Raffaella Calabrese

1.6k citations
58 papers · 1.0k indexed · 1 hit paper · h-index 20
Topics
Financial Distress and Bankruptcy Prediction (21 papers)Banking stability, regulation, efficiency (19 papers)Credit Risk and Financial Regulations (14 papers)

In The Last Decade

Raffaella Calabrese

52 papers receiving 961 citations

Hit Papers

Interpretable machine learning for imbalanced credit scor...20232026202420252023204060

Peers

Raffaella Calabrese
Comparison fields: 5 of 95
  • Accounting 474
  • Finance 405
  • Economics and Econometrics 349
  • Artificial Intelligence 217
  • Management Information Systems 97
Replace Xiaoqian Zhu with:
Xiaoqian Zhu China
Chrysovalantis Gaganis Greece
Blanca Pérez‐Gladish Spain
Galina Andreeva United Kingdom
Suresh Ramakrishnan Malaysia
Francisco Guijarro Spain
Ali Bayrakdaroğlu Türkiye
David Veredas Belgium
John Pointon United Kingdom
Guotai Chi China
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Citations per field
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Xiaoqian Zhu · 1×
Citations per year

Countries citing papers authored by Raffaella Calabrese

Since Specialization
Citations

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

Fields of papers citing papers by Raffaella Calabrese

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Raffaella Calabrese

This figure shows the co-authorship network connecting the top 25 collaborators of Raffaella Calabrese. A scholar is included among the top collaborators of Raffaella Calabrese 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 Raffaella Calabrese. Raffaella Calabrese 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
1 1
2 0
3 2
4 0
5 27
6 11
7 1
8 22
9 13
10 21
11 1
12 8
13 2
14 16
15 27
16 2
17 28
18 47
19
Estimating bank default with generalised extreme value models
7
20
Regression for Recovery Rates with both Continuous and Discrete Characteristics
3

About Raffaella Calabrese

Raffaella Calabrese is a scholar working on Accounting, Finance and Economics and Econometrics, having authored 58 papers that have together received 1.0k indexed citations. Recurring topics across this work include Financial Distress and Bankruptcy Prediction (21 papers), Banking stability, regulation, efficiency (19 papers) and Credit Risk and Financial Regulations (14 papers). The work is most often cited by research in Accounting (474 citations), Finance (405 citations) and Economics and Econometrics (349 citations). Raffaella Calabrese has collaborated with scholars based in United Kingdom, Italy and United States. Frequent co-authors include Silvia Angela Osmetti, Jonathan Crook, Michele Zenga, Paolo Giudici, Claudia Girardone, Marc Cowling, Belén Martín-Barragán, Weixi Liu, Luca Zanin and Giampiero Marra. Their work appears in journals such as SHILAP Revista de lepidopterología, 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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