Lídia del Rio
- Artificial Intelligence top 5%
- Statistical and Nonlinear Physics top 2%
- Atomic and Molecular Physics, and Optics top 10%
- Materials Chemistry
- Computational Theory and Mathematics
- Co-authors
- Renato RennerTony MetgerHenrik WilmingRaban ItenOscar DahlstenJohan ÅbergVlatko VedralPhilippe Faist
- Topics
- Quantum Mechanics and Applications (8 papers)Quantum Information and Cryptography (5 papers)Advanced Thermodynamics and Statistical Mechanics (4 papers)
- Cited by
- Statistical and Nonlinear PhysicsArtificial IntelligenceAtomic and Molecular Physics, and Optics
- Journals
- NaturePhysical Review LettersSHILAP Revista de lepidopterología
- Partner nations
- SwitzerlandUnited KingdomSingapore
In The Last Decade
Lídia del Rio
11 papers receiving 602 citations
Hit Papers
Peers
Comparison fields: 5 of 92
- Artificial Intelligence 324
- Statistical and Nonlinear Physics 298
- Atomic and Molecular Physics, and Optics 298
- Materials Chemistry 44
- Computational Theory and Mathematics 35
Countries citing papers authored by Lídia del Rio
This map shows the geographic impact of Lídia del Rio'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 Lídia del Rio with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Lídia del Rio more than expected).
Fields of papers citing papers by Lídia del Rio
This network shows the impact of papers produced by Lídia del Rio. 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 Lídia del Rio. The network helps show where Lídia del Rio may publish in the future.
Co-authorship network of co-authors of Lídia del Rio
This figure shows the co-authorship network connecting the top 25 collaborators of Lídia del Rio. A scholar is included among the top collaborators of Lídia del Rio 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 Lídia del Rio. Lídia del Rio is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 2 | |
| 3 | Discovering Physical Concepts with Neural Networksbreakdown → | 283 |
| 4 | 29 | |
| 5 | 12 | |
| 6 | 0 | |
| 7 | 3 | |
| 8 | 11 | |
| 9 | 4 | |
| 10 | 15 | |
| 11 | 251 | |
| 12 | 15 |
About Lídia del Rio
Lídia del Rio is a scholar working on Statistical and Nonlinear Physics, History and Philosophy of Science and Atomic and Molecular Physics, and Optics, having authored 12 papers that have together received 626 indexed citations. Recurring topics across this work include Quantum Mechanics and Applications (8 papers), Quantum Information and Cryptography (5 papers) and Advanced Thermodynamics and Statistical Mechanics (4 papers). The work is most often cited by research in Statistical and Nonlinear Physics (298 citations), Artificial Intelligence (324 citations) and Atomic and Molecular Physics, and Optics (298 citations). Lídia del Rio has collaborated with scholars based in Switzerland, United Kingdom and Singapore. Frequent co-authors include Renato Renner, Tony Metger, Henrik Wilming, Raban Iten, Oscar Dahlsten, Johan Åberg, Vlatko Vedral, Philippe Faist, Carlo Sparaciari and Jonathan Oppenheim. Their work appears in journals such as Nature, Physical Review Letters and SHILAP Revista de lepidopterología.
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.