| Information theory, inference and learning algorithms DJC MacKay Cambridge university press, 2003 | 16215 | 2003 |
| Information theory and reliable communication RG Gallager Wiley, 1968 | 10743 | 1968 |
| Bayesian interpolation DJC MacKay Neural computation 4 (3), 415-447, 1992 | 6394 | 1992 |
| Good error-correcting codes based on very sparse matrices DJC MacKay IEEE transactions on Information Theory 45 (2), 399-431, 2002 | 6041 | 2002 |
| A practical Bayesian framework for backpropagation networks DJC MacKay Neural computation 4 (3), 448-472, 1992 | 4571 | 1992 |
| Near Shannon limit performance of low density parity check codes DJC MacKay, RM Neal Electronics letters 32 (18), 1645-1646, 1996 | 3876 | 1996 |
| Sustainable Energy-without the hot air DJC MacKay Bloomsbury Publishing, 2016 | 2738 | 2016 |
| Information-based objective functions for active data selection DJC MacKay Neural computation 4 (4), 590-604, 1992 | 1900 | 1992 |
| Low density parity check codes over GF (q) MC Davey, DJC MacKay 1998 Information Theory Workshop (Cat. No. 98EX131), 70-71, 1998 | 1832 | 1998 |
| Fountain codes DJC MacKay IEE Proceedings-Communications 152 (6), 1062-1068, 2005 | 1620 | 2005 |
| Near Shannon limit performance of low density parity check codes DJC MacKay, RM Neal Electronics letters 33 (6), 457-458, 1997 | 1608 | 1997 |
| Introduction to Gaussian processes DJC MacKay NATO ASI series F computer and systems sciences 168, 133-166, 1998 | 1601 | 1998 |
| Probable networks and plausible predictions-a review of practical Bayesian methods for supervised neural networks DJC MacKay Network: computation in neural systems 6 (3), 469, 1995 | 1393 | 1995 |
| Bayesian online changepoint detection RP Adams, DJC MacKay arXiv preprint arXiv:0710.3742, 2007 | 1299 | 2007 |
| Turbo decoding as an instance of Pearl's" belief propagation" algorithm RJ McEliece, DJC MacKay, JF Cheng IEEE Journal on selected areas in communications 16 (2), 140-152, 1998 | 1291 | 1998 |
| Bayesian methods for adaptive models DJC Mackay California Institute of Technology, 1992 | 1174 | 1992 |
| The evidence framework applied to classification networks DJC MacKay Neural computation 4 (5), 720-736, 1992 | 1080 | 1992 |
| Introduction to monte carlo methods DJC Mackay Learning in graphical models, 175-204, 1998 | 795 | 1998 |
| Good codes based on very sparse matrices DJC MacKay, RM Neal IMA International Conference on Cryptography and Coding, 100-111, 1995 | 750 | 1995 |
| Bayesian nonlinear modeling for the prediction competition DJC MacKay ASHRAE transactions 100 (2), 1053-1062, 1994 | 712 | 1994 |
H. K. D. H. BhadeshiaProfessor of Metallurgy, Queen Mary University of LondonVerified email at qmul.ac.uk
