Rodrigo Gallego
- Atomic and Molecular Physics, and Optics top 5%
- Artificial Intelligence top 2%
- Statistical and Nonlinear Physics top 5%
- Computational Theory and Mathematics top 10%
- Cognitive Neuroscience
- Co-authors
- Antonio AcínNicolas BrunnerChristopher HadleyLeandro AolitaMiguel NavascuésHenrik WilmingJens EisertJuan P. Torres
- Topics
- Quantum Mechanics and Applications (17 papers)Quantum Information and Cryptography (16 papers)Advanced Thermodynamics and Statistical Mechanics (8 papers)
- Cited by
- Atomic and Molecular Physics, and OpticsArtificial IntelligenceStatistical and Nonlinear Physics
- Partner nations
- SpainGermanyUnited Kingdom
In The Last Decade
Rodrigo Gallego
19 papers receiving 858 citations
Peers
Comparison fields: 5 of 45
- Atomic and Molecular Physics, and Optics 818
- Artificial Intelligence 762
- Statistical and Nonlinear Physics 165
- Computational Theory and Mathematics 47
- Cognitive Neuroscience 25
Countries citing papers authored by Rodrigo Gallego
This map shows the geographic impact of Rodrigo Gallego'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 Rodrigo Gallego with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Rodrigo Gallego more than expected).
Fields of papers citing papers by Rodrigo Gallego
This network shows the impact of papers produced by Rodrigo Gallego. 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 Rodrigo Gallego. The network helps show where Rodrigo Gallego may publish in the future.
Co-authorship network of co-authors of Rodrigo Gallego
This figure shows the co-authorship network connecting the top 25 collaborators of Rodrigo Gallego. A scholar is included among the top collaborators of Rodrigo Gallego 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 Rodrigo Gallego. Rodrigo Gallego is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 13 | |
| 2 | 43 | |
| 3 | 3 | |
| 4 | 24 | |
| 5 | 21 | |
| 6 | 18 | |
| 7 | 25 | |
| 8 | 7 | |
| 9 | 3 | |
| 10 | 6 | |
| 11 | 31 | |
| 12 | 96 | |
| 13 | 42 | |
| 14 | 117 | |
| 15 | 99 | |
| 16 | 28 | |
| 17 | 45 | |
| 18 | 44 | |
| 19 | 211 |
About Rodrigo Gallego
Rodrigo Gallego is a scholar working on Statistical and Nonlinear Physics, Atomic and Molecular Physics, and Optics and Artificial Intelligence, having authored 19 papers that have together received 876 indexed citations. Recurring topics across this work include Quantum Mechanics and Applications (17 papers), Quantum Information and Cryptography (16 papers) and Advanced Thermodynamics and Statistical Mechanics (8 papers). The work is most often cited by research in Atomic and Molecular Physics, and Optics (818 citations), Artificial Intelligence (762 citations) and Statistical and Nonlinear Physics (165 citations). Rodrigo Gallego has collaborated with scholars based in Spain, Germany and United Kingdom. Frequent co-authors include Antonio Acín, Nicolas Brunner, Christopher Hadley, Leandro Aolita, Miguel Navascués, Henrik Wilming, Jens Eisert, Juan P. Torres, Adán Cabello and Martin Hendrych. Their work appears in journals such as Physical Review Letters, Nature Communications and Nature 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.