World's Best Scientists 2026 revealed!

D-Index & Metrics

Electronics and Electrical Engineering

D-Index
67
Citations
21397
World Ranking
1060
National Ranking
49

Computer Science

D-Index
67
Citations
21288
World Ranking
2170
National Ranking
123

Rahim Tafazolli 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 Rahim Tafazolli 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: 1,036 publications — 98th percentile

98% of scientists in this discipline score the same or lower.

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

Rahim Tafazolli 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 Rahim Tafazolli 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: 67 D-Index — 85th percentile

85% 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

  • 2020 - Fellow of the Royal Academy of Engineering (UK)

Overview

Rahim Tafazolli is affiliated with the University of Surrey in the United Kingdom and specializes in fields related to engineering and computer science. Their research spans across electrical and electronic engineering, aerospace engineering, computer networks and communications, artificial intelligence, and information systems.

Their academic contributions focus on several main topics, including:

  • Advanced MIMO Systems Optimization
  • Antenna Design and Analysis
  • Advanced Wireless Communication Technologies
  • Advanced Antenna and Metasurface Technologies
  • Millimeter-Wave Propagation and Modeling
  • Energy Harvesting in Wireless Networks
  • Satellite Communication Systems

Rahim Tafazolli has published extensively in various venues. The most frequent publication platforms include:

  • arXiv (Cornell University)
  • IEEE Transactions on Wireless Communications
  • IEEE Access
  • IEEE Transactions on Vehicular Technology
  • IEEE Transactions on Communications

Among their recent papers are:

  • "Towards 6G wireless communication networks: vision, enabling technologies, and new paradigm shifts," 2020, Science China Information Sciences
  • "Terahertz Channel Propagation Phenomena, Measurement Techniques and Modeling for 6G Wireless Communication Applications: A Survey, Open Challenges and Future Research Directions," 2022, IEEE Communications Surveys & Tutorials
  • "Reconfigurable Intelligent Surface (RIS) in the Sub-6 GHz Band: Design, Implementation, and Real-World Demonstration," 2022, IEEE Access
  • "Fed-IIoT: A Robust Federated Malware Detection Architecture in Industrial IoT," 2020, IEEE Transactions on Industrial Informatics
  • "Sub-6 GHz Dual-Band 8 × 8 MIMO Antenna for 5G Smartphones," 2020, IEEE Antennas and Wireless Propagation Letters

Frequent collaborators include Mohsen Khalily, Pei Xiao, Yi Ma, Mohammad Shojafar, and Gaojie Chen.

Among notable recognitions, Rahim Tafazolli was awarded the status of Fellow of the Royal Academy of Engineering (UK) in 2020.

Best Publications

  • Towards 6G wireless communication networks: vision, enabling technologies, and new paradigm shifts

    Xiaohu You;Cheng-Xiang Wang;Jie Huang;Xiqi Gao

  • Novel Low-Density Signature for Synchronous CDMA Systems Over AWGN Channel

    R. Hoshyar;F.P. Wathan;R. Tafazolli

  • 5G Backhaul Challenges and Emerging Research Directions: A Survey

    Mona Jaber;Muhammad Ali Imran;Rahim Tafazolli;Anvar Tukmanov

  • Uplink non-orthogonal multiple access for 5G wireless networks

    Mohammed Al-Imari;Pei Xiao;Muhammad Ali Imran;Rahim Tafazolli

  • A survey of QoS routing solutions for mobile ad hoc networks

    Lajos Hanzo;Rahim Tafazolli

  • On the relaying capability of next-generation GSM cellular networks

    G. Neonakis Aggelou;R. Tafazolli

  • An Energy-Efficient Clustering Solution for Wireless Sensor Networks

    Dali Wei;Yichao Jin;S. Vural;K. Moessner

  • Analytical Study of the IEEE 802.11p MAC Sublayer in Vehicular Networks

    Chong Han;M. Dianati;R. Tafazolli;R. Kernchen

  • Reconfigurable Intelligent Surface (RIS) in the Sub-6 GHz Band: Design, Implementation, and Real-World Demonstration

