Raffaella Calabrese

1.6k total citations · 1 hit paper
58 papers, 1.0k citations indexed

About

Raffaella Calabrese is a scholar working on Accounting, Economics and Econometrics and Finance. According to data from OpenAlex, Raffaella Calabrese has authored 58 papers receiving a total of 1.0k indexed citations (citations by other indexed papers that have themselves been cited), including 31 papers in Accounting, 28 papers in Economics and Econometrics and 26 papers in Finance. Recurrent topics in Raffaella Calabrese's work include Financial Distress and Bankruptcy Prediction (21 papers), Banking stability, regulation, efficiency (19 papers) and Credit Risk and Financial Regulations (14 papers). Raffaella Calabrese is often cited by papers focused on Financial Distress and Bankruptcy Prediction (21 papers), Banking stability, regulation, efficiency (19 papers) and Credit Risk and Financial Regulations (14 papers). Raffaella Calabrese collaborates with scholars based in United Kingdom, Italy and United States. Raffaella Calabrese's 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 and has published in prestigious journals such as SHILAP Revista de lepidopterología, European Journal of Operational Research and Expert Systems with Applications.

In The Last Decade

Raffaella Calabrese

52 papers receiving 961 citations

Hit Papers

align trajectories sort by overperformance

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Interpretable machine learning for imbalanced credit scoring datasets

2023 74 citations Raffaella Calabrese et al. European Journal of Operational Research profile →

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name	h						Papers	Cites
Raffaella Calabrese United Kingdom	20	474	405	349	217	97	58	1.0k
Galina Andreeva United Kingdom	15	451 1.0×	280 0.7×	190 0.5×	143 0.7×	72 0.7×	36	706
D.K. Malhotra United States	13	579 1.2×	472 1.2×	319 0.9×	291 1.3×	44 0.5×	75	925
Adrian Gepp Australia	17	487 1.0×	158 0.4×	198 0.6×	242 1.1×	168 1.7×	54	1.0k
Xiaoqian Zhu China	21	362 0.8×	322 0.8×	503 1.4×	270 1.2×	184 1.9×	75	1.4k
Chrysovalantis Gaganis Greece	25	906 1.9×	726 1.8×	590 1.7×	171 0.8×	52 0.5×	83	1.6k
Augustinos I. Dimitras Greece	13	860 1.8×	273 0.7×	177 0.5×	431 2.0×	34 0.4×	30	1.2k
Pervaiz Alam United States	18	701 1.5×	197 0.5×	168 0.5×	234 1.1×	120 1.2×	58	1.0k
Rongda Chen China	17	219 0.5×	279 0.7×	515 1.5×	172 0.8×	79 0.8×	68	1.0k
John Pointon United Kingdom	15	594 1.3×	272 0.7×	184 0.5×	345 1.6×	54 0.6×	40	991
Anna Chernobai United States	14	301 0.6×	321 0.8×	274 0.8×	19 0.1×	126 1.3×	25	760

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

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20 of 20 papers shown

Harrison, Tina, et al.. (2024). Understanding Vulnerability to the Poverty Premium: An Analysis of Factors Influencing Use of High-Cost Credit Among Low-Income Individuals. International Journal for Population Data Science. 9(4).

Harrison, Tina, et al.. (2024). Measuring the energy poverty premium in Great Britain and identifying its main drivers based on longitudinal household survey data. Energy Economics. 136. 107726–107726. 2 indexed citations

Calabrese, Raffaella, Silvia Angela Osmetti, & Luca Zanin. (2024). Sample selection bias in non-traditional lending: A copula-based approach for imbalanced data. Socio-Economic Planning Sciences. 95. 102045–102045. 1 indexed citations

Hayunga, Darren K., et al.. (2024). Differential Measurement Error in House Price Indices. The Journal of Real Estate Finance and Economics.

Chen, Jingyuan, Raffaella Calabrese, & Marc Cowling. (2023). Does energy efficiency of UK SMEs affect their access to finance?. Energy Economics. 129. 107251–107251. 11 indexed citations

Calabrese, Raffaella, et al.. (2023). Impacts of extreme weather events on mortgage risks and their evolution under climate change: A case study on Florida. European Journal of Operational Research. 314(1). 377–392. 27 indexed citations

Cowling, Marc, et al.. (2023). Financing small and innovative firms during COVID-19. Economics of Innovation and New Technology. 33(8). 1214–1241. 1 indexed citations

Calabrese, Raffaella, et al.. (2022). Machine learning interpretability for a stress scenario generation in credit scoring based on counterfactuals. Expert Systems with Applications. 202. 117271–117271. 22 indexed citations

Calabrese, Raffaella, et al.. (2022). Joint models for longitudinal and discrete survival data in credit scoring. European Journal of Operational Research. 307(3). 1457–1473. 15 indexed citations

10.

Calabrese, Raffaella & Luca Zanin. (2021). Modelling spatial dependence for Loss Given Default in peer-to-peer lending. Expert Systems with Applications. 192. 116295–116295. 8 indexed citations

11.

Cowling, Marc, Weixi Liu, & Raffaella Calabrese. (2021). Has previous loan rejection scarred firms from applying for loans during Covid-19?. Small Business Economics. 59(4). 1327–1350. 21 indexed citations

12.

Calabrese, Raffaella, et al.. (2020). What affects bank debt rejections? Bank lending conditions for UK SMEs. European Journal of Finance. 27(6). 537–563. 2 indexed citations

13.

Calabrese, Raffaella, et al.. (2019). Mortgage default decisions in the presence of non-normal, spatially dependent disturbances. Regional Science and Urban Economics. 76. 103–114. 2 indexed citations

14.

Calabrese, Raffaella & Silvia Angela Osmetti. (2019). A new approach to measure systemic risk: A bivariate copula model for dependent censored data. European Journal of Operational Research. 279(3). 1053–1064. 23 indexed citations

15.

Calabrese, Raffaella & Johan A. Elkink. (2016). Estimating Binary Spatial Autoregressive Models for Rare Events. RePEc: Research Papers in Economics. 37. 145–166. 2 indexed citations

16.

Calabrese, Raffaella, Marta Degl’Innocenti, & Silvia Angela Osmetti. (2016). The effectiveness of TARP-CPP on the US banking industry: A new copula-based approach. European Journal of Operational Research. 256(3). 1029–1037. 28 indexed citations

17.

Calabrese, Raffaella & Paolo Giudici. (2015). Estimating bank default with generalised extreme value regression models. Journal of the Operational Research Society. 66(11). 1783–1792. 47 indexed citations

18.

Calabrese, Raffaella & Paolo Giudici. (2013). Estimating bank default with generalised extreme value models. Journal of the Operational Research Society. 7 indexed citations

19.

Calabrese, Raffaella & Silvia Angela Osmetti. (2013). Modelling small and medium enterprise loan defaults as rare events: the generalized extreme value regression model. Journal of Applied Statistics. 40(6). 1172–1188. 66 indexed citations

20.

Calabrese, Raffaella. (2010). Regression for Recovery Rates with both Continuous and Discrete Characteristics. 3 indexed citations

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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