Maria Rugenstein

3.4k total citations
41 papers, 1.2k citations indexed

About

Maria Rugenstein is a scholar working on Global and Planetary Change, Atmospheric Science and Oceanography. According to data from OpenAlex, Maria Rugenstein has authored 41 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 37 papers in Global and Planetary Change, 32 papers in Atmospheric Science and 14 papers in Oceanography. Recurrent topics in Maria Rugenstein's work include Climate variability and models (37 papers), Atmospheric and Environmental Gas Dynamics (19 papers) and Meteorological Phenomena and Simulations (12 papers). Maria Rugenstein is often cited by papers focused on Climate variability and models (37 papers), Atmospheric and Environmental Gas Dynamics (19 papers) and Meteorological Phenomena and Simulations (12 papers). Maria Rugenstein collaborates with scholars based in United States, United Kingdom and Germany. Maria Rugenstein's co-authors include Reto Knutti, Gabriele C. Hegerl, Jonah Bloch‐Johnson, Ken Caldeira, Dirk Olonscheck, Jonathan M. Gregory, Michael Winton, Jochem Marotzke, Shuting Yang and Jan Sedláčék and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Nature Communications and Journal of Climate.

In The Last Decade

Maria Rugenstein

38 papers receiving 1.1k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Maria Rugenstein United States 18 969 792 309 91 44 41 1.2k
S. Tytéca France 17 1.1k 1.1× 827 1.0× 231 0.7× 105 1.2× 29 0.7× 19 1.3k
Cristian Proistosescu United States 17 815 0.8× 775 1.0× 201 0.7× 45 0.5× 30 0.7× 32 1.0k
Gilles Bellon France 21 1.7k 1.7× 1.4k 1.8× 513 1.7× 110 1.2× 14 0.3× 57 1.8k
Guillaume Gastineau France 24 1.7k 1.7× 1.5k 1.9× 724 2.3× 26 0.3× 44 1.0× 63 2.0k
Phil Duffy United States 4 375 0.4× 347 0.4× 271 0.9× 50 0.5× 106 2.4× 8 640
Karen M. Shell United States 18 1.9k 1.9× 1.9k 2.4× 259 0.8× 37 0.4× 37 0.8× 22 2.2k
Youichi Kamae Japan 26 1.4k 1.4× 1.3k 1.7× 360 1.2× 21 0.2× 41 0.9× 56 1.5k
Michael Kliphuis Netherlands 12 408 0.4× 446 0.6× 222 0.7× 20 0.2× 33 0.8× 22 651
Marlos Góes United States 16 589 0.6× 334 0.4× 499 1.6× 92 1.0× 32 0.7× 42 800
Jennifer Mecking United Kingdom 16 577 0.6× 516 0.7× 416 1.3× 13 0.1× 52 1.2× 32 787

