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Rising Stars
2025

D-Index & