Francesca Campolongo

18.0k total citations · 4 hit papers
36 papers, 12.9k citations indexed

About

Francesca Campolongo is a scholar working on Statistics, Probability and Uncertainty, Finance and Computational Theory and Mathematics. According to data from OpenAlex, Francesca Campolongo has authored 36 papers receiving a total of 12.9k indexed citations (citations by other indexed papers that have themselves been cited), including 18 papers in Statistics, Probability and Uncertainty, 13 papers in Finance and 8 papers in Computational Theory and Mathematics. Recurrent topics in Francesca Campolongo's work include Probabilistic and Robust Engineering Design (18 papers), Credit Risk and Financial Regulations (8 papers) and Advanced Multi-Objective Optimization Algorithms (6 papers). Francesca Campolongo is often cited by papers focused on Probabilistic and Robust Engineering Design (18 papers), Credit Risk and Financial Regulations (8 papers) and Advanced Multi-Objective Optimization Algorithms (6 papers). Francesca Campolongo collaborates with scholars based in Italy, Belgium and Australia. Francesca Campolongo's co-authors include Andrea Saltelli, Stefano Tarantola, Marco Ratto, Jessica Cariboni, Terry Andres, Michaela Saisana, Debora Gatelli, Ivano Azzini, Paola Annoni and R. D. Braddock and has published in prestigious journals such as Chemical Reviews, Journal of Banking & Finance and Computer Physics Communications.

In The Last Decade

Francesca Campolongo

36 papers receiving 12.4k citations

Hit Papers

Global Sensitivity Analysis. The Primer 2004 2026 2011 2018 2007 2009 2004 2007 1000 2.0k 3.0k 4.0k

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Francesca Campolongo Italy 22 3.9k 2.6k 2.1k 1.6k 1.3k 36 12.9k
Marco Ratto Italy 30 3.4k 0.9× 2.2k 0.9× 1.9k 0.9× 1.5k 0.9× 1.3k 1.0× 78 11.7k
Stefano Tarantola Italy 50 6.0k 1.5× 4.1k 1.6× 3.2k 1.5× 3.6k 2.2× 2.0k 1.5× 103 20.6k
Michael D. McKay United States 20 3.4k 0.9× 1.7k 0.7× 2.3k 1.1× 1.2k 0.7× 876 0.7× 26 13.8k
I. M. Sobol Russia 24 5.3k 1.4× 1.7k 0.7× 2.4k 1.1× 901 0.5× 710 0.5× 73 12.3k
Richard J. Beckman United States 22 2.7k 0.7× 1.4k 0.6× 2.0k 0.9× 1.3k 0.8× 786 0.6× 73 16.2k
Max D. Morris United States 23 2.5k 0.6× 1.5k 0.6× 1.1k 0.5× 949 0.6× 883 0.7× 111 8.4k
Jessica Cariboni Italy 14 1.9k 0.5× 1.4k 0.5× 1.1k 0.5× 933 0.6× 658 0.5× 36 7.1k
J.C. Helton United States 37 5.6k 1.4× 1.4k 0.5× 1.7k 0.8× 641 0.4× 424 0.3× 169 9.7k
Andrea Saltelli Italy 59 8.6k 2.2× 5.2k 2.0× 4.4k 2.1× 4.0k 2.4× 2.7k 2.1× 181 28.4k
Michael L. Stein United States 40 1.3k 0.3× 4.6k 1.8× 851 0.4× 2.1k 1.3× 552 0.4× 152 12.9k

