World's Best Scientists 2026 revealed!

D-Index & Metrics

Electronics and Electrical Engineering

D-Index
33
Citations
4268
World Ranking
6112
National Ranking
307

Toktam Mahmoodi 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 Toktam Mahmoodi 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: 165 publications — 19th percentile

19% of scientists in this discipline score the same or lower.

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

Toktam Mahmoodi 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 Toktam Mahmoodi 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: 33 D-Index — 14th percentile

14% of scientists in this discipline score the same or lower.

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

Overview

Toktam Mahmoodi is affiliated with King's College London in the United Kingdom. Their research primarily spans the fields of Computer Science and Engineering, with a significant focus on Computer Networks and Communications, Electrical and Electronic Engineering, and Artificial Intelligence. Other areas of study include Aerospace Engineering and Computer Vision and Pattern Recognition.

The scientist's work concentrates on several key topics including Privacy-Preserving Technologies in Data, Advanced MIMO Systems Optimization, Software-Defined Networks and 5G, IoT and Edge/Fog Computing, Advanced Wireless Communication Technologies, Cooperative Communication and Network Coding, and Wireless Networks and Protocols.

Toktam Mahmoodi has collaborated frequently with several coauthors. These include Κωνσταντίνος Αντωνάκογλου, Yansha Deng, Omar Nassef, Mohammad Ali Khoshkholghi, and Federico Chiariotti.

Their research has been published in a variety of venues, with multiple contributions to arXiv (Cornell University), Computer Networks, IEEE Access, IEEE Internet of Things Journal, and IEEE Communications Magazine.

Recent papers by Toktam Mahmoodi include:

  • "Wireless Distributed Learning: A New Hybrid Split and Federated Learning Approach" (2022), IEEE Transactions on Wireless Communications
  • "A survey: Distributed Machine Learning for 5G and beyond" (2022), Computer Networks
  • "Building a Lane Merge Coordination for Connected Vehicles Using Deep Reinforcement Learning" (2020), IEEE Internet of Things Journal
  • "Energy Efficient User Scheduling for Hybrid Split and Federated Learning in Wireless UAV Networks" (2022), ICC 2022 - IEEE International Conference on Communications
  • "Distributed Intelligence in Wireless Networks" (2023), IEEE Open Journal of the Communications Society

Best Publications

  • IEEE GLOBECOM 2008

    Toktam Mahmoodi;Vasilis Friderikos;Oliver Holland;Hamid Aghvami

  • Toward Haptic Communications Over the 5G Tactile Internet

    Konstantinos Antonakoglou;Xiao Xu;Eckehard Steinbach;Toktam Mahmoodi

  • Business Case and Technology Analysis for 5G Low Latency Applications

    Maria A. Lema;Andres Laya;Toktam Mahmoodi;Maria Cuevas

  • Network slicing management & prioritization in 5G mobile systems

    Menglan Jiang;Massimo Condoluci;Toktam Mahmoodi

  • Network slicing in 5G: An auction-based model

    Menglan Jiang;Massimo Condoluci;Toktam Mahmoodi

  • Haptic Codecs for the Tactile Internet

    Eckehard Steinbach;Matti Strese;Mohamad Eid;Xun Liu

  • Narrowband IoT: A Survey on Downlink and Uplink Perspectives

    Luca Feltrin;Galini Tsoukaneri;Massimo Condoluci;Chiara Buratti

  • Internet of skills, where robotics meets AI, 5G and the Tactile Internet

    Mischa Dohler;Toktam Mahmoodi;Maria A. Lema;Massimo Condoluci

  • Softwarization and virtualization in 5G mobile networks: Benefits, trends and challenges

    Massimo Condoluci;Toktam Mahmoodi

  • Enabling the IoT Machine Age With 5G: Machine-Type Multicast Services for Innovative Real-Time Applications

    Massimo Condoluci;Giuseppe Araniti;Toktam Mahmoodi;Mischa Dohler

  • Wireless Distributed Learning: A New Hybrid Split and Federated Learning Approach

    Unknown

  • QoS-driven function placement reducing expenditures in NFV deployments

    Petra Vizarreta;Massimo Condoluci;Carmen Mas Machuca;Toktam Mahmoodi

  • Energy-Aware Routing in the Cognitive Packet Network

    Erol Gelenbe;Toktam Mahmoodi

  • Soft Resource Reservation for Low-Delayed Teleoperation Over Mobile Networks

    Massimo Condoluci;Toktam Mahmoodi;Eckehard Steinbach;Mischa Dohler

  • Energy Efficient Resource Allocation Strategy for Cloud Data Centres

    Dang Minh Quan;Robert Basmadjian;Hermann De Meer;Ricardo Lent

  • Traffic Jam: Handling the Increasing Volume of Mobile Data Traffic

    Toktam Mahmoodi;Srini Seetharaman

  • On the Feasibility of MAC and PHY Split in Cloud RAN

    Ghizlane Mountaser;Maria Lema Rosas;Toktam Mahmoodi;Mischa Dohler

  • 5G-U: Conceptualizing Integrated Utilization of Licensed and Unlicensed Spectrum for Future IoT

    Xi Lu;Vitaly Petrov;Dmitri Moltchanov;Sergey Andreev

  • Fifth-Generation Technologies for the Connected Car: Capable Systems for Vehicle-to-Anything Communications

    Mikael Fallgren;Markus Dillinger;Jesus Alonso-Zarat;Mate Boban

  • Group Communications in Narrowband-IoT: Architecture, Procedures, and Evaluation

    Galini Tsoukaneri;Massimo Condoluci;Toktam Mahmoodi;Mischa Dohler

  • Energy-aware routing in the Cognitive Packet Network

    Toktam Mahmoodi

  • 2010 IEEE International Conference on Communications (ICC)

    Toktam Mahmoodi;Vasilis Friderikos;Oliver Holland;Hamid Aghvami

  • Cross-Layer Optimization to Maximize Fairness Among TCP Flows of Different TCP Flavors

    T. Mahmoodi;V. Friderikos;O. Holland;H. Aghvami

Frequent Co-Authors

Mischa Dohler
Mischa Dohler King's College London
Hamid Aghvami
Hamid Aghvami King's College London
Tommy Svensson
Tommy Svensson Chalmers University of Technology
Andrea Zanella
Andrea Zanella University of Padua
Giuseppe Araniti
Giuseppe Araniti University of Reggio Calabria
Erol Gelenbe
Erol Gelenbe Institute of Theoretical and Applied Informatics
Norman Jones
Norman Jones University of Liverpool
Matt Field
Matt Field University of Sheffield
Gabor Fodor
Gabor Fodor Ericsson (Sweden)
Eckehard Steinbach
Eckehard Steinbach Technical University of Munich

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