Laura Ballotta

872 total citations
48 papers, 597 citations indexed

About

Laura Ballotta is a scholar working on Finance, Demography and Economics and Econometrics. According to data from OpenAlex, Laura Ballotta has authored 48 papers receiving a total of 597 indexed citations (citations by other indexed papers that have themselves been cited), including 36 papers in Finance, 23 papers in Demography and 19 papers in Economics and Econometrics. Recurrent topics in Laura Ballotta's work include Stochastic processes and financial applications (32 papers), Insurance, Mortality, Demography, Risk Management (23 papers) and Financial Risk and Volatility Modeling (15 papers). Laura Ballotta is often cited by papers focused on Stochastic processes and financial applications (32 papers), Insurance, Mortality, Demography, Risk Management (23 papers) and Financial Risk and Volatility Modeling (15 papers). Laura Ballotta collaborates with scholars based in United Kingdom, Italy and Belgium. Laura Ballotta's co-authors include Steven Haberman, Ioannis Kyriakou, Gianluca Fusai, Giorgia Esposito, Griselda Deelstra, Nikos C. Papapostolou, Panos K. Pouliasis, Daniele Marazzina, M. Fabricio Perez and Russell Gerrard and has published in prestigious journals such as European Journal of Operational Research, Tourism Management and Journal of Financial and Quantitative Analysis.

In The Last Decade

Laura Ballotta

44 papers receiving 535 citations

Peers

Laura Ballotta
Comparison fields: 5 of 51
  • Demography 374
  • Finance 347
  • Economics and Econometrics 278
  • Management Science and Operations Research 147
  • General Health Professions 125
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Citations per field, relative to Laura Ballotta
Laura Ballotta · 1×
Citations per year, relative to Laura Ballotta
Laura Ballotta · 1×

Countries citing papers authored by Laura Ballotta

Since Specialization
Citations

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

Fields of papers citing papers by Laura Ballotta

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Laura Ballotta

This figure shows the co-authorship network connecting the top 25 collaborators of Laura Ballotta. A scholar is included among the top collaborators of Laura Ballotta 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 Laura Ballotta. Laura Ballotta 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 2
3 0
4 1
5 23
6 10
7 3
8
Multivariate FX Models with Jumps: Triangles, Quantos and Implied Correlation
1
9 4
10 6
11 35
12 2
13 5
14 13
15 2
16
A Levy Process-based Framework for the Fair Valuation of Participating Life Insurance Contracts
1
17
The IASB Insurance Project for Life Insurance Contracts: Impact on Reserving Methods and Solvency Requirements
0
18
Valuation of Guaranteed Annuity Conversion Options
5
19 59
20 3

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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