Massimo Guidolin

6.8k citations
168 papers · 3.3k · h-index 26

Impact in

Papers in

    • Financial Markets and Investment Strategies 106
    • Financial Risk and Volatility Modeling 41
    • Stochastic processes and financial applications 35
    • Credit Risk and Financial Regulations 18
    • Market Dynamics and Volatility 41
    • Housing Market and Economics 32
    • Complex Systems and Time Series Analysis 20

Massimo Guidolin

160 papers receiving 3.2k citations

Peers

Massimo Guidolin
Comparison fields: 5 of 89
  • Finance 2.4k
  • General Economics, Econometrics and Finance 961
  • Economics and Econometrics 2.1k
  • Accounting 496
  • General Decision Sciences 71
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Citations per field
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Citations per year

Countries citing papers authored by Massimo Guidolin

Since Specialization
Citations

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

Fields of papers citing papers by Massimo Guidolin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Massimo Guidolin, 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 Massimo Guidolin Line = papers co-authored together Massimo Guidolin links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 168 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2008273
2 2007259
3 2006192
4 2007186
5 2004146
6 2010142
7 2009124
8 2012102
9 200694
10 200772
11 200772
12 200870
13 200568
14 200655
15 200954
16 200449
17 200647
18 201946
19 200743
20 201942

About Massimo Guidolin

Massimo Guidolin is a scholar working on Finance, Economics and Econometrics, General Economics, Econometrics and Finance, Accounting and Management Science and Operations Research, having authored 168 papers that have together received 3.3k indexed citations. Recurring topics across this work include Financial Markets and Investment Strategies (106 papers), Monetary Policy and Economic Impact (55 papers), Financial Risk and Volatility Modeling (41 papers), Market Dynamics and Volatility (41 papers), Stochastic processes and financial applications (35 papers), Housing Market and Economics (32 papers), Complex Systems and Time Series Analysis (20 papers) and Credit Risk and Financial Regulations (18 papers). The work is most often cited by research in Finance (2.4k citations), General Economics, Econometrics and Finance (961 citations), Economics and Econometrics (2.1k citations), Accounting (496 citations) and General Decision Sciences (71 citations). Massimo Guidolin has collaborated with scholars based in Italy, United Kingdom and United States. Frequent co-authors include Allan Timmermann, Eliana La Ferrara, Francesca Romana Rinaldi, Manuela Pedio, Simona Mola, Stuart Hyde, Śılvia Gonçalves, Giovanna Nicodano, Daniele Bianchi and David G. McMillan. Their work appears in journals such as The Journal of Real Estate Finance and Economics, European Journal of Operational Research, Journal of Economic Dynamics and Control, Quantitative Finance and Finance research letters.

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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