World's Best Scientists 2026 revealed!
Sabita Maharjan

Sabita Maharjan

Award Badge
Computer Science
Norway
2026

D-Index & Metrics

Computer Science

D-Index
57
Citations
17086
World Ranking
3766
National Ranking
7

Sabita Maharjan 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 Sabita Maharjan 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: 113 publications — 12th percentile

12% of scientists in this discipline score the same or lower.

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

Sabita Maharjan 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 Sabita Maharjan 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: 57 D-Index — 74th percentile

74% 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 Norway Leader Award
  • 2025 - Research.com Computer Science in Norway Leader Award

Overview

Sabita Maharjan is affiliated with the University of Oslo in Norway and is active in research primarily related to computer science and engineering. Their work contributes to advancing technology in key areas such as Internet of Things (IoT), edge computing, blockchain, and digital industrial applications.

Their recent publications include:

  • Blockchain Empowered Asynchronous Federated Learning for Secure Data Sharing in Internet of Vehicles (2020), IEEE Transactions on Vehicular Technology
  • Vehicular Edge Computing and Networking: A Survey (2020), Mobile Networks and Applications
  • Low-Latency Federated Learning and Blockchain for Edge Association in Digital Twin Empowered 6G Networks (2020), IEEE Transactions on Industrial Informatics
  • Deep Reinforcement Learning for Stochastic Computation Offloading in Digital Twin Networks (2020), IEEE Transactions on Industrial Informatics
  • Communication-Efficient Federated Learning for Digital Twin Edge Networks in Industrial IoT (2020), IEEE Transactions on Industrial Informatics

The frequent coauthors collaborating with Sabita Maharjan include:

  • Yan Zhang
  • Ke Zhang
  • Frank Eliassen
  • Yueyue Dai
  • Hwei-Ming Chung

The main publication venues where their work has been featured are:

  • arXiv (Cornell University)
  • IEEE Internet of Things Journal
  • IEEE Transactions on Vehicular Technology
  • IEEE Transactions on Industrial Informatics
  • IEEE Network

Sabita Maharjan's research spans the following main fields of study:

  • Computer Science
  • Engineering

Within these fields, their work focuses on several subfields including:

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

The primary topics covered by their research include:

  • IoT and Edge/Fog Computing
  • Blockchain Technology Applications and Security
  • Privacy-Preserving Technologies in Data
  • Smart Grid Energy Management
  • Vehicular Ad Hoc Networks (VANETs)
  • Age of Information Optimization
  • Digital Transformation in Industry

Best Publications

  • Enabling Localized Peer-to-Peer Electricity Trading Among Plug-in Hybrid Electric Vehicles Using Consortium Blockchains

    Jiawen Kang;Rong Yu;Xumin Huang;Sabita Maharjan

  • Blockchain and Federated Learning for Privacy-Preserved Data Sharing in Industrial IoT

    Yunlong Lu;Xiaohong Huang;Yueyue Dai;Sabita Maharjan

  • Energy-Efficient Offloading for Mobile Edge Computing in 5G Heterogeneous Networks

    Ke Zhang;Yuming Mao;Supeng Leng;Quanxin Zhao

  • Dependable Demand Response Management in the Smart Grid: A Stackelberg Game Approach

    S. Maharjan;Quanyan Zhu;Yan Zhang;S. Gjessing

  • Blockchain for Secure and Efficient Data Sharing in Vehicular Edge Computing and Networks

    Jiawen Kang;Rong Yu;Xumin Huang;Maoqiang Wu

  • Blockchain Empowered Asynchronous Federated Learning for Secure Data Sharing in Internet of Vehicles

    Yunlong Lu;Xiaohong Huang;Ke Zhang;Sabita Maharjan

  • Vehicular Edge Computing and Networking: A Survey

    Lei Liu;Chen Chen;Qingqi Pei;Sabita Maharjan

  • Joint Load Balancing and Offloading in Vehicular Edge Computing and Networks

    Yueyue Dai;Du Xu;Sabita Maharjan;Yan Zhang

  • Low-Latency Federated Learning and Blockchain for Edge Association in Digital Twin Empowered 6G Networks

