World's Best Scientists 2026 revealed!
Abbas Jamalipour

Abbas Jamalipour

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Computer Science
Australia
2025

D-Index & Metrics

Electronics and Electrical Engineering

D-Index
66
Citations
19325
World Ranking
1131
National Ranking
40

Computer Science

D-Index
66
Citations
19280
World Ranking
2306
National Ranking
71

Abbas Jamalipour publication distribution in Electronics and Electrical Engineering in 2026

The chart shows the distribution of publications by all Research.com ranked scientists in the field of Electronics and Electrical Engineering in 2026. The highlighted bar marks where Abbas Jamalipour sits on this spectrum.

34–53 publications: 24 scientists 54–73 publications: 52 scientists 74–93 publications: 114 scientists 94–113 publications: 203 scientists 114–133 publications: 269 scientists 134–153 publications: 355 scientists 154–173 publications: 403 scientists 174–193 publications: 445 scientists 194–213 publications: 430 scientists 214–233 publications: 431 scientists 234–253 publications: 399 scientists 254–273 publications: 366 scientists 274–293 publications: 335 scientists 294–313 publications: 300 scientists 314–333 publications: 276 scientists 334–353 publications: 250 scientists 354–373 publications: 214 scientists 374–393 publications: 187 scientists 394–413 publications: 152 scientists 414–433 publications: 169 scientists 434–453 publications: 147 scientists 454–473 publications: 111 scientists 474–493 publications: 117 scientists 494–513 publications: 103 scientists 514–533 publications: 99 scientists 534–553 publications: 92 scientists 554–573 publications: 75 scientists 574–593 publications: 58 scientists 594–613 publications: 69 scientists 614–633 publications: 50 scientists 634–653 publications: 62 scientists 654–673 publications: 54 scientists 674–693 publications: 44 scientists 694–713 publications: 37 scientists 714–733 publications: 28 scientists 734–753 publications: 26 scientists 754–773 publications: 26 scientists 774–793 publications: 19 scientists 794–813 publications: 23 scientists 814–833 publications: 20 scientists 834–853 publications: 16 scientists 854–873 publications: 20 scientists 874–893 publications: 11 scientists 894–913 publications: 11 scientists 914–933 publications: 16 scientists 934–953 publications: 13 scientists 954–973 publications: 10 scientists 974–993 publications: 11 scientists 994–1,013 publications: 9 scientists 1,014–1,033 publications: 9 scientists 1,034–1,053 publications: 10 scientists 1,054–1,064 publications: 6 scientists 1,065+ publications: 99 scientists
34 publications 1,065+

This scientist: 622 publications — 91st percentile

91% of scientists in this discipline score the same or lower.

The last bar groups every scientist with 1,065 publications or more.

Abbas Jamalipour D-index placement in Electronics and Electrical Engineering in 2026

The chart shows the D-index (discipline H-index) distribution of Electronics and Electrical Engineering scientists ranked by Research.com in 2026. The highlighted bar marks where Abbas Jamalipour sits on this spectrum.

