Michele Campisi
- Statistical and Nonlinear Physics top 0.1%
- Atomic and Molecular Physics, and Optics top 1%
- Artificial Intelligence top 1%
- Civil and Structural Engineering top 2%
- Materials Chemistry
- Co-authors
- Peter HänggiPeter TalknerRosario FazioMarco PoliniGian Marcello AndolinaVittorio PellegriniDario FerraroLorenzo Buffoni
- Topics
- Advanced Thermodynamics and Statistical Mechanics (52 papers)Quantum Information and Cryptography (16 papers)Quantum many-body systems (16 papers)
- Cited by
- Statistical and Nonlinear PhysicsAtomic and Molecular Physics, and OpticsArtificial Intelligence
- Partner nations
- ItalyGermanyUnited States
In The Last Decade
Michele Campisi
58 papers receiving 3.0k citations
Hit Papers
Peers
Comparison fields: 5 of 48
- Statistical and Nonlinear Physics 2.5k
- Atomic and Molecular Physics, and Optics 2.2k
- Artificial Intelligence 1.3k
- Civil and Structural Engineering 455
- Materials Chemistry 180
Countries citing papers authored by Michele Campisi
This map shows the geographic impact of Michele Campisi'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 Michele Campisi with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Michele Campisi more than expected).
Fields of papers citing papers by Michele Campisi
This network shows the impact of papers produced by Michele Campisi. 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 Michele Campisi. The network helps show where Michele Campisi may publish in the future.
Co-authorship network of co-authors of Michele Campisi
This figure shows the co-authorship network connecting the top 25 collaborators of Michele Campisi. A scholar is included among the top collaborators of Michele Campisi 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 Michele Campisi. Michele Campisi 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 | 16 | |
| 3 | 22 | |
| 4 | 16 | |
| 5 | 10 | |
| 6 | 26 | |
| 7 | Dissipation Asymmetry Relation | 1 |
| 8 | High-Power Collective Charging of a Solid-State Quantum Batterybreakdown → | 300 |
| 9 | 12 | |
| 10 | 35 | |
| 11 | 13 | |
| 12 | 14 | |
| 13 | 48 | |
| 14 | 82 | |
| 15 | 239 | |
| 16 | 25 | |
| 17 | 8 | |
| 18 | 17 | |
| 19 | Statistical Mechanical Proof of the Second Law of Thermodynamics based on Volume Entropy | 0 |
| 20 | 2 |
About Michele Campisi
Michele Campisi is a scholar working on Statistical and Nonlinear Physics, Atomic and Molecular Physics, and Optics and Artificial Intelligence, having authored 62 papers that have together received 3.0k indexed citations. Recurring topics across this work include Advanced Thermodynamics and Statistical Mechanics (52 papers), Quantum Information and Cryptography (16 papers) and Quantum many-body systems (16 papers). The work is most often cited by research in Statistical and Nonlinear Physics (2.5k citations), Atomic and Molecular Physics, and Optics (2.2k citations) and Artificial Intelligence (1.3k citations). Michele Campisi has collaborated with scholars based in Italy, Germany and United States. Frequent co-authors include Peter Hänggi, Peter Talkner, Rosario Fazio, Marco Polini, Gian Marcello Andolina, Vittorio Pellegrini, Dario Ferraro, Lorenzo Buffoni, Andrea Solfanelli and Maximilian Keck. Their work appears in journals such as Physical Review Letters, Nature Communications and The Journal of Chemical Physics.
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.