World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
48
Citations
12747
World Ranking
6073
National Ranking
188

Aruna Seneviratne 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 Aruna Seneviratne 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: 318 publications — 77th percentile

77% of scientists in this discipline score the same or lower.

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

Aruna Seneviratne 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 Aruna Seneviratne 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: 48 D-Index — 58th percentile

58% of scientists in this discipline score the same or lower.

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

Overview

Aruna Seneviratne is affiliated with the University of New South Wales in Australia. Their research focuses primarily on computer science and engineering, with a total of 126 publications in computer science and 73 in engineering. Their subfields of study span electrical and electronic engineering, artificial intelligence, information systems, computer networks and communications, and sociology and political science.

The scientist's research topics cover a broad range of areas, emphasizing emerging technologies and security aspects. Key topics include:

  • Privacy-Preserving Technologies in Data
  • Blockchain Technology Applications and Security
  • Indoor and Outdoor Localization Technologies
  • IoT and Edge/Fog Computing
  • Energy Harvesting in Wireless Networks
  • Cryptography and Data Security
  • Wireless Networks and Protocols

Publication venues where Aruna Seneviratne frequently contributes include:

  • arXiv (Cornell University)
  • IEEE Internet of Things Journal
  • Energies
  • IEEE Access
  • Proceedings of the ACM on Interactive Mobile Wearable and Ubiquitous Technologies

Among recent papers authored or coauthored by the scientist are:

  • "6G Internet of Things: A Comprehensive Survey" (2021), published in IEEE Internet of Things Journal
  • "Federated Learning for Smart Healthcare: A Survey" (2022), published in ACM Computing Surveys
  • "A Survey of COVID-19 Contact Tracing Apps" (2020), published in IEEE Access
  • "Blockchain for 5G and beyond networks: A state of the art survey" (2020), published in Journal of Network and Computer Applications
  • "Integration of Blockchain and Cloud of Things: Architecture, Applications and Challenges" (2020), published in IEEE Communications Surveys & Tutorials

Frequent co-authors working collaboratively with Aruna Seneviratne include Deepak Mishra, Pubudu N. Pathirana, Dinh C. Nguyen, Ming Ding, and Aryan Sharma. They have a history of publishing multiple works with these collaborators, reflecting sustained research partnerships.

Best Publications

  • Federated Learning for Internet of Things: A Comprehensive Survey

    Dinh C. Nguyen;Ming Ding;Pubudu N. Pathirana;Aruna Seneviratne

  • 6G Internet of Things: A Comprehensive Survey

    Dinh C. Nguyen;Ming Ding;Pubudu N. Pathirana;Aruna Seneviratne

  • Federated Learning for Smart Healthcare: A Survey

    Unknown

  • A Survey of Wearable Devices and Challenges

    Suranga Seneviratne;Yining Hu;Tham Nguyen;Guohao Lan

  • A Survey of COVID-19 Contact Tracing Apps

    Nadeem Ahmed;Regio A. Michelin;Wanli Xue;Sushmita Ruj

  • Blockchain for Secure EHRs Sharing of Mobile Cloud Based E-Health Systems

    Dinh C. Nguyen;Pubudu N. Pathirana;Ming Ding;Aruna Seneviratne

  • S-MIP: a seamless handoff architecture for mobile IP

    R. Hsieh;Z.G. Zhou;A. Seneviratne

  • Blockchain for 5G and beyond networks: A state of the art survey

    Dinh C. Nguyen;Pubudu N. Pathirana;Ming Ding;Aruna Seneviratne

  • Privacy-Preserved Task Offloading in Mobile Blockchain With Deep Reinforcement Learning

    Dinh C. Nguyen;Pubudu N. Pathirana;Ming Ding;Aruna Seneviratne

  • Integration of Blockchain and Cloud of Things: Architecture, Applications and Challenges

    Dinh C. Nguyen;Pubudu N. Pathirana;Ming Ding;Aruna Seneviratne

  • Blockchain and AI-Based Solutions to Combat Coronavirus (COVID-19)-Like Epidemics: A Survey

    Dinh C. Nguyen;Ming Ding;Pubudu N. Pathirana;Aruna Seneviratne

  • Survey on network mobility support

    Eranga Perera;Vijay Sivaraman;Aruna Seneviratne

  • Security and Privacy Approaches in Mixed Reality: A Literature Survey

    Jaybie A. De Guzman;Kanchana Thilakarathna;Aruna Seneviratne

  • Ubicomp 2007: Ubiquitous Computing

    John Krumm;Gregory D. Abowd;Aruna Seneviratne;Thomas Strang

  • Predicting user traits from a snapshot of apps installed on a smartphone

    Suranga Seneviratne;Aruna Seneviratne;Prasant Mohapatra;Anirban Mahanti

  • BreathPrint: Breathing Acoustics-based User Authentication

    Jagmohan Chauhan;Yining Hu;Suranga Seneviratne;Archan Misra

  • Enabling AI in Future Wireless Networks: A Data Life Cycle Perspective

    Dinh C. Nguyen;Peng Cheng;Ming Ding;David Lopez-Perez

  • HARKE: Human Activity Recognition from Kinetic Energy Harvesting Data in Wearable Devices

    Sara Khalifa;Guohao Lan;Mahbub Hassan;Aruna Seneviratne

  • BEdgeHealth: A Decentralized Architecture for Edge-Based IoMT Networks Using Blockchain

    Dinh C. Nguyen;Pubudu N. Pathirana;Ming Ding;Aruna Seneviratne

  • Performance analysis on hierarchical Mobile IPv6 with fast-handoff over end-to-end TCP

    R. Hsieh;A. Seneviratne;H. Soliman;K. El-Malki

  • CSI-MIMO: Indoor Wi-Fi fingerprinting system

    Yogita Chapre;Aleksandar Ignjatovic;Aruna Seneviratne;Sanjay Jha

  • A comparison of mechanisms for improving mobile IP handoff latency for end-to-end TCP

    Robert Hsieh;Aruna Seneviratne

  • Received signal strength indicator and its analysis in a typical WLAN system (short paper)

    Yogita Chapre;Prasant Mohapatra;Sanjay Jha;Aruna Seneviratne

Frequent Co-Authors

Pubudu N. Pathirana
Pubudu N. Pathirana Deakin University
Sanjay Jha
Sanjay Jha University of New South Wales
Mahbub Hassan
Mahbub Hassan University of Sydney
Prasant Mohapatra
Prasant Mohapatra University of South Florida
Ming Ding
Ming Ding Commonwealth Scientific and Industrial Research Organisation
Wen Hu
Wen Hu University of New South Wales
Mohamed Ali Kaafar
Mohamed Ali Kaafar Macquarie University
H. Vincent Poor
H. Vincent Poor Princeton University
Jun Li
Jun Li Nanjing University of Science and Technology

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