30 D-Index: 178 scientists 31 D-Index: 257 scientists 32 D-Index: 263 scientists 33 D-Index: 262 scientists 34 D-Index: 244 scientists 35 D-Index: 236 scientists 36 D-Index: 211 scientists 37 D-Index: 220 scientists 38 D-Index: 214 scientists 39 D-Index: 214 scientists 40 D-Index: 205 scientists 41 D-Index: 187 scientists 42 D-Index: 194 scientists 43 D-Index: 201 scientists 44 D-Index: 155 scientists 45 D-Index: 189 scientists 46 D-Index: 148 scientists 47 D-Index: 160 scientists 48 D-Index: 134 scientists 49 D-Index: 130 scientists 50 D-Index: 141 scientists 51 D-Index: 156 scientists 52 D-Index: 108 scientists 53 D-Index: 130 scientists 54 D-Index: 112 scientists 55 D-Index: 97 scientists 56 D-Index: 111 scientists 57 D-Index: 102 scientists 58 D-Index: 108 scientists 59 D-Index: 120 scientists 60 D-Index: 103 scientists 61 D-Index: 93 scientists 62 D-Index: 92 scientists 63 D-Index: 74 scientists 64 D-Index: 77 scientists 65 D-Index: 73 scientists 66 D-Index: 64 scientists 67 D-Index: 69 scientists 68 D-Index: 60 scientists 69 D-Index: 39 scientists 70 D-Index: 57 scientists 71 D-Index: 59 scientists 72 D-Index: 46 scientists 73 D-Index: 49 scientists 74 D-Index: 38 scientists 75 D-Index: 35 scientists 76 D-Index: 32 scientists 77 D-Index: 35 scientists 78 D-Index: 31 scientists 79 D-Index: 22 scientists 80 D-Index: 34 scientists 81 D-Index: 31 scientists 82 D-Index: 34 scientists 83 D-Index: 23 scientists 84 D-Index: 18 scientists 85 D-Index: 30 scientists 86 D-Index: 19 scientists 87 D-Index: 19 scientists 88 D-Index: 20 scientists 89 D-Index: 8 scientists 90 D-Index: 17 scientists 91 D-Index: 7 scientists 92 D-Index: 14 scientists 93 D-Index: 9 scientists 94 D-Index: 15 scientists 95 D-Index: 10 scientists 96 D-Index: 12 scientists 97 D-Index: 10 scientists 98 D-Index: 10 scientists 99 D-Index: 12 scientists 100 D-Index: 16 scientists 101 D-Index: 5 scientists 102 D-Index: 7 scientists 103 D-Index: 7 scientists 104 D-Index: 8 scientists 105 D-Index: 9 scientists 106 D-Index: 13 scientists 107 D-Index: 4 scientists 108 D-Index: 5 scientists 109 D-Index: 10 scientists 110 D-Index: 8 scientists 111+ D-Index: 96 scientists
30 D-Index 111+

This scientist: 66 D-Index — 84th percentile

84% of scientists in this discipline score the same or lower.

The last bar groups every scientist with 111 D-Index or more.

Research.com Recognitions

  • 2025 - Research.com Computer Science in Australia Leader Award
  • 2022 - Research.com Computer Science in Australia Leader Award
  • 2007 - IEEE Fellow For contributions to next generation networks for traffic control

Overview

Abbas Jamalipour is affiliated with the University of Sydney in Australia and has established a significant presence in the fields of engineering and computer science. Their research contributions span multiple subfields, notably electrical and electronic engineering, computer networks and communications, aerospace engineering, artificial intelligence, and information systems.

The primary focus areas of Abbas Jamalipour's work include advanced wireless communication technologies, UAV applications and optimization, IoT and edge/fog computing, advanced MIMO systems optimization, energy harvesting in wireless networks, satellite communication systems, and privacy-preserving technologies in data.

They have published extensively across several venues, with the most frequent including arXiv (Cornell University), IEEE Internet of Things Journal, IEEE Transactions on Vehicular Technology, IEEE Access, and Journal of Communications and Networks.

  • arXiv (Cornell University)
  • IEEE Internet of Things Journal
  • IEEE Transactions on Vehicular Technology
  • IEEE Access
  • Journal of Communications and Networks

A selection of recent papers authored or co-authored by Abbas Jamalipour indicates involvement in topics related to mobile networks, energy efficiency, reinforcement learning, and IoT:

  • "Unleashing the Power of Edge-Cloud Generative AI in Mobile Networks: A Survey of AIGC Services" (2024) published in IEEE Communications Surveys & Tutorials
  • "Optimized Energy and Information Relaying in Self-Sustainable IRS-Empowered WPCN" (2020) published in IEEE Transactions on Communications
  • "Federated Multi-Agent Deep Reinforcement Learning for Resource Allocation of Vehicle-to-Vehicle Communications" (2022) published in IEEE Transactions on Vehicular Technology
  • "Internet of Things 2.0: Concepts, Applications, and Future Directions" (2021) published in IEEE Access
  • "Joint Optimization of UAV 3-D Placement and Path-Loss Factor for Energy-Efficient Maximal Coverage" (2020) published in IEEE Internet of Things Journal

Abbas Jamalipour has collaborated frequently with several researchers across their publications, including Dusit Niyato, Wei Ni, Hongyang Du, Jiawen Kang, and Zehui Xiong.

  • Dusit Niyato
  • Wei Ni
  • Hongyang Du
  • Jiawen Kang
  • Zehui Xiong

In recognition of their contributions to next-generation networks for traffic control, Abbas Jamalipour was named an IEEE Fellow in 2007.

