G. De Ninno
- Structural Biology top 1%
- Advanced Electron Microscopy Techniques and Applications 12
- Radiation top 1%
- Advanced X-ray Imaging Techniques 46
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- Gyrotron and Vacuum Electronics Research 18
- Laser-Matter Interactions and Applications 15
- Advanced Fiber Laser Technologies 7
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- Laser-Plasma Interactions and Diagnostics 21
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- Particle Accelerators and Free-Electron Lasers 67
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- Particle accelerators and beam dynamics 31
In The Last Decade
G. De Ninno
99 papers receiving 1.2k citations
Peers
Comparison fields: 5 of 63
- Structural Biology 151
- Radiation 435
- Atomic and Molecular Physics, and Optics 684
- Nuclear and High Energy Physics 277
- Electrical and Electronic Engineering 629
Countries citing papers authored by G. De Ninno
This map shows the geographic impact of G. De Ninno'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 G. De Ninno with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites G. De Ninno more than expected).
Fields of papers citing papers by G. De Ninno
This network shows the impact of papers produced by G. De Ninno. 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 G. De Ninno. The network helps show where G. De Ninno may publish in the future.
Co-authorship network
The 25 scholars most cited alongside G. De Ninno, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2025 | 2 | |
| 2 | 2024 | 3 | |
| 3 | 2023 | 3 | |
| 4 | 2023 | 1 | |
| 5 | 2023 | 3 | |
| 6 | 2022 | 28 | |
| 7 | 2021 | 1 | |
| 8 | 2021 | 28 | |
| 9 | 2021 | 1 | |
| 10 | 2021 | 1 | |
| 11 | 2020 | 2 | |
| 12 | 2020 | 3 | |
| 13 | 2017 | 13 | |
| 14 | 2016 | 13 | |
| 15 | Time-sliced emittance and energy spread measurements at FERMI@Elettra | 2013 | 4 |
| 16 | Operation of the european FEL at Elettra below 190 nm : A tunable laser source for VUV spectroscopy | 2005 | 1 |
| 17 | Optimization Studies of the FERMI at ELETTRA FEL Design | 2005 | 1 |
| 18 | EXPERIMENTS ON THE SYNCHRONIZATION OF AN ULTRAFAST CR:LISAF LASER WITH THE ELETTRA STORAGE RING AND FEL PULSES | 2004 | 1 |
| 19 | 2003 | 1 | |
| 20 | 2001 | 11 |
About G. De Ninno
G. De Ninno is a scholar working on Structural Biology, Radiation and Nuclear and High Energy Physics, having authored 111 papers that have together received 1.2k indexed citations. Recurring topics across this work include Particle Accelerators and Free-Electron Lasers (67 papers), Advanced X-ray Imaging Techniques (46 papers), Particle accelerators and beam dynamics (31 papers), Laser-Plasma Interactions and Diagnostics (21 papers), Gyrotron and Vacuum Electronics Research (18 papers), Laser-Matter Interactions and Applications (15 papers), Advanced Electron Microscopy Techniques and Applications (12 papers) and Advanced Fiber Laser Technologies (7 papers). The work is most often cited by research in Structural Biology (151 citations), Radiation (435 citations) and Atomic and Molecular Physics, and Optics (684 citations). G. De Ninno has collaborated with scholars based in Italy, Slovenia and France. Frequent co-authors include E. Allaria, L. Giannessi, Primož Rebernik Ribič, Carlo Spezzani, Bernard Mahieu, M. Danailov, Eugenio Ferrari, G. Penco, B. Ressel and David Gauthier. Their work appears in journals such as Physical Review Letters, Nature Communications and Nano Letters.
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.