World's Best Scientists 2026 revealed!
Saurabh Kumar Garg

Saurabh Kumar Garg

D-Index & Metrics

Computer Science

D-Index
45
Citations
10500
World Ranking
7102
National Ranking
225

Saurabh Kumar 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 Saurabh Kumar 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: 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.

Saurabh Kumar 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 Saurabh Kumar 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: 45 D-Index — 51st percentile

51% of scientists in this discipline score the same or lower.

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

Overview

Saurabh Kumar Garg is affiliated with the University of Tasmania in Australia. Their research primarily spans the field of Computer Science, with a focus on areas such as Computer Networks and Communications, Artificial Intelligence, Information Systems, Computer Vision and Pattern Recognition, and Cognitive Neuroscience.

The scientist's research encompasses several main topics, including:

  • IoT and Edge/Fog Computing
  • Cloud Computing and Resource Management
  • Blockchain Technology Applications and Security
  • Dementia and Cognitive Impairment Research
  • Domain Adaptation and Few-Shot Learning
  • Privacy-Preserving Technologies in Data
  • Functional Brain Connectivity Studies

They have contributed to numerous publications, with recent notable papers including:

  • "IoTSim-Edge: A simulation framework for modeling the behavior of Internet of Things and edge computing environments", 2020, Software Practice and Experience
  • "Applications of artificial intelligence to aid early detection of dementia: A scoping review on current capabilities and future directions", 2022, Journal of Biomedical Informatics
  • "A taxonomy study on securing Blockchain-based Industrial applications: An overview, application perspectives, requirements, attacks, countermeasures, and open issues", 2022, Journal of Industrial Information Integration
  • "FogAuthChain: A secure location-based authentication scheme in fog computing environments using Blockchain", 2020, Computer Communications
  • "Towards Interconnected Blockchains", 2021, ACM Computing Surveys

Their coauthor network includes frequent collaborations with researchers such as Nasrin Akbari, Sam Hashemi, Muhammad Bilal Amin, Byeong Ho Kang, and Zachary C. Lipton.

Publication venues where their work appears frequently include:

  • arXiv (Cornell University)
  • Alzheimer's & Dementia
  • SSRN Electronic Journal
  • Proceedings on CD-ROM - International Society for Magnetic Resonance in Medicine. Scientific Meeting and Exhibition/Proceedings of the International Society for Magnetic Resonance in Medicine, Scientific Meeting and Exhibition
  • Environmental Modelling & Software

Best Publications

  • A framework for ranking of cloud computing services

    Saurabh Kumar Garg;Steve Versteeg;Rajkumar Buyya

  • Fog Computing: Survey of Trends, Architectures, Requirements, and Research Directions

    Ranesh Kumar Naha;Saurabh Garg;Dimitrios Georgakopoulos;Prem Prakash Jayaraman

  • SLA-Based Resource Allocation for Software as a Service Provider (SaaS) in Cloud Computing Environments

    Linlin Wu;Saurabh Kumar Garg;Rajkumar Buyya

  • SMICloud: A Framework for Comparing and Ranking Cloud Services

    Saurabh Kumar Garg;Steve Versteeg;Rajkumar Buyya

  • Environment-conscious scheduling of HPC applications on distributed Cloud-oriented data centers

    Saurabh Kumar Garg;Chee Shin Yeo;Arun Anandasivam;Rajkumar Buyya

  • NetworkCloudSim: Modelling Parallel Applications in Cloud Simulations

    Saurabh Kumar Garg;Rajkumar Buyya

  • SLA-oriented resource provisioning for cloud computing: Challenges, architecture, and solutions

    Rajkumar Buyya;Saurabh Kumar Garg;Rodrigo N. Calheiros

  • SLA-based admission control for a Software-as-a-Service provider in Cloud computing environments

    Linlin Wu;Saurabh Kumar Garg;Rajkumar Buyya

  • SLA-based virtual machine management for heterogeneous workloads in a cloud datacenter

    Saurabh Kumar Garg;Adel Nadjaran Toosi;Srinivasa K. Gopalaiyengar;Rajkumar Buyya

  • Scoring Users’ Privacy Disclosure Across Multiple Online Social Networks

    Erfan Aghasian;Saurabh Garg;Longxiang Gao;Shui Yu

  • IOTSim: A simulator for analysing IoT applications

    Xuezhi Zeng;Saurabh Kumar Garg;Peter Strazdins;Prem Prakash Jayaraman

  • Scheduling parallel applications on utility grids: time and cost trade-off management

    Saurabh Kumar Garg;Rajkumar Buyya;H. J. Siegel

  • Energy and carbon-efficient placement of virtual machines in distributed cloud data centers

    Atefeh Khosravi;Saurabh Kumar Garg;Rajkumar Buyya

  • Time and cost trade-off management for scheduling parallel applications on Utility Grids

    Saurabh Kumar Garg;Rajkumar Buyya;Howard Jay Siegel

  • Pricing Cloud Compute Commodities: A Novel Financial Economic Model

    Bhanu Sharma;Ruppa K. Thulasiram;Parimala Thulasiraman;Saurabh K. Garg

  • Robust Scheduling of Scientific Workflows with Deadline and Budget Constraints in Clouds

    Deepak Poola;Saurabh Kumar Garg;Rajkumar Buyya;Yun Yang

  • SLA-Based Resource Provisioning for Hosted Software-as-a-Service Applications in Cloud Computing Environments

    Linlin Wu;Saurabh Kumar Garg;Steven Versteeg;Rajkumar Buyya

  • SLA-based resource provisioning for heterogeneous workloads in a virtualized cloud datacenter

    Saurabh Kumar Garg;Srinivasa K. Gopalaiyengar;Rajkumar Buyya

  • Deadline-based dynamic resource allocation and provisioning algorithms in Fog-Cloud environment

    Ranesh Kumar Naha;Saurabh Garg;Andrew Chan;Sudheer Kumar Battula

  • Green cloud framework for improving carbon efficiency of clouds

    Saurabh Kumar Garg;Chee Shin Yeo;Rajkumar Buyya

Frequent Co-Authors

Rajkumar Buyya
Rajkumar Buyya University of Melbourne
Rajiv Ranjan
Rajiv Ranjan Newcastle University
Martin J. McKeown
Martin J. McKeown University of British Columbia
Rodrigo N. Calheiros
Rodrigo N. Calheiros Western Sydney University
Prem Prakash Jayaraman
Prem Prakash Jayaraman Swinburne University of Technology
Zachary C. Lipton
Zachary C. Lipton Carnegie Mellon University
Albert Y. Zomaya
Albert Y. Zomaya University of Sydney
Ghassan Hamarneh
Ghassan Hamarneh Simon Fraser University
Allard Jongman
Allard Jongman University of Kansas
Dimitrios Georgakopoulos
Dimitrios Georgakopoulos Swinburne University of Technology

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