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Computer Science

D-Index
60
Citations
10800
World Ranking
3303
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21

Sahil Garg 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 Sahil Garg 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: 303 publications — 74th percentile

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

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

Sahil Garg 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 Sahil Garg 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: 60 D-Index — 78th percentile

78% 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 Rising Stars Award

Overview

Sahil Garg is affiliated with the Canadian University of Dubai in the United Arab Emirates. Their primary research areas span computer science and engineering, with a significant focus on multiple subfields and applied topics.

The main fields of study include:

  • Computer Science
  • Engineering

Key subfields of study cover:

  • Computer Networks and Communications
  • Electrical and Electronic Engineering
  • Artificial Intelligence
  • Information Systems
  • Aerospace Engineering

Primary topics of research encompass:

  • IoT and Edge/Fog Computing
  • Blockchain Technology Applications and Security
  • Advanced Wireless Communication Technologies
  • Privacy-Preserving Technologies in Data
  • UAV Applications and Optimization
  • Software-Defined Networks and 5G
  • Vehicular Ad Hoc Networks (VANETs)

Sahil Garg has authored numerous papers, some of the recent notable works include:

  • A Blockchained Federated Learning Framework for Cognitive Computing in Industry 4.0 Networks (2020) - IEEE Transactions on Industrial Informatics
  • Edge YOLO: Real-Time Intelligent Object Detection System Based on Edge-Cloud Cooperation in Autonomous Vehicles (2022) - IEEE Transactions on Intelligent Transportation Systems
  • Blockchain-Based On-Demand Computing Resource Trading in IoV-Assisted Smart City (2020) - IEEE Transactions on Emerging Topics in Computing
  • A Blockchain-Based Framework for Lightweight Data Sharing and Energy Trading in V2G Network (2020) - IEEE Transactions on Vehicular Technology
  • Toward Accurate Anomaly Detection in Industrial Internet of Things Using Hierarchical Federated Learning (2021) - IEEE Internet of Things Journal

The frequent coauthors contributing to Sahil Garg's research include:

  • Georges Kaddoum
  • Mohammad Mehedi Hassan
  • M. Shamim Hossain
  • Haotong Cao
  • Mubarak Alrashoud

Publication venues where Sahil Garg's work commonly appears are:

  • IEEE Internet of Things Journal
  • Alexandria Engineering Journal
  • IEEE Transactions on Intelligent Transportation Systems
  • IEEE Transactions on Industrial Informatics
  • IEEE Network

In addition, Sahil Garg has contributed to book publications with Springer Science+Business Media, including:

  • Intelligent Cyber-Physical Systems for Autonomous Transportation (2022)
  • Software Defined Internet of Everything (2022)

Best Publications

  • Deep Anomaly Detection for Time-Series Data in Industrial IoT: A Communication-Efficient On-Device Federated Learning Approach

    Yi Liu;Sahil Garg;Jiangtian Nie;Yang Zhang

  • Edge Computing in the Industrial Internet of Things Environment: Software-Defined-Networks-Based Edge-Cloud Interplay

    Kuljeet Kaur;Sahil Garg;Gagangeet Singh Aujla;Neeraj Kumar

  • Edge YOLO: Real-Time Intelligent Object Detection System Based on Edge-Cloud Cooperation in Autonomous Vehicles

    Unknown

  • A Blockchained Federated Learning Framework for Cognitive Computing in Industry 4.0 Networks

    Youyang Qu;Shiva Raj Pokhrel;Sahil Garg;Longxiang Gao

  • A Hybrid Deep Learning-Based Model for Anomaly Detection in Cloud Datacenter Networks

    Sahil Garg;Kuljeet Kaur;Neeraj Kumar;Georges Kaddoum

  • Hybrid Deep-Learning-Based Anomaly Detection Scheme for Suspicious Flow Detection in SDN: A Social Multimedia Perspective

    Sahil Garg;Kuljeet Kaur;Neeraj Kumar;Joel J. P. C. Rodrigues

  • Blockchain-Based On-Demand Computing Resource Trading in IoV-Assisted Smart City