    Unknown

  • Terahertz Channel Propagation Phenomena, Measurement Techniques and Modeling for 6G Wireless Communication Applications: A Survey, Open Challenges and Future Research Directions

    Unknown

  • Enabling Massive IoT in 5G and Beyond Systems: PHY Radio Frame Design Considerations

    Ayesha Ijaz;Lei Zhang;Maxime Grau;Abdelrahim Mohamed

  • Broadband mm-Wave Microstrip Array Antenna With Improved Radiation Characteristics for Different 5G Applications

    Mohsen Khalily;Rahim Tafazolli;Pei Xiao;Ahmed A. Kishk

  • Dynamic spectrum allocation in composite reconfigurable wireless networks

    P. Leaves;K. Moessner;R. Tafazolli;D. Grandblaise

  • RDMAR: a bandwidth-efficient routing protocol for mobile ad hoc networks

    George Aggelou;Rahim Tafazolli

  • On the Energy Efficiency-Spectral Efficiency Trade-off over the MIMO Rayleigh Fading Channel

    Fabien Heliot;Muhammad Ali Imran;Rahim Tafazolli

  • Network Coding Theory: A Survey

    Riccardo Bassoli;Hugo Marques;Jonathan Rodriguez;Kenneth W. Shum

  • Fed-IIoT: A Robust Federated Malware Detection Architecture in Industrial IoT

    Rahim Taheri;Mohammad Shojafar;Mamoun Alazab;Rahim Tafazolli

  • On Interference Avoidance Through Inter-Cell Interference Coordination (ICIC) Based on OFDMA Mobile Systems

    Chrysovalantis Kosta;Bernard Hunt;Atta Ui Quddus;Rahim Tafazolli

  • On the Evolution of Multi-Cell Scheduling in 3GPP LTE / LTE-A

    Emmanouil Pateromichelakis;Mehrdad Shariat;Atta ul Quddus;Rahim Tafazolli

  • A survey on smartphone-based systems for opportunistic user context recognition

    Seyed Amir Hoseini-Tabatabaei;Alexander Gluhak;Rahim Tafazolli

  • Massive MIMO Performance With Imperfect Channel Reciprocity and Channel Estimation Error

    De Mi;Mehrdad Dianati;Lei Zhang;Sami Muhaidat

  • Filtered OFDM Systems, Algorithms, and Performance Analysis for 5G and Beyond

    Lei Zhang;Ayesha Ijaz;Pei Xiao;Mehdi M. Molu

  • Shared Backup Network Provision for Virtual Network Embedding

    Tao Guo;Ning Wang;Klaus Moessner;Rahim Tafazolli

  • Quality of service for multimedia CDMA

    N. Dimitriou;R. Tafazolli;G. Sfikas

Frequent Co-Authors

Barry G. Evans
Barry G. Evans University of Surrey
Pei Xiao
Pei Xiao University of Surrey
Klaus Moessner
Klaus Moessner University of Surrey
Jonathan Rodriguez
Jonathan Rodriguez Instituto de Telecomunicações
Mehrdad Dianati
Mehrdad Dianati Queen's University Belfast
Mohsen Khalily
Mohsen Khalily University of Surrey
Lei Zhang
Lei Zhang University of Glasgow
Payam Barnaghi
Payam Barnaghi Imperial College London
Chuan Heng Foh
Chuan Heng Foh University of Surrey
Lajos Hanzo
Lajos Hanzo University of Southampton

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Related Online Degrees & Career Pathways

For those interested in expanding their expertise beyond traditional Electronics and Electrical Engineering, several related online degrees offer flexible and specialized options. For instance, earning a bachelor degree in project management can be valuable for engineers aiming to lead and manage technology projects effectively.

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For professionals focusing on education and training within the engineering field, pursuing one of the best online teaching master's programs can enhance their instructional design skills. This is especially useful for those who wish to contribute to educational initiatives or corporate training in technology sectors.

Finally, best competency-based colleges offer degree programs that assess skills and knowledge mastery over time spent in class. This methodology benefits electronic and electrical engineers by allowing them to progress based on demonstrated competencies, making education more personalized and efficient.

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