Giulia Di Nunno

1.5k citations
54 papers · 783 indexed · h-index 11
Topics
Stochastic processes and financial applications (42 papers)Financial Risk and Volatility Modeling (21 papers)Insurance, Mortality, Demography, Risk Management (10 papers)
Journals
SHILAP Revista de lepidopterologíaThe Annals of StatisticsJournal of Differential Equations
Partner nations
NorwayItalyUkraine

In The Last Decade

Giulia Di Nunno

50 papers receiving 725 citations

Peers

Giulia Di Nunno
Comparison fields: 5 of 49
  • Finance 627
  • Economics and Econometrics 206
  • Management Science and Operations Research 169
  • Demography 157
  • Mathematical Physics 136
Replace Frank Proske with:
Frank Proske Norway
Wolfgang J. Runggaldier Italy
Pierre Henry‐Labordère France
Josef Teichmann Switzerland
Daniel Ocone United States
Ernesto Mordecki Uruguay
Yu. M. Kabanov Russia
Huyên Pham France
Jean Mémin France
Arturo Kohatsu‐Higa Japan
Giulia Di Nunno relative to Frank Proske Norway Frank Proske's profile →
Citations per field
00.5×1.5×
Frank Proske · 1×
Citations per year

Countries citing papers authored by Giulia Di Nunno

Since Specialization
Citations

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

Fields of papers citing papers by Giulia Di Nunno

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Giulia Di Nunno. 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 Giulia Di Nunno. The network helps show where Giulia Di Nunno may publish in the future.

Co-authorship network of co-authors of Giulia Di Nunno

This figure shows the co-authorship network connecting the top 25 collaborators of Giulia Di Nunno. A scholar is included among the top collaborators of Giulia Di Nunno 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 Giulia Di Nunno. Giulia Di Nunno 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
#WorkIndexed citations
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Stochastic analysis and applications : the Abel Symposium 2005, proceedings of the second Abel Symposium, Oslo, July 29 - August 4, 2005, held in honor of Kiyosi Itô
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About Giulia Di Nunno

Giulia Di Nunno is a scholar working on Finance, Mathematical Physics and Demography, having authored 54 papers that have together received 783 indexed citations. Recurring topics across this work include Stochastic processes and financial applications (42 papers), Financial Risk and Volatility Modeling (21 papers) and Insurance, Mortality, Demography, Risk Management (10 papers). The work is most often cited by research in Finance (627 citations), Mathematical Physics (136 citations) and Management Science and Operations Research (169 citations). Giulia Di Nunno has collaborated with scholars based in Norway, Italy and Ukraine. Frequent co-authors include Bernt Øksendal, Frank Proske, Fred Espen Benth, Thilo Meyer‐Brandis, Tusheng Zhang, Tom Lindstrøm, Alessandra Guglielmi, Eugenio Regazzini, Yu. A. Rozanov and Jocelyne Bion–Nadal. Their work appears in journals such as SHILAP Revista de lepidopterología, The Annals of Statistics and Journal of Differential Equations.

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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