Best Publications

  • Wireless Body Area Networks: A Survey

    Samaneh Movassaghi;Mehran Abolhasan;Justin Lipman;David B. Smith

  • Modeling air-to-ground path loss for low altitude platforms in urban environments

    Akram Al-Hourani;Sithamparanathan Kandeepan;Abbas Jamalipour

  • Wireless Sensor Networks: A Networking Perspective

    Jun Zheng;Abbas Jamalipour

  • A survey of routing attacks in mobile ad hoc networks

    B. Kannhavong;H. Nakayama;Y. Nemoto;N. Kato

  • Detecting Blackhole Attack on AODV-based Mobile Ad Hoc Networks by Dynamic Learning Method.

    Satoshi Kurosawa;Hidehisa Nakayama;Nei Kato;Abbas Jamalipour

  • Network selection in an integrated wireless LAN and UMTS environment using mathematical modeling and computing techniques

    Qingyang Song;A. Jamalipour

  • A Stable Routing Protocol to Support ITS Services in VANET Networks

    T. Taleb;E. Sakhaee;A. Jamalipour;K. Hashimoto

  • IEEE 802.11n MAC frame aggregation mechanisms for next-generation high-throughput WLANs

    D. Skordoulis;Qiang Ni;Hsiao-Hwa Chen;A.P. Stephens

  • A network selection mechanism for next generation networks

    Qingyang Song;A. Jamalipour

  • Machine Learning Inspired Sound-Based Amateur Drone Detection for Public Safety Applications

    Muhammad Zohaib Anwar;Zeeshan Kaleem;Abbas Jamalipour

  • Explicit Load Balancing Technique for NGEO Satellite IP Networks With On-Board Processing Capabilities

    T. Taleb;D. Mashimo;A. Jamalipour;N. Kato

  • A tutorial on multiple access technologies for beyond 3G mobile networks

    A. Jamalipour;T. Wada;T. Yamazato

  • Optimized Energy and Information Relaying in Self-Sustainable IRS-Empowered WPCN

    Bin Lyu;Parisa Ramezani;Dinh Thai Hoang;Shimin Gong

  • A Dynamic Anomaly Detection Scheme for AODV-Based Mobile Ad Hoc Networks

    H. Nakayama;S. Kurosawa;A. Jamalipour;Y. Nemoto

  • Federated Multi-Agent Deep Reinforcement Learning for Resource Allocation of Vehicle-to-Vehicle Communications

    Unknown

  • The Global In-Flight Internet

    E. Sakhaee;A. Jamalipour

  • Low Earth Orbital Satellites for Personal Communication Networks

    Abbas Jamalipour

  • Aeronautical ad hoc networks

    E. Sakhaee;A. Jamalipour;Nei Kato

  • Toward the Evolution of Wireless Powered Communication Networks for the Future Internet of Things

    Parisa Ramezani;Abbas Jamalipour

  • Multi-Agent DRL-based Hungarian Algorithm (MADRLHA) for Task Offloading in Multi-Access Edge Computing Internet of Vehicles (IoVs)

    Unknown

  • Fault-resilient sensing in wireless sensor networks

    Hidehisa Nakayama;Nirwan Ansari;Abbas Jamalipour;Nei Kato

  • Exploring the routing strategies in next-generation satellite networks

    F. Alagoz;O. Korcak;A. Jamalipour

  • An efficient vehicle-heading based routing protocol for VANET networks

    T. Taleb;M. Ochi;A. Jamalipour;Nei Kato

Frequent Co-Authors

Nei Kato
Nei Kato Tohoku University
Lei Guo
Lei Guo Beijing University of Posts and Telecommunications
John Canning
John Canning University of Technology Sydney
Mehran Abolhasan
Mehran Abolhasan University of Technology Sydney
Tarik Taleb
Tarik Taleb Ruhr University Bochum
Shiqiang Wang
Shiqiang Wang University of Exeter
Pascal Lorenz
Pascal Lorenz University of Upper Alsace
Wei Ni
Wei Ni Edith Cowan University
Zhiguo Ding
Zhiguo Ding Nanyang Technological University
Hsiao-Hwa Chen
Hsiao-Hwa Chen National Cheng Kung University

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