Sara Gasparoni
- Artificial Intelligence top 1%
- Atomic and Molecular Physics, and Optics top 2%
- Electrical and Electronic Engineering
- Acoustics and Ultrasonics top 5%
- Biomedical Engineering
- Co-authors
- Jian-Wei PanAnton ZeilingerGregor WeihsRupert UrsinPhilip WaltherMatthew DaniellMarkus AspelmeyerTerry Rudolph
- Topics
- Quantum Information and Cryptography (6 papers)Quantum Mechanics and Applications (5 papers)Quantum Computing Algorithms and Architecture (5 papers)
In The Last Decade
Sara Gasparoni
9 papers receiving 1.4k citations
Hit Papers
Peers
Comparison fields: 5 of 44
- Artificial Intelligence 1.4k
- Atomic and Molecular Physics, and Optics 1.3k
- Electrical and Electronic Engineering 156
- Acoustics and Ultrasonics 42
- Biomedical Engineering 36
Countries citing papers authored by Sara Gasparoni
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).
Fields of papers citing papers by Sara Gasparoni
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.
Co-authorship network of co-authors of Sara Gasparoni
This figure shows the co-authorship network connecting the top 25 collaborators of Sara Gasparoni. A scholar is included among the top collaborators of Sara Gasparoni 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 Sara Gasparoni. Sara Gasparoni is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | Impact of low-noise tyres on electric vehicle noise emission - deliverable FOREVER | 2 |
| 3 | 1 | |
| 4 | 1 | |
| 5 | 1 | |
| 6 | De Broglie wavelength of a non-local four-photon statebreakdown → | 363 |
| 7 | Realization of a Photonic Controlled-NOT Gate Sufficient for Quantum Computationbreakdown → | 235 |
| 8 | Experimental entanglement purification of arbitrary unknown statesbreakdown → | 382 |
| 9 | 76 | |
| 10 | 0 | |
| 11 | 430 |
About Sara Gasparoni
Sara Gasparoni is a scholar working on Automotive Engineering, Atomic and Molecular Physics, and Optics and Artificial Intelligence, having authored 11 papers that have together received 1.5k indexed citations. Recurring topics across this work include Quantum Information and Cryptography (6 papers), Quantum Mechanics and Applications (5 papers) and Quantum Computing Algorithms and Architecture (5 papers). The work is most often cited by research in Acoustics and Ultrasonics (42 citations), Artificial Intelligence (1.4k citations) and Atomic and Molecular Physics, and Optics (1.3k citations). Sara Gasparoni has collaborated with scholars based in Austria and Germany. Frequent 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. Their work appears in journals such as Nature, Physical Review Letters and Applied Acoustics.
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.