World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
38
Citations
13933
World Ranking
9954
National Ranking
619

Iain Murray publication distribution in Computer Science in 2026

The chart shows the distribution of publications by all Research.com ranked scientists in the field of Computer Science in 2026. The highlighted bar marks where Iain Murray sits on this spectrum.

32–41 publications: 7 scientists 42–51 publications: 22 scientists 52–61 publications: 82 scientists 62–71 publications: 134 scientists 72–81 publications: 249 scientists 82–91 publications: 324 scientists 92–101 publications: 421 scientists 102–111 publications: 420 scientists 112–121 publications: 497 scientists 122–131 publications: 544 scientists 132–141 publications: 555 scientists 142–151 publications: 609 scientists 152–161 publications: 559 scientists 162–171 publications: 534 scientists 172–181 publications: 556 scientists 182–191 publications: 583 scientists 192–201 publications: 519 scientists 202–211 publications: 508 scientists 212–221 publications: 490 scientists 222–231 publications: 437 scientists 232–241 publications: 423 scientists 242–251 publications: 408 scientists 252–261 publications: 377 scientists 262–271 publications: 301 scientists 272–281 publications: 335 scientists 282–291 publications: 320 scientists 292–301 publications: 293 scientists 302–311 publications: 250 scientists 312–321 publications: 238 scientists 322–331 publications: 206 scientists 332–341 publications: 209 scientists 342–351 publications: 208 scientists 352–361 publications: 162 scientists 362–371 publications: 176 scientists 372–381 publications: 127 scientists 382–391 publications: 158 scientists 392–401 publications: 128 scientists 402–411 publications: 104 scientists 412–421 publications: 94 scientists 422–431 publications: 99 scientists 432–441 publications: 83 scientists 442–451 publications: 108 scientists 452–461 publications: 73 scientists 462–471 publications: 77 scientists 472–481 publications: 69 scientists 482–491 publications: 84 scientists 492–501 publications: 62 scientists 502–511 publications: 54 scientists 512–521 publications: 57 scientists 522–531 publications: 51 scientists 532–541 publications: 51 scientists 542–551 publications: 32 scientists 552–561 publications: 38 scientists 562–571 publications: 28 scientists 572–581 publications: 43 scientists 582–591 publications: 33 scientists 592–601 publications: 41 scientists 602–611 publications: 32 scientists 612–621 publications: 28 scientists 622–631 publications: 25 scientists 632–641 publications: 27 scientists 642–651 publications: 17 scientists 652–661 publications: 20 scientists 662–671 publications: 17 scientists 672–681 publications: 15 scientists 682–691 publications: 14 scientists 692–701 publications: 21 scientists 702–711 publications: 13 scientists 712–721 publications: 12 scientists 722–731 publications: 19 scientists 732–741 publications: 14 scientists 742–751 publications: 12 scientists 752–761 publications: 10 scientists 762–771 publications: 10 scientists 772–781 publications: 11 scientists 782–791 publications: 10 scientists 792–801 publications: 11 scientists 802–811 publications: 8 scientists 812–821 publications: 8 scientists 822–831 publications: 7 scientists 832–841 publications: 11 scientists 842–851 publications: 10 scientists 852–861 publications: 5 scientists 862–871 publications: 9 scientists 872–881 publications: 4 scientists 882–891 publications: 6 scientists 892–901 publications: 3 scientists 902–911 publications: 6 scientists 912–921 publications: 3 scientists 922–931 publications: 2 scientists 932–941 publications: 2 scientists 942–951 publications: 2 scientists 952–961 publications: 3 scientists 962–971 publications: 3 scientists 972–981 publications: 3 scientists 982–990 publications: 5 scientists 991+ publications: 100 scientists
32 publications 991+

This scientist: 94 publications — 7th percentile

7% of scientists in this discipline score the same or lower.

The last bar groups every scientist with 991 publications or more.

Iain Murray D-index placement in Computer Science in 2026

The chart shows the D-index (discipline H-index) distribution of Computer Science scientists ranked by Research.com in 2026. The highlighted bar marks where Iain Murray sits on this spectrum.

