Francesca Perla

946 total citations · 1 hit paper
23 papers, 601 citations indexed

About

Francesca Perla is a scholar working on Demography, Finance and Management Science and Operations Research. According to data from OpenAlex, Francesca Perla has authored 23 papers receiving a total of 601 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Demography, 7 papers in Finance and 7 papers in Management Science and Operations Research. Recurrent topics in Francesca Perla's work include Insurance, Mortality, Demography, Risk Management (10 papers), Probability and Risk Models (5 papers) and Stochastic processes and financial applications (5 papers). Francesca Perla is often cited by papers focused on Insurance, Mortality, Demography, Risk Management (10 papers), Probability and Risk Models (5 papers) and Stochastic processes and financial applications (5 papers). Francesca Perla collaborates with scholars based in Italy, Switzerland and South Africa. Francesca Perla's co-authors include P Zanetti, Ugo Fiore, Francesco Palmieri, Alfredo De Santis, Salvatore Scognamiglio, Ronald Richman, Mario V. Wüthrich, Susanna Levantesi, Andrea Nigri and Mario Rosario Guarracino and has published in prestigious journals such as SHILAP Revista de lepidopterología, Information Sciences and IEEE Transactions on Industrial Informatics.

In The Last Decade

Francesca Perla

22 papers receiving 571 citations

Hit Papers

Using generative adversarial networks for improving class... 2017 2026 2020 2023 2017 100 200 300

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Francesca Perla Italy 9 315 138 110 89 78 23 601
David Quintana Spain 12 160 0.5× 40 0.3× 48 0.4× 10 0.1× 281 3.6× 41 558
Wai-Ki Ching Hong Kong 15 56 0.2× 51 0.4× 34 0.3× 17 0.2× 156 2.0× 80 838
Peng Shi United States 19 171 0.5× 271 2.0× 23 0.2× 21 0.2× 423 5.4× 64 1.0k
Michael Ludkovski United States 18 116 0.4× 97 0.7× 15 0.1× 33 0.4× 297 3.8× 64 962
Martin Newby United Kingdom 16 53 0.2× 53 0.4× 59 0.5× 38 0.4× 63 0.8× 47 768
Rogemar Mamon Canada 19 62 0.2× 237 1.7× 27 0.2× 97 1.1× 293 3.8× 82 1.0k
Yongzeng Lai Canada 17 41 0.1× 361 2.6× 110 1.0× 37 0.4× 392 5.0× 59 1.3k
Henry W. Block United States 23 289 0.9× 205 1.5× 63 0.6× 26 0.3× 751 9.6× 66 2.3k
Shian-Chang Huang Taiwan 15 188 0.6× 9 0.1× 91 0.8× 13 0.1× 184 2.4× 42 614
Pilar Poncela Spain 19 59 0.2× 37 0.3× 61 0.6× 33 0.4× 143 1.8× 52 899

