Daniela Matei
- Atmospheric Science top 1%
- Meteorological Phenomena and Simulations 20
- Arctic and Antarctic ice dynamics 17
- Climate change and permafrost 7
- Tropical and Extratropical Cyclones Research 7
- Geology and Paleoclimatology Research 5
- Global and Planetary Change top 0.5%
- Climate variability and models 44
- Atmospheric and Environmental Gas Dynamics 7
- Oceanography top 1%
- Oceanographic and Atmospheric Processes 21
- Environmental Chemistry top 10%
- Ecological Modeling top 10%
Daniela Matei
51 papers receiving 2.7k citations
Hit Papers
Peers
Comparison fields: 5 of 96
- Atmospheric Science 2.0k
- Global and Planetary Change 2.2k
- Oceanography 869
- Environmental Chemistry 82
- Ecological Modeling 34
Countries citing papers authored by Daniela Matei
This map shows the geographic impact of Daniela Matei'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 Daniela Matei with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Daniela Matei more than expected).
Fields of papers citing papers by Daniela Matei
This network shows the impact of papers produced by Daniela Matei. 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 Daniela Matei. The network helps show where Daniela Matei may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Daniela Matei, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2024 | 1 | |
| 2 | 2023 | 1 | |
| 3 | 2022 | 4 | |
| 4 | 2022 | 23 | |
| 5 | 2021 | 17 | |
| 6 | 2020 | 17 | |
| 7 | 2020 | 41 | |
| 8 | 2019 | 225 | |
| 9 | 2018 | 109 | |
| 10 | 2016 | 25 | |
| 11 | 2016 | 25 | |
| 12 | 2016 | 3 | |
| 13 | 2015 | 3 | |
| 14 | Decadal predictability of SST in the Atlantic domain of the Nordic Seas in three CMIP5 models | 2015 | 1 |
| 15 | 2014 | 20 | |
| 16 | 2014 | 26 | |
| 17 | Quantifying the potential to predict Arctic climate on seasonal to interannual time scales | 2013 | 1 |
| 18 | RESEARCH REGARDING THE BEHAVIOR OF CLONAL FETEASCA NEAGRA 10 PT TO LOCAL CLIMATE CHANGES | 2013 | 1 |
| 19 | 2013 | 74 | |
| 20 | Interannual Predictability Of North Atlantic Oscillation | 2002 | 1 |
About Daniela Matei
Daniela Matei is a scholar working on Atmospheric Science, Global and Planetary Change and Oceanography, having authored 52 papers that have together received 2.8k indexed citations. Recurring topics across this work include Climate variability and models (44 papers), Oceanographic and Atmospheric Processes (21 papers), Meteorological Phenomena and Simulations (20 papers), Arctic and Antarctic ice dynamics (17 papers), Atmospheric and Environmental Gas Dynamics (7 papers), Climate change and permafrost (7 papers), Tropical and Extratropical Cyclones Research (7 papers) and Geology and Paleoclimatology Research (5 papers). The work is most often cited by research in Atmospheric Science (2.0k citations), Global and Planetary Change (2.2k citations) and Oceanography (869 citations). Daniela Matei has collaborated with scholars based in Germany, Norway and United Kingdom. Frequent co-authors include Johann Jungclaus, Jochem Marotzke, Helmuth Haak, Dirk Notz, Uwe Mikolajewicz, Katja Lohmann, Jin‐Song von Storch, Jürgen Bader, N. Fischer and Wolfgang A. Müller. Their work appears in journals such as Climate Dynamics, Geophysical Research Letters, Journal of Climate, Journal of Geophysical Research Atmospheres and Geoscientific model development.
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.