Álvaro Sánchez‐González
- Atmospheric Science top 5%
- Global and Planetary Change top 5%
- Environmental Engineering top 5%
- Ecology top 10%
- Artificial Intelligence top 10%
- Co-authors
- Peter BattagliaStephan HoyerTimo EwaldsFerran AletShakir MohamedRémi LamLuis M. Torres‐VilaSuman Ravuri
- Topics
- Forest Insect Ecology and Management (9 papers)Forest Ecology and Biodiversity Studies (5 papers)Climate variability and models (4 papers)
- Partner nations
- United KingdomSpainUnited States
In The Last Decade
Álvaro Sánchez‐González
24 papers receiving 1.1k citations
Hit Papers
Peers
Comparison fields: 5 of 112
- Atmospheric Science 457
- Global and Planetary Change 386
- Environmental Engineering 200
- Ecology 170
- Artificial Intelligence 150
Countries citing papers authored by Álvaro Sánchez‐González
This map shows the geographic impact of Álvaro Sánchez‐González'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 Álvaro Sánchez‐González with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Álvaro Sánchez‐González more than expected).
Fields of papers citing papers by Álvaro Sánchez‐González
This network shows the impact of papers produced by Álvaro Sánchez‐González. 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 Álvaro Sánchez‐González. The network helps show where Álvaro Sánchez‐González may publish in the future.
Co-authorship network of co-authors of Álvaro Sánchez‐González
This figure shows the co-authorship network connecting the top 25 collaborators of Álvaro Sánchez‐González. A scholar is included among the top collaborators of Álvaro Sánchez‐González 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 Álvaro Sánchez‐González. Álvaro Sánchez‐González is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | Neural general circulation models for weather and climatebreakdown → | 153 |
| 2 | Probabilistic weather forecasting with machine learningbreakdown → | 96 |
| 3 | Learning skillful medium-range global weather forecastingbreakdown → | 535 |
| 4 | 2 | |
| 5 | 7 | |
| 6 | 6 | |
| 7 | Combining Q-Learning and Search with Amortized Value Estimates | 6 |
| 8 | Discovering Symbolic Models from Deep Learning with Inductive Biases | 1 |
| 9 | 1 | |
| 10 | 12 | |
| 11 | 10 | |
| 12 | 16 | |
| 13 | 32 | |
| 14 | 10 | |
| 15 | 11 | |
| 16 | 20 | |
| 17 | 2 | |
| 18 | 32 | |
| 19 | 34 | |
| 20 | 40 |
About Álvaro Sánchez‐González
Álvaro Sánchez‐González is a scholar working on Structural Biology, Insect Science and Ecology, having authored 24 papers that have together received 1.2k indexed citations. Recurring topics across this work include Forest Insect Ecology and Management (9 papers), Forest Ecology and Biodiversity Studies (5 papers) and Climate variability and models (4 papers). The work is most often cited by research in Atmospheric Science (457 citations), Structural Biology (27 citations) and Global and Planetary Change (386 citations). Álvaro Sánchez‐González has collaborated with scholars based in United Kingdom, Spain and United States. Frequent co-authors include Peter Battaglia, Stephan Hoyer, Timo Ewalds, Ferran Alet, Shakir Mohamed, Rémi Lam, Luis M. Torres‐Vila, Suman Ravuri, Alexander Pritzel and Weihua Hu. Their work appears in journals such as Nature, Science and Journal of Applied Physics.
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.