| Big data techniques in auditing research and practice: Current trends and future opportunities A Gepp, MK Linnenluecke, TJ O’neill, T Smith Journal of Accounting Literature 40, 102-115, 2018 | 542 | 2018 |
| Business failure prediction using decision trees A Gepp, K Kumar, S Bhattacharya Journal of forecasting 29 (6), 536-555, 2010 | 233 | 2010 |
| Predicting financial distress: A comparison of survival analysis and decision tree techniques A Gepp, K Kumar Procedia Computer Science 54, 396-404, 2015 | 182 | 2015 |
| The role of survival analysis in financial distress prediction A Gepp, K Kumar International research journal of finance and economics 16 (16), 13-34, 2008 | 171 | 2008 |
| A review of money laundering literature: the state of research in key areas M Tiwari, A Gepp, K Kumar Pacific Accounting Review 32 (2), 271-303, 2020 | 126 | 2020 |
| Financial literacy amongst elderly Australians R Xue, A Gepp, TJ O'Neill, S Stern, BJ Vanstone Accounting & Finance 59, 887-918, 2019 | 105 | 2019 |
| The future of raising finance-a new opportunity to commit fraud: a review of initial coin offering (ICOs) scams M Tiwari, A Gepp, K Kumar Crime, Law and Social Change 73, 417-441, 2020 | 76 | 2020 |
| Financial well‐being amongst elderly Australians: The role of consumption patterns and financial literacy R Xue, A Gepp, TJ O'Neill, S Stern, BJ Vanstone Accounting & Finance 60 (4), 4361-4386, 2020 | 66 | 2020 |
| Financial distress prediction of Islamic banks using tree-based stochastic techniques K Halteh, K Kumar, A Gepp Managerial Finance 44 (6), 759-773, 2018 | 66 | 2018 |
| Predicting FTSE 100 returns and volatility using sentiment analysis M Johnman, BJ Vanstone, A Gepp Accounting & Finance 58, 253-274, 2018 | 58 | 2018 |
| A review of procedures to evolve quantum algorithms A Gepp, P Stocks Genetic programming and evolvable machines 10, 181-228, 2009 | 52 | 2009 |
| A comparative analysis of decision trees vis-a-vis other computational data mining techniques in automotive insurance fraud detection A Gepp, JH Wilson, K Kumar, S Bhattacharya Journal of data science 10 (3), 537-561, 2012 | 46 | 2012 |
| Business failure prediction using statistical techniques: A review A Gepp, K Kumar Some recent developments in statistical theory and applications 1, 1-25, 2012 | 46 | 2012 |
| Do news and sentiment play a role in stock price prediction? BJ Vanstone, A Gepp, G Harris Applied Intelligence 49 (11), 3815-3820, 2019 | 43 | 2019 |
| The role of data analytics within operational risk management: A systematic review from the financial services and energy sectors N Cornwell, C Bilson, A Gepp, S Stern, BJ Vanstone Journal of the Operational Research Society 74 (1), 374-402, 2023 | 40 | 2023 |
| Lifting the numbers game: identifying key input variables and a best‐performing model to detect financial statement fraud A Gepp, K Kumar, S Bhattacharya Accounting & Finance 61 (3), 4601-4638, 2021 | 40 | 2021 |
| Credit rating forecasting using machine learning techniques M Wallis, K Kumar, A Gepp Managerial perspectives on intelligent big data analytics, 180-198, 2019 | 37 | 2019 |
| Financial literacy and financial strategies: The mediating role of financial concerns R Xue, A Gepp, TJ O’Neill, S Stern, BJ Vanstone Australian Journal of Management 46 (3), 437-465, 2021 | 29 | 2021 |
| Using cutting-edge tree-based stochastic models to predict credit risk K Halteh, K Kumar, A Gepp Risks 6 (2), 55, 2018 | 25 | 2018 |
| Factors influencing the choice of technique to launder funds: The APPT framework M Tiwari, J Ferrill, A Gepp, K Kumar Journal of Economic Criminology 1, 100006, 2023 | 23 | 2023 |