Irina Sandu
- Atmospheric Science top 1%
- Global and Planetary Change top 1%
- Environmental Engineering top 5%
- Oceanography top 5%
- Earth-Surface Processes top 5%
- Co-authors
- Björn StevensAnton BeljaarsPeter BechtoldGianpaolo BalsamoFelix PithanTheodore G. ShepherdThorsten MauritsenSouhail Boussetta
- Topics
- Climate variability and models (36 papers)Meteorological Phenomena and Simulations (36 papers)Atmospheric aerosols and clouds (13 papers)
- Partner nations
- United KingdomUnited StatesGermany
In The Last Decade
Irina Sandu
57 papers receiving 2.0k citations
Hit Papers
Peers
Comparison fields: 5 of 79
- Atmospheric Science 1.8k
- Global and Planetary Change 1.6k
- Environmental Engineering 254
- Oceanography 210
- Earth-Surface Processes 145
Countries citing papers authored by Irina Sandu
This map shows the geographic impact of Irina Sandu'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 Sandu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Irina Sandu more than expected).
Fields of papers citing papers by Irina Sandu
This network shows the impact of papers produced by Irina Sandu. 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 Sandu. The network helps show where Irina Sandu may publish in the future.
Co-authorship network of co-authors of Irina Sandu
This figure shows the co-authorship network connecting the top 25 collaborators of Irina Sandu. A scholar is included among the top collaborators of Irina Sandu 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 Sandu. Irina Sandu is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | The Rise of Data-Driven Weather Forecasting: A First Statistical Assessment of Machine Learning–Based Weather Forecasts in an Operational-Like Contextbreakdown → | 70 |
| 3 | 17 | |
| 4 | 8 | |
| 5 | 11 | |
| 6 | 4 | |
| 7 | 1 | |
| 8 | 19 | |
| 9 | 37 | |
| 10 | 12 | |
| 11 | 32 | |
| 12 | 43 | |
| 13 | 15 | |
| 14 | 8 | |
| 15 | 35 | |
| 16 | Evaluation of the Gaussian puff model based on measurements | 0 |
| 17 | Fluoride dispersion modeling for „river-type” systems | 1 |
| 18 | 84 | |
| 19 | 19 | |
| 20 | 50 |
About Irina Sandu
Irina Sandu is a scholar working on Atmospheric Science, Global and Planetary Change and Earth-Surface Processes, having authored 59 papers that have together received 2.0k indexed citations. Recurring topics across this work include Climate variability and models (36 papers), Meteorological Phenomena and Simulations (36 papers) and Atmospheric aerosols and clouds (13 papers). The work is most often cited by research in Atmospheric Science (1.8k citations), Global and Planetary Change (1.6k citations) and Earth-Surface Processes (145 citations). Irina Sandu has collaborated with scholars based in United Kingdom, United States and Germany. Frequent co-authors include Björn Stevens, Anton Beljaars, Peter Bechtold, Gianpaolo Balsamo, Felix Pithan, Theodore G. Shepherd, Thorsten Mauritsen, Souhail Boussetta, Olivier Geoffroy and Robert Pincus. Their work appears in journals such as Journal of Climate, Geophysical Research Letters and Journal of the Atmospheric Sciences.
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.