| Quantum-inspired genetic algorithms A Narayanan, M Moore Proceedings of IEEE international conference on evolutionary computation, 61-66, 1996 | 1029 | 1996 |
| Quantum artificial neural network architectures and components A Narayanan, T Menneer Information Sciences 128 (3-4), 231-255, 2000 | 214 | 2000 |
| Intelligent bioinformatics: The application of artificial intelligence techniques to bioinformatics problems E Keedwell, A Narayanan John Wiley & Sons, 2005 | 161 | 2005 |
| Quantum-inspired neural networks T Menneer, A Narayanan Tech. Rep. R329, 1995 | 132 | 1995 |
| DNA algorithms for computing shortest paths A Narayanan, S Zorbalas Proceedings of genetic programming 718, 723, 1998 | 118 | 1998 |
| Discovering gene networks with a neural-genetic hybrid E Keedwell, A Narayanan IEEE/ACM Transactions on Computational Biology and Bioinformatics 2 (3), 231-242, 2005 | 110 | 2005 |
| Quantum-inspired computing M Moore, A Narayanan Dept. Comput. Sci., Univ. Exeter, Exeter, UK, 1995 | 107 | 1995 |
| Mining viral protease data to extract cleavage knowledge A Narayanan, X Wu, ZR Yang Bioinformatics 18 (suppl_1), S5-S13, 2002 | 106 | 2002 |
| Measuring mindfulness: Applying generalizability theory to distinguish between state and trait ON Medvedev, CU Krägeloh, A Narayanan, RJ Siegert Mindfulness 8, 1036-1046, 2017 | 102 | 2017 |
| Assessing the professional performance of UK doctors: an evaluation of the utility of the General Medical Council patient and colleague questionnaires JL Campbell, SH Richards, A Dickens, M Greco, A Narayanan, S Brearley BMJ Quality & Safety 17 (3), 187-193, 2008 | 101 | 2008 |
| Artificial intelligence techniques for bioinformatics A Narayanan, EC Keedwell, B Olsson Applied bioinformatics 1, 191-222, 2002 | 99 | 2002 |
| Quantum computing for beginners A Narayanan Proceedings of the 1999 congress on evolutionary computation-CEC99 (Cat. No …, 1999 | 91 | 1999 |
| Artificial intelligence: Human effects M Yazdani, A Narayanan J. Wiley and Sons Inc., New York, NY, 1984 | 68 | 1984 |
| Single-layer artificial neural networks for gene expression analysis A Narayanan, EC Keedwell, J Gamalielsson, S Tatineni Neurocomputing 61, 217-240, 2004 | 57 | 2004 |
| Validation of a multi-source feedback tool for use in general practice J Campbell, A Narayanan, B Burford, M Greco Education for Primary Care 21 (3), 165-179, 2010 | 51 | 2010 |
| Genetic algorithms for gene expression analysis E Keedwell, A Narayanan Applications of Evolutionary Computing: EvoWorkshops 2003: EvoBIO, EvoCOP …, 2003 | 50 | 2003 |
| Hydrological cycle algorithm for continuous optimization problems A Wedyan, J Whalley, A Narayanan Journal of Optimization 2017, 2017 | 48 | 2017 |
| Resistance gene expression determines the in vitro chemosensitivity of non-small cell lung cancer (NSCLC) S Glaysher, D Yiannakis, FG Gabriel, P Johnson, ME Polak, LA Knight, ... BMC cancer 9 (1), 1-17, 2009 | 43 | 2009 |
| Creating rules from trained neural networks using genetic algorithms E Keedwell, A Narayanan, D Savic INTERNATIONAL JOURNAL OF COMPUTERS, SYSTEMING SIGNALS 1, 30-42, 2000 | 39 | 2000 |
| Modelling gene regulatory data using artificial neural networks E Keedwell, A Narayanan, D Savic Proceedings of the 2002 International Joint Conference on Neural Networks …, 2002 | 37 | 2002 |
