Irina Sandu

5.0k citations
59 papers · 2.0k indexed · 1 hit paper · h-index 26

Irina Sandu

57 papers receiving 2.0k citations

Hit Papers

The Rise of Data-Driven Weather Forecasting: A First Stat...70202420262025204060

Peers

Irina Sandu
Comparison fields: 5 of 79
  • Atmospheric Science 1.8k
  • Global and Planetary Change 1.6k
  • Earth-Surface Processes 145
  • Environmental Engineering 254
  • Oceanography 210
Replace Giovanni Martucci with:
Giovanni Martucci Switzerland
Ming Hu United States
Derek J. Posselt United States
Cathy Hohenegger Germany
Yann Seity France
Eric James United States
J. Teixeira United States
Curtis R. Alexander United States
Günther Zängl Germany
J. D. Price United Kingdom
Irina Sandu relative to Giovanni Martucci Switzerland Giovanni Martucci's profile →
Citations per field
00.5×3.7×
Giovanni Martucci · 1×
Citations per year

Countries citing papers authored by Irina Sandu

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

The 25 scholars most cited alongside Irina Sandu, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Irina Sandu Line = papers co-authored together Irina Sandu links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 20250
2
The Rise of Data-Driven Weather Forecasting: A First Statistical Assessment of Machine Learning–Based Weather Forecasts in an Operational-Like Contextbreakdown →
202470
3 202217
4 20228
5 202211
6 20224
7 20221
8 202119
9 202137
10 202012
11 201932
12 201943
13 201915
14 20188
15 201535
16
Evaluation of the Gaussian puff model based on measurements
20140
17
Fluoride dispersion modeling for „river-type” systems
20121
18 201084
19 200919
20 200850

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), Atmospheric aerosols and clouds (13 papers), Atmospheric chemistry and aerosols (11 papers), Atmospheric and Environmental Gas Dynamics (10 papers), Cryospheric studies and observations (9 papers), Arctic and Antarctic ice dynamics (8 papers) and Ionosphere and magnetosphere dynamics (5 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.

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.

Explore authors with similar magnitude of impact

Rankless by CCL
2026