Marianna De Santis
- Condensed Matter Physics top 2%
- Electronic, Optical and Magnetic Materials top 10%
- Atomic and Molecular Physics, and Optics top 10%
- Materials Chemistry
- Computational Theory and Mathematics top 10%
- Co-authors
- A. BianconiA. MarcelliA. Congiu CastellanoP. LagardeA.‐M. FlankA. KotaniHiroshi Katayama‐YoshidaA. Fontaine
- Topics
- Advanced Optimization Algorithms Research (19 papers)Physics of Superconductivity and Magnetism (11 papers)Advanced Multi-Objective Optimization Algorithms (8 papers)
In The Last Decade
Marianna De Santis
31 papers receiving 667 citations
Peers
Comparison fields: 5 of 65
- Condensed Matter Physics 514
- Electronic, Optical and Magnetic Materials 231
- Atomic and Molecular Physics, and Optics 195
- Materials Chemistry 130
- Computational Theory and Mathematics 77
Countries citing papers authored by Marianna De Santis
This map shows the geographic impact of Marianna De Santis'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 Marianna De Santis with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Marianna De Santis more than expected).
Fields of papers citing papers by Marianna De Santis
This network shows the impact of papers produced by Marianna De Santis. 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 Marianna De Santis. The network helps show where Marianna De Santis may publish in the future.
Co-authorship network of co-authors of Marianna De Santis
This figure shows the co-authorship network connecting the top 25 collaborators of Marianna De Santis. A scholar is included among the top collaborators of Marianna De Santis 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 Marianna De Santis. Marianna De Santis 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 | 0 | |
| 3 | 11 | |
| 4 | 2 | |
| 5 | 8 | |
| 6 | 2 | |
| 7 | 5 | |
| 8 | 12 | |
| 9 | 34 | |
| 10 | 3 | |
| 11 | 1 | |
| 12 | 9 | |
| 13 | 1 | |
| 14 | New concave penalty functions for improving the Feasibility Pump | 1 |
| 15 | 9 | |
| 16 | 17 | |
| 17 | 41 | |
| 18 | 106 | |
| 19 | 28 | |
| 20 | 3 |
About Marianna De Santis
Marianna De Santis is a scholar working on Numerical Analysis, Condensed Matter Physics and Computational Theory and Mathematics, having authored 34 papers that have together received 705 indexed citations. Recurring topics across this work include Advanced Optimization Algorithms Research (19 papers), Physics of Superconductivity and Magnetism (11 papers) and Advanced Multi-Objective Optimization Algorithms (8 papers). The work is most often cited by research in Condensed Matter Physics (514 citations), Numerical Analysis (74 citations) and Electronic, Optical and Magnetic Materials (231 citations). Marianna De Santis has collaborated with scholars based in Italy, Germany and France. Frequent co-authors include A. Bianconi, A. Marcelli, A. Congiu Castellano, P. Lagarde, A.‐M. Flank, A. Kotani, Hiroshi Katayama‐Yoshida, A. Fontaine, Andrea Di Cicco and P. Lagarde. Their work appears in journals such as Physical review. B, Condensed matter, Bioinformatics and European Journal of Operational Research.
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.