Silvia Figini

1.1k total citations
53 papers, 651 citations indexed

About

Silvia Figini is a scholar working on Artificial Intelligence, Finance and Accounting. According to data from OpenAlex, Silvia Figini has authored 53 papers receiving a total of 651 indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Artificial Intelligence, 14 papers in Finance and 11 papers in Accounting. Recurrent topics in Silvia Figini's work include Credit Risk and Financial Regulations (12 papers), Financial Distress and Bankruptcy Prediction (11 papers) and Imbalanced Data Classification Techniques (7 papers). Silvia Figini is often cited by papers focused on Credit Risk and Financial Regulations (12 papers), Financial Distress and Bankruptcy Prediction (11 papers) and Imbalanced Data Classification Techniques (7 papers). Silvia Figini collaborates with scholars based in Italy, United States and Switzerland. Silvia Figini's co-authors include Paolo Giudici, Dean Fantazzini, Chiara Gigliarano, Pietro Muliere, Mattia Zanella, Marika Vezzoli, Elena Ballante, Giuseppe Toscani, Silvia Salini and Anna Pichiecchio and has published in prestigious journals such as SHILAP Revista de lepidopterología, PLoS ONE and Scientific Reports.

In The Last Decade

Silvia Figini

48 papers receiving 604 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Silvia Figini Italy 13 192 142 131 97 76 53 651
María Óskarsdóttir Iceland 14 215 1.1× 274 1.9× 98 0.7× 76 0.8× 95 1.3× 48 865
Halina Frydman United States 17 361 1.9× 202 1.4× 359 2.7× 183 1.9× 23 0.3× 44 1.1k
Xiaojun Ma China 11 104 0.5× 207 1.5× 39 0.3× 46 0.5× 78 1.0× 39 576
Emanuela Raffinetti Italy 12 88 0.5× 219 1.5× 92 0.7× 145 1.5× 57 0.8× 37 580
Noelia García Spain 15 212 1.1× 272 1.9× 105 0.8× 182 1.9× 67 0.9× 42 923
Woojin Chang South Korea 14 50 0.3× 68 0.5× 184 1.4× 399 4.1× 50 0.7× 55 686
Dedi Rosadi Indonesia 13 77 0.4× 96 0.7× 88 0.7× 137 1.4× 89 1.2× 134 777
Philippe du Jardin France 16 538 2.8× 341 2.4× 184 1.4× 76 0.8× 26 0.3× 32 949
Ling Feng Singapore 14 17 0.1× 90 0.6× 135 1.0× 277 2.9× 123 1.6× 44 806
Steven Finlay United Kingdom 11 355 1.8× 307 2.2× 167 1.3× 66 0.7× 67 0.9× 19 593

Countries citing papers authored by Silvia Figini

Since Specialization
Citations

This map shows the geographic impact of Silvia Figini'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 Silvia Figini with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Silvia Figini more than expected).

Fields of papers citing papers by Silvia Figini

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Silvia Figini. 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 Silvia Figini. The network helps show where Silvia Figini may publish in the future.

