David Mackay
Impact in
- Computer Networks and Communications top 0.05%
- Error Correcting Code Techniques
- Cooperative Communication and Network Coding
- Artificial Intelligence top 0.05%
- Neural Networks and Applications
- Gaussian Processes and Bayesian Inference
- Coding theory and cryptography
- Machine Learning and Algorithms
Papers in
-
- Neural Networks and Applications 17
- Gaussian Processes and Bayesian Inference 12
- Machine Learning and Algorithms 10
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- Error Correcting Code Techniques 19
- Cooperative Communication and Network Coding 9
- Co-authors
- Radford M. Neal (2 shared papers)M.C. Davey (6 shared papers)David J. Ward (4 shared papers)Kenneth D. Miller (3 shared papers)Robert J. McEliece (1 shared paper)Jung-Fu Cheng (1 shared paper)H. K. D. H. Bhadeshia (19 shared papers)Brendan J. Frey (2 shared papers)
- Journals
- Neural Computation (8 papers)Materials Science and Technology (7 papers)Science and Technology of Welding & Joining (6 papers)Network Computation in Neural Systems (5 papers)ISIJ International (4 papers)
- Partner nations
- United KingdomUnited StatesCanada
In The Last Decade
David Mackay
151 papers receiving 19.1k citations
David Mackay's Hit Papers
Peers
Comparison fields: 5 of 216
- Computer Networks and Communications 8.0k
- Artificial Intelligence 6.0k
- Electrical and Electronic Engineering 7.9k
- Signal Processing 1.0k
- Human-Computer Interaction 491
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 159 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Bayesian Interpolation Hit paper breakdown → | 1992 | 3253 |
| 2 | Good error-correcting codes based on very sparse matrices Hit paper breakdown → | 1999 | 2450 |
| 3 | A Practical Bayesian Framework for Backpropagation Networks Hit paper breakdown → | 1992 | 1887 |
| 4 | Near Shannon limit performance of low density paritycheck codes Hit paper breakdown → | 1997 | 1772 |
| 5 | Near Shannon limit performance of low density paritycheck codes Hit paper breakdown → | 1996 | 1313 |
| 6 | Information-Based Objective Functions for Active Data Selection Hit paper breakdown → | 1992 | 813 |
| 7 | Low-density parity check codes over GF(q) Hit paper breakdown → | 1998 | 795 |
| 8 | Fountain codes Hit paper breakdown → | 2005 | 668 |
| 9 | Probable networks and plausible predictions — a review of practical Bayesian methods for supervised neural networks Hit paper breakdown → | 1995 | 579 |
| 10 | Turbo decoding as an instance of Pearl's "belief propagation" algorithm Hit paper breakdown → | 1998 | 568 |
| 11 | The Evidence Framework Applied to Classification Networks Hit paper breakdown → | 1992 | 512 |
| 12 | 1994 | 311 | |
| 13 | 1995 | 237 | |
| 14 | 2001 | 230 | |
| 15 | 2003 | 215 | |
| 16 | 2004 | 212 | |
| 17 | A Revolution: Belief Propagation in Graphs with Cycles | 1997 | 210 |
| 18 | 1995 | 191 | |
| 19 | 2000 | 191 | |
| 20 | 1999 | 168 |
About David Mackay
David Mackay is a scholar working on Artificial Intelligence, Computer Networks and Communications, Mechanical Engineering, Electrical and Electronic Engineering and Strategy and Management, having authored 159 papers that have together received 20.6k indexed citations. Recurring topics across this work include Error Correcting Code Techniques (19 papers), Neural Networks and Applications (17 papers), Innovation and Knowledge Management (13 papers), Gaussian Processes and Bayesian Inference (12 papers), Advanced Wireless Communication Techniques (12 papers), Machine Learning and Algorithms (10 papers), Microstructure and Mechanical Properties of Steels (10 papers) and Cooperative Communication and Network Coding (9 papers). The work is most often cited by research in Computer Networks and Communications (8.0k citations), Artificial Intelligence (6.0k citations), Electrical and Electronic Engineering (7.9k citations), Signal Processing (1.0k citations) and Human-Computer Interaction (491 citations). David Mackay has collaborated with scholars based in United Kingdom, United States and Canada. Frequent co-authors include Radford M. Neal, M.C. Davey, David J. Ward, Kenneth D. Miller, Robert J. McEliece, Jung-Fu Cheng, H. K. D. H. Bhadeshia, Brendan J. Frey, Iain Murray and Graeme Mitchison. Their work appears in journals such as Neural Computation, Materials Science and Technology, Science and Technology of Welding & Joining, Network Computation in Neural Systems and ISIJ International.
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.