Countries citing papers authored by Francesca Campolongo

Since Specialization
Citations

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

Fields of papers citing papers by Francesca Campolongo

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Francesca Campolongo

This figure shows the co-authorship network connecting the top 25 collaborators of Francesca Campolongo. A scholar is included among the top collaborators of Francesca Campolongo 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 Campolongo. Francesca Campolongo 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.
Campolongo, Francesca, et al.. (2012). The Potential Impact of Banking Crises on Public Finances. 2011(2). 73–84. 7 indexed citations
2.
Campolongo, Francesca, et al.. (2012). Contingent Conversion Convertible Bond: New Avenue to Raise Bank Capital. SSRN Electronic Journal. 4 indexed citations
3.
Jönsson, Henrik, et al.. (2012). Sense and Sensitivity: An Input Space Odyssey for ABS Ratings. SSRN Electronic Journal. 1 indexed citations
4.
Jönsson, Henrik, et al.. (2012). Sense and Sensitivity: An Input Space Odyssey for Asset-Backed Security Ratings. International Journal of Financial Research. 3(4). 1 indexed citations
5.
Saltelli, Andrea, Paola Annoni, Ivano Azzini, et al.. (2009). Variance based sensitivity analysis of model output. Design and estimator for the total sensitivity index. Computer Physics Communications. 181(2). 259–270. 2234 indexed citations breakdown →
6.
Cariboni, Jessica, et al.. (2008). Deposit protection in the EU: State of play and future prospects. Journal of Banking Regulation. 9(2). 82–101. 6 indexed citations
7.
Saltelli, Andrea, Francesca Campolongo, & Jessica Cariboni. (2008). Screening important inputs in models with strong interaction properties. Reliability Engineering & System Safety. 94(7). 1149–1155. 32 indexed citations
8.
Zedda, Stefano, et al.. (2008). Modelling Deposit Insurance Scheme Losses in a Basel 2 Framework. SSRN Electronic Journal. 4 indexed citations
9.
Campolongo, Francesca, Jessica Cariboni, & Andrea Saltelli. (2007). An effective screening design for sensitivity analysis of large models. Environmental Modelling & Software. 22(10). 1509–1518. 1378 indexed citations breakdown →
10.
Saltelli, Andrea, Stefano Tarantola, & Francesca Campolongo. (2005). Global Sensitivity Analysis: An Introduction. 45 indexed citations
11.
Campolongo, Francesca, Jessica Cariboni, & Wim Schoutens. (2005). Enhancing the Morris Method. Joint Research Centre (European Commission). 39 indexed citations
12.
Saltelli, Andrea, Marco Ratto, Stefano Tarantola, & Francesca Campolongo. (2005). Sensitivity Analysis for Chemical Models. ChemInform. 36(42). 9 indexed citations
13.
Campolongo, Francesca, et al.. (2005). Pricing Multiasset Equity Options with Copulas: An Empirical Test. SSRN Electronic Journal. 1 indexed citations
14.
Saltelli, Andrea, Stefano Tarantola, Francesca Campolongo, & Marco Ratto. (2004). Sensitivity Analysis in Practice: A Guide to Assessing Scientific Models. 1396 indexed citations breakdown →
15.
Jost, Christian, et al.. (2004). The effects of mixotrophy on the stability and dynamics of a simple planktonic food web model. Theoretical Population Biology. 66(1). 37–51. 37 indexed citations
16.
Saltelli, Andrea, Stefano Tarantola, & Francesca Campolongo. (2000). Sensitivity Analysis as an Ingredient of Modeling. 488 indexed citations
17.
Campolongo, Francesca, Andrea Saltelli, & Stefano Tarantola. (2000). Sensitivity Anaysis as an Ingredient of Modeling. Statistical Science. 15(4). 492 indexed citations
18.
Campolongo, Francesca, Stefano Tarantola, & Andrea Saltelli. (1999). Tackling quantitatively large dimensionality problems. Computer Physics Communications. 117(1-2). 75–85. 94 indexed citations
19.
Campolongo, Francesca & Albert J. Gabric. (1997). The parametric sensitivity of dimethylsulfide flux in the southern ocean. Journal of Statistical Computation and Simulation. 57(1-4). 337–352. 9 indexed citations
20.
Campolongo, Francesca & Andrea Saltelli. (1997). Sensitivity analysis of an environmental model: an application of different analysis methods. Reliability Engineering & System Safety. 57(1). 49–69. 217 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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