30–31 D-Index: 879 scientists 32–33 D-Index: 983 scientists 34–35 D-Index: 918 scientists 36–37 D-Index: 990 scientists 38–39 D-Index: 968 scientists 40–41 D-Index: 907 scientists 42–43 D-Index: 821 scientists 44–45 D-Index: 763 scientists 46–47 D-Index: 689 scientists 48–49 D-Index: 543 scientists 50–51 D-Index: 543 scientists 52–53 D-Index: 518 scientists 54–55 D-Index: 500 scientists 56–57 D-Index: 458 scientists 58–59 D-Index: 400 scientists 60–61 D-Index: 337 scientists 62–63 D-Index: 308 scientists 64–65 D-Index: 292 scientists 66–67 D-Index: 249 scientists 68–69 D-Index: 213 scientists 70–71 D-Index: 192 scientists 72–73 D-Index: 189 scientists 74–75 D-Index: 165 scientists 76–77 D-Index: 139 scientists 78–79 D-Index: 119 scientists 80–81 D-Index: 121 scientists 82–83 D-Index: 113 scientists 84–85 D-Index: 88 scientists 86–87 D-Index: 87 scientists 88–89 D-Index: 75 scientists 90–91 D-Index: 69 scientists 92–93 D-Index: 57 scientists 94–95 D-Index: 46 scientists 96–97 D-Index: 38 scientists 98–99 D-Index: 34 scientists 100–101 D-Index: 36 scientists 102–103 D-Index: 27 scientists 104–105 D-Index: 37 scientists 106–107 D-Index: 18 scientists 108–109 D-Index: 31 scientists 110–111 D-Index: 19 scientists 112–113 D-Index: 16 scientists 114–115 D-Index: 12 scientists 116–117 D-Index: 20 scientists 118–119 D-Index: 15 scientists 120–121 D-Index: 5 scientists 122–123 D-Index: 20 scientists 124–125 D-Index: 8 scientists 126–127 D-Index: 5 scientists 128–129 D-Index: 7 scientists 130 D-Index: 3 scientists 131+ D-Index: 98 scientists
30 D-Index 131+

This scientist: 38 D-Index — 30th percentile

30% of scientists in this discipline score the same or lower.

The last bar groups every scientist with 131 D-Index or more.

Overview

Iain Murray is a researcher affiliated with the University of Edinburgh in the United Kingdom, specializing primarily in Computer Science. Their work notably intersects with the fields of Artificial Intelligence, Computer Vision and Pattern Recognition, Environmental Engineering, Surgery, and Statistical and Nonlinear Physics.

Their research contributions span several key topics, including:

  • Generative Adversarial Networks and Image Synthesis
  • Gaussian Processes and Bayesian Inference
  • Model Reduction and Neural Networks
  • Anomaly Detection Techniques and Applications
  • Air Quality Monitoring and Forecasting
  • Traffic Prediction and Management Techniques
  • Urban Heat Island Mitigation

Murray's publication record includes papers in varied and recognized venues. The most frequent publication venues are:

  • arXiv (Cornell University)
  • Proceedings of the AAAI Conference on Artificial Intelligence
  • European Journal of Orthopaedic Surgery & Traumatology
  • Public Money & Management
  • Zenodo (CERN European Organization for Nuclear Research)

Recent papers authored or coauthored by Murray illustrate a focus on machine learning techniques and models applied to complex data streams and inference problems. These papers include:

  • "nflows: normalizing flows in PyTorch" (2020), published in Zenodo (CERN European Organization for Nuclear Research)
  • "Maximum Likelihood Training of Score-Based Diffusion Models" (2021), published on arXiv (Cornell University)
  • "CloudLSTM: A Recurrent Neural Model for Spatiotemporal Point-cloud Stream Forecasting" (2021), published in the Proceedings of the AAAI Conference on Artificial Intelligence
  • "On Contrastive Learning for Likelihood-free Inference" (2020), published on arXiv (Cornell University)
  • "Diverse Ensembles Improve Calibration" (2020), published on arXiv (Cornell University)

The scientist collaborates frequently with other researchers, including:

  • Conor Durkan
  • Artur Bekasov
  • George Papamakarios
  • Chaoyun Zhang
  • Marco Fiore