    Xi Lin;Jun Wu;Shahid Mumtaz;Sahil Garg

  • A blockchain-based framework for lightweight data sharing and energy trading in V2G network

    Vikas Hassija;Vinay Chamola;Sahil Garg;Dara Nanda Gopala Krishna

  • A distributed intrusion detection system to detect DDoS attacks in blockchain-enabled IoT network

    Unknown

  • Towards Accurate Anomaly Detection in Industrial Internet-of-Things using Hierarchical Federated Learning

    Xiaoding Wang;Sahil Garg;Hui Lin;Jia Hu

  • SDN-Enabled Multi-Attribute-Based Secure Communication for Smart Grid in IIoT Environment

    Rajat Chaudhary;Gagangeet Singh Aujla;Sahil Garg;Neeraj Kumar

  • UAV-Empowered Edge Computing Environment for Cyber-Threat Detection in Smart Vehicles

    Sahil Garg;Amritpal Singh;Shalini Batra;Neeraj Kumar

  • Edge Computing-Based Security Framework for Big Data Analytics in VANETs

    Sahil Garg;Amritpal Singh;Kuljeet Kaur;Gagangeet Singh Aujla

  • Data-Driven Trajectory Quality Improvement for Promoting Intelligent Vessel Traffic Services in 6G-Enabled Maritime IoT Systems

    Ryan Wen Liu;Jiangtian Nie;Sahil Garg;Zehui Xiong

  • Secure and Lightweight Authentication Scheme for Smart Metering Infrastructure in Smart Grid

    Sahil Garg;Kuljeet Kaur;Georges Kaddoum;Joel J. P. C. Rodrigues

  • KEIDS: Kubernetes-Based Energy and Interference Driven Scheduler for Industrial IoT in Edge-Cloud Ecosystem

    Kuljeet Kaur;Sahil Garg;Georges Kaddoum;Syed Hassan Ahmed

  • Graph Neural Networks-driven Traffic Forecasting for Connected Internet of Vehicles

    Qin Zhang;Keping Yu;Zhiwei Guo;Sahil Garg

  • Lightweight CNN model for human face detection in risk situations

    Micha Wieczorek;Jakub Sika;Marcin Wozniak;Sahil Garg

  • An Efficient Spam Detection Technique for IoT Devices Using Machine Learning

    Aaisha Makkar;Sahil Garg;Neeraj Kumar;M. Shamim Hossain

  • Renewable Energy-Based Multi-Indexed Job Classification and Container Management Scheme for Sustainability of Cloud Data Centers

    Neeraj Kumar;Gagangeet Singh Aujla;Sahil Garg;Kuljeet Kaur

  • SDN-Based Secure and Privacy-Preserving Scheme for Vehicular Networks: A 5G Perspective

    Sahil Garg;Kuljeet Kaur;Georges Kaddoum;Syed Hassan Ahmed

  • A Secure Data Aggregation Strategy in Edge Computing and Blockchain empowered Internet of Things

    Xiaoding Wang;Sahil Garg;Hui Lin;Georges Kaddoum

  • SAFE: SDN-Assisted Framework for Edge–Cloud Interplay in Secure Healthcare Ecosystem

    Gagangeet Singh Aujla;Rajat Chaudhary;Kuljeet Kaur;Sahil Garg

Frequent Co-Authors

Georges Kaddoum
Georges Kaddoum École de Technologie Supérieure
Kuljeet Kaur
Kuljeet Kaur École de Technologie Supérieure
M. Shamim Hossain
M. Shamim Hossain King Saud University
Neeraj Kumar
Neeraj Kumar Thapar University
Gagangeet Singh Aujla
Gagangeet Singh Aujla Durham University
Mohsen Guizani
Mohsen Guizani Mohamed bin Zayed University of Artificial Intelligence
Syed Hassan Ahmed
Syed Hassan Ahmed Georgia Southern University
Zehui Xiong
Zehui Xiong Queen's University Belfast
Jia Hu
Jia Hu University of Exeter
Md. Jalil Piran
Md. Jalil Piran Sejong University

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