Giuseppe Di Molfetta
- Artificial Intelligence top 5%
- Atomic and Molecular Physics, and Optics top 10%
- Computational Theory and Mathematics top 5%
- Statistical and Nonlinear Physics
- Electrical and Electronic Engineering
- Co-authors
- Fabrice DebbaschMarc BrächetPablo ArrighiA. PérezDiogo O. Soares-PintoSı́lvio M. Duarte QueirósAlberto VergaLiva Ralaivola
- Topics
- Quantum Computing Algorithms and Architecture (19 papers)Quantum Information and Cryptography (15 papers)Quantum and electron transport phenomena (15 papers)
In The Last Decade
Giuseppe Di Molfetta
24 papers receiving 344 citations
Peers
Comparison fields: 5 of 31
- Artificial Intelligence 290
- Atomic and Molecular Physics, and Optics 217
- Computational Theory and Mathematics 109
- Statistical and Nonlinear Physics 23
- Electrical and Electronic Engineering 10
Countries citing papers authored by Giuseppe Di Molfetta
This map shows the geographic impact of Giuseppe Di Molfetta'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 Di Molfetta with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Giuseppe Di Molfetta more than expected).
Fields of papers citing papers by Giuseppe Di Molfetta
This network shows the impact of papers produced by Giuseppe Di Molfetta. 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 Di Molfetta. The network helps show where Giuseppe Di Molfetta may publish in the future.
Co-authorship network of co-authors of Giuseppe Di Molfetta
This figure shows the co-authorship network connecting the top 25 collaborators of Giuseppe Di Molfetta. A scholar is included among the top collaborators of Giuseppe Di Molfetta 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 Di Molfetta. Giuseppe Di Molfetta is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 2 | |
| 2 | 0 | |
| 3 | 1 | |
| 4 | 4 | |
| 5 | 6 | |
| 6 | 8 | |
| 7 | 4 | |
| 8 | 13 | |
| 9 | 1 | |
| 10 | 10 | |
| 11 | 9 | |
| 12 | 19 | |
| 13 | 20 | |
| 14 | 27 | |
| 15 | 24 | |
| 16 | 12 | |
| 17 | 40 | |
| 18 | 17 | |
| 19 | 7 | |
| 20 | 58 |
About Giuseppe Di Molfetta
Giuseppe Di Molfetta is a scholar working on Artificial Intelligence, Atomic and Molecular Physics, and Optics and Computational Theory and Mathematics, having authored 25 papers that have together received 346 indexed citations. Recurring topics across this work include Quantum Computing Algorithms and Architecture (19 papers), Quantum Information and Cryptography (15 papers) and Quantum and electron transport phenomena (15 papers). The work is most often cited by research in Artificial Intelligence (290 citations), Atomic and Molecular Physics, and Optics (217 citations) and Computational Theory and Mathematics (109 citations). Giuseppe Di Molfetta has collaborated with scholars based in France, Spain and Japan. Frequent co-authors include Fabrice Debbasch, Marc Brächet, Pablo Arrighi, A. Pérez, Diogo O. Soares-Pinto, Sı́lvio M. Duarte Queirós, Alberto Verga, Liva Ralaivola, Nuno Loureiro and Pierre Sagaut. Their work appears in journals such as Physical Review Letters, Scientific Reports and Physical Review A.
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.