Best Publications

  • Proceedings of The 32nd International Conference on Machine Learning

    Mathieu Germain;Karol Gregor;Iain Murray;Hugo Larochelle

  • Evaluation methods for topic models

    Hanna M. Wallach;Iain Murray;Ruslan Salakhutdinov;David Mimno

  • Masked Autoregressive Flow for Density Estimation

    George Papamakarios;Theo Pavlakou;Iain Murray

  • MADE: Masked Autoencoder for Distribution Estimation

    Mathieu Germain;Karol Gregor;Iain Murray;Hugo Larochelle

  • The Neural Autoregressive Distribution Estimator

    Hugo Larochelle;Iain Murray

  • On the quantitative analysis of deep belief networks

    Ruslan Salakhutdinov;Iain Murray

  • MCMC for doubly-intractable distributions

    Iain Murray;Zoubin Ghahramani;David J. C. MacKay

  • Elliptical slice sampling

    Iain Murray;Ryan Prescott Adams;David J.C. MacKay

  • Advances in Neural Information Processing Systems 18

    Iain Murray;David J. C. MacKay;Zoubin Ghahramani;John Skilling

  • Neural autoregressive distribution estimation

    Benigno Uria;Marc-Alexandre Côté;Karol Gregor;Iain Murray

  • Tractable nonparametric Bayesian inference in Poisson processes with Gaussian process intensities

    Ryan Prescott Adams;Iain Murray;David J. C. MacKay

  • Proceedings of the 26th Conference on Uncertainty in Artificial Intelligence (UAI 2010)

    Ryan Prescott Adams;George E. Dahl;Iain Murray

  • Slice sampling covariance hyperparameters of latent Gaussian models

    Iain Murray;Ryan P Adams

  • Fast $ε$-free Inference of Simulation Models with Bayesian Conditional Density Estimation

    George Papamakarios;Iain Murray

  • Sequential Neural Likelihood: Fast Likelihood-free Inference with Autoregressive Flows

    George Papamakarios;David C. Sterratt;Iain Murray

  • A framework for evaluating approximation methods for Gaussian process regression

    Krzysztof Chalupka;Christopher K. I. Williams;Iain Murray

  • Neural Spline Flows

    Conor Durkan;Artur Bekasov;Iain Murray;George Papamakarios

  • RNADE: The real-valued neural autoregressive density-estimator

    Benigno Uria;Iain Murray;Hugo Larochelle

  • A Deep and Tractable Density Estimator

    Benigno Uria;Iain Murray;Hugo Larochelle

  • 30th Conference on Neural Information Processing Systems (NIPS 2016)

    George Papamakarios;Iain Murray

  • Proceedings of the 13th International Conference on Artificial Intelligence and Statistics (AISTATS)

    Iain Murray;Ryan Prescott Adams;David J. C. MacKay

  • Proceedings of the 14th International Conference on Artificial Intelligence and Statistics (AISTATS)

    Hugo Larochelle;Iain Murray

  • Fast $psilon$-free Inference of Simulation Models with Bayesian Conditional Density Estimation

    George Papamakarios;Iain Murray

Frequent Co-Authors

Ryan P. Adams
Ryan P. Adams Princeton University
David J. C. MacKay
David J. C. MacKay University of Cambridge
Hugo Larochelle
Hugo Larochelle Google (United States)
Zoubin Ghahramani
Zoubin Ghahramani University of Cambridge
Steve Renals
Steve Renals University of Edinburgh
David W. Hogg
David W. Hogg Max Planck Society
George E. Dahl
George E. Dahl Google (United States)
Mark Girolami
Mark Girolami University of Cambridge
Ruslan Salakhutdinov
Ruslan Salakhutdinov Carnegie Mellon University
Jakob H. Macke
Jakob H. Macke Max Planck Institute for Intelligent Systems

If you think any of the details on this page are incorrect, let us know.

Report an issue

We appreciate your kind effort to assist us to improve this page, it would be helpful providing us with as much detail as possible in the text box below:

Related Online Degrees & Career Pathways

Studying computer science in the USA opens doors to a broad spectrum of online degrees and career possibilities. Along with traditional roles in tech, you might find your skills are valuable in evolving interdisciplinary fields.

For those interested in keeping their education flexible, pursuing a 1 year computer science degree online offers a fast-track option to advanced credentials and better job opportunities. Meanwhile, those wanting to branch out can consider options beyond computer science alone.

For example, you might explore areas such as data analysis or technology development within scientific or engineering fields. If you’re curious about environmental careers, discover what can you do with an environmental science degree for a full overview of emerging job roles.

Engineering is another growth area. Those interested in sustainability may consider an online environmental engineering degree, while those focused on design and innovation can look for the cheapest mechanical engineering degree online. These pathways highlight the diversity of degrees available online—and the range of fulfilling careers they can lead you to.

Best Scientists Citing Iain Murray

Trending Scientists

Recently Published Articles