Sofia Mosci

22 papers receiving 545 citations

Peers

Sofia Mosci
Comparison fields: 5 of 93
  • Ophthalmology 59
  • Computational Mechanics 115
  • Cancer Research 73
  • Neurology 73
  • Computer Vision and Pattern Recognition 113
Replace Zhihua Zhang with:
Zhihua Zhang China
Xiaodong Cai United States
Martin Slawski United States
Mingang Chen China
Andrea Tangherloni Italy
Yipeng Huang United States
Firas Khader Germany
Alican Bozkurt United States
Ioan Tăbuş Finland
Zhiqi Chen China
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Citations per field
00.5×2×4×6×8×9.6×
Zhihua Zhang · 1×
Citations per year

Countries citing papers authored by Sofia Mosci

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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.

Border = papers with Sofia Mosci Line = papers co-authored together Sofia Mosci links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 22 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201083
2
Iterative Projection Methods for Structured Sparsity Regularization
200969
3 200866
4 201062
5 200950
6 201231
7
A Primal-Dual Algorithm for Group Sparse Regularization with Overlapping Groups
201030
8 200925
9 200922
10 201320
11
The use of platelet-rich plasma gel in patients with mixed tumour undergoing superficial parotidectomy: a randomized study.
201420
12
A method for robust variable selection with significance assessment
200814
13 200714
14 201310
15
A Regularization Approach to Nonlinear Variable Selection
201010
16 20108
17 20108
18 20148
19 20127
20 20084

About Sofia Mosci

Sofia Mosci is a scholar working on Computational Mechanics, Mathematical Physics, Ophthalmology, Computer Vision and Pattern Recognition and Neurology, having authored 22 papers that have together received 566 indexed citations. Recurring topics across this work include Sparse and Compressive Sensing Techniques (8 papers), Numerical methods in inverse problems (5 papers), Gene expression and cancer classification (4 papers), Face and Expression Recognition (3 papers), Neuroblastoma Research and Treatments (3 papers), Ocular Oncology and Treatments (3 papers), Statistical Methods and Inference (2 papers) and Neural Networks and Applications (2 papers). The work is most often cited by research in Ophthalmology (59 citations), Computational Mechanics (115 citations), Cancer Research (73 citations), Neurology (73 citations) and Computer Vision and Pattern Recognition (113 citations). Sofia Mosci has collaborated with scholars based in Italy, United States and France. Frequent co-authors include Alessandro Verri, Lorenzo Rosasco, Silvia Villa, Annalisa Barla, Matteo Santoro, Christine De Mol, Francesca Odone, Paolo Fardin, Luigi Varesio and Magali Traskine. Their work appears in journals such as The International Journal of Advanced Manufacturing Technology, Computational Management Science, BioMed Research International, European Journal of Ophthalmology and Journal of Computational Biology.

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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