Maria Rugenstein

109 total papers · 3.4k total citations
41 papers, 1.1k 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 1.1k 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, Germany and United Kingdom. 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

37 papers receiving 1.1k citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Maria Rugenstein 957 783 306 91 44 41 1.1k
S. Tytéca 1.1k 1.1× 825 1.1× 231 0.8× 105 1.2× 29 0.7× 19 1.3k
Cristian Proistosescu 804 0.8× 766 1.0× 199 0.7× 43 0.5× 30 0.7× 32 998
Tracy Ewen 979 1.0× 894 1.1× 327 1.1× 59 0.6× 135 3.1× 33 1.4k
Zoran Pasarić 433 0.5× 449 0.6× 511 1.7× 121 1.3× 20 0.5× 53 1.1k
David Saint‐Martin 1.2k 1.3× 1.0k 1.3× 219 0.7× 109 1.2× 19 0.4× 41 1.4k
S. Manabe 946 1.0× 960 1.2× 203 0.7× 35 0.4× 95 2.2× 19 1.4k
H. B. Gordon 1.1k 1.1× 929 1.2× 349 1.1× 30 0.3× 40 0.9× 34 1.4k
N. G. Andronova 1.1k 1.2× 1.1k 1.4× 149 0.5× 110 1.2× 23 0.5× 18 1.4k
Jörg Schwinger 990 1.0× 582 0.7× 851 2.8× 46 0.5× 176 4.0× 52 1.5k
Yue Dong 824 0.9× 729 0.9× 247 0.8× 18 0.2× 22 0.5× 24 1.0k

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

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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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