Nicola Malossi
- Atomic and Molecular Physics, and Optics top 2%
- Artificial Intelligence top 2%
- Electrical and Electronic Engineering
- Statistical and Nonlinear Physics top 5%
- Condensed Matter Physics
- Co-authors
- E. ArimondoO. MorschD. CiampiniMark G. BasonMatthieu ViteauPaul HuilleryDavid VitaliR. Mannella
- Topics
- Cold Atom Physics and Bose-Einstein Condensates (21 papers)Mechanical and Optical Resonators (17 papers)Force Microscopy Techniques and Applications (11 papers)
- Cited by
- Atomic and Molecular Physics, and OpticsStatistical and Nonlinear PhysicsArtificial Intelligence
- Journals
- Physical Review LettersSHILAP Revista de lepidopterologíaApplied Physics Letters
- Partner nations
- ItalyFranceNetherlands
In The Last Decade
Nicola Malossi
37 papers receiving 1.4k citations
Hit Papers
Peers
Comparison fields: 5 of 46
- Atomic and Molecular Physics, and Optics 1.3k
- Artificial Intelligence 474
- Electrical and Electronic Engineering 244
- Statistical and Nonlinear Physics 235
- Condensed Matter Physics 54
Countries citing papers authored by Nicola Malossi
This map shows the geographic impact of Nicola Malossi'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 Nicola Malossi with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Nicola Malossi more than expected).
Fields of papers citing papers by Nicola Malossi
This network shows the impact of papers produced by Nicola Malossi. 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 Nicola Malossi. The network helps show where Nicola Malossi may publish in the future.
Co-authorship network of co-authors of Nicola Malossi
This figure shows the co-authorship network connecting the top 25 collaborators of Nicola Malossi. A scholar is included among the top collaborators of Nicola Malossi 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 Nicola Malossi. Nicola Malossi 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 | 1 | |
| 3 | 4 | |
| 4 | 12 | |
| 5 | 11 | |
| 6 | 26 | |
| 7 | 22 | |
| 8 | 1 | |
| 9 | 1 | |
| 10 | 119 | |
| 11 | 33 | |
| 12 | 4 | |
| 13 | 51 | |
| 14 | 14 | |
| 15 | 116 | |
| 16 | High-fidelity quantum drivingbreakdown → | 343 |
| 17 | 2 | |
| 18 | 41 | |
| 19 | 8 | |
| 20 | 135 |
About Nicola Malossi
Nicola Malossi is a scholar working on Atomic and Molecular Physics, and Optics, Electrical and Electronic Engineering and Artificial Intelligence, having authored 38 papers that have together received 1.4k indexed citations. Recurring topics across this work include Cold Atom Physics and Bose-Einstein Condensates (21 papers), Mechanical and Optical Resonators (17 papers) and Force Microscopy Techniques and Applications (11 papers). The work is most often cited by research in Atomic and Molecular Physics, and Optics (1.3k citations), Statistical and Nonlinear Physics (235 citations) and Artificial Intelligence (474 citations). Nicola Malossi has collaborated with scholars based in Italy, France and Netherlands. Frequent co-authors include E. Arimondo, O. Morsch, D. Ciampini, Mark G. Bason, Matthieu Viteau, Paul Huillery, David Vitali, R. Mannella, Rosario Fazio and Vittorio Giovannetti. Their work appears in journals such as Physical Review Letters, SHILAP Revista de lepidopterología and Applied Physics 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.