Angelo Russomanno
- Atomic and Molecular Physics, and Optics top 2%
- Statistical and Nonlinear Physics top 1%
- Artificial Intelligence top 5%
- Condensed Matter Physics top 5%
- Computer Networks and Communications
- Co-authors
- Rosario FazioFernando IeminiAlessandro SilvaGiuseppe E. SantoroMarcello DalmonteDavide RossiniMarco SchiróJonathan Keeling
- Topics
- Quantum many-body systems (38 papers)Cold Atom Physics and Bose-Einstein Condensates (12 papers)Opinion Dynamics and Social Influence (11 papers)
- Cited by
- Statistical and Nonlinear PhysicsAtomic and Molecular Physics, and OpticsCondensed Matter Physics
- Journals
- Physical Review LettersSHILAP Revista de lepidopterologíaPhysical Review B
- Partner nations
- ItalyGermanyUnited Kingdom
In The Last Decade
Angelo Russomanno
40 papers receiving 1.3k citations
Peers
Comparison fields: 5 of 33
- Atomic and Molecular Physics, and Optics 1.2k
- Statistical and Nonlinear Physics 554
- Artificial Intelligence 417
- Condensed Matter Physics 172
- Computer Networks and Communications 55
Countries citing papers authored by Angelo Russomanno
This map shows the geographic impact of Angelo Russomanno'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 Angelo Russomanno with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Angelo Russomanno more than expected).
Fields of papers citing papers by Angelo Russomanno
This network shows the impact of papers produced by Angelo Russomanno. 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 Angelo Russomanno. The network helps show where Angelo Russomanno may publish in the future.
Co-authorship network of co-authors of Angelo Russomanno
This figure shows the co-authorship network connecting the top 25 collaborators of Angelo Russomanno. A scholar is included among the top collaborators of Angelo Russomanno 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 Angelo Russomanno. Angelo Russomanno 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 | 6 | |
| 3 | 4 | |
| 4 | 0 | |
| 5 | 10 | |
| 6 | 36 | |
| 7 | 5 | |
| 8 | 24 | |
| 9 | 1 | |
| 10 | 1 | |
| 11 | 1 | |
| 12 | 21 | |
| 13 | 6 | |
| 14 | 6 | |
| 15 | 5 | |
| 16 | 17 | |
| 17 | 55 | |
| 18 | 21 | |
| 19 | 18 | |
| 20 | 34 |
About Angelo Russomanno
Angelo Russomanno is a scholar working on Statistical and Nonlinear Physics, Atomic and Molecular Physics, and Optics and Condensed Matter Physics, having authored 43 papers that have together received 1.3k indexed citations. Recurring topics across this work include Quantum many-body systems (38 papers), Cold Atom Physics and Bose-Einstein Condensates (12 papers) and Opinion Dynamics and Social Influence (11 papers). The work is most often cited by research in Statistical and Nonlinear Physics (554 citations), Atomic and Molecular Physics, and Optics (1.2k citations) and Condensed Matter Physics (172 citations). Angelo Russomanno has collaborated with scholars based in Italy, Germany and United Kingdom. Frequent co-authors include Rosario Fazio, Fernando Iemini, Alessandro Silva, Giuseppe E. Santoro, Marcello Dalmonte, Davide Rossini, Marco Schiró, Jonathan Keeling, G. Piccitto and Silvia Pappalardi. Their work appears in journals such as Physical Review Letters, SHILAP Revista de lepidopterología and Physical Review B.
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.