Carlo Wix

659 total citations · 1 hit paper
20 papers, 373 citations indexed

About

Carlo Wix is a scholar working on Finance, Accounting and Economics and Econometrics. According to data from OpenAlex, Carlo Wix has authored 20 papers receiving a total of 373 indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Finance, 14 papers in Accounting and 9 papers in Economics and Econometrics. Recurrent topics in Carlo Wix's work include Banking stability, regulation, efficiency (14 papers), Corporate Finance and Governance (7 papers) and Financial Literacy, Pension, Retirement Analysis (6 papers). Carlo Wix is often cited by papers focused on Banking stability, regulation, efficiency (14 papers), Corporate Finance and Governance (7 papers) and Financial Literacy, Pension, Retirement Analysis (6 papers). Carlo Wix collaborates with scholars based in United States, Switzerland and Germany. Carlo Wix's co-authors include Reint Gropp, Steven Ongena, Thomas C. Mosk, Ákos Horváth, Ákos Horváth, Andrea Presbitero, Sumit Agarwal, Elizabeth Duncan, Ke Wang and Missaka Warusawitharana and has published in prestigious journals such as Review of Financial Studies, Journal of Banking & Finance and Journal of Financial and Quantitative Analysis.

In The Last Decade

Carlo Wix

19 papers receiving 350 citations

Hit Papers

Banks Response to Higher Capital Requirements: Evidence f... 2018 2026 2020 2023 2018 50 100 150 200
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.

  1. Banks Response to Higher Capital Requirements: Evidence from a Quasi-Natural Experiment
    2018 237 citations Reint Gropp, Thomas C. Mosk et al. Review of Financial Studies profile →

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Carlo Wix United States 10 301 204 177 27 21 20 373
Taylor A. Begley United States 9 230 0.8× 175 0.9× 125 0.7× 12 0.4× 13 0.6× 18 312
Xiaoling Pu United States 10 293 1.0× 142 0.7× 140 0.8× 35 1.3× 42 2.0× 37 372
Mejra Festić Slovenia 7 268 0.9× 210 1.0× 133 0.8× 58 2.1× 11 0.5× 38 343
Laura Valderrama United States 9 354 1.2× 238 1.2× 114 0.6× 57 2.1× 21 1.0× 30 434
Miao Ben Zhang United States 9 119 0.4× 179 0.9× 142 0.8× 35 1.3× 39 1.9× 21 278
Hoai-Luu Nguyen United States 3 218 0.7× 204 1.0× 152 0.9× 41 1.5× 19 0.9× 3 308
Henri Fraisse France 10 275 0.9× 207 1.0× 133 0.8× 127 4.7× 24 1.1× 16 398
Luísa Farinha Portugal 7 277 0.9× 127 0.6× 286 1.6× 20 0.7× 38 1.8× 17 360
Andrés Donangelo United States 7 149 0.5× 151 0.7× 227 1.3× 36 1.3× 68 3.2× 12 311
Dion Bongaerts Netherlands 10 506 1.7× 166 0.8× 252 1.4× 23 0.9× 33 1.6× 31 568

Countries citing papers authored by Carlo Wix

Since Specialization
Citations

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

Fields of papers citing papers by Carlo Wix

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Carlo Wix

This figure shows the co-authorship network connecting the top 25 collaborators of Carlo Wix. A scholar is included among the top collaborators of Carlo Wix 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 Carlo Wix. Carlo Wix 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
1.
Ionescu, Felicia, et al.. (2025). Estimated Quarterly Levels of Bank Lending Standards and Credit Availability. FEDS Notes. None–None.
2.
Horváth, Ákos, et al.. (2023). The COVID-19 shock and consumer credit: Evidence from credit card data. Journal of Banking & Finance. 152. 106854–106854. 14 indexed citations
3.
Presbitero, Andrea, Carlo Wix, Sumit Agarwal, & André F. Silva. (2023). Who Pays For Your Rewards? Redistribution in the Credit Card Market. Finance and Economics Discussion Series. 1–70. 2 indexed citations
4.
Wix, Carlo. (2023). The Long-Run Real Effects of Banking Crises: Firm-Level Investment Dynamics and the Role of Wage Rigidity. Finance and Economics Discussion Series. 1–62. 1 indexed citations
5.
Presbitero, Andrea, et al.. (2023). Who Pays for Your Rewards? Redistribution of the Credit Card Market. IMF Working Paper. 2023(54). 1–1. 4 indexed citations
6.
Gropp, Reint, et al.. (2023). Supranational Rules, National Discretion: Increasing Versus Inflating Regulatory Bank Capital?. Journal of Financial and Quantitative Analysis. 59(2). 830–862. 9 indexed citations
7.
Duncan, Elizabeth, et al.. (2022). COVID-19 as a stress test: Assessing the bank regulatory framework. Journal of Financial Stability. 61. 101016–101016. 9 indexed citations
8.
Agarwal, Sumit, Andrea Presbitero, André F. Silva, & Carlo Wix. (2022). Who Pays For Your Rewards? Cross-Subsidization in the Credit Card Market. SSRN Electronic Journal. 1 indexed citations
9.
Wix, Carlo, et al.. (2021). COVID-19 as a Stress Test: Assessing the Bank Regulatory Framework. Finance and Economics Discussion Series. 2021.0(24). 1–47. 5 indexed citations
10.
Horváth, Ákos, et al.. (2021). The COVID-19 Shock and Consumer Credit: Evidence from Credit Card Data. Finance and Economics Discussion Series. 2021.0(8). 1–55. 11 indexed citations
11.
Duncan, Elizabeth, et al.. (2021). COVID-19 as a Stress Test: Assessing the Bank Regulatory Framework. SSRN Electronic Journal. 13 indexed citations
12.
Horváth, Ákos, et al.. (2021). The COVID-19 Shock and Consumer Credit: Evidence from Credit Card Data. SSRN Electronic Journal. 11 indexed citations
13.
Gropp, Reint, et al.. (2020). Supranational Rules, National Discretion: Increasing Versus Inflating Regulatory Bank Capital?. SSRN Electronic Journal. 1 indexed citations
14.
Wix, Carlo, et al.. (2020). Analyzing the Community Bank Leverage Ratio. FEDS Notes. 2020.0(2516). 3 indexed citations
15.
Gropp, Reint, et al.. (2020). Supranational Rules, National Discretion: Increasing versus Inflating Regulatory Bank Capital?. SSRN Electronic Journal. 5 indexed citations
16.
Horváth, Ákos, et al.. (2020). The COVID-19 Shock and Consumer Credit: Evidence from Credit Card Data. SSRN Electronic Journal. 17 indexed citations
17.
Gropp, Reint, Thomas C. Mosk, Steven Ongena, & Carlo Wix. (2018). Banks Response to Higher Capital Requirements: Evidence from a Quasi-Natural Experiment. Review of Financial Studies. 32(1). 266–299. 237 indexed citations breakdown →
18.
19.
Gropp, Reint, Thomas C. Mosk, Steven Ongena, & Carlo Wix. (2016). Bank Response to Higher Capital Requirements: Evidence from a Quasi-Natural Experiment. SSRN Electronic Journal. 13 indexed citations
20.
Gropp, Reint, Thomas C. Mosk, Steven Ongena, & Carlo Wix. (2016). Bank Response to Higher Capital Requirements: Evidence from a Quasi-Natural Experiment. SSRN Electronic Journal. 16 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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2026