Sofia Mosci
Impact in
-
- Cancer, Hypoxia, and Metabolism
- Ophthalmology top 10%
- Ocular Oncology and Treatments
Papers in ⓘ
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- Sparse and Compressive Sensing Techniques 8
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- Gene expression and cancer classification 4
- Co-authors
- Alessandro Verri (17 shared papers)Lorenzo Rosasco (14 shared papers)Silvia Villa (7 shared papers)Annalisa Barla (11 shared papers)Christine De Mol (2 shared papers)Matteo Santoro (4 shared papers)Francesca Odone (1 shared paper)Luigi Varesio (4 shared papers)
- Journals
- Computational Optimization and Applications (1 paper)Optimization (1 paper)The International Journal of Advanced Manufacturing Technology (1 paper)BMC Cancer (1 paper)Ophthalmologica (1 paper)
- Partner nations
- ItalyUnited StatesBelgium
In The Last Decade
Sofia Mosci
22 papers receiving 473 citations
Peers
Comparison fields: 5 of 87
- Cancer Research 102
- Ophthalmology 54
- Neurology 78
- Statistics and Probability 41
- Computer Vision and Pattern Recognition 101
Countries citing papers authored by Sofia Mosci
This map shows the geographic impact of Sofia Mosci'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 Sofia Mosci with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Sofia Mosci more than expected).
Fields of papers citing papers by Sofia Mosci
This network shows the impact of papers produced by Sofia Mosci. 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 Sofia Mosci. The network helps show where Sofia Mosci may publish in the future.
Co-authors
The 25 scholars most cited alongside Sofia Mosci, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 22 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2010 | 78 | |
| 2 | Iterative Projection Methods for Structured Sparsity Regularization | 2009 | 63 |
| 3 | 2008 | 59 | |
| 4 | 2009 | 46 | |
| 5 | A Primal-Dual Algorithm for Group Sparse Regularization with Overlapping Groups | 2010 | 29 |
| 6 | 2012 | 29 | |
| 7 | 2012 | 27 | |
| 8 | 2009 | 21 | |
| 9 | 2009 | 19 | |
| 10 | The use of platelet-rich plasma gel in patients with mixed tumour undergoing superficial parotidectomy: a randomized study. | 2014 | 16 |
| 11 | 2013 | 16 | |
| 12 | A method for robust variable selection with significance assessment | 2008 | 14 |
| 13 | 2007 | 12 | |
| 14 | 2013 | 10 | |
| 15 | A Regularization Approach to Nonlinear Variable Selection | 2010 | 9 |
| 16 | 2014 | 8 | |
| 17 | 2010 | 8 | |
| 18 | 2010 | 7 | |
| 19 | 2012 | 7 | |
| 20 | 2008 | 4 |
About Sofia Mosci
Sofia Mosci is a scholar working on Computational Mechanics, Molecular Biology, Cancer Research, Neurology and Mathematical Physics, having authored 22 papers that have together received 487 indexed citations. Recurring topics across this work include Sparse and Compressive Sensing Techniques (8 papers), Numerical methods in inverse problems (4 papers), Cancer, Hypoxia, and Metabolism (4 papers), Gene expression and cancer classification (4 papers), Neuroblastoma Research and Treatments (4 papers), Face and Expression Recognition (3 papers), Ocular Oncology and Treatments (3 papers) and Neural Networks and Applications (2 papers). The work is most often cited by research in Cancer Research (102 citations), Ophthalmology (54 citations), Neurology (78 citations), Statistics and Probability (41 citations) and Computer Vision and Pattern Recognition (101 citations). Sofia Mosci has collaborated with scholars based in Italy, United States and Belgium. Frequent co-authors include Alessandro Verri, Lorenzo Rosasco, Silvia Villa, Annalisa Barla, Christine De Mol, Matteo Santoro, Francesca Odone, Luigi Varesio, Paolo Fardin and Carlo Mosci. Their work appears in journals such as Computational Optimization and Applications, Optimization, The International Journal of Advanced Manufacturing Technology, BMC Cancer and Ophthalmologica.
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.