Sara Gasparoni

9 papers and 1.5k indexed citations i.

About

Sara Gasparoni is a scholar working on Artificial Intelligence, Atomic and Molecular Physics, and Optics and Biomedical Engineering. According to data from OpenAlex, Sara Gasparoni has authored 9 papers receiving a total of 1.5k indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Artificial Intelligence, 5 papers in Atomic and Molecular Physics, and Optics and 3 papers in Biomedical Engineering. Recurrent topics in Sara Gasparoni’s work include Quantum Information and Cryptography (5 papers), Quantum Mechanics and Applications (4 papers) and Quantum Computing Algorithms and Architecture (4 papers). Sara Gasparoni is often cited by papers focused on Quantum Information and Cryptography (5 papers), Quantum Mechanics and Applications (4 papers) and Quantum Computing Algorithms and Architecture (4 papers). Sara Gasparoni collaborates with scholars based in Austria and Germany. Sara Gasparoni's co-authors include Jian-Wei Pan, Anton Zeilinger, Gregor Weihs, Rupert Ursin, Philip Walther, Matthew Daniell, Anton Zeilinger, Markus Aspelmeyer, Terry Rudolph and Thomas Jennewein and has published in prestigious journals such as Nature, Physical Review Letters and Applied Acoustics.

In The Last Decade

Co-authorship network of co-authors of Sara Gasparoni i

Fields of papers citing papers by Sara Gasparoni

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Sara Gasparoni. 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 Sara Gasparoni. The network helps show where Sara Gasparoni may publish in the future.

Countries citing papers authored by Sara Gasparoni

Since Specialization
Citations

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