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Computer Science
UK
2025

D-Index & Metrics

Computer Science

D-Index
74
Citations
38093
World Ranking
1450
National Ranking
756

Andrew W. Moore 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 Andrew W. Moore 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: 197 publications — 45th percentile

45% of scientists in this discipline score the same or lower.

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

Andrew W. Moore 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 Andrew W. Moore 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: 74 D-Index — 90th percentile

90% of scientists in this discipline score the same or lower.

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

Research.com Recognitions

  • 2025 - Research.com Computer Science in United Kingdom Leader Award
  • 2023 - Research.com Computer Science in United Kingdom Leader Award
  • 2022 - Research.com Computer Science in United Kingdom Leader Award

Overview

Andrew W. Moore is affiliated with Carnegie Mellon University in the United States. Their work spans multiple fields within computer science and engineering, focusing particularly on network technologies and computational systems.

The researcher's recent papers cover a variety of topics and publication venues:

  • Network traffic classification via neural networks, 2022, CL Technical Reports
  • Measuring Network Conditions in Data Centers Using the Precision Time Protocol, 2021, IEEE Transactions on Network and Service Management
  • Thoughts about Artifact Badging, 2020, ACM SIGCOMM Computer Communication Review
  • Fostering the AR illusion: a study of how people interact with a shared artifact in collocated augmented reality, 2024, Frontiers in Virtual Reality
  • Optimisation of energy usage and carbon emissions monitoring using MILP for an advanced anaerobic digester plant, 2022, Energy

Their frequent co-authors include Diana Andreea Popescu, Jifan Yang, Steven Bednarski, Alison Bullock, and Robin Harrap. Collaborative efforts appear mainly in areas related to network measurement, augmented reality, and energy optimization.

Publication venues where they have contributed multiple works are:

  • Frontiers in Virtual Reality
  • IEEE Transactions on Network and Service Management
  • ACM SIGCOMM Computer Communication Review
  • Energy
  • CL Technical Reports

The main fields of study for Andrew W. Moore include:

  • Computer Science
  • Engineering

Within these fields, the scientist's subfields of study are:

  • Electrical and Electronic Engineering
  • Computer Networks and Communications
  • Information Systems
  • Artificial Intelligence
  • Computer Vision and Pattern Recognition

Their research covers several core topics, such as:

  • Software-Defined Networks and 5G
  • Cloud Computing and Resource Management
  • Advanced Optical Network Technologies
  • Augmented Reality Applications
  • Virtual Reality Applications and Impacts
  • Spatial Cognition and Navigation
  • Scientific Computing and Data Management

Best Publications

  • Reinforcement learning: a survey

    Leslie Pack Kaelbling;Michael L. Littman;Andrew W. Moore

  • X-means: Extending K-means with Efficient Estimation of the Number of Clusters

    Dan Pelleg;Andrew W. Moore

  • Locally Weighted Learning

    Christopher G. Atkeson;Andrew W. Moore;Stefan Schaal

  • Proceedings of the 23rd international conference on Machine learning

    William Cohen;Andrew Moore

  • Prioritized Sweeping: Reinforcement Learning with Less Data and Less Time

    Andrew W. Moore;Christopher G. Atkeson

  • Generalization in Reinforcement Learning: Safely Approximating the Value Function

    Justin A. Boyan;Andrew W. Moore

  • Locally weighted learning for control

    Christopher G. Atkeson;Andrew W. Moore;Stefan Schaal

  • Prioritized sweeping: Reinforcement learning with less data and less time

    Unknown

  • An Investigation of Practical Approximate Nearest Neighbor Algorithms

    Ting Liu;Andrew W. Moore;Ke Yang;Alexander G. Gray

  • Accelerating exact k-means algorithms with geometric reasoning

    Dan Pelleg;Andrew Moore

  • Dynamic social network analysis using latent space models

    Purnamrita Sarkar;Andrew W. Moore

  • Efficient memory-based learning for robot control

    Andrew William Moore

  • Variable Resolution Discretization in Optimal Control

    Rémi Munos;Andrew Moore

  • Hoeffding Races: Accelerating Model Selection Search for Classification and Function Approximation

    Oded Maron;Andrew W. Moore

  • The Parti-Game Algorithm for Variable Resolution Reinforcement Learning in Multidimensional State-Spaces

    Andrew W. Moore

  • Efficient algorithms for minimizing cross validation error

    Andrew W. Moore;Mary S. Lee

  • Gradient Descent for General Reinforcement Learning

    Leemon C. Baird;Andrew W. Moore

  • `N-Body' Problems in Statistical Learning

    Alexander G. Gray;Andrew W. Moore

  • Cached sufficient statistics for efficient machine learning with large datasets

    Andrew Moore;Mary Soon Lee

  • The racing algorithm: model selection for lazy learners

    Oden Maron;Andrew W. Moore

  • Algorithms for rapid outbreak detection: a research synthesis

    David L. Buckeridge;Howard Burkom;Murray Campbell;William R. Hogan

Frequent Co-Authors

Jeff Schneider
Jeff Schneider Carnegie Mellon University
Robert C. Nichol
Robert C. Nichol University of Surrey
Alexander G. Gray
Alexander G. Gray Georgia Institute of Technology
Larry Wasserman
Larry Wasserman Carnegie Mellon University
Paul Rayson
Paul Rayson Lancaster University
Michael Wagner
Michael Wagner TU Dresden
Weng-Keen Wong
Weng-Keen Wong Oregon State University
Alexander S. Szalay
Alexander S. Szalay Johns Hopkins University
Christopher G. Atkeson
Christopher G. Atkeson Carnegie Mellon University
Gregory F. Cooper
Gregory F. Cooper University of Pittsburgh

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