World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
57
Citations
14503
World Ranking
3798
National Ranking
228

Chris D. Nugent 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 Chris D. Nugent 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: 668 publications — 97th percentile

97% of scientists in this discipline score the same or lower.

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

Chris D. Nugent 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 Chris D. Nugent 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: 57 D-Index — 74th percentile

74% of scientists in this discipline score the same or lower.

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

Overview

Chris D. Nugent is affiliated with the University of Ulster in the United Kingdom. Their research primarily spans the fields of Computer Science and Engineering. Within these, they focus on subfields such as Computer Vision and Pattern Recognition, Artificial Intelligence, Biomedical Engineering, Computer Networks and Communications, and Electrical and Electronic Engineering.

Their work covers a range of topics including context-aware activity recognition systems, IoT and edge/fog computing, anomaly detection techniques and applications, human pose and action recognition, technology use by older adults, non-invasive vital sign monitoring, and mobile health and mHealth applications.

Recent publications by Chris D. Nugent include:

  • Feature learning for Human Activity Recognition using Convolutional Neural Networks (2020), published in CCF Transactions on Pervasive Computing and Interaction
  • IoT reliability: a review leading to 5 key research directions (2020), published in CCF Transactions on Pervasive Computing and Interaction
  • SRAM-PUF-Based Entities Authentication Scheme for Resource-Constrained IoT Devices (2020), published in IEEE Internet of Things Journal
  • Highly explainable cumulative belief rule-based system with effective rule-base modeling and inference scheme (2021), published in Knowledge-Based Systems
  • Human digital twin: a survey (2024), published in Journal of Cloud Computing Advances Systems and Applications

Chris D. Nugent frequently collaborates with several researchers. Regular coauthors include:

  • Ian Cleland, with 33 joint publications
  • Matías García-Constantino, with 14 joint publications
  • Javier Medina-Quero, with 13 joint publications
  • Liming Chen, with 12 joint publications
  • Jun Liu, with 11 joint publications

Their articles are often published in several recurring venues, including:

  • Sensors
  • CCF Transactions on Pervasive Computing and Interaction
  • IEEE Journal of Biomedical and Health Informatics
  • IEEE Access
  • Preprints.org

Best Publications

  • Sensor-Based Activity Recognition

    Liming Chen;J. Hoey;C. D. Nugent;D. J. Cook

  • A Knowledge-Driven Approach to Activity Recognition in Smart Homes

    Liming Chen;C. D. Nugent;Hui Wang

  • Optimal Placement of Accelerometers for the Detection of Everyday Activities

    Ian Cleland;Basel Kikhia;Chris D. Nugent;Andrey Boytsov

  • Review of ICT-Based Services for Identified Unmet Needs in People with Dementia

    S. Lauriks;A. Reinersmann;H.G. Van der Roest;F.J.M. Meiland

  • Review of ICT-based services for identified unmet needs in people with dementia

    S. Lauriks;A. Reinersmann;H.G. van der Roest;F.J.M. Meiland

  • Ontology‐based activity recognition in intelligent pervasive environments

    Liming Chen;Chris D. Nugent

  • Evidential fusion of sensor data for activity recognition in smart homes

    Xin Hong;Chris Nugent;Maurice Mulvenna;Sally McClean

  • 5G Communication: An Overview of Vehicle-to-Everything, Drones, and Healthcare Use-Cases

    Hanif Ullah;Nithya Gopalakrishnan Nair;Adrian Moore;Chris D. Nugent

  • Using computer, mobile and wearable technology enhanced interventions to reduce sedentary behaviour: a systematic review and meta-analysis.

    Aoife Stephenson;Suzanne M. McDonough;Suzanne M. McDonough;Marie H. Murphy;Chris D. Nugent

  • Smart home technologies for health and social care support

    Suzanne Martin;Greg Kelly;W George Kernohan;Bernadette McCreight

  • Technology and Dementia: The Future is Now.

    Arlene J Astell;Nicole Bouranis;Jesse Hoey;Allison Lindauer

  • An Ontology-Based Hybrid Approach to Activity Modeling for Smart Homes

    Liming Chen;Chris Nugent;George Okeyo

  • From Activity Recognition to Intention Recognition for Assisted Living Within Smart Homes

    Joseph Rafferty;Chris D. Nugent;Jun Liu;Liming Chen

  • Web-Based STAR E-Learning Course Increases Empathy and Understanding in Dementia Caregivers: Results from a Randomized Controlled Trial in the Netherlands and the United Kingdom

    Bart Hattink;Franka Meiland;Henriëtte van der Roest;Peter Kevern

  • The use of temporal reasoning and management of complex events in smart homes

    Juan C. Augusto;Chris D. Nugent

  • Designing Smart Homes: the Role of Artificial Intelligence

    Juan Carlos Augusto;Chris D. Nugent

  • Quantifying health literacy and eHealth literacy using existing instruments and browser-based software for tracking online health information seeking behavior

    Susan Quinn;Raymond Bond;Chris Nugent

  • Feature learning for Human Activity Recognition using Convolutional Neural Networks: A case study for Inertial Measurement Unit and Audio data

    Federico Cruciani;Anastasios Vafeiadis;Chris D. Nugent;Ian Cleland

  • Activity Monitoring Using a Smart Phone's Accelerometer with Hierarchical Classification

    Shumei Zhang;Paul McCullagh;Chris Nugent;Huiru Zheng

  • Smart homes can be smarter

    Juan C. Augusto;Chris D. Nugent

  • Knowledge networks

    Maurice Mulvenna;Franco Zambonelli;Kevin Curran;Chris Nugent

Frequent Co-Authors

Maurice Mulvenna
Maurice Mulvenna University of Ulster
Sally McClean
Sally McClean University of Ulster
David Craig
David Craig University of Southern California
Kevin Curran
Kevin Curran University of Ulster
Hui Wang
Hui Wang University of Ulster
JoAnn T. Tschanz
JoAnn T. Tschanz Utah State University
Luis Martínez
Luis Martínez University of Jaén
Rose-Marie Dröes
Rose-Marie Dröes University of Amsterdam
Juan Carlos Augusto
Juan Carlos Augusto Middlesex University
James McLaughlin
James McLaughlin University of Ulster

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