| 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 | 208 | 2021 |
| Support vector regression for loss given default modelling X Yao, J Crook, G Andreeva European Journal of Operational Research 240 (2), 528-538, 2015 | 135 | 2015 |
| Dynamic prediction of financial distress using Malmquist DEA Z Li, J Crook, G Andreeva Expert systems with Applications 80, 94-106, 2017 | 129 | 2017 |
| Predicting default of a small business using different definitions of financial distress SM Lin, J Ansell, G Andreeva Journal of the Operational Research Society 63 (4), 539-548, 2012 | 103 | 2012 |
| Enhancing two-stage modelling methodology for loss given default with support vector machines X Yao, J Crook, G Andreeva European Journal of Operational Research 263 (2), 679-689, 2017 | 95 | 2017 |
| European generic scoring models using survival analysis G Andreeva Journal of the Operational research Society 57 (10), 1180-1187, 2006 | 93 | 2006 |
| Chinese companies distress prediction: an application of data envelopment analysis Z Li, J Crook, G Andreeva Journal of the Operational Research Society 65 (3), 466-479, 2014 | 79 | 2014 |
| Modelling profitability using survival combination scores G Andreeva, J Ansell, J Crook European Journal of Operational Research 183 (3), 1537-1549, 2007 | 63 | 2007 |
| A comparative analysis of the UK and Italian small businesses using Generalised Extreme Value models G Andreeva, R Calabrese, SA Osmetti European Journal of Operational Research 249 (2), 506-516, 2016 | 54 | 2016 |
| Governance and accountability of public risk G Andreeva, J Ansell, T Harrison Financial Accountability & Management 30 (3), 342-361, 2014 | 49 | 2014 |
| “Birds of a feather” fail together: exploring the nature of dependency in SME defaults R Calabrese, G Andreeva, J Ansell Risk Analysis 39 (1), 71-84, 2019 | 48 | 2019 |
| Reducing estimation risk using a Bayesian posterior distribution approach: Application to stress testing mortgage loan default Z Wang, J Crook, G Andreeva European Journal of Operational Research 287 (2), 725-738, 2020 | 23 | 2020 |
| The law of equal opportunities or unintended consequences?: The effect of unisex risk assessment in consumer credit G Andreeva, A Matuszyk Journal of the Royal Statistical Society Series A: Statistics in Society 182 …, 2019 | 23 | 2019 |
| Monetary and relative scorecards to assess profits in consumer revolving credit LJS Barrios, G Andreeva, J Ansell Journal of the Operational Research Society 65 (3), 443-453, 2014 | 23 | 2014 |
| Modelling the purchase propensity: analysis of a revolving store card G Andreeva, J Ansell, JN Crook Journal of the Operational Research Society 56 (9), 1041-1050, 2005 | 23 | 2005 |
| Machine learning approaches to forecasting cryptocurrency volatility: Considering internal and external determinants Y Wang, G Andreeva, B Martin-Barragan International Review of Financial Analysis 90, 102914, 2023 | 19 | 2023 |
| Exploring management capability in SMEs using transactional data Y Ma, J Ansell, G Andreeva Journal of the Operational Research Society 67 (1), 1-8, 2016 | 19 | 2016 |
| Exploring the performance of small-and medium-sized enterprises through the credit crunch P Orton, J Ansell, G Andreeva Journal of the Operational Research Society 66 (4), 657-663, 2015 | 17 | 2015 |
| Impact of anti-discrimination laws on credit scoring G Andreeva, J Ansell, J Crook Journal of Financial Services Marketing 9, 22-33, 2004 | 17 | 2004 |
| Credit scoring in the context of European integration: assessing the performance of the generic models G Andreeva, J Ansell, JN Crook Credit Research Centre, University of Edinburgh, 2004 | 16 | 2004 |
