Daniele Marazzina

672 citations
52 papers · 418 indexed · h-index 11
  • Finance top 2%
    • Stochastic processes and financial applications 29
    • Financial Risk and Volatility Modeling 11
    • Financial Markets and Investment Strategies 8
    • Credit Risk and Financial Regulations 5
  • Demography top 5%
    • Insurance, Mortality, Demography, Risk Management 8
    • Economic theories and models 11
    • Complex Systems and Time Series Analysis 7
  • Accounting top 10%
    • Financial Literacy, Pension, Retirement Analysis 7

Daniele Marazzina

47 papers receiving 394 citations

Peers

Daniele Marazzina
Comparison fields: 5 of 64
  • Finance 283
  • Demography 78
  • Management Science and Operations Research 63
  • Economics and Econometrics 140
  • Accounting 50
Replace Xuewei Yang with:
Xuewei Yang China
Eric Benhamou France
H. Windcliff Canada
Fei Lung Yuen Hong Kong
H. Gifford Fong United States
San‐Lin Chung Taiwan
Masahiko Egami Japan
A.C.F. Vorst Netherlands
Andrew Carverhill Hong Kong
Klaus Sandmann Germany
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Citations per field
00.5×6.5×
Xuewei Yang · 1×
Citations per year

Countries citing papers authored by Daniele Marazzina

Since Specialization
Citations

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

Fields of papers citing papers by Daniele Marazzina

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

The 17 scholars most cited alongside Daniele Marazzina, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Daniele Marazzina Line = papers co-authored together Daniele Marazzina links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 20251
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7 20231
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9 202346
10 20233
11 20229
12 20226
13 202117
14 20211
15 20191
16 201819
17 201810
18 20165
19 20165
20 20114

About Daniele Marazzina

Daniele Marazzina is a scholar working on Finance, Economics and Econometrics and Demography, having authored 52 papers that have together received 418 indexed citations. Recurring topics across this work include Stochastic processes and financial applications (29 papers), Economic theories and models (11 papers), Financial Risk and Volatility Modeling (11 papers), Insurance, Mortality, Demography, Risk Management (8 papers), Financial Markets and Investment Strategies (8 papers), Financial Literacy, Pension, Retirement Analysis (7 papers), Complex Systems and Time Series Analysis (7 papers) and Credit Risk and Financial Regulations (5 papers). The work is most often cited by research in Finance (283 citations), Demography (78 citations) and Management Science and Operations Research (63 citations). Daniele Marazzina has collaborated with scholars based in Italy, United Kingdom and France. Frequent co-authors include Gianluca Fusai, Emilio Barucci, Guido Germano, Stefania Corsaro, Ioannis Kyriakou, Tommaso Agasisti, Mara Soncin, Laura Ballotta, Michael K. Ng and Marco Ventura. Their work appears in journals such as Management Science, European Journal of Operational Research and Expert Systems with Applications.

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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