Co-authorship network of co-authors of Silvia Figini

This figure shows the co-authorship network connecting the top 25 collaborators of Silvia Figini. A scholar is included among the top collaborators of Silvia Figini 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 Silvia Figini. Silvia Figini 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.
2.
Piralla, Antonio, et al.. (2025). Predictability of viral load dynamics in the early phases of SARS-CoV-2 through a model-based approach. Mathematical Biosciences & Engineering. 22(4). 725–743. 1 indexed citations
3.
Paoletti, Matteo, Mauro Monforte, Giorgio Tasca, et al.. (2025). Natural history of facioscapulohumeral muscular dystrophy evaluated by multiparametric quantitative MRI: a prospective cohort study. Journal of Neurology. 272(4). 306–306.
4.
Paoletti, Matteo, Mauro Monforte, Sara Bortolani, et al.. (2024). Muscle diffusion tensor imaging in facioscapulohumeral muscular dystrophy. Muscle & Nerve. 70(2). 248–256. 1 indexed citations
5.
Bortolotto, Chandra, Ian Postuma, Giulia Maria Stella, et al.. (2024). CT and MRI radiomic features of lung cancer (NSCLC): comparison and software consistency. European Radiology Experimental. 8(1). 71–71. 5 indexed citations
6.
Arosio, Paolo, Stefano Carrazza, Silvia Figini, et al.. (2023). Fast deep learning reconstruction techniques for preclinical magnetic resonance fingerprinting. NMR in Biomedicine. 37(1). e5028–e5028. 6 indexed citations
7.
Pedretti, Laura, Massimiliano Bordoni, Valerio Vivaldi, et al.. (2023). InterpolatiON of InSAR Time series for the dEtection of ground deforMatiOn eVEnts (ONtheMOVE): application to slow-moving landslides. Landslides. 20(9). 1797–1813. 13 indexed citations
8.
Paoletti, Matteo, Mauro Monforte, Niels Bergsland, et al.. (2023). Radiomics and machine learning applied to STIR sequence for prediction of quantitative parameters in facioscapulohumeral disease. Frontiers in Neurology. 14. 1105276–1105276. 2 indexed citations
9.
Bozzani, Antonio, Vittorio Arici, Guido Tavazzi, et al.. (2023). Trends (2020–2022) toward Reduced Prevalence of Postcoronavirus Disease Syndrome and Improved Quality of Life for Hospitalized Coronavirus Disease 2019 Patients with Severe Infection and Venous Thromboembolism. Seminars in Thrombosis and Hemostasis. 50(6). 835–841. 1 indexed citations
10.
Farina, Lisa Maria, Paola Bini, Enrico Marchioni, et al.. (2022). Uncertainty quantification and control of kinetic models of tumour growth under clinical uncertainties. Institutional Research Information System University of Ferrara (University of Ferrara). 10 indexed citations
11.
Signorini, Sabrina, et al.. (2022). Visual Function Score: A New Clinical Tool to Assess Visual Function and Detect Visual Disorders in Children. Frontiers in Pediatrics. 10. 868974–868974. 5 indexed citations
12.
Paoletti, Matteo, Luca Diamanti, Elena Ballante, et al.. (2021). Longitudinal Quantitative MRI Evaluation of Muscle Involvement in Amyotrophic Lateral Sclerosis. Frontiers in Neurology. 12. 749736–749736. 6 indexed citations
13.
Zanella, Mattia, Silvia Deandrea, Pietro Perotti, et al.. (2021). Social contacts, epidemic spreading and health system. Mathematical modeling and applications to COVID-19 infection. Mathematical Biosciences & Engineering. 18(4). 3384–3403. 10 indexed citations
14.
Agosti, Abramo, Maria Evelina Fantacci, Silvia Figini, et al.. (2021). Quantification of pulmonary involvement in COVID-19 pneumonia by means of a cascade of two U-nets: training and assessment on multiple datasets using different annotation criteria. International Journal of Computer Assisted Radiology and Surgery. 17(2). 229–237. 11 indexed citations
15.
Ballante, Elena, et al.. (2020). Economic Segregation Under the Action of Trading Uncertainties. Symmetry. 12(9). 1390–1390. 6 indexed citations
16.
Mensi, Martina Maria, et al.. (2020). Focus on family functioning in anorexia nervosa: new perspectives using the Lausanne Trilogue Play. Psychiatry Research. 288. 112968–112968. 11 indexed citations
17.
Milanese, Chiara, César Payán‐Gómez, Maria Tresini, et al.. (2019). Peripheral mitochondrial function correlates with clinical severity in idiopathic Parkinson's disease. Movement Disorders. 34(8). 1192–1202. 25 indexed citations
18.
Fantazzini, Dean, et al.. (2009). Enhanced credit default models for heterogeneous SME segments. Journal of financial transformation. 25. 31–39. 5 indexed citations
19.
Figini, Silvia & Dean Fantazzini. (2009). Random Survival Forests Models for SME Credit Risk Measurement. 17 indexed citations
20.
Cerchiello, Paola & Silvia Figini. (2007). Feature selection for genomic data.. 36. 147–153. 1 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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