litlas
Log inCreate account

David J. C. MacKay

Active 1989–2018

Also published as
David J. C. Mackay
50
Papers
18,638
Citations
34
h-index
43
i10-index

Citations

Citations per year for David J. C. MacKay1967: 1 citations1986: 1 citations1990: 3 citations1991: 3 citations1992: 18 citations1993: 14 citations1994: 41 citations1995: 48 citations1996: 56 citations1997: 65 citations1998: 81 citations1999: 94 citations2000: 137 citations2001: 253 citations2002: 192 citations2003: 258 citations2004: 308 citations2005: 348 citations2006: 403 citations2007: 459 citations2008: 406 citations2009: 481 citations2010: 475 citations2011: 417 citations2012: 462 citations2013: 388 citations2014: 378 citations2015: 368 citations2016: 338 citations2017: 303 citations2018: 334 citations2019: 421 citations2020: 409 citations2021: 411 citations2022: 306 citations2023: 279 citations2024: 259 citations2025: 180 citations2026: 58 citations1968–1985: no citations, so these years are not shown1987–1989: no citations, so these years are not shown

Citation sources

Countries

World map of the countries and regions citing this authorUnited States: 2,771 citing papers, 25.9% of this breakdownUnited Kingdom: 1,220 citing papers, 11.4% of this breakdownChina: 1,008 citing papers, 9.4% of this breakdownGermany: 521 citing papers, 4.9% of this breakdownJapan: 503 citing papers, 4.7% of this breakdownCanada: 417 citing papers, 3.9% of this breakdownFrance: 369 citing papers, 3.4% of this breakdownAustralia: 338 citing papers, 3.1% of this breakdownItaly: 306 citing papers, 2.8% of this breakdownSpain: 232 citing papers, 2.2% of this breakdownSouth Korea: 232 citing papers, 2.2% of this breakdownSwitzerland: 206 citing papers, 1.9% of this breakdown
0%25.9%Other 24.2%

Institutions

Fields

  • Computer Science63.7%
  • Engineering14.2%
  • Neuroscience5%
  • Biochemistry, Genetics and Molecular Biology4.5%
  • Mathematics2.4%
  • Medicine2.1%
  • Other8.1%

Topics

  • Error Correcting Code Techniques9.3%
  • Advanced Wireless Communication Techniques7.5%
  • Cooperative Communication and Network Coding4.9%
  • Gaussian Processes and Bayesian Inference2.7%
  • Neural Networks and Applications2.6%
  • Machine Learning and Algorithms2.3%
  • Other70.7%

Coauthors

All papers

Open in search
  1. Bayesian Interpolation

    Authors: David J. C. MacKay - Maximum Entropy and Bayesian Methods, Neural Comput. 1992 cited by 4,377

  2. Information-Based Objective Functions for Active Data Selection

    Authors: David J. C. MacKay - Neural Computation, Neural Comput. 1992 cited by 1,250

  3. Good Error-Correcting Codes Based on Very Sparse Matrices

    Authors: David J. C. MacKay - IEEE Transactions on Information Theory, IEEE Trans. Inf. Theory 1999 cited by 3,716

  4. Sparse-graph codes for quantum error correction

    Authors: David J. C. MacKay, G. Mitchison, P. L. McFadden - IEEE Transactions on Information Theory, IEEE Trans. Inf. Theory 2004 cited by 381

  5. The Evidence Framework Applied to Classification Networks

    Authors: David J. C. MacKay - Neural Computation, Neural Comput. 1992 cited by 721

  6. Reliable communication over channels with insertions, deletions, and substitutions

    Authors: Matthew C. Davey, David J. C. MacKay - IEEE Transactions on Information Theory, IEEE Trans. Inf. Theory 2001 cited by 324

  7. The Role of Constraints in Hebbian Learning

    Authors: Kenneth D. Miller, David J. C. MacKay - Neural Computation, Neural Comput. 1994 cited by 477

  8. Low-density parity check codes over GF(q)

    Authors: Matthew C. Davey, David J. C. MacKay - Information Theory Workshop (Cat. No.98EX131), IEEE Commun. Lett. 1998 cited by 1,212

  9. Variational Gaussian process classifiers

    Authors: Mark N. Gibbs, David J. C. MacKay - IEEE Transactions on Neural Networks, IEEE Trans. Neural Networks Learn. Syst. 1997 cited by 224

  10. InformationTheory, Inference, and Learning Algorithms

    Authors: David J. C. Mackay - http://www.cs.toronto.edu/%7Emackay/itprnn/book.pdf 2003 cited by 654

  11. Turbo Decoding as an Instance of Pearl's "Belief Propagation" Algorithm

    Authors: Robert J. McEliece, David J. C. MacKay, Jung-Fu Cheng - IEEE Journal on Selected Areas in Communications, IEEE J. Sel. Areas Commun. 1998 cited by 918

  12. Dasher - a data entry interface using continuous gestures and language models

    Authors: David J. Ward, Alan F. Blackwell, David J. C. MacKay - symposium on User interface software and technology - UIST '00 2000 cited by 412

  13. Weaknesses of Margulis and Ramanujan-Margulis low-density parity-check cCodes

    Authors: David J. C. MacKay, Michael S. Postol - Electronic Notes in Theoretical Computer Science, MFCSIT 2002 cited by 349

  14. Fast Hands-free Writing by Gaze Direction

    Authors: David J. Ward, David J. C. MacKay - Nature 2002 cited by 257

  15. Elliptical slice sampling

    Authors: Iain Murray, Ryan Prescott Adams, David J. C. MacKay - AISTATS 2010 cited by 318

  16. Gaussian Process Robust Regression for Noisy Heart Rate Data

    Authors: Oliver Stegle, Sebastian V. Fallert, David J. C. MacKay, Søren Brage - IEEE Transactions on Biomedical Engineering, IEEE Trans. Biomed. Eng. 2008 cited by 219

  17. Unsupervised Classifiers, Mutual Information and 'Phantom Targets'

    Authors: John S. Bridle, Anthony J. R. Heading, David J. C. MacKay - NIPS 1991 cited by 132

  18. Choice of Basis for Laplace Approximation

    Authors: David J. C. MacKay - Machine Learning, Mach. Learn. 1998 cited by 115

  19. A hierarchical Dirichlet language model

    Authors: David J. C. MacKay, Linda C. Bauman Peto - Natural Language Engineering, Nat. Lang. Eng. 1995 cited by 276

  20. Comparison of Approximate Methods for Handling Hyperparameters

    Authors: David J. C. MacKay - Neural Computation, Neural Comput. 1999 cited by 247

  21. MCMC for Doubly-intractable Distributions

    Authors: Iain Murray, Zoubin Ghahramani, David J. C. MacKay - UAI 2006 cited by 263

  22. Tractable nonparametric Bayesian inference in Poisson processes with Gaussian process intensities

    Authors: Ryan Prescott Adams, Iain Murray, David J. C. MacKay - Conference on Machine Learning, ICML 2009 cited by 216

  23. Predicting and understanding the stability of G-quadruplexes

    Authors: Oliver Stegle, Linda Payet, Jean-Louis Mergny, David J. C. MacKay, Julian Leon Huppert - Bioinformatics, Bioinform. 2009 cited by 114

  24. Bayesian Methods for Mixtures of Experts

    Authors: Steve R. Waterhouse, David J. C. MacKay, Anthony J. Robinson - http://svr-www.eng.cam.ac.uk/~srw1001/Papers/nips95_bayes.ps.Z 1995 cited by 241