Giuseppe Genovese
- Statistical and Nonlinear Physics top 5%
- Artificial Intelligence top 10%
- Condensed Matter Physics top 10%
- Computer Vision and Pattern Recognition top 10%
- Statistics and Probability top 5%
- Co-authors
- Adriano BarraDaniele TantariPeter SollichFrancesco GuerraGiovanni Amelino-CameliaA. MelchiorriGiulia GubitosiNikolay Tzvetkov
- Topics
- Theoretical and Computational Physics (11 papers)Generative Adversarial Networks and Image Synthesis (4 papers)Quantum many-body systems (4 papers)
- Journals
- SHILAP Revista de lepidopterologíaCommunications in Mathematical PhysicsPhysica A Statistical Mechanics and its Applications
- Partner nations
- SwitzerlandItalyFrance
In The Last Decade
Giuseppe Genovese
21 papers receiving 258 citations
Peers
Comparison fields: 5 of 41
- Statistical and Nonlinear Physics 111
- Artificial Intelligence 106
- Condensed Matter Physics 101
- Computer Vision and Pattern Recognition 62
- Statistics and Probability 51
Countries citing papers authored by Giuseppe Genovese
This map shows the geographic impact of Giuseppe Genovese'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 Giuseppe Genovese with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Giuseppe Genovese more than expected).
Fields of papers citing papers by Giuseppe Genovese
This network shows the impact of papers produced by Giuseppe Genovese. 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 Giuseppe Genovese. The network helps show where Giuseppe Genovese may publish in the future.
Co-authorship network of co-authors of Giuseppe Genovese
This figure shows the co-authorship network connecting the top 25 collaborators of Giuseppe Genovese. A scholar is included among the top collaborators of Giuseppe Genovese 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 Giuseppe Genovese. Giuseppe Genovese is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 3 | |
| 3 | 4 | |
| 4 | 2 | |
| 5 | 2 | |
| 6 | 9 | |
| 7 | 53 | |
| 8 | 38 | |
| 9 | 2 | |
| 10 | 4 | |
| 11 | 3 | |
| 12 | 9 | |
| 13 | 10 | |
| 14 | 3 | |
| 15 | 12 | |
| 16 | How much glassy are neural networks | 1 |
| 17 | 17 | |
| 18 | 45 | |
| 19 | 20 | |
| 20 | 26 |
About Giuseppe Genovese
Giuseppe Genovese is a scholar working on Condensed Matter Physics, Statistical and Nonlinear Physics and Space and Planetary Science, having authored 21 papers that have together received 269 indexed citations. Recurring topics across this work include Theoretical and Computational Physics (11 papers), Generative Adversarial Networks and Image Synthesis (4 papers) and Quantum many-body systems (4 papers). The work is most often cited by research in Statistical and Nonlinear Physics (111 citations), Condensed Matter Physics (101 citations) and Statistics and Probability (51 citations). Giuseppe Genovese has collaborated with scholars based in Switzerland, Italy and France. Frequent co-authors include Adriano Barra, Daniele Tantari, Peter Sollich, Francesco Guerra, Giovanni Amelino-Camelia, A. Melchiorri, Giulia Gubitosi, Nikolay Tzvetkov, Giambattista Giacomin and Giuseppe Altieri. Their work appears in journals such as SHILAP Revista de lepidopterología, Communications in Mathematical Physics and Physica A Statistical Mechanics and its Applications.
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.