Countries citing papers authored by Maria Rugenstein

Since Specialization
Citations

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

Fields of papers citing papers by Maria Rugenstein

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Maria Rugenstein

This figure shows the co-authorship network connecting the top 25 collaborators of Maria Rugenstein. A scholar is included among the top collaborators of Maria Rugenstein 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 Maria Rugenstein. Maria Rugenstein 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.
Rugenstein, Maria, et al.. (2025). Convolutional Neural Networks Trained on Internal Variability Predict Forced Response of TOA Radiation by Learning the Pattern Effect. Geophysical Research Letters. 52(4). 3 indexed citations
2.
Bloch‐Johnson, Jonah, Maria Rugenstein, Cristian Proistosescu, et al.. (2024). The Green's Function Model Intercomparison Project (GFMIP) Protocol. Journal of Advances in Modeling Earth Systems. 16(2). 21 indexed citations
3.
Rugenstein, Maria, et al.. (2024). Potential Near‐Term Wetting of the Southwestern United States if the Eastern and Central Pacific Cooling Trend Reverses. Geophysical Research Letters. 51(13). 4 indexed citations
4.
Fredriksen, Hege‐Beate, Chris Smith, Angshuman Modak, & Maria Rugenstein. (2023). 21st Century Scenario Forcing Increases More for CMIP6 Than CMIP5 Models. Geophysical Research Letters. 50(6). 14 indexed citations
5.
Rugenstein, Maria, et al.. (2023). Surface Temperature Pattern Scenarios Suggest Higher Warming Rates Than Current Projections. Geophysical Research Letters. 50(23). 16 indexed citations
6.
Rugenstein, Maria, Mark D. Zelinka, Kristopher B. Karnauskas, Paulo Ceppi, & Timothy Andrews. (2023). Patterns of Surface Warming Matter for Climate Sensitivity. Eos. 104. 15 indexed citations
7.
Rugenstein, Maria & Maria Z. Hakuba. (2023). Connecting Hemispheric Asymmetries of Planetary Albedo and Surface Temperature. Geophysical Research Letters. 50(6). 7 indexed citations
8.
Sanderson, Benjamin M. & Maria Rugenstein. (2022). Potential for bias in effective climate sensitivity from state-dependent energetic imbalance. Earth System Dynamics. 13(4). 1715–1736. 1 indexed citations
9.
Rugenstein, Maria, et al.. (2022). El Niño–Southern Oscillation (ENSO) predictability in equilibrated warmer climates. Earth System Dynamics. 13(4). 1611–1623. 5 indexed citations
10.
Bonan, David, Andrew F. Thompson, Emily R. Newsom, Shantong Sun, & Maria Rugenstein. (2022). Transient and Equilibrium Responses of the Atlantic Overturning Circulation to Warming in Coupled Climate Models: The Role of Temperature and Salinity. Journal of Climate. 35(15). 5173–5193. 28 indexed citations
11.
King, Andrew D., Josephine R. Brown, David J. Frame, et al.. (2021). Transient and Quasi‐Equilibrium Climate States at 1.5°C and 2°C Global Warming. Earth s Future. 9(11). 21 indexed citations
12.
Fredriksen, Hege‐Beate, Maria Rugenstein, & Rune Grand Graversen. (2021). Estimating Radiative Forcing With a Nonconstant Feedback Parameter and Linear Response. Journal of Geophysical Research Atmospheres. 126(24). 3 indexed citations
13.
He, Jie, et al.. (2021). Mechanisms of Fast Walker Circulation Responses to CO2 Forcing. Geophysical Research Letters. 48(23). 3 indexed citations
14.
Rugenstein, Maria & Kyle C. Armour. (2021). Three Flavors of Radiative Feedbacks and Their Implications for Estimating Equilibrium Climate Sensitivity. Geophysical Research Letters. 48(15). 25 indexed citations
15.
Bloch‐Johnson, Jonah, et al.. (2020). Climate Sensitivity Increases Under Higher CO 2 Levels Due to Feedback Temperature Dependence. AGU Fall Meeting Abstracts. 2020. 1 indexed citations
16.
Rugenstein, Maria, Jonah Bloch‐Johnson, Jonathan M. Gregory, et al.. (2019). Equilibrium Climate Sensitivity Estimated by Equilibrating Climate Models. Geophysical Research Letters. 47(4). 100 indexed citations
17.
Rugenstein, Maria, Ken Caldeira, & Reto Knutti. (2016). Dependence of global radiative feedbacks on evolving patterns of surface heat fluxes. Geophysical Research Letters. 43(18). 9877–9885. 77 indexed citations
18.
Rugenstein, Maria, Jan Sedláčék, & Reto Knutti. (2016). Nonlinearities in patterns of long‐term ocean warming. Geophysical Research Letters. 43(7). 3380–3388. 28 indexed citations
19.
Rugenstein, Maria & Reto Knutti. (2015). Feedbacks, climate sensitivity, and the limits of linear models. AGU Fall Meeting Abstracts. 2015. 6 indexed citations
20.
Knutti, Reto & Maria Rugenstein. (2015). Feedbacks, climate sensitivity and the limits of linear models. Philosophical Transactions of the Royal Society A Mathematical Physical and Engineering Sciences. 373(2054). 20150146–20150146. 105 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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