Veronika Eyring

41.8k total citations · 8 hit papers
122 papers, 17.9k citations indexed

About

Veronika Eyring is a scholar working on Atmospheric Science, Global and Planetary Change and Environmental Engineering. According to data from OpenAlex, Veronika Eyring has authored 122 papers receiving a total of 17.9k indexed citations (citations by other indexed papers that have themselves been cited), including 90 papers in Atmospheric Science, 77 papers in Global and Planetary Change and 26 papers in Environmental Engineering. Recurrent topics in Veronika Eyring's work include Atmospheric and Environmental Gas Dynamics (50 papers), Climate variability and models (50 papers) and Atmospheric chemistry and aerosols (48 papers). Veronika Eyring is often cited by papers focused on Atmospheric and Environmental Gas Dynamics (50 papers), Climate variability and models (50 papers) and Atmospheric chemistry and aerosols (48 papers). Veronika Eyring collaborates with scholars based in Germany, United States and United Kingdom. Veronika Eyring's co-authors include Gerald A. Meehl, Karl E. Taylor, Ronald J. Stouffer, C. A. Senior, Björn Stevens, Sandrine Bony, Axel Lauer, Jean‐François Lamarque, Reto Knutti and Pierre Friedlingstein and has published in prestigious journals such as Nature, Proceedings of the National Academy of Sciences and Nature Communications.

In The Last Decade

Veronika Eyring

114 papers receiving 17.5k citations

Hit Papers

Overview of the Coupled M... 2005 2026 2012 2019 2016 2016 2007 2009 2005 2.0k 4.0k 6.0k
What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

  1. Overview of the Coupled Model Intercomparison Project Phase 6 (CMIP6) experimental design and organization
    2016 7.3k citations Veronika Eyring, Gerald A. Meehl et al. Geoscientific model development profile →
  2. The Scenario Model Intercomparison Project (ScenarioMIP) for CMIP6
    2016 3.2k citations Brian C. O’Neill, Claudia Tebaldi et al. Geoscientific model development profile →
  3. Mortality from Ship Emissions: A Global Assessment
    2007 845 citations Veronika Eyring, Axel Lauer et al. profile →
  4. Transport impacts on atmosphere and climate: Shipping
    2009 706 citations Veronika Eyring, W. J. Collins et al. profile →
  5. Emissions from international shipping: 1. The last 50 years
    2005 542 citations Veronika Eyring, Axel Lauer et al. profile →
  6. Context for interpreting equilibrium climate sensitivity and transient climate response from the CMIP6 Earth system models
    2020 427 citations Gerald A. Meehl, Veronika Eyring et al. profile →
  7. A climate model projection weighting scheme accounting for performance and interdependence
    2017 302 citations Reto Knutti, Benjamin M. Sanderson et al. profile →
  8. Causal inference for time series
    2023 107 citations Jakob Runge, Andreas Gerhardus et al. profile →

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Veronika Eyring Germany 39 11.8k 10.8k 3.6k 2.1k 1.9k 122 17.9k
W. J. Collins United Kingdom 54 5.3k 0.5× 6.3k 0.6× 1.4k 0.4× 317 0.2× 890 0.5× 128 9.6k
Yang Hong United States 79 18.2k 1.5× 18.0k 1.7× 5.5k 1.5× 2.6k 1.3× 448 0.2× 481 28.6k
P. S. Kasibhatla United States 52 11.2k 1.0× 9.4k 0.9× 2.2k 0.6× 338 0.2× 1.1k 0.6× 97 15.6k
Cort J. Willmott United States 26 6.7k 0.6× 4.7k 0.4× 3.2k 0.9× 1.3k 0.6× 232 0.1× 45 14.3k
Steven K. Rose United States 28 7.8k 0.7× 3.8k 0.4× 1.9k 0.5× 1.1k 0.5× 113 0.1× 65 14.2k
Mikiko Kainuma Japan 25 7.5k 0.6× 4.0k 0.4× 1.7k 0.5× 1.1k 0.5× 107 0.1× 56 13.2k
Panmao Zhai China 52 8.7k 0.7× 7.2k 0.7× 1.7k 0.5× 644 0.3× 124 0.1× 188 12.0k
Allison M. Thomson United States 38 13.0k 1.1× 6.2k 0.6× 2.3k 0.7× 1.6k 0.8× 108 0.1× 79 22.3k
Dev Niyogi United States 75 14.0k 1.2× 9.4k 0.9× 5.2k 1.5× 976 0.5× 78 0.0× 391 20.8k
Shamsuddin Shahid Malaysia 76 11.9k 1.0× 4.7k 0.4× 4.9k 1.4× 650 0.3× 62 0.0× 476 18.4k

