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OpenAlex Citation Counts

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OpenAlex is a bibliographic catalogue of scientific papers, authors and institutions accessible in open access mode, named after the Library of Alexandria. It's citation coverage is excellent and I hope you will find utility in this listing of citing articles!

If you click the article title, you'll navigate to the article, as listed in CrossRef. If you click the Open Access links, you'll navigate to the "best Open Access location". Clicking the citation count will open this listing for that article. Lastly at the bottom of the page, you'll find basic pagination options.

Requested Article:

Predicting distress in European banks
Frank Betz, Silviu Opricǎ, Tuomas A. Peltonen, et al.
Journal of Banking & Finance (2013) Vol. 45, pp. 225-241
Open Access | Times Cited: 245

Showing 1-25 of 245 citing articles:

Predicting failure in the U.S. banking sector: An extreme gradient boosting approach
Pedro Carmona, Francisco Climent, Alexandre Momparler
International Review of Economics & Finance (2018) Vol. 61, pp. 304-323
Closed Access | Times Cited: 239
Business models and bank performance: A long-term perspective
Frederik Mergaerts, Rudi Vander Vennet
Journal of Financial Stability (2015) Vol. 22, pp. 57-75
Closed Access | Times Cited: 181
Capital and liquidity ratios and financial distress. Evidence from the European banking industry
Laura Chiaramonte, Barbara Casu
The British Accounting Review (2016) Vol. 49, Iss. 2, pp. 138-161
Open Access | Times Cited: 181
Identifying excessive credit growth and leverage
Lucia Alessi, Carsten Detken
Journal of Financial Stability (2017) Vol. 35, pp. 215-225
Open Access | Times Cited: 178
How good is green finance for green innovation? Evidence from the Chinese high-carbon sector
Lina Ma, Najaf Iqbal, Elie Bouri, et al.
Resources Policy (2023) Vol. 85, pp. 104047-104047
Closed Access | Times Cited: 45
Systemic risk spillovers in the European banking and sovereign network
Frank Betz, Nikolaus Hautsch, Tuomas A. Peltonen, et al.
Journal of Financial Stability (2015) Vol. 25, pp. 206-224
Open Access | Times Cited: 132
Anticipating bank distress in the Eurozone: An Extreme Gradient Boosting approach
Francisco Climent, Alexandre Momparler, Pedro Carmona
Journal of Business Research (2018) Vol. 101, pp. 885-896
Closed Access | Times Cited: 129
Should we trust the Z-score? Evidence from the European Banking Industry
Laura Chiaramonte, Ettore Croci, Federica Poli
Global Finance Journal (2015) Vol. 28, pp. 111-131
Closed Access | Times Cited: 111
Predicting bank insolvencies using machine learning techniques
Αναστάσιος Πετρόπουλος, Vasileios Siakoulis, Evangelos Stavroulakis, et al.
International Journal of Forecasting (2020) Vol. 36, Iss. 3, pp. 1092-1113
Closed Access | Times Cited: 107
Bank failure prediction models: Review and outlook
Alberto Citterio
Socio-Economic Planning Sciences (2024) Vol. 92, pp. 101818-101818
Open Access | Times Cited: 11
Predicting efficiency in Malaysian Islamic banks: A two-stage TOPSIS and neural networks approach
Peter Wänke, Md. Abul Kalam Azad, Carlos Pestana Barros
Research in International Business and Finance (2015) Vol. 36, pp. 485-498
Closed Access | Times Cited: 90
Financial distress and the Malaysian dual baking system: A dynamic slacks approach
Peter Wänke, Md. Abul Kalam Azad, Carlos Pestana Barros
Journal of Banking & Finance (2016) Vol. 66, pp. 1-18
Closed Access | Times Cited: 82
How Accurately Can Z‐score Predict Bank Failure?
Laura Chiaramonte, Hong Liu, Federica Poli, et al.
Financial Markets Institutions and Instruments (2016) Vol. 25, Iss. 5, pp. 333-360
Open Access | Times Cited: 74
Predicting performance in ASEAN banks: an integrated fuzzy MCDM–neural network approach
Peter Wänke, Md. Abul Kalam Azad, Carlos Pestana Barros, et al.
Expert Systems (2015) Vol. 33, Iss. 3, pp. 213-229
Closed Access | Times Cited: 70
An efficient and functional model for predicting bank distress: In and out of sample evidence
Sean Cleary, Greg Hebb
Journal of Banking & Finance (2015) Vol. 64, pp. 101-111
Closed Access | Times Cited: 67
Bank distress in the news: Describing events through deep learning
Samuel Rönnqvist, Peter Sarlin
Neurocomputing (2017) Vol. 264, pp. 57-70
Open Access | Times Cited: 66
A Global Model for Bankruptcy Prediction
David Alaminos, Agustín Castillo, Manuel Ángel Fernández
PLoS ONE (2016) Vol. 11, Iss. 11, pp. e0166693-e0166693
Open Access | Times Cited: 66
An ordinal classification framework for bank failure prediction: Methodology and empirical evidence for US banks
Georgios Manthoulis, Michael Doumpos, Constantin Zopounidis, et al.
European Journal of Operational Research (2019) Vol. 282, Iss. 2, pp. 786-801
Closed Access | Times Cited: 58
The leverage ratio, risk-taking and bank stability
Jonathan Acosta‐Smith, Michael Grill, Jan Hannes Lang
Journal of Financial Stability (2020) Vol. 74, pp. 100833-100833
Open Access | Times Cited: 50
Mergers and acquisitions in the financial industry: A bibliometric review and future research directions
Laura Chiaramonte, Alberto Dreassi, Stefano Piserà, et al.
Research in International Business and Finance (2022) Vol. 64, pp. 101837-101837
Closed Access | Times Cited: 32
A macroprudential approach to address liquidity risk with the loan-to-deposit ratio
Jan Willem van den End
European Journal of Finance (2014) Vol. 22, Iss. 3, pp. 237-253
Open Access | Times Cited: 64
Leading indicators of systemic banking crises: Finland in a panel of EU countries
Patrizio Lainà, Juho Nyholm, Peter Sarlin
Review of Financial Economics (2015) Vol. 24, Iss. 1, pp. 18-35
Open Access | Times Cited: 58
Network linkages to predict bank distress
Andreea Constantin, Tuomas A. Peltonen, Peter Sarlin
Journal of Financial Stability (2016) Vol. 35, pp. 226-241
Open Access | Times Cited: 54
Mandatory disclosure tone and bank risk-taking: Evidence from Europe
Belinda Laura Del Gaudio, Amith Vikram Megaravalli, Gabriele Sampagnaro, et al.
Economics Letters (2019) Vol. 186, pp. 108531-108531
Closed Access | Times Cited: 50
Financial distress prediction model: The effects of corporate governance indicators
Chih‐Chun Chen, Chun‐Da Chen, Donald Lien
Journal of Forecasting (2020) Vol. 39, Iss. 8, pp. 1238-1252
Closed Access | Times Cited: 48
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