Irina Mahlstein
- Global and Planetary Change top 2%
- Atmospheric Science top 5%
- Oceanography top 10%
- Ecology, Evolution, Behavior and Systematics top 10%
- Health, Toxicology and Mutagenesis
- Co-authors
- Reto KnuttiSusan SolomonR. W. PortmannJ. S. DanielPeter R. GentJan ČermákNathalie SchallerOlivia Martius
- Topics
- Climate variability and models (15 papers)Meteorological Phenomena and Simulations (8 papers)Atmospheric and Environmental Gas Dynamics (7 papers)
- Partner nations
- SwitzerlandUnited StatesUnited Kingdom
In The Last Decade
Irina Mahlstein
18 papers receiving 1.0k citations
Peers
Comparison fields: 5 of 72
- Global and Planetary Change 871
- Atmospheric Science 691
- Oceanography 98
- Ecology, Evolution, Behavior and Systematics 76
- Health, Toxicology and Mutagenesis 63
Countries citing papers authored by Irina Mahlstein
This map shows the geographic impact of Irina Mahlstein'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 Irina Mahlstein with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Irina Mahlstein more than expected).
Fields of papers citing papers by Irina Mahlstein
This network shows the impact of papers produced by Irina Mahlstein. 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 Irina Mahlstein. The network helps show where Irina Mahlstein may publish in the future.
Co-authorship network of co-authors of Irina Mahlstein
This figure shows the co-authorship network connecting the top 25 collaborators of Irina Mahlstein. A scholar is included among the top collaborators of Irina Mahlstein 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 Irina Mahlstein. Irina Mahlstein is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 9 | |
| 3 | 8 | |
| 4 | 17 | |
| 5 | 80 | |
| 6 | 124 | |
| 7 | 68 | |
| 8 | 21 | |
| 9 | 43 | |
| 10 | 123 | |
| 11 | 65 | |
| 12 | September Arctic sea ice predicted to disappear for 2°C global warming above present | 2 |
| 13 | 75 | |
| 14 | 218 | |
| 15 | 34 | |
| 16 | 80 | |
| 17 | Constraints on climate sensitivity from radiation patterns in climate models | 1 |
| 18 | 73 |
About Irina Mahlstein
Irina Mahlstein is a scholar working on Global and Planetary Change, Atmospheric Science and Ecological Modeling, having authored 18 papers that have together received 1.0k indexed citations. Recurring topics across this work include Climate variability and models (15 papers), Meteorological Phenomena and Simulations (8 papers) and Atmospheric and Environmental Gas Dynamics (7 papers). The work is most often cited by research in Global and Planetary Change (871 citations), Atmospheric Science (691 citations) and Ecological Modeling (47 citations). Irina Mahlstein has collaborated with scholars based in Switzerland, United States and United Kingdom. Frequent co-authors include Reto Knutti, Susan Solomon, R. W. Portmann, J. S. Daniel, Peter R. Gent, Jan Čermák, Nathalie Schaller, Olivia Martius, David Ginsbourger and Clément Chevalier. Their work appears in journals such as Journal of Geophysical Research Atmospheres, Journal of Climate and Geophysical Research Letters.
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.