A study of determinants of intellectual capital performance in banks: the UK case M El‐Bannany Journal of intellectual capital 9 (3), 487-498, 2008 | 369 | 2008 |
Cryptocurrency price prediction using traditional statistical and machine‐learning techniques: A survey AM Khedr, I Arif, M El‐Bannany, SM Alhashmi, M Sreedharan Intelligent Systems in Accounting, Finance and Management 28 (1), 3-34, 2021 | 177 | 2021 |
Investment in information technology systems and other determinants of bank profitability in the UK K Holden, M El-Bannany Applied Financial Economics 14 (5), 361-365, 2004 | 142 | 2004 |
Global financial crisis and the intellectual capital performance of UAE banks M El‐Bannany Journal of Human Resource Costing & Accounting 16 (1), 20-36, 2012 | 89 | 2012 |
A study of determinants of social disclosure level in UK banks M El-Bannany Ukrainian Academy of Banking of the National Bank of Ukraine, 2007 | 52 | 2007 |
A powerful predicting model for financial statement fraud based on optimized XGBoost ensemble learning technique AA Ali, AM Khedr, M El-Bannany, S Kanakkayil Applied Sciences 13 (4), 2272, 2023 | 38 | 2023 |
A multi-layer perceptron approach to financial distress prediction with genetic algorithm M Sreedharan, AM Khedr, M El Bannany Automatic Control and Computer Sciences 54, 475-482, 2020 | 30 | 2020 |
Economic downturns and working capital management practices: A qualitative enquiry S Simon, N Sawandi, S Kumar, M El-Bannany Qualitative Research in Financial Markets 13 (4), 529-547, 2021 | 27 | 2021 |
Investment in information technology systems and other determinants of bank performance in the UK and Egypt MA El-Bannany Liverpool John Moores University, 2002 | 25 | 2002 |
Factors influencing accounting conservatism in banks: the UAE case M El-Bannany Journal of governance & regulation, 14-21, 2017 | 23 | 2017 |
A model to explain intellectual capital disclosure in UAE banks M El-Bannany International Journal of Learning and Intellectual Capital 10 (1), 35-51, 2013 | 23 | 2013 |
A robust deep learning model for financial distress prediction M El-Bannany, M Sreedharan, AM Khedr International Journal of Advanced Computer Science and Applications 11 (2), 2020 | 21 | 2020 |
Factors affecting audit report lag in banks: the Egyptian case M El-Bannany Corporate Ownership & Control 5 (3), 54-61, 2008 | 21 | 2008 |
Using a hybrid-classification method to analyze Twitter data during critical events SM Alhashmi, AM Khedr, I Arif, M El Bannany IEEE Access 9, 141023-141035, 2021 | 18 | 2021 |
A Comprehensive measurement for sustainability reporting quality: Principles-based approach P Permatasari, J Gunawan, M El-Bannany Indonesian Journal of Sustainability Accounting and Management 4 (2), 249â …, 2020 | 18 | 2020 |
GALSTM-FDP: A time-series modeling approach using hybrid GA and LSTM for financial distress prediction A Al Ali, AM Khedr, M El Bannany, S Kanakkayil International Journal of Financial Studies 11 (1), 38, 2023 | 16 | 2023 |
Explanatory study about the intellectual capital performance of banks in Egypt M El-Bannany International Journal of Learning and Intellectual Capital 12 (3), 270-286, 2015 | 16 | 2015 |
Earnings quality and other factors affecting intellectual capital performance in banks: the UAE case M El-Bannany Proceedings of the European Conference on Intellectual Capita, 136, 2011 | 14 | 2011 |
A comparative analysis of machine learning classifiers and ensemble techniques in financial distress prediction M Sreedharan, AM Khedr, M El Bannany 2020 17th International Multi-Conference on Systems, Signals & Devices (SSD …, 2020 | 12 | 2020 |
Prediction of financial statement fraud using machine learning techniques in UAE M El-Bannany, AH Dehghan, AM Khedr 2021 18th International Multi-Conference on Systems, Signals & Devices (SSD …, 2021 | 11 | 2021 |