David Mackay
Impact in
- Computer Networks and Communications top 0.05%
- Error Correcting Code Techniques
- Artificial Intelligence top 0.1%
- Neural Networks and Applications
- Gaussian Processes and Bayesian Inference
- Coding theory and cryptography
- Bayesian Modeling and Causal Inference
- Machine Learning and Algorithms
Papers in
-
- Gaussian Processes and Bayesian Inference 25
- Neural Networks and Applications 21
- Bayesian Modeling and Causal Inference 12
-
- Error Correcting Code Techniques 25
- Co-authors
- Radford M. Neal (3 shared papers)Matthew C. Davey (8 shared papers)Iain Murray (7 shared papers)Zoubin Ghahramani (4 shared papers)John Skilling (2 shared papers)Kenneth D. Miller (3 shared papers)David J. Ward (3 shared papers)Robert J. McEliece (2 shared papers)
- Journals
- Neural Computation (8 papers)Science and Technology of Welding & Joining (5 papers)Materials Science and Technology (5 papers)ISIJ International (4 papers)IEEE Transactions on Information Theory (4 papers)
- Partner nations
- United KingdomUnited StatesCanada
In The Last Decade
David Mackay
165 papers receiving 24.5k citations
David Mackay's Hit Papers
Peers
Comparison fields: 5 of 212
- Computer Networks and Communications 8.2k
- Artificial Intelligence 6.6k
- Computational Mathematics 61
- Statistics and Probability 868
- Computer Vision and Pattern Recognition 1.6k
Countries citing papers authored by David Mackay
This map shows the geographic impact of David Mackay's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by David Mackay with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites David Mackay more than expected).
Fields of papers citing papers by David Mackay
This network shows the impact of papers produced by David Mackay. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by David Mackay. The network helps show where David Mackay may publish in the future.
Co-authors
The 25 scholars most cited alongside David Mackay, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 179 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Bayesian Interpolation Hit paper breakdown → | 1992 | 3581 |
| 2 | Good error-correcting codes based on very sparse matrices Hit paper breakdown → | 1999 | 2590 |
| 3 | A Practical Bayesian Framework for Backpropagation Networks Hit paper breakdown → | 1992 | 2196 |
| 4 | Near Shannon limit performance of low density paritycheck codes Hit paper breakdown → | 1997 | 1891 |
| 5 | Advances in Neural Information Processing Systems 18 Hit paper breakdown → | 2006 | 1674 |
| 6 | Near Shannon limit performance of low density paritycheck codes Hit paper breakdown → | 1996 | 1436 |
| 7 | Information-Based Objective Functions for Active Data Selection Hit paper breakdown → | 1992 | 905 |
| 8 | Low-density parity check codes over GF(q) Hit paper breakdown → | 1998 | 885 |
| 9 | Fountain codes Hit paper breakdown → | 2005 | 727 |
| 10 | Probable networks and plausible predictions — a review of practical Bayesian methods for supervised neural networks Hit paper breakdown → | 1995 | 685 |
| 11 | Turbo decoding as an instance of Pearl's "belief propagation" algorithm Hit paper breakdown → | 1998 | 616 |
| 12 | 1992 | 581 | |
| 13 | 1992 | 439 | |
| 14 | 1998 | 385 | |
| 15 | 1994 | 341 | |
| 16 | 1995 | 299 | |
| 17 | 2004 | 266 | |
| 18 | 2001 | 252 | |
| 19 | 2000 | 248 | |
| 20 | 2001 | 246 |
About David Mackay
David Mackay is a scholar working on Artificial Intelligence, Computer Networks and Communications, Human-Computer Interaction, Strategy and Management and Statistics and Probability, having authored 179 papers that have together received 26.2k indexed citations. Recurring topics across this work include Gaussian Processes and Bayesian Inference (25 papers), Error Correcting Code Techniques (25 papers), Neural Networks and Applications (21 papers), Bayesian Modeling and Causal Inference (12 papers), Gaze Tracking and Assistive Technology (11 papers), Machine Learning in Materials Science (8 papers), Markov Chains and Monte Carlo Methods (8 papers) and Innovation and Knowledge Management (7 papers). The work is most often cited by research in Computer Networks and Communications (8.2k citations), Artificial Intelligence (6.6k citations), Computational Mathematics (61 citations), Statistics and Probability (868 citations) and Computer Vision and Pattern Recognition (1.6k citations). David Mackay has collaborated with scholars based in United Kingdom, United States and Canada. Frequent co-authors include Radford M. Neal, Matthew C. Davey, Iain Murray, Zoubin Ghahramani, John Skilling, Kenneth D. Miller, David J. Ward, Robert J. McEliece, Jung-Fu Thomas Cheng and H. K. D. H. Bhadeshia. Their work appears in journals such as Neural Computation, Science and Technology of Welding & Joining, Materials Science and Technology, ISIJ International and IEEE Transactions on Information Theory.
Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.