Marco Avesani
- Artificial Intelligence top 5%
- Atomic and Molecular Physics, and Optics top 10%
- Electrical and Electronic Engineering
- Computer Vision and Pattern Recognition
- Computational Theory and Mathematics
- Co-authors
- Giuseppe VallonePaolo VilloresiAndrea StancoCostantino AgnesiLuca CalderaroDaniele DequalFrancesco VedovatoMujtaba Zahidy
- Topics
- Quantum Information and Cryptography (23 papers)Quantum Mechanics and Applications (18 papers)Quantum Computing Algorithms and Architecture (14 papers)
- Cited by
- Artificial IntelligenceAtomic and Molecular Physics, and OpticsComputer Vision and Pattern Recognition
- Partner nations
- ItalyUnited StatesSweden
In The Last Decade
Marco Avesani
24 papers receiving 313 citations
Peers
Comparison fields: 5 of 29
- Artificial Intelligence 265
- Atomic and Molecular Physics, and Optics 251
- Electrical and Electronic Engineering 48
- Computer Vision and Pattern Recognition 25
- Computational Theory and Mathematics 16
Countries citing papers authored by Marco Avesani
This map shows the geographic impact of Marco Avesani'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 Marco Avesani with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Marco Avesani more than expected).
Fields of papers citing papers by Marco Avesani
This network shows the impact of papers produced by Marco Avesani. 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 Marco Avesani. The network helps show where Marco Avesani may publish in the future.
Co-authorship network of co-authors of Marco Avesani
This figure shows the co-authorship network connecting the top 25 collaborators of Marco Avesani. A scholar is included among the top collaborators of Marco Avesani 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 Marco Avesani. Marco Avesani 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 | 1 | |
| 3 | 2 | |
| 4 | 5 | |
| 5 | 1 | |
| 6 | 4 | |
| 7 | 7 | |
| 8 | 2 | |
| 9 | 2 | |
| 10 | 7 | |
| 11 | 8 | |
| 12 | 18 | |
| 13 | 18 | |
| 14 | 11 | |
| 15 | 30 | |
| 16 | 26 | |
| 17 | 29 | |
| 18 | 50 | |
| 19 | 26 | |
| 20 | 40 |
About Marco Avesani
Marco Avesani is a scholar working on Artificial Intelligence, Atomic and Molecular Physics, and Optics and Hardware and Architecture, having authored 26 papers that have together received 330 indexed citations. Recurring topics across this work include Quantum Information and Cryptography (23 papers), Quantum Mechanics and Applications (18 papers) and Quantum Computing Algorithms and Architecture (14 papers). The work is most often cited by research in Artificial Intelligence (265 citations), Atomic and Molecular Physics, and Optics (251 citations) and Computer Vision and Pattern Recognition (25 citations). Marco Avesani has collaborated with scholars based in Italy, United States and Sweden. Frequent co-authors include Giuseppe Vallone, Paolo Villoresi, Andrea Stanco, Costantino Agnesi, Luca Calderaro, Daniele Dequal, Francesco Vedovato, Mujtaba Zahidy, Jan-Åke Larsson and Marco Tomasin. Their work appears in journals such as Physical Review Letters, Optics Letters 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.