Giovanni Puccetti

2.0k total citations
68 papers, 1.3k citations indexed

About

Giovanni Puccetti is a scholar working on Management Science and Operations Research, Finance and Statistics and Probability. According to data from OpenAlex, Giovanni Puccetti has authored 68 papers receiving a total of 1.3k indexed citations (citations by other indexed papers that have themselves been cited), including 33 papers in Management Science and Operations Research, 23 papers in Finance and 22 papers in Statistics and Probability. Recurrent topics in Giovanni Puccetti's work include Risk and Portfolio Optimization (26 papers), Probability and Risk Models (18 papers) and Financial Risk and Volatility Modeling (17 papers). Giovanni Puccetti is often cited by papers focused on Risk and Portfolio Optimization (26 papers), Probability and Risk Models (18 papers) and Financial Risk and Volatility Modeling (17 papers). Giovanni Puccetti collaborates with scholars based in Italy, Germany and Belgium. Giovanni Puccetti's co-authors include Ludger Rüschendorf, Paul Embrechts, Ruodu Wang, Leonardo Sandrolini, Ugo Reggiani, Valeria Bignozzi, Marco Scarsini, Steven Vanduffel, Anna Elisa Castellano and Bin Wang and has published in prestigious journals such as SHILAP Revista de lepidopterología, European Journal of Operational Research and Journal of Banking & Finance.

In The Last Decade

Giovanni Puccetti

65 papers receiving 1.2k citations

Peers

Giovanni Puccetti
Comparison fields: 5 of 87
  • Management Science and Operations Research 702
  • Finance 568
  • Statistics and Probability 379
  • Economics and Econometrics 361
  • Electrical and Electronic Engineering 147
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Citations per field, relative to Giovanni Puccetti
Giovanni Puccetti · 1×
Citations per year, relative to Giovanni Puccetti
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Countries citing papers authored by Giovanni Puccetti

Since Specialization
Citations

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

Fields of papers citing papers by Giovanni Puccetti

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Giovanni Puccetti

This figure shows the co-authorship network connecting the top 25 collaborators of Giovanni Puccetti. A scholar is included among the top collaborators of Giovanni Puccetti 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 Giovanni Puccetti. Giovanni Puccetti 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
# Work Indexed citations
1 0
2 4
3 0
4 17
5
Computation of Sharp Bounds on the Expected Value of a Supermodular Function of Risks with Given Marginals
1
6 1
7 36
8 73
9 2
10 15
11 19
12 28
13 7
14 32
15
Asymptotic equivalence of conservative VaR- and ES-based capital charges
8
16 30
17 88
18 20
19 11
20 71

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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