| Credit scoring and its applications L Thomas, J Crook, D Edelman Society for industrial and Applied Mathematics, 2017 | 1465 | 2017 |
| A comparison of neural networks and linear scoring models in the credit union environment VS Desai, JN Crook, GA Overstreet Jr European journal of operational research 95 (1), 24-37, 1996 | 809 | 1996 |
| Recent developments in consumer credit risk assessment JN Crook, DB Edelman, LC Thomas European Journal of Operational Research 183 (3), 1447-1465, 2007 | 648 | 2007 |
| Support vector machines for credit scoring and discovery of significant features T Bellotti, J Crook Expert systems with applications 36 (2), 3302-3308, 2009 | 448 | 2009 |
| Credit scoring with macroeconomic variables using survival analysis T Bellotti, J Crook Journal of the Operational Research Society 60 (12), 1699-1707, 2009 | 352 | 2009 |
| Credit-scoring models in the credit-union environment using neural networks and genetic algorithms VS Desai, DG Conway, JN Crook, GA Overstreet Jr IMA Journal of Management Mathematics 8 (4), 323-346, 1997 | 273 | 1997 |
| Not if but when will borrowers default J Banasik, JN Crook, LC Thomas Journal of the Operational Research Society 50 (12), 1185-1190, 1999 | 260 | 1999 |
| The demand for household debt in the USA: evidence from the 1995 Survey of Consumer Finance J Crook Applied Financial Economics 11 (1), 83-91, 2001 | 230 | 2001 |
| Credit scoring using neural and evolutionary techniques MB Yobas, JN Crook, P Ross IMA Journal of Management Mathematics 11 (2), 111-125, 2000 | 230* | 2000 |
| Loss given default models incorporating macroeconomic variables for credit cards T Bellotti, J Crook International Journal of Forecasting 28 (1), 171-182, 2012 | 220 | 2012 |
| Does reject inference really improve the performance of application scoring models? J Crook, J Banasik Journal of Banking & Finance 28 (4), 857-874, 2004 | 192 | 2004 |
| Sample selection bias in credit scoring models J Banasik, J Crook, L Thomas Journal of the Operational Research Society 54 (8), 822-832, 2003 | 181 | 2003 |
| Predicting the risk of financial distress using corporate governance measures Z Li, J Crook, G Andreeva, Y Tang Pacific-Basin Finance Journal 68, 101334, 2021 | 159 | 2021 |
| Methods for credit scoring applied to slow payers M Boyle, JN Crook, R Hamilton, LC Thomas University of Edinburgh Department of Business Studies, 1989 | 147 | 1989 |
| Forecasting and stress testing credit card default using dynamic models T Bellotti, J Crook International Journal of Forecasting 29 (4), 563-574, 2013 | 145 | 2013 |
| Firm‐level determinants of export intensity BB Schlegelmilch, JN Crook Managerial and Decision Economics 9 (4), 291-300, 1988 | 145 | 1988 |
| Support vector regression for loss given default modelling X Yao, J Crook, G Andreeva European Journal of Operational Research 240 (2), 528-538, 2015 | 127 | 2015 |
| Dynamic prediction of financial distress using Malmquist DEA Z Li, J Crook, G Andreeva Expert Systems with Applications 80, 94-106, 2017 | 126 | 2017 |
| Enhancing credit scoring with alternative data VB Djeundje, J Crook, R Calabrese, M Hamid Expert Systems with Applications 163, 113766, 2021 | 111 | 2021 |
| Reject inference, augmentation, and sample selection J Banasik, J Crook European Journal of Operational Research 183 (3), 1582-1594, 2007 | 101 | 2007 |
