María García Díaz

12 papers and 358 indexed citations i.

About

María García Díaz is a scholar working on Atomic and Molecular Physics, and Optics, Artificial Intelligence and Statistical and Nonlinear Physics. According to data from OpenAlex, María García Díaz has authored 12 papers receiving a total of 358 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Atomic and Molecular Physics, and Optics, 10 papers in Artificial Intelligence and 2 papers in Statistical and Nonlinear Physics. Recurrent topics in María García Díaz’s work include Quantum Information and Cryptography (9 papers), Quantum Mechanics and Applications (6 papers) and Quantum Computing Algorithms and Architecture (6 papers). María García Díaz is often cited by papers focused on Quantum Information and Cryptography (9 papers), Quantum Mechanics and Applications (6 papers) and Quantum Computing Algorithms and Architecture (6 papers). María García Díaz collaborates with scholars based in Spain, Italy and Germany. María García Díaz's co-authors include Andreas Winter, A. Baldereschi, Philipp Strasberg, John Calsamiglia, Michael Skotiniotis, Susana F. Huelga, Dario Egloff, Andrea Smirne, Kun Fang and Xin Wang and has published in prestigious journals such as Proceedings of the Royal Society A Mathematical Physical and Engineering Sciences, Physical review. A and Physical review. E.

In The Last Decade

Co-authorship network of co-authors of María García Díaz i

Fields of papers citing papers by María García Díaz

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by María García Díaz. 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 María García Díaz. The network helps show where María García Díaz may publish in the future.

Countries citing papers authored by María García Díaz

Since Specialization
Citations

This map shows the geographic impact of María García Díaz'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 María García Díaz with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites María García Díaz 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.

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