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Computer Science
UK
2025

D-Index & Metrics

Computer Science

D-Index
74
Citations
27571
World Ranking
1467
National Ranking
84

Paul Newman 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 Paul Newman 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: 293 publications — 72nd percentile

72% of scientists in this discipline score the same or lower.

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

Paul Newman 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 Paul Newman 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

Paul Newman is affiliated with the University of Oxford in the United Kingdom. Their research spans multiple domains within computer science and engineering, with a notable emphasis on robotics and sensor-based localization.

Their recent publications include the following works:

  • Real-time Kinematic Ground Truth for the Oxford RobotCar Dataset, 2020, published in arXiv (Cornell University)
  • Listening for Sirens: Locating and Classifying Acoustic Alarms in City Scenes, 2022, published in IEEE Transactions on Intelligent Transportation Systems
  • kRadar++: Coarse-to-Fine FMCW Scanning Radar Localisation, 2020, published in Sensors
  • Self-supervised learning for using overhead imagery as maps in outdoor range sensor localization, 2021, published in The International Journal of Robotics Research
  • Fast-MbyM: Leveraging Translational Invariance of the Fourier Transform for Efficient and Accurate Radar Odometry, 2022, published in 2022 International Conference on Robotics and Automation (ICRA)

Frequent co-authors collaborating with Paul Newman include:

  • Matthew Gadd
  • Daniele De Martini
  • Luke Robinson
  • Valentina Muşat
  • Letizia Marchegiani

Paul Newman publishes regularly in several venues, including:

  • arXiv (Cornell University)
  • IEEE Transactions on Intelligent Transportation Systems
  • The International Journal of Robotics Research
  • 2022 International Conference on Robotics and Automation (ICRA)
  • IEEE Robotics and Automation Letters

The primary fields of study associated with Paul Newman's work are:

  • Computer Science
  • Engineering

More specific subfields they contribute to include:

  • Computer Vision and Pattern Recognition
  • Aerospace Engineering
  • Electrical and Electronic Engineering
  • Environmental Engineering
  • Artificial Intelligence

The main research topics addressed by their publications are:

  • Robotics and Sensor-Based Localization
  • Advanced Vision and Imaging
  • Indoor and Outdoor Localization Technologies
  • Advanced Image and Video Retrieval Techniques
  • Remote Sensing and LiDAR Applications
  • 3D Surveying and Cultural Heritage
  • Advanced Neural Network Applications

Best Publications

  • A solution to the simultaneous localization and map building (SLAM) problem

    M.W.M.G. Dissanayake;P. Newman;S. Clark;H.F. Durrant-Whyte

  • FAB-MAP: Probabilistic Localization and Mapping in the Space of Appearance

    Mark Cummins;Paul Newman

  • 1 year, 1000 km: The Oxford RobotCar dataset:

    Will Maddern;Geoffrey Pascoe;Chris Linegar;Paul Newman

  • Visual Place Recognition: A Survey

    Stephanie Lowry;Niko Sunderhauf;Paul Newman;John J. Leonard

  • Robust Mapping and Localization in Indoor Environments Using Sonar Data

    Juan D. Tardós;José Neira;Paul M. Newman;John J. Leonard

  • Appearance-only SLAM at large scale with FAB-MAP 2.0

    Mark Cummins;Paul Newman

  • An Atlas framework for scalable mapping

    M. Bosse;P. Newman;J. Leonard;M. Soika

  • Simultaneous Localization and Map Building in Large-Scale Cyclic Environments Using the Atlas Framework

    Michael Bosse;Paul M. Newman;John J. Leonard;Seth J. Teller

  • Using laser range data for 3D SLAM in outdoor environments

    D.M. Cole;P.M. Newman

  • Outdoor SLAM using visual appearance and laser ranging

    P. Newman;D. Cole;K. Ho

  • The Oxford Radar RobotCar Dataset: A Radar Extension to the Oxford RobotCar Dataset

    Dan Barnes;Matthew Gadd;Paul Murcutt;Paul Newman

  • Highly scalable appearance-only SLAM - FAB-MAP 2.0

    Mark Cummins;Paul Newman

  • The New College Vision and Laser Data Set

    Mike Smith;Ian Baldwin;Winston Churchill;Rohan Paul

  • A comparison of loop closing techniques in monocular SLAM

    Brian Williams;Mark Cummins;José Neira;Paul Newman

  • Cooperative concurrent mapping and localization

    J.W. Fenwick;P.M. Newman;J.J. Leonard

  • SLAM-Loop Closing with Visually Salient Features

    P. Newman;Kin Ho

  • On the Structure and Solution of the Simultaneous Localisation and Map Building Problem

    Paul Michael Newman

  • Detecting Loop Closure with Scene Sequences

    Kin Leong Ho;Paul Newman

  • Experience-based navigation for long-term localisation

    Winston Churchill;Paul Newman

  • Nested Autonomy for Unmanned Marine Vehicles with MOOS-IvP

    Michael R. Benjamin;Henrik Schmidt;Paul M. Newman;John J. Leonard

  • RSLAM: A System for Large-Scale Mapping in Constant-Time Using Stereo

    Christopher Mei;Gabe Sibley;Mark Cummins;Paul Newman

Frequent Co-Authors

Ingmar Posner
Ingmar Posner University of Oxford
Peter Corke
Peter Corke Queensland University of Technology
Ian Reid
Ian Reid University of Adelaide
Hugh Durrant-Whyte
Hugh Durrant-Whyte University of Sydney
Juan D. Tardós
Juan D. Tardós University of Zaragoza
José Neira
José Neira University of Zaragoza

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