Giulia Ferrini
Impact in
- Reproductive Medicine top 2%
- Endometriosis Research and Treatment
-
- Quantum Mechanics and Applications
- Quantum optics and atomic interactions
- Cold Atom Physics and Bose-Einstein Condensates
Papers in
-
- Quantum Information and Cryptography 32
- Quantum Computing Algorithms and Architecture 21
- Neural Networks and Reservoir Computing 4
-
- Endometriosis Research and Treatment 13
- Co-authors
- Nicolas Treps (7 shared papers)Renato Seracchioli (14 shared papers)Yin Cai (4 shared papers)Anna Minguzzi (5 shared papers)Francesco Arzani (5 shared papers)Diego Raimondo (9 shared papers)Jonathan Roslund (4 shared papers)Claude Fabre (4 shared papers)
In The Last Decade
Giulia Ferrini
51 papers receiving 1.3k citations
Peers
Comparison fields: 5 of 78
- Reproductive Medicine 380
- Atomic and Molecular Physics, and Optics 709
- Obstetrics and Gynecology 149
- Artificial Intelligence 760
- Statistical and Nonlinear Physics 30
Countries citing papers authored by Giulia Ferrini
This map shows the geographic impact of Giulia Ferrini'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 Giulia Ferrini with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Giulia Ferrini more than expected).
Fields of papers citing papers by Giulia Ferrini
This network shows the impact of papers produced by Giulia Ferrini. 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 Giulia Ferrini. The network helps show where Giulia Ferrini may publish in the future.
Co-authors
The 25 scholars most cited alongside Giulia Ferrini, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 54 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2017 | 161 | |
| 2 | 2011 | 66 | |
| 3 | 2022 | 63 | |
| 4 | 2020 | 60 | |
| 5 | 2012 | 57 | |
| 6 | 2008 | 53 | |
| 7 | 2014 | 53 | |
| 8 | 2017 | 49 | |
| 9 | 2012 | 48 | |
| 10 | 2015 | 47 | |
| 11 | 2014 | 44 | |
| 12 | 2011 | 42 | |
| 13 | 2020 | 42 | |
| 14 | 2012 | 41 | |
| 15 | 2012 | 37 | |
| 16 | 2012 | 37 | |
| 17 | 2015 | 35 | |
| 18 | 2010 | 34 | |
| 19 | 2017 | 33 | |
| 20 | 2011 | 32 |
About Giulia Ferrini
Giulia Ferrini is a scholar working on Artificial Intelligence, Reproductive Medicine, Atomic and Molecular Physics, and Optics, Obstetrics and Gynecology and Computational Theory and Mathematics, having authored 54 papers that have together received 1.4k indexed citations. Recurring topics across this work include Quantum Information and Cryptography (32 papers), Quantum Computing Algorithms and Architecture (21 papers), Quantum Mechanics and Applications (15 papers), Endometriosis Research and Treatment (13 papers), Cold Atom Physics and Bose-Einstein Condensates (6 papers), Quantum optics and atomic interactions (5 papers), Neural Networks and Reservoir Computing (4 papers) and Photonic and Optical Devices (3 papers). The work is most often cited by research in Reproductive Medicine (380 citations), Atomic and Molecular Physics, and Optics (709 citations), Obstetrics and Gynecology (149 citations), Artificial Intelligence (760 citations) and Statistical and Nonlinear Physics (30 citations). Giulia Ferrini has collaborated with scholars based in Italy, Sweden and France. Frequent co-authors include Nicolas Treps, Renato Seracchioli, Yin Cai, Anna Minguzzi, Francesco Arzani, Diego Raimondo, Jonathan Roslund, Claude Fabre, F. W. J. Hekking and Giulia Montanari. Their work appears in journals such as Physical Review A, PRX Quantum, Quantum, Physical Review Letters and Journal of Minimally Invasive Gynecology.
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.