Mario Compiani
- Molecular Biology
- Materials Chemistry
- Statistical and Nonlinear Physics top 10%
- Artificial Intelligence
- Computational Theory and Mathematics
- Co-authors
- Rita CasadioPiero FariselliEmidio CapriottiPier Luigi MartelliJörg W. StuckiS. Roy CaplanIrene JacoboniRoberto Serra
- Topics
- Protein Structure and Dynamics (15 papers)Machine Learning in Bioinformatics (10 papers)Enzyme Structure and Function (8 papers)
- Journals
- Proceedings of the National Academy of SciencesThe Journal of Chemical PhysicsThe Journal of Physical Chemistry B
- Partner nations
- ItalySwitzerlandIsrael
In The Last Decade
Mario Compiani
25 papers receiving 292 citations
Peers
Comparison fields: 5 of 63
- Molecular Biology 235
- Materials Chemistry 86
- Statistical and Nonlinear Physics 40
- Artificial Intelligence 25
- Computational Theory and Mathematics 21
Countries citing papers authored by Mario Compiani
This map shows the geographic impact of Mario Compiani'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 Mario Compiani with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Mario Compiani more than expected).
Fields of papers citing papers by Mario Compiani
This network shows the impact of papers produced by Mario Compiani. 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 Mario Compiani. The network helps show where Mario Compiani may publish in the future.
Co-authorship network of co-authors of Mario Compiani
This figure shows the co-authorship network connecting the top 25 collaborators of Mario Compiani. A scholar is included among the top collaborators of Mario Compiani 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 Mario Compiani. Mario Compiani is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 59 | |
| 2 | 2 | |
| 3 | 3 | |
| 4 | 7 | |
| 5 | 6 | |
| 6 | 2 | |
| 7 | 4 | |
| 8 | 33 | |
| 9 | A data base of minimally frustrated alpha helical segments extracted from proteins according to an entropy criterion. | 2 |
| 10 | 4 | |
| 11 | 19 | |
| 12 | 7 | |
| 13 | 22 | |
| 14 | 18 | |
| 15 | 1 | |
| 16 | 4 | |
| 17 | Learning and bucket brigade dynamics in classifier systems | 1 |
| 18 | Asymptotic Dynamics of Classifier Systems | 3 |
| 19 | 0 | |
| 20 | 41 |
About Mario Compiani
Mario Compiani is a scholar working on Statistical and Nonlinear Physics, Molecular Biology and Artificial Intelligence, having authored 26 papers that have together received 304 indexed citations. Recurring topics across this work include Protein Structure and Dynamics (15 papers), Machine Learning in Bioinformatics (10 papers) and Enzyme Structure and Function (8 papers). The work is most often cited by research in Molecular Biology (235 citations), Statistical and Nonlinear Physics (40 citations) and Materials Chemistry (86 citations). Mario Compiani has collaborated with scholars based in Italy, Switzerland and Israel. Frequent co-authors include Rita Casadio, Piero Fariselli, Emidio Capriotti, Pier Luigi Martelli, Jörg W. Stucki, S. Roy Caplan, Irene Jacoboni, Roberto Serra, D. Montanari and Marco Villani. Their work appears in journals such as Proceedings of the National Academy of Sciences, The Journal of Chemical Physics and The Journal of Physical Chemistry 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.