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Computer Science
Australia
2026

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Best Scientists

D-Index
166
Citations
145213
World Ranking
992
National Ranking
27

Computer Science

D-Index
171
Citations
149528
World Ranking
15
National Ranking
1

Rajkumar Buyya 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 Rajkumar Buyya 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: 1,252 publications — 100th percentile

100% of scientists in this discipline score the same or lower.

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

Rajkumar Buyya 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 Rajkumar Buyya 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: 171 D-Index — 100th percentile

100% 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

  • 2026 - Research.com Computer Science in Australia Leader Award
  • 2025 - Research.com Best Scientists Award
  • 2025 - Research.com Computer Science in Australia Leader Award
  • 2023 - Research.com Computer Science in Australia Leader Award
  • 2022 - Research.com Computer Science in Australia Leader Award
  • 2015 - IEEE Fellow For contributions to cloud computing
  • 2008 - ACM Senior Member

Overview

Rajkumar Buyya is affiliated with the University of Melbourne in Australia. Their research primarily focuses on computer science with significant contributions to multiple subfields, including computer networks and communications, information systems, artificial intelligence, electrical and electronic engineering, and computer vision and pattern recognition.

The main topics of Buyya's work include:

  • IoT and Edge/Fog Computing
  • Cloud Computing and Resource Management
  • Distributed and Parallel Computing Systems
  • Blockchain Technology Applications and Security
  • Software System Performance and Reliability
  • Caching and Content Delivery
  • Software-Defined Networks and 5G

Frequent coauthors associated with Buyya consist of:

  • Maria A. Rodriguez
  • Sukhpal Singh Gill
  • Dawei Sun
  • Minxian Xu
  • Shashikant Ilager

Buyya has published extensively in several scientific venues, with the most frequent publication venues being:

  • arXiv (Cornell University)
  • Software Practice and Experience
  • Future Generation Computer Systems
  • IEEE Transactions on Services Computing
  • IEEE Internet of Things Journal

Among the recent academic papers authored or co-authored by Buyya are:

  • "Transformative effects of ChatGPT on modern education: Emerging Era of AI Chatbots" (2023), published in Internet of Things and Cyber-Physical Systems
  • "An Application Placement Technique for Concurrent IoT Applications in Edge and Fog Computing Environments" (2020), published in IEEE Transactions on Mobile Computing
  • "Dynamic Scheduling for Stochastic Edge-Cloud Computing Environments Using A3C Learning and Residual Recurrent Neural Networks" (2020), published in IEEE Transactions on Mobile Computing
  • "iFogSim2: An extended iFogSim simulator for mobility, clustering, and microservice management in edge and fog computing environments" (2022), published in Journal of Systems and Software
  • "Application Management in Fog Computing Environments: A Taxonomy, Review and Future Directions" (2020), published on arXiv (Cornell University)

Buyya's contributions also extend to multiple book publications across various publishers, including Springer Nature, Springer Science+Business Media, Springer International Publishing, and Auerbach Publications eBooks. Some of the titles include:

  • "Intelligent and Cloud Computing" (2020, 2022)
  • "Progress in Advanced Computing and Intelligent Engineering" (2020)
  • "Artificial Intelligence-based Internet of Things Systems" (2022)
  • "New Frontiers in Cloud Computing and Internet of Things" (2022)
  • "Advanced Computing, Machine Learning, Robotics and Internet Technologies" (2024)
  • "Cloud Computing in Medical Imaging" (2023)

Awards received by Buyya include:

  • IEEE Fellow (2015) for contributions to cloud computing
  • ACM Senior Member (2008)

Best Publications

  • Internet of Things (IoT): A vision, architectural elements, and future directions

    Jayavardhana Gubbi;Rajkumar Buyya;Slaven Marusic;Marimuthu Palaniswami

  • Cloud computing and emerging IT platforms: Vision, hype, and reality for delivering computing as the 5th utility

    Rajkumar Buyya;Chee Shin Yeo;Srikumar Venugopal;James Broberg

  • CloudSim: a toolkit for modeling and simulation of cloud computing environments and evaluation of resource provisioning algorithms

    Rodrigo N. Calheiros;Rajiv Ranjan;Anton Beloglazov;César A. F. De Rose

  • Energy-aware resource allocation heuristics for efficient management of data centers for Cloud computing

    Anton Beloglazov;Jemal Abawajy;Rajkumar Buyya

  • Market-Oriented Cloud Computing: Vision, Hype, and Reality for Delivering IT Services as Computing Utilities

    R. Buyya;Chee Shin Yeo;S. Venugopal

  • GridSim: a toolkit for the modeling and simulation of distributed resource management and scheduling for Grid computing

    Rajkumar Buyya;M. Manzur Murshed

  • Optimal online deterministic algorithms and adaptive heuristics for energy and performance efficient dynamic consolidation of virtual machines in Cloud data centers

    Anton Beloglazov;Rajkumar Buyya

  • iFogSim: A toolkit for modeling and simulation of resource management techniques in the Internet of Things, Edge and Fog computing environments

    Harshit Gupta;Harshit Gupta;Amir Vahid Dastjerdi;Soumya K. Ghosh;Rajkumar Buyya

  • Cloud Computing: Principles and Paradigms

    Rajkumar Buyya;James Broberg;Andrzej M. Goscinski

  • Modeling and simulation of scalable Cloud computing environments and the CloudSim toolkit: Challenges and opportunities

    Rajkumar Buyya;Rajiv Ranjan;Rodrigo N. Calheiros

  • InterCloud: utility-oriented federation of cloud computing environments for scaling of application services

    Rajkumar Buyya;Rajiv Ranjan;Rodrigo N. Calheiros

  • High Performance Cluster Computing: Architectures and Systems

    Rajkumar Buyya

  • A taxonomy and survey of grid resource management systems for distributed computing

    Klaus Krauter;Rajkumar Buyya;Muthucumaru Maheswaran

  • Nimrod/G: an architecture for a resource management and scheduling system in a global computational grid

    R. Buyya;D. Abramson;J. Giddy

  • Economic models for resource management and scheduling in Grid computing

    Rajkumar Buyya;David A Abramson;Jonathon Giddy;Heinz Stockinger

  • High Performance Cluster Computing

    Rajkumar Buyya

  • Fog Computing: Helping the Internet of Things Realize Its Potential

    Amir Vahid Dastjerdi;Rajkumar Buyya

  • A Taxonomy of Workflow Management Systems for Grid Computing

    Jia Yu;Rajkumar Buyya

  • A framework for ranking of cloud computing services

    Saurabh Kumar Garg;Steve Versteeg;Rajkumar Buyya

  • A Particle Swarm Optimization-Based Heuristic for Scheduling Workflow Applications in Cloud Computing Environments

    Suraj Pandey;Linlin Wu;Siddeswara Mayura Guru;Rajkumar Buyya

Frequent Co-Authors

Rodrigo N. Calheiros
Rodrigo N. Calheiros Western Sydney University
Srikumar Venugopal
Srikumar Venugopal IBM Research - Ireland
Rajiv Ranjan
Rajiv Ranjan Newcastle University
Saurabh Kumar Garg
Saurabh Kumar Garg University of Tasmania
Adel Nadjaran Toosi
Adel Nadjaran Toosi University of Melbourne
Kotagiri Ramamohanarao
Kotagiri Ramamohanarao University of Melbourne
Hai Jin
Hai Jin Huazhong University of Science and Technology
David Abramson
David Abramson University of Queensland
Sukhpal Singh Gill
Sukhpal Singh Gill Queen Mary University of London
S. Sitharama Iyengar
S. Sitharama Iyengar Florida International University

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