World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
43
Citations
10037
World Ranking
7859
National Ranking
467

Payam Barnaghi 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 Payam Barnaghi 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: 188 publications — 42nd percentile

42% of scientists in this discipline score the same or lower.

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

Payam Barnaghi 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 Payam Barnaghi 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: 43 D-Index — 46th percentile

46% of scientists in this discipline score the same or lower.

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

Overview

Payam Barnaghi is affiliated with Imperial College London in the United Kingdom. Their research primarily spans the fields of Computer Science and Medicine, with a significant focus on both artificial intelligence applications and healthcare-related topics.

The main areas of study in their work include:

  • Computer Science
  • Medicine

Within these fields, they have contributed extensively to several subfields such as:

  • Artificial Intelligence
  • Psychiatry and Mental Health
  • Experimental and Cognitive Psychology
  • Computer Vision and Pattern Recognition
  • Cognitive Neuroscience

Key topics addressed across their publications are:

  • Dementia and Cognitive Impairment Research
  • Context-Aware Activity Recognition Systems
  • Machine Learning in Healthcare
  • Sleep and Related Disorders
  • Geriatric Care and Nursing Homes
  • Anomaly Detection Techniques and Applications
  • Sleep and Wakefulness Research

Payam Barnaghi has published research in various venues. They have frequently contributed to:

  • arXiv (Cornell University)
  • Alzheimer's & Dementia
  • bioRxiv (Cold Spring Harbor Laboratory)
  • IEEE Internet of Things Journal
  • npj Digital Medicine

Notable recent papers include:

  • "Harnessing the Power of Smart and Connected Health to Tackle COVID-19: IoT, AI, Robotics, and Blockchain for a Better World" (2021, IEEE Internet of Things Journal)
  • "Conversational Affective Social Robots for Ageing and Dementia Support" (2021, IEEE Transactions on Cognitive and Developmental Systems)
  • "Continual Learning Using Bayesian Neural Networks" (2020, IEEE Transactions on Neural Networks and Learning Systems)
  • "Network Analysis to Identify Symptoms Clusters and Temporal Interconnections in Oncology Patients" (2022, Scientific Reports)
  • "Ethical Considerations in Design and Implementation of Home-Based Smart Care for Dementia" (2022, Nursing Ethics)

Frequent collaborators of Payam Barnaghi include:

  • Ramin Nilforooshan
  • David Sharp
  • Alexander Capstick
  • Eyal Soreq
  • Samaneh Kouchaki

They have also contributed to book publishing, with at least one book published by Springer Science+Business Media titled The Semantic Web - ISWC 2021 (2021).

Best Publications

  • Ontology paper: The SSN ontology of the W3C semantic sensor network incubator group

    Michael Compton;Payam Barnaghi;Luis Bermudez;RaúL GarcíA-Castro

  • Machine Learning for Internet of Things Data Analysis: A Survey

    Mohammad Saeid Mahdavinejad;Mohammad Saeid Mahdavinejad;Mohammadreza Rezvan;Mohammadreza Rezvan;Mohammadamin Barekatain;Peyman Adibi

  • Semantics for the Internet of Things: Early Progress and Back to the Future

    Payam Barnaghi;Wei Wang;Cory Henson;Kerry Taylor

  • Service modelling for the Internet of Things

    Suparna De;Payam Barnaghi;Martin Bauer;Stefan Meissner

  • CityPulse: Large Scale Data Analytics Framework for Smart Cities

    Dan Puiu;Payam Barnaghi;Ralf Tonjes;Daniel Kumper

  • From Data to Actionable Knowledge: Big Data Challenges in the Web of Things [Guest Editors' Introduction]

    Payam Barnaghi;Amit Sheth;Cory Henson

  • IoT-Lite: A Lightweight Semantic Model for the Internet of Things

    Maria Bermudez-Edo;Tarek Elsaleh;Payam Barnaghi;Kerry Taylor

  • Probabilistic Topic Models for Learning Terminological Ontologies

    Wei Wang;Payam Mamaani Barnaghi;Andrzej Bargiela

  • A Practical Evaluation of Information Processing and Abstraction Techniques for the Internet of Things

    Frieder Ganz;Daniel Puschmann;Payam Barnaghi;Francois Carrez

  • Publishing linked sensor data

    Payam Barnaghi;Mirko Presser

  • The SSN Ontology of the W3C Semantic Sensor Network Incubator Group

    Michael Compton;Payam Barnaghi;Luis Bermudez;Raúl García-Castro

  • The SENSEI project: integrating the physical world with the digital world of the network of the future

    Mirko Presser;Payam M. Barnaghi;Markus Eurich;Claudia Villalonga

  • A Knowledge-Based Approach for Real-Time IoT Data Stream Annotation and Processing

    Sefki Kolozali;Maria Bermudez-Edo;Daniel Puschmann;Frieder Ganz

  • An Internet of Things Platform for Real-World and Digital Objects

    Suparna De;Tarek Elsaleh;Payam M. Barnaghi;Stefan Meissner

  • Adaptive Clustering for Dynamic IoT Data Streams

    Daniel Puschmann;Payam Barnaghi;Rahim Tafazolli

  • IoT-Lite: a lightweight semantic model for the internet of things and its use with dynamic semantics

    Maria Bermudez-Edo;Tarek Elsaleh;Payam Barnaghi;Kerry Taylor

  • Health management and pattern analysis of daily living activities of people with dementia using in-home sensors and machine learning techniques

    Shirin Enshaeifar;Ahmed Zoha;Andreas Markides;Severin Skillman

  • Extracting City Traffic Events from Social Streams

    Pramod Anantharam;Payam Barnaghi;Krishnaprasad Thirunarayan;Amit Sheth

  • Harnessing the Power of Smart and Connected Health to Tackle COVID-19: IoT, AI, Robotics, and Blockchain for a Better World

    Farshad Firouzi;Bahar Farahani;Mahmoud Daneshmand;Kathy Grise

  • Semantic Modelling of Smart City Data

    Stefan Bischof;Athanasios Karapantelakis;Cosmin-Septimiu Nechifor;Amit P. Sheth

  • The SENSEI project: integrating the physical world with the digital world of the network of the future - [global communications newsletter]

    M Presser;P Barnaghi;M Eurich;C Villalonga

Frequent Co-Authors

Klaus Moessner
Klaus Moessner University of Surrey
Amit P. Sheth
Amit P. Sheth University of South Carolina
Rahim Tafazolli
Rahim Tafazolli University of Surrey
David J. Sharp
David J. Sharp Imperial College London
Manfred Hauswirth
Manfred Hauswirth Technical University of Berlin
Christine Miaskowski
Christine Miaskowski University of California, San Francisco
Krzysztof Janowicz
Krzysztof Janowicz University of California, Santa Barbara
Oscar Corcho
Oscar Corcho Technical University of Madrid
Xiao Hu
Xiao Hu University of Hong Kong
Chonggang Wang
Chonggang Wang InterDigital (United States)

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