Marianna De Santis

970 total citations
34 papers, 705 citations indexed

About

Marianna De Santis is a scholar working on Numerical Analysis, Computational Theory and Mathematics and Condensed Matter Physics. According to data from OpenAlex, Marianna De Santis has authored 34 papers receiving a total of 705 indexed citations (citations by other indexed papers that have themselves been cited), including 19 papers in Numerical Analysis, 15 papers in Computational Theory and Mathematics and 12 papers in Condensed Matter Physics. Recurrent topics in Marianna De Santis's work include Advanced Optimization Algorithms Research (19 papers), Physics of Superconductivity and Magnetism (11 papers) and Advanced Multi-Objective Optimization Algorithms (8 papers). Marianna De Santis is often cited by papers focused on Advanced Optimization Algorithms Research (19 papers), Physics of Superconductivity and Magnetism (11 papers) and Advanced Multi-Objective Optimization Algorithms (8 papers). Marianna De Santis collaborates with scholars based in Italy, France and Germany. Marianna De Santis's co-authors include A. Bianconi, A. Marcelli, A. Congiu Castellano, P. Lagarde, A.‐M. Flank, Hiroshi Katayama‐Yoshida, A. Kotani, Andrea Di Cicco, A. Fontaine and Petra Rudolf and has published in prestigious journals such as Physical review. B, Condensed matter, Bioinformatics and European Journal of Operational Research.

In The Last Decade

Marianna De Santis

31 papers receiving 667 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Marianna De Santis Italy 12 514 231 195 130 77 34 705
Phani Motamarri United States 11 80 0.2× 18 0.1× 192 1.0× 184 1.4× 54 0.7× 18 458
Simon Gerber Switzerland 14 378 0.7× 274 1.2× 110 0.6× 46 0.4× 12 0.2× 33 612
Tota Nakamura Japan 15 459 0.9× 108 0.5× 220 1.1× 82 0.6× 7 0.1× 40 595
Elizabeth Behrman United States 14 59 0.1× 28 0.1× 257 1.3× 192 1.5× 44 0.6× 42 757
S. Kobe Germany 13 289 0.6× 54 0.2× 125 0.6× 99 0.8× 25 0.3× 41 410
Anil Damle United States 8 37 0.1× 14 0.1× 124 0.6× 91 0.7× 19 0.2× 17 245
K. Ravindran Nair India 12 43 0.1× 36 0.2× 7 0.0× 135 1.0× 4 0.1× 35 337
Deborah S. Franzblau United States 8 37 0.1× 31 0.1× 59 0.3× 285 2.2× 48 0.6× 16 486
Dmitry Yudin Russia 12 141 0.3× 69 0.3× 392 2.0× 107 0.8× 12 0.2× 27 538

Countries citing papers authored by Marianna De Santis

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

20 of 20 papers shown
1.
Santis, Marianna De, et al.. (2024). Using dual relaxations in multiobjective mixed-integer convex quadratic programming. Journal of Global Optimization. 92(1). 159–186.
2.
3.
Santis, Marianna De, et al.. (2024). On Necessary Optimality Conditions for Sets of Points in Multiobjective Optimization. Journal of Optimization Theory and Applications. 203(1). 126–145.
4.
Santis, Marianna De, et al.. (2023). Machine Learning-Based Classification to Disentangle EEG Responses to TMS and Auditory Input. Brain Sciences. 13(6). 866–866. 11 indexed citations
5.
Santis, Marianna De, et al.. (2022). Minimization over the $$\ell _1$$-ball using an active-set non-monotone projected gradient. Computational Optimization and Applications. 83(2). 693–721. 2 indexed citations
6.
Santis, Marianna De, et al.. (2022). On the exactness of the ε-constraint method for biobjective nonlinear integer programming. Operations Research Letters. 50(3). 356–361. 8 indexed citations
7.
Conforti, Michele, Marianna De Santis, Marco Di Summa, & Francesco Rinaldi. (2021). Scanning integer points with lex-inequalities: a finite cutting plane algorithm for integer programming with linear objective. Research Padua Archive (University of Padua). 2 indexed citations
8.
Petti, Manuela, et al.. (2021). MOSES: A New Approach to Integrate Interactome Topology and Functional Features for Disease Gene Prediction. Genes. 12(11). 1713–1713. 5 indexed citations
9.
Santis, Marianna De & Gabriele Eichfelder. (2021). A decision space algorithm for multiobjective convex quadratic integer optimization. Computers & Operations Research. 134. 105396–105396. 12 indexed citations
10.
Santis, Marianna De, et al.. (2020). Solving Multiobjective Mixed Integer Convex Optimization Problems. SIAM Journal on Optimization. 30(4). 3122–3145. 34 indexed citations
11.
Santis, Marianna De, Franz Rendl, & Angelika Wiegele. (2018). Using a factored dual in augmented Lagrangian methods for semidefinite programming. Operations Research Letters. 46(5). 523–528. 3 indexed citations
12.
Santis, Marianna De. (2016). Dual approaches for a specific class of integer nonlinear programming problems. Electronic Notes in Discrete Mathematics. 55. 73–76. 1 indexed citations
13.
Santis, Marianna De, Gianni Di Pillo, & Stefano Lucidi. (2012). An active set feasible method for large-scale minimization problems with bound constraints. Computational Optimization and Applications. 53(2). 395–423. 9 indexed citations
14.
Santis, Marianna De & Francesco Rinaldi. (2011). Continuous Reformulations for Zero–One Programming Problems. Journal of Optimization Theory and Applications. 153(1). 75–84. 1 indexed citations
15.
Santis, Marianna De, Stefano Lucidi, & Francesco Rinaldi. (2010). New concave penalty functions for improving the Feasibility Pump. CNR SOLAR (Scientific Open-access Literature Archive and Repository) (University of Southampton). 2(10). 1 indexed citations
16.
Bianconi, A., Marianna De Santis, Andrea Di Cicco, et al.. (1988). Weight of 3d9 ligand hole configuration as function of oxygen content in YBa2Cu3O6.5+x by joint L3 XAS and XPS. Physica C Superconductivity. 153-155. 115–116. 9 indexed citations
17.
Bianconi, A., P. Castrucci, Marianna De Santis, et al.. (1988). SYMMETRY OF THE HOLE STATES IN BiCaSrCuO HIGH-Tc SUPERCONDUCTORS. Modern Physics Letters B. 2(11n12). 1313–1318. 17 indexed citations
18.
Bianconi, A., A. Clozza, A. Congiu Castellano, et al.. (1987). EXPERIMENTAL EVIDENCE OF ITINERANT Cu 3d9 - OXYGEN HOLE MANY BODY CONFIGURATION IN THE HIGH-TC SUPERCONDUCTOR YBa2Cu3O~7. International Journal of Modern Physics B. 1(03n04). 853–862. 28 indexed citations
19.
Bianconi, A., A. Clozza, A. Congiu Castellano, et al.. (1987). Cu 3d9- LIGAND HOLE CONFIGURATION IN YBa2Cu3O~7BY X-RAY SPECTROSCOPIES. Le Journal de Physique Colloques. 48(C9). C9–1179. 3 indexed citations
20.
Bianconi, A., et al.. (1987). Localization of Cu 3d levels in the high Tc superconductor YBa2Cu3O∼7 by Cu 2p X-ray photoelectron spectroscopy. Solid State Communications. 63(12). 1135–1139. 106 indexed citations

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.

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