Inés de Vega

40 papers and 1.7k indexed citations i.

About

Inés de Vega is a scholar working on Atomic and Molecular Physics, and Optics, Artificial Intelligence and Statistical and Nonlinear Physics. According to data from OpenAlex, Inés de Vega has authored 40 papers receiving a total of 1.7k indexed citations (citations by other indexed papers that have themselves been cited), including 37 papers in Atomic and Molecular Physics, and Optics, 24 papers in Artificial Intelligence and 17 papers in Statistical and Nonlinear Physics. Recurrent topics in Inés de Vega’s work include Quantum Information and Cryptography (24 papers), Spectroscopy and Quantum Chemical Studies (15 papers) and Advanced Thermodynamics and Statistical Mechanics (15 papers). Inés de Vega is often cited by papers focused on Quantum Information and Cryptography (24 papers), Spectroscopy and Quantum Chemical Studies (15 papers) and Advanced Thermodynamics and Statistical Mechanics (15 papers). Inés de Vega collaborates with scholars based in Germany, Spain and Australia. Inés de Vega's co-authors include Daniel Alonso, Diego Porras, J. I. Cirac, Mari Carmen Bañuls, Ulrich Schollwöck, Pierre Gaspard, F. Alexander Wolf, Jad C. Halimeh, Ian P. McCulloch and Michael Kästner and has published in prestigious journals such as Physical Review Letters, The Journal of Chemical Physics and Reviews of Modern Physics.

In The Last Decade

Co-authorship network of co-authors of Inés de Vega i

Fields of papers citing papers by Inés de Vega

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Inés de Vega. 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 Inés de Vega. The network helps show where Inés de Vega may publish in the future.

Countries citing papers authored by Inés de Vega

Since Specialization
Citations

This map shows the geographic impact of Inés de Vega'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 Inés de Vega with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Inés de Vega more than expected).

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
2025