Countries citing papers authored by Francesca Perla

Since Specialization
Citations

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

Fields of papers citing papers by Francesca Perla

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Francesca Perla

This figure shows the co-authorship network connecting the top 25 collaborators of Francesca Perla. A scholar is included among the top collaborators of Francesca Perla 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 Francesca Perla. Francesca Perla 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.
Perla, Francesca, Ronald Richman, Salvatore Scognamiglio, & Mario V. Wüthrich. (2024). Accurate and explainable mortality forecasting with the LocalGLMnet. Scandinavian Actuarial Journal. 2024(7). 739–761. 2 indexed citations
2.
Ferretti, Marco, Ugo Fiore, Francesca Perla, Marcello Risitano, & Salvatore Scognamiglio. (2022). Deep Learning Forecasting for Supporting Terminal Operators in Port Business Development. Future Internet. 14(8). 221–221. 2 indexed citations
3.
Perla, Francesca & Salvatore Scognamiglio. (2022). Locally-coherent multi-population mortality modelling via neural networks. Decisions in Economics and Finance. 46(1). 157–176. 11 indexed citations
4.
Fiore, Ugo, et al.. (2021). Machine learning techniques in nested stochastic simulations for life insurance. Applied Stochastic Models in Business and Industry. 37(2). 159–181. 5 indexed citations
5.
Perla, Francesca, Ronald Richman, Salvatore Scognamiglio, & Mario V. Wüthrich. (2020). Time-Series Forecasting of Mortality Rates using Deep Learning. SSRN Electronic Journal. 11 indexed citations
6.
Castellano, Rosalia, Ugo Fiore, Gaetano Musella, et al.. (2019). Do Digital and Communication Technologies Improve Smart Ports? A Fuzzy DEA Approach. IEEE Transactions on Industrial Informatics. 15(10). 5674–5681. 20 indexed citations
7.
Marco, Giuseppe De, et al.. (2018). On the measure of contagion in fuzzy financial networks. Applied Soft Computing. 67. 584–595. 6 indexed citations
8.
Fiore, Ugo, et al.. (2018). An Investigation of Machine Learning Approaches in the Solvency II Valuation Framework. SSRN Electronic Journal. 10 indexed citations
9.
Fiore, Ugo, Alfredo De Santis, Francesca Perla, P Zanetti, & Francesco Palmieri. (2017). Using generative adversarial networks for improving classification effectiveness in credit card fraud detection. Information Sciences. 479. 448–455. 364 indexed citations breakdown →
10.
Fiore, Ugo, P Zanetti, Francesco Palmieri, & Francesca Perla. (2017). Traffic matrix estimation with software-defined NFV: Challenges and opportunities. Journal of Computational Science. 22. 162–170. 10 indexed citations
11.
Perla, Francesca, et al.. (2015). Relevant applications of Monte Carlo simulation in Solvency II. Soft Computing. 21(5). 1181–1192. 7 indexed citations
12.
Perla, Francesca, et al.. (2013). Hybrid MPI/openMP application on multicore architectures: the case of profit-sharing life insurance policies valuation. Applied Mathematical Sciences. 7. 5051–5070. 2 indexed citations
13.
Knüpfer, Andreas, Anders Hast, Marco Danelutto, et al.. (2011). Euro-Par 2010 Parallel Processing Workshops : HeteroPar, HPCC, HiBB, CoreGrid, UCHPC, HPCF, PROPER, CCPI, VHPC, Ischia, Italy, August 31 September 3, 2010, Revised Selected Papers. 700. 5 indexed citations
14.
Corsaro, Stefania, et al.. (2009). Kremm: an E-learning System for Mathematical Models Applied to Economics and Finance. SHILAP Revista de lepidopterología. 3 indexed citations
15.
Corsaro, Stefania, et al.. (2009). On parallel asset-liability management in life insurance: a forward risk-neutral approach. Parallel Computing. 36(7). 390–402. 4 indexed citations
16.
Corsaro, Stefania, et al.. (2008). Financial evaluation of Participating Life Insurance Policies in distributed environments. CINECA IRIS Institutial research information system (Parthenope University of Naples). 1–8. 1 indexed citations
17.
Corsaro, Stefania, et al.. (2007). On High-Performance Software Development for the Numerical Simulation of Life Insurance Policies. 103–128. 4 indexed citations
18.
Guarracino, Mario Rosario, Francesca Perla, & P Zanetti. (2006). A parallel block Lanczos algorithm and its implementation for the evaluation of some eigenvalues of large sparse symmetric matrices on multicomputers. International Journal of Applied Mathematics and Computer Science. 16(2). 241–249. 11 indexed citations
19.
Guarracino, Mario Rosario & Francesca Perla. (2002). A parallel modified block Lanczos' algorithm for distributed memory architectures. i. 424–431. 2 indexed citations
20.
Guarracino, Mario Rosario & Francesca Perla. (1994). A PARALLEL BLOCK LANCZOS ALGORITHM FOR DISTRIBUTED MEMORY ARCHITECTURES. Parallel algorithms and applications. 4(3-4). 211–221. 4 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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