Andreas Pauling

1.9k total citations
21 papers, 1.2k citations indexed

About

Andreas Pauling is a scholar working on Global and Planetary Change, Atmospheric Science and Immunology and Allergy. According to data from OpenAlex, Andreas Pauling has authored 21 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Global and Planetary Change, 11 papers in Atmospheric Science and 8 papers in Immunology and Allergy. Recurrent topics in Andreas Pauling's work include Tree-ring climate responses (9 papers), Allergic Rhinitis and Sensitization (8 papers) and Climate variability and models (7 papers). Andreas Pauling is often cited by papers focused on Tree-ring climate responses (9 papers), Allergic Rhinitis and Sensitization (8 papers) and Climate variability and models (7 papers). Andreas Pauling collaborates with scholars based in Switzerland, Germany and Austria. Andreas Pauling's co-authors include Jürg Luterbacher, Carlo Casty, Heinz Wanner, Stefan Brönnimann, Elena Xoplaki, H. Vogel, Bernard Clot, Bernhard Vogel, Regula Gehrig and Marcel Küttel and has published in prestigious journals such as PLoS ONE, Geophysical Research Letters and Atmospheric Environment.

In The Last Decade

Andreas Pauling

21 papers receiving 1.2k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Andreas Pauling Switzerland 15 811 711 185 139 97 21 1.2k
Ulf Segerström Sweden 20 684 0.8× 163 0.2× 49 0.3× 142 1.0× 78 0.8× 30 1.0k
Martin Theuerkauf Germany 20 797 1.0× 172 0.2× 24 0.1× 175 1.3× 80 0.8× 53 1.1k
Chunmei Ma China 22 1.1k 1.4× 125 0.2× 17 0.1× 60 0.4× 51 0.5× 70 1.4k
Fang Tian China 22 1.4k 1.7× 151 0.2× 20 0.1× 182 1.3× 45 0.5× 53 1.6k
Hervé Richard France 16 483 0.6× 54 0.1× 60 0.3× 81 0.6× 15 0.2× 53 719
Patricia L. Fall United States 20 599 0.7× 162 0.2× 9 0.0× 177 1.3× 57 0.6× 52 1.2k
Aizhi Sun China 19 826 1.0× 135 0.2× 15 0.1× 65 0.5× 22 0.2× 36 934
Pentti Zetterberg Finland 12 2.2k 2.7× 1.2k 1.7× 7 0.0× 74 0.5× 54 0.6× 15 2.4k
Wayne M. Wendland United States 14 649 0.8× 472 0.7× 4 0.0× 44 0.3× 66 0.7× 47 986

Countries citing papers authored by Andreas Pauling

Since Specialization
Citations

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

Fields of papers citing papers by Andreas Pauling

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Andreas Pauling

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

All Works

20 of 20 papers shown
1.
Pauling, Andreas, et al.. (2023). A real-time calibration method for the numerical pollen forecast model COSMO-ART. Aerobiologia. 39(3). 327–344. 8 indexed citations
2.
Gute, Ellen, Corinna Hoose, Christoph Kottmeier, et al.. (2022). When Do Subpollen Particles Become Relevant for Ice Nucleation Processes in Clouds?. Journal of Geophysical Research Atmospheres. 127(24). 8 indexed citations
3.
Šikoparija, Branko, M. Thibaudon, G. Oliver, et al.. (2019). Artificial neural networks can be used for Ambrosia pollen emission parameterization in COSMO-ART. Atmospheric Environment. 218. 116969–116969. 3 indexed citations
4.
Pauling, Andreas, et al.. (2019). Pollen forecasts in complex topography: two case studies from the Alps using the numerical pollen forecast model COSMO-ART. Aerobiologia. 36(1). 25–30. 16 indexed citations
5.
Šikoparija, Branko, Gordan Mimić, Marko Panić, et al.. (2018). High temporal resolution of airborne Ambrosia pollen measurements above the source reveals emission characteristics. Atmospheric Environment. 192. 13–23. 27 indexed citations
6.
Müller-Germann, I., Bernhard Vogel, H. Vogel, et al.. (2015). Quantitative DNA Analyses for Airborne Birch Pollen. PLoS ONE. 10(10). e0140949–e0140949. 16 indexed citations
7.
Pauling, Andreas, et al.. (2013). EMPOL 1.0: a new parameterization of pollen emission in numerical weather prediction models. Geoscientific model development. 6(6). 1961–1975. 39 indexed citations
8.
Pauling, Andreas, et al.. (2011). A method to derive vegetation distribution maps for pollen dispersion models using birch as an example. International Journal of Biometeorology. 56(5). 949–958. 37 indexed citations
9.
Vogel, H., Andreas Pauling, & Bernhard Vogel. (2008). Numerical simulation of birch pollen dispersion with an operational weather forecast system. International Journal of Biometeorology. 52(8). 805–814. 68 indexed citations
10.
Pauling, Andreas, et al.. (2008). Winter precipitation trends for two selected European regions over the last 500 years and their possible dynamical background. Theoretical and Applied Climatology. 95(1-2). 9–26. 28 indexed citations
11.
Pauling, Andreas, Samuel U. Nussbaumer, Atle Nesje, et al.. (2008). Sensitivity of European glaciers to precipitation and temperature – two case studies. Climatic Change. 90(4). 413–441. 58 indexed citations
12.
Hünicke, Birgit, Jürg Luterbacher, Andreas Pauling, & Eduardo Zorita. (2008). Regional differences in winter sea level variations in the Baltic Sea for the past 200 yr. Tellus A Dynamic Meteorology and Oceanography. 60(2). 384–384. 28 indexed citations
13.
Pauling, Andreas, et al.. (2008). Regional differences in winter sea level variations in the Baltic Sea for the past 200 yr. Tellus A Dynamic Meteorology and Oceanography. 2 indexed citations
14.
15.
Pauling, Andreas, Carlo Casty, & Heinz Wanner. (2006). Five hundred years of gridded high-resolution precipitation reconstructions over Europe and the connection to large-scale. 1 indexed citations
16.
Raible, Christoph C., Carlo Casty, Jürg Luterbacher, et al.. (2006). Climate Variability-Observations, Reconstructions, and Model Simulations for the Atlantic-European and Alpine Region from 1500-2100 AD. Climatic Change. 79(1-2). 9–29. 66 indexed citations
17.
Luterbacher, Jürg, Elena Xoplaki, Carlo Casty, et al.. (2006). Chapter 1 Mediterranean climate variability over the last centuries: A review. OPUS (Augsburg University). 27–148. 162 indexed citations
18.
Brönnimann, Stefan, Elena Xoplaki, Carlo Casty, Andreas Pauling, & Jürg Luterbacher. (2006). ENSO influence on Europe during the last centuries. Climate Dynamics. 28(2-3). 181–197. 203 indexed citations
19.
Pauling, Andreas, Jürg Luterbacher, Carlo Casty, & Heinz Wanner. (2005). Five hundred years of gridded high-resolution precipitation reconstructions over Europe and the connection to large-scale circulation. Climate Dynamics. 26(4). 387–405. 369 indexed citations
20.
Pauling, Andreas, Jürg Luterbacher, & Heinz Wanner. (2003). Evaluation of proxies for European and North Atlantic temperature field reconstructions. Geophysical Research Letters. 30(15). 53 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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