    Yunlong Lu;Xiaohong Huang;Ke Zhang;Sabita Maharjan

  • Blockchain and Deep Reinforcement Learning Empowered Intelligent 5G Beyond

    Yueyue Dai;Du Xu;Sabita Maharjan;Zhuang Chen

  • Differentially Private Asynchronous Federated Learning for Mobile Edge Computing in Urban Informatics

    Yunlong Lu;Xiaohong Huang;Yueyue Dai;Sabita Maharjan

  • Joint Computation Offloading and User Association in Multi-Task Mobile Edge Computing

    Yueyue Dai;Du Xu;Sabita Maharjan;Yan Zhang

  • Energy Peer-to-Peer Trading in Virtual Microgrids in Smart Grids: A Game-Theoretic Approach

    Kelvin Anoh;Sabita Maharjan;Augustine Ikpehai;Yan Zhang

  • Optimal delay constrained offloading for vehicular edge computing networks

    Ke Zhang;Yuming Mao;Supeng Leng;Sabita Maharjan

  • Deep Learning Empowered Task Offloading for Mobile Edge Computing in Urban Informatics

    Ke Zhang;Yongxu Zhu;Supeng Leng;Yejun He

  • Artificial Intelligence Empowered Edge Computing and Caching for Internet of Vehicles

    Yueyue Dai;Du Xu;Sabita Maharjan;Guanhua Qiao

  • Deep Reinforcement Learning for Cooperative Content Caching in Vehicular Edge Computing and Networks

    Guanhua Qiao;Supeng Leng;Sabita Maharjan;Yan Zhang

  • Artificial Intelligence for Vehicle-to-Everything: A Survey

    Wang Tong;Azhar Hussain;Wang Xi Bo;Sabita Maharjan

  • Edge Intelligence and Blockchain Empowered 5G Beyond for the Industrial Internet of Things

    Ke Zhang;Yongxu Zhu;Sabita Maharjan;Yan Zhang

  • Mobile Edge Computing and Networking for Green and Low-Latency Internet of Things

    Ke Zhang;Supeng Leng;Yejun He;Sabita Maharjan

  • Communication-Efficient Federated Learning for Digital Twin Edge Networks in Industrial IoT

    Yunlong Lu;Xiaohong Huang;Ke Zhang;Sabita Maharjan

  • Cooperative Content Caching in 5G Networks with Mobile Edge Computing

    Ke Zhang;Supeng Leng;Yejun He;Sabita Maharjan

Frequent Co-Authors

Stein Gjessing
Stein Gjessing University of Oslo
Supeng Leng
Supeng Leng University of Electronic Science and Technology of China
Frank Eliassen
Frank Eliassen University of Oslo
Rong Yu
Rong Yu Guangdong University of Technology
Jiawen Kang
Jiawen Kang Guangdong University of Technology
Shengli Xie
Shengli Xie Guangdong University of Technology
Yejun He
Yejun He Shenzhen University
Jun-ichi Takada
Jun-ichi Takada Tokyo Institute of Technology
Chau Yuen
Chau Yuen Nanyang Technological University
Kai Strunz
Kai Strunz Technical University of Berlin

If you think any of the details on this page are incorrect, let us know.

Report an issue

We appreciate your kind effort to assist us to improve this page, it would be helpful providing us with as much detail as possible in the text box below:

Related Online Degrees & Career Pathways

Exploring diverse online degree options can open up multiple career pathways in the field of Computer Science. For those just starting, earning an associate degree can provide foundational skills and a fast track into entry-level tech roles.

Many students aim for more advanced credentials to enhance their expertise and job prospects. There are a variety of affordable master's degrees online, which offer flexibility for working professionals and can boost specialized skills in areas like data science, cybersecurity, or software engineering.

If your professional journey leads you toward leadership in educational or organizational settings, you may want to consider the affordable doctoral programs in leadership or the best online edd programs. These advanced degrees can prepare you for roles in academia, educational technology, or high-level management.

Online degrees provide flexible, affordable routes to upskill and access a broad array of tech and leadership roles while balancing work and life commitments.

Best Scientists Citing Sabita Maharjan

Trending Scientists

Recently Published Articles