Peer Nowack

1.8k total citations
36 papers, 982 citations indexed

About

Peer Nowack is a scholar working on Atmospheric Science, Global and Planetary Change and Health, Toxicology and Mutagenesis. According to data from OpenAlex, Peer Nowack has authored 36 papers receiving a total of 982 indexed citations (citations by other indexed papers that have themselves been cited), including 31 papers in Atmospheric Science, 28 papers in Global and Planetary Change and 7 papers in Health, Toxicology and Mutagenesis. Recurrent topics in Peer Nowack's work include Climate variability and models (17 papers), Atmospheric Ozone and Climate (16 papers) and Atmospheric chemistry and aerosols (14 papers). Peer Nowack is often cited by papers focused on Climate variability and models (17 papers), Atmospheric Ozone and Climate (16 papers) and Atmospheric chemistry and aerosols (14 papers). Peer Nowack collaborates with scholars based in United Kingdom, Germany and United States. Peer Nowack's co-authors include Paulo Ceppi, Nathan Luke Abraham, Peter Braesicke, J. A. Pyle, Joanna D. Haigh, Jakob Runge, Veronika Eyring, Apostolos Voulgarakis, Grant L. Forster and Manoj Joshi and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Nature Communications and SHILAP Revista de lepidopterología.

In The Last Decade

Peer Nowack

33 papers receiving 960 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Peer Nowack United Kingdom 16 607 604 156 153 125 36 982
Wei‐Liang Lee Taiwan 17 710 1.2× 685 1.1× 88 0.6× 130 0.8× 51 0.4× 52 980
Quanliang Chen China 21 978 1.6× 1.0k 1.7× 232 1.5× 57 0.4× 372 3.0× 99 1.5k
Jonathan P. Taylor United Kingdom 25 1.4k 2.4× 1.5k 2.4× 85 0.5× 28 0.2× 117 0.9× 63 1.8k
Xueliang Guo China 16 774 1.3× 829 1.4× 197 1.3× 42 0.3× 159 1.3× 69 1.0k
Shijin Wang China 20 146 0.2× 401 0.7× 42 0.3× 105 0.7× 79 0.6× 66 1.1k
G. Dufour France 26 1.1k 1.9× 1.4k 2.4× 169 1.1× 50 0.3× 257 2.1× 79 1.6k
Hai Nguyen United States 13 416 0.7× 313 0.5× 174 1.1× 41 0.3× 71 0.6× 38 692
Mossad El‐Metwally Egypt 16 384 0.6× 281 0.5× 92 0.6× 56 0.4× 48 0.4× 31 748
A. Quirantes Spain 15 426 0.7× 387 0.6× 36 0.2× 41 0.3× 62 0.5× 32 754
Junye Chen United States 12 1.1k 1.8× 984 1.6× 76 0.5× 37 0.2× 18 0.1× 30 1.4k

Countries citing papers authored by Peer Nowack

Since Specialization
Citations

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

Fields of papers citing papers by Peer Nowack

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Peer Nowack

This figure shows the co-authorship network connecting the top 25 collaborators of Peer Nowack. A scholar is included among the top collaborators of Peer Nowack 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 Peer Nowack. Peer Nowack 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.
Forster, Grant L., et al.. (2026). Divergent Ozone Predictions in China Under Carbon Neutrality: Why Chemical Mechanisms Disagree. Environmental Science & Technology. 60(2). 1977–1989.
2.
Nowack, Peer & Duncan Watson‐Parris. (2025). Opinion: Why all emergent constraints are wrong but some are useful – a machine learning perspective. Atmospheric chemistry and physics. 25(4). 2365–2384. 3 indexed citations
3.
Ceppi, Paulo, et al.. (2024). A systematic evaluation of high-cloud controlling factors. Atmospheric chemistry and physics. 24(14). 8295–8316. 5 indexed citations
4.
Andersen, Hendrik, Jan Čermák, Timothy A. Myers, et al.. (2023). Sensitivities of cloud radiative effects to large-scale meteorology and aerosols from global observations. Atmospheric chemistry and physics. 23(18). 10775–10794. 12 indexed citations
5.
Griffiths, Paul T., et al.. (2023). Short-term forecasting of ozone air pollution across Europe with transformers. SHILAP Revista de lepidopterología. 2. 6 indexed citations
6.
Nowack, Peer, Paulo Ceppi, Sean Davis, et al.. (2023). Response of stratospheric water vapour to warming constrained by satellite observations. Nature Geoscience. 16(7). 577–583. 15 indexed citations
7.
Forster, Grant L., et al.. (2022). A machine learning approach to quantify meteorological drivers of ozone pollution in China from 2015 to 2019. Atmospheric chemistry and physics. 22(12). 8385–8402. 64 indexed citations
8.
Keeble, James, Birgit Haßler, Antara Banerjee, et al.. (2021). Evaluating stratospheric ozone and water vapor changes in CMIP6 models from 1850-2100 . 2 indexed citations
9.
Voulgarakis, Apostolos, et al.. (2021). The importance of antecedent vegetation and drought conditions as global drivers of burnt area. Biogeosciences. 18(12). 3861–3879. 26 indexed citations
10.
Chiodo, Gabriel, William T. Ball, Peer Nowack, et al.. (2021). The response of the ozone layer under abrupt 4xCO2 in CMIP6. 1 indexed citations
11.
Nowack, Peer, et al.. (2021). Machine learning calibration of low-cost NO 2 and PM 10 sensors: non-linear algorithms and their impact on site transferability. Atmospheric measurement techniques. 14(8). 5637–5655. 33 indexed citations
12.
Voulgarakis, Apostolos, et al.. (2021). An unsupervised learning approach to identifying blocking events: the case of European summer. Weather and Climate Dynamics. 2(3). 581–608. 11 indexed citations
13.
Voulgarakis, Apostolos, et al.. (2020). Quantifying the Importance of Antecedent Fuel-Related VegetationProperties for Burnt Area using Random Forests. Spiral (Imperial College London). 2 indexed citations
14.
Malik, Abdul, Peer Nowack, Joanna D. Haigh, et al.. (2020). Tropical Pacific climate variability under solar geoengineering: impacts on ENSO extremes. Atmospheric chemistry and physics. 20(23). 15461–15485. 14 indexed citations
15.
16.
Malik, Abdul, Peer Nowack, Joanna D. Haigh, et al.. (2019). Tropical Pacific Climate Variability under Solar Geoengineering: Impacts on ENSO Extremes. 1 indexed citations
17.
Nikolka, Mark, Katharina Broch, John Armitage, et al.. (2019). High-mobility, trap-free charge transport in conjugated polymer diodes. Nature Communications. 10(1). 2122–2122. 119 indexed citations
18.
Nowack, Peer & Jakob Runge. (2018). Large-scale causal network discovery in CMIP5 models: robustness and intercomparison. AGU Fall Meeting Abstracts. 2018. 2 indexed citations
19.
Nowack, Peer, Nathan Luke Abraham, Peter Braesicke, & J. A. Pyle. (2016). Stratospheric ozone changes under solar geoengineering: implications for UV exposure and air quality. Atmospheric chemistry and physics. 16(6). 4191–4203. 38 indexed citations
20.
Nowack, Peer, Nathan Luke Abraham, Peter Braesicke, & J. A. Pyle. (2015). Ozone changes under solar geoengineering: implications for UV exposure and air quality. UEA Digital Repository (University of East Anglia). 7 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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