Countries citing papers authored by Veronika Eyring

Since Specialization
Citations

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

Fields of papers citing papers by Veronika Eyring

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Veronika Eyring

This figure shows the co-authorship network connecting the top 25 collaborators of Veronika Eyring. A scholar is included among the top collaborators of Veronika Eyring 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 Veronika Eyring. Veronika Eyring 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.
Schwabe, Mierk, et al.. (2024). Interpretable Multiscale Machine Learning‐Based Parameterizations of Convection for ICON. Journal of Advances in Modeling Earth Systems. 16(8). 4 indexed citations
2.
Beucler, Tom, et al.. (2024). Data‐Driven Equation Discovery of a Cloud Cover Parameterization. Journal of Advances in Modeling Earth Systems. 16(3). 10 indexed citations
3.
Lauer, Axel, et al.. (2024). Characterizing clouds with the CCClim dataset, a machine learning cloud class climatology. Earth system science data. 16(6). 3001–3016. 1 indexed citations
4.
Schlund, Manuel, Birgit Haßler, Axel Lauer, et al.. (2023). Evaluation of native Earth system model output with ESMValTool v2.6.0. Geoscientific model development. 16(1). 315–333. 6 indexed citations
5.
Runge, Jakob, et al.. (2023). Regime-oriented causal model evaluation of Atlantic–Pacific teleconnections in CMIP6. Earth System Dynamics. 14(2). 309–344. 12 indexed citations
6.
Beucler, Tom, et al.. (2022). Deep Learning Based Cloud Cover Parameterization for ICON. Journal of Advances in Modeling Earth Systems. 14(12). e2021MS002959–e2021MS002959. 23 indexed citations
7.
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.
Lauer, Axel, Veronika Eyring, Omar Bellprat, et al.. (2020). Earth System Model Evaluation Tool (ESMValTool) v2.0 – diagnostics for emergent constraints and future projections from Earth system models in CMIP. Geoscientific model development. 13(9). 4205–4228. 25 indexed citations
10.
Schlund, Manuel, Axel Lauer, Pierre Gentine, Steven C. Sherwood, & Veronika Eyring. (2020). Emergent constraints on equilibrium climate sensitivity in CMIP5: do they hold for CMIP6?. Earth System Dynamics. 11(4). 1233–1258. 104 indexed citations
11.
Righi, Mattia, Bouwe Andela, Veronika Eyring, et al.. (2019). ESMValTool v2.0 – Technical overview. 2 indexed citations
12.
Heinze, Christoph, Veronika Eyring, Pierre Friedlingstein, et al.. (2019). ESD Reviews: Climate feedbacks in the Earth system and prospects for their evaluation. Earth System Dynamics. 10(3). 379–452. 60 indexed citations
13.
O’Neill, Brian C., Claudia Tebaldi, Detlef P. van Vuuren, et al.. (2016). The Scenario Model Intercomparison Project (ScenarioMIP) for CMIP6. Geoscientific model development. 9(9). 3461–3482. 3167 indexed citations breakdown →
14.
Eyring, Veronika, P. J. Gleckler, Christoph Heinze, et al.. (2016). Towards improved and more routine Earth system model evaluation in CMIP. Earth System Dynamics. 7(4). 813–830. 77 indexed citations
15.
Gettelman, Andrew, Veronika Eyring, Hisako Shiona, et al.. (2012). A community diagnostic tool for chemistry climate model validation. Geoscientific model development. 5(5). 1061–1073. 6 indexed citations
16.
Cionni, Irene, Veronika Eyring, Jean‐François Lamarque, et al.. (2011). Ozone database in support of CMIP5 simulations: results and corresponding radiative forcing. Atmospheric chemistry and physics. 11(21). 11267–11292. 227 indexed citations
17.
Braesicke, Peter, Carsten A. Brühl, M. Dameris, et al.. (2008). A model intercomparison analysing the link between column ozone and geopotential height anomalies in January. Atmospheric chemistry and physics. 8(9). 2519–2535. 4 indexed citations
18.
Lauer, Axel, Veronika Eyring, Johannes Hendricks, Patrick Jöckel, & Ulrike Lohmann. (2007). Global model simulations of the impact of ocean-going ships on aerosols, clouds, and the radiation budget. Atmospheric chemistry and physics. 7(19). 5061–5079. 175 indexed citations
19.
Eyring, Veronika, David S. Stevenson, Axel Lauer, et al.. (2007). Multi-model simulations of the impact of international shipping on Atmospheric Chemistry and Climate in 2000 and 2030. Atmospheric chemistry and physics. 7(3). 757–780. 105 indexed citations
20.
Erbertseder, Thilo, Veronika Eyring, Michael Bittner, M. Dameris, & Volker Grewe. (2006). Hemispheric ozone variability indices derived from satellite observations and comparison to a coupled chemistry-climate model. Atmospheric chemistry and physics. 6(12). 5105–5120. 2 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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