World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
43
Citations
8812
World Ranking
7907
National Ranking
472

Sukhpal Singh Gill 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 Sukhpal Singh Gill 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: 174 publications — 36th percentile

36% of scientists in this discipline score the same or lower.

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

Sukhpal Singh Gill 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 Sukhpal Singh Gill 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

Sukhpal Singh Gill is affiliated with Queen Mary University of London in the United Kingdom. Their research contributions primarily focus on the field of Computer Science, with significant work in subfields such as Computer Networks and Communications, Information Systems, Artificial Intelligence, Electrical and Electronic Engineering, and Radiology, Nuclear Medicine and Imaging.

The key research topics covered by Sukhpal Singh Gill include:

  • IoT and Edge/Fog Computing
  • Cloud Computing and Resource Management
  • Blockchain Technology Applications and Security
  • COVID-19 diagnosis using AI
  • Quantum Computing Algorithms and Architecture
  • Privacy-Preserving Technologies in Data
  • Artificial Intelligence in Healthcare

Frequent publication venues for their work include:

  • arXiv (Cornell University)
  • Internet of Things
  • Software Practice and Experience
  • Internet Technology Letters
  • Internet of Things and Cyber-Physical Systems

Some of their recent published papers are:

  • AI for next generation computing: Emerging trends and future directions (2022), Internet of Things
  • Transformative effects of ChatGPT on modern education: Emerging Era of AI Chatbots (2023), Internet of Things and Cyber-Physical Systems

Other notable papers linked to their research environment include:

  • Predicting the growth and trend of COVID-19 pandemic using machine learning and cloud computing (2020), Internet of Things
  • Edge AI: A survey (2023), Internet of Things and Cyber-Physical Systems
  • Performance evaluation metrics for cloud, fog and edge computing: A review, taxonomy, benchmarks and standards for future research (2020), Internet of Things

Sukhpal Singh Gill collaborates frequently with several researchers in the field, including Steve Uhlig, Muhammed Golec, Huaming Wu, Rajkumar Buyya, and Minxian Xu, with whom they have co-authored multiple works.

In addition to journal and conference papers, Gill has contributed to scholarly books, including a publication with Springer International Publishing titled Quantum and Blockchain for Modern Computing Systems: Vision and Advancements (2022).

Best Publications

  • AI for Next Generation Computing: Emerging Trends and Future Directions

    Unknown

  • HealthFog: An ensemble deep learning based Smart Healthcare System for Automatic Diagnosis of Heart Diseases in integrated IoT and fog computing environments

    Shreshth Tuli;Shreshth Tuli;Nipam Basumatary;Nipam Basumatary;Sukhpal Singh Gill;Mohsen Kahani;Mohsen Kahani

  • Predicting the growth and trend of COVID-19 pandemic using machine learning and cloud computing

    Shreshth Tuli;Shikhar Tuli;Rakesh Tuli;Sukhpal Singh Gill

  • Transformative effects of IoT, Blockchain and Artificial Intelligence on cloud computing: Evolution, vision, trends and open challenges

    Sukhpal Singh Gill;Shreshth Tuli;Minxian Xu;Inderpreet Singh

  • Edge AI: A survey

    Unknown

  • AI-based Fog and Edge Computing: A Systematic Review, Taxonomy and Future Directions

    Unknown

  • Performance Evaluation Metrics for Cloud, Fog and Edge Computing: A Review, Taxonomy, Benchmarks and Standards for Future Research

    Mohammad Sadegh Aslanpour;Mohammad Sadegh Aslanpour;Sukhpal Singh Gill;Adel Nadjaran Toosi

  • Quantum computing: A taxonomy, systematic review and future directions

    Sukhpal Singh Gill;Adarsh Kumar;Harvinder Singh;Manmeet Singh;Manmeet Singh

  • A drone-based networked system and methods for combating coronavirus disease (COVID-19) pandemic

    Adarsh Kumar;Kriti Sharma;Harvinder Singh;Sagar Gupta Naugriya

  • Modern Computing: Vision and Challenges

    Unknown

  • AI-Empowered Fog/Edge Resource Management for IoT Applications: A Comprehensive Review, Research Challenges, and Future Perspectives

    Unknown

  • Serverless Edge Computing: Vision and Challenges

    Mohammad S. Aslanpour;Adel N. Toosi;Claudio Cicconetti;Bahman Javadi

  • IoT and Fog Computing based Predictive Maintenance Model for Effective Asset Management in Industry 4.0 using Machine Learning

    Yyi Kai Teoh;Sukhpal Singh Gill;Ajith Kumar Parlikad

  • ROUTER: Fog enabled cloud based intelligent resource management approach for smart home IoT devices

    Sukhpal Singh Gill;Sukhpal Singh Gill;Peter Garraghan;Rajkumar Buyya

  • A Taxonomy and Future Directions for Sustainable Cloud Computing: 360 Degree View

    Sukhpal Singh Gill;Rajkumar Buyya

  • IoT Based Agriculture as a Cloud and Big Data Service: The Beginning of Digital India

    Sukhpal Singh Gill;Inderveer Chana;Rajkumar Buyya

  • HUNTER: AI based holistic resource management for sustainable cloud computing

    Shreshth Tuli;Sukhpal Singh Gill;Minxian Xu;Peter Garraghan

  • Fog computing: A taxonomy, systematic review, current trends and research challenges

    Jagdeep Singh;Jagdeep Singh;Parminder Singh;Sukhpal Singh Gill

  • HunterPlus: AI based energy-efficient task scheduling for cloud–fog computing environments

    Unknown

  • HealthCloud: A system for monitoring health status of heart patients using machine learning and cloud computing

    Unknown

  • esDNN: Deep Neural Network Based Multivariate Workload Prediction in Cloud Computing Environments

    Unknown

  • CHOPPER: an intelligent QoS-aware autonomic resource management approach for cloud computing

    Sukhpal Singh Gill;Inderveer Chana;Maninder Singh;Rajkumar Buyya

  • Next generation technologies for smart healthcare: challenges, vision, model, trends and future directions

    Shreshth Tuli;Shikhar Tuli;Gurleen Wander;Praneet Wander

  • Holistic resource management for sustainable and reliable cloud computing: An innovative solution to global challenge

    Sukhpal Singh Gill;Sukhpal Singh Gill;Peter Garraghan;Vlado Stankovski;Giuliano Casale

  • Resource Provisioning Based Scheduling Framework for Execution of Heterogeneous and Clustered Workloads in Clouds: from Fundamental to Autonomic Offering

    Sukhpal Singh Gill;Rajkumar Buyya

  • BULLET: Particle Swarm Optimization Based Scheduling Technique for Provisioned Cloud Resources

    Sukhpal Singh Gill;Rajkumar Buyya;Inderveer Chana;Maninder Singh

  • Fog-Based Smart Healthcare as a Big Data and Cloud Service for Heart Patients Using IoT

    Sukhpal Singh Gill;Rajesh Chand Arya;Gurpreet Singh Wander;Rajkumar Buyya

  • Metaheuristics for scheduling of heterogeneous tasks in cloud computing environments: Analysis, performance evaluation, and future directions

    Harvinder Singh;Sanjay Tyagi;Pardeep Kumar;Sukhpal Singh Gill

Frequent Co-Authors

Rajkumar Buyya
Rajkumar Buyya University of Melbourne
Rami Bahsoon
Rami Bahsoon University of Birmingham
Omer F. Rana
Omer F. Rana Cardiff University
Rizos Sakellariou
Rizos Sakellariou University of Manchester
Adel Nadjaran Toosi
Adel Nadjaran Toosi University of Melbourne
Inderveer Chana
Inderveer Chana Thapar University
Sanjay Misra
Sanjay Misra Institute for Energy Technology
Cheng-Zhong Xu
Cheng-Zhong Xu University of Macau
Rakesh Tuli
Rakesh Tuli Panjab University

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