5 225 1.1× 208 1.0× 26 0.8× 12 1.5× 4 0.7× 6 261
Tuomas Naakka Finland 8 189 0.9× 229 1.1× 16 0.5× 5 0.6× 8 1.3× 14 247
P. Priya India 6 193 0.9× 159 0.8× 43 1.3× 17 2.1× 2 0.3× 11 219
Cheng Zheng United States 8 267 1.3× 255 1.3× 51 1.5× 6 0.8× 2 0.3× 26 287
Lise Seland Graff Norway 6 147 0.7× 135 0.7× 33 1.0× 6 0.8× 4 0.7× 11 167
D. Nobileau France 6 225 1.1× 210 1.1× 40 1.2× 9 1.1× 2 0.3× 6 251
J. Perket United States 6 139 0.7× 125 0.6× 12 0.4× 14 1.8× 2 0.3× 7 170
В. В. Полькин Russia 10 252 1.2× 253 1.3× 20 0.6× 4 0.5× 8 1.3× 54 289

Countries citing papers authored by Daniel Steinfeld

Since Specialization
Citations

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

Fields of papers citing papers by Daniel Steinfeld

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Daniel Steinfeld

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

All Works

8 of 8 papers shown
1.
Steinfeld, Daniel, et al.. (2025). Using spatial extreme-value theory with machine learning to model and understand spatially compounding weather extremes. Proceedings of the Royal Society A Mathematical Physical and Engineering Sciences. 481(2316).
2.
Xi, Xin, Daniel Steinfeld, Steven M. Cavallo, et al.. (2023). What caused the unseasonal extreme dust storm in Uzbekistan during November 2021?. Environmental Research Letters. 18(11). 114029–114029. 5 indexed citations
3.
Steinfeld, Daniel, Michael Sprenger, Urs Beyerle, & Stephan Pfahl. (2022). Response of moist and dry processes in atmospheric blocking to climate change. Environmental Research Letters. 17(8). 84020–84020. 17 indexed citations
4.
Tuel, Alexandre, et al.. (2022). Large‐Scale Drivers of Persistent Extreme Weather During Early Summer 2021 in Europe. Geophysical Research Letters. 49(18). 15 indexed citations
5.
Tjernström, Michael, et al.. (2022). The Role of Atmospheric Blocking in Regulating Arctic Warming. Geophysical Research Letters. 49(12). 17 indexed citations
6.
Steinfeld, Daniel, et al.. (2022). Downscaling of Historical Wind Fields over Switzerland Using Generative Adversarial Networks. Infoscience (Ecole Polytechnique Fédérale de Lausanne). 1(4). 13 indexed citations
7.
Steinfeld, Daniel, Maxi Boettcher, Richard Forbes, & Stephan Pfahl. (2020). The sensitivity of atmospheric blocking to upstream latent heating – numerical experiments. Weather and Climate Dynamics. 1(2). 405–426. 54 indexed citations
8.
Steinfeld, Daniel & Stephan Pfahl. (2019). The role of latent heating in atmospheric blocking dynamics: a global climatology. Climate Dynamics. 53(9-10). 6159–6180. 108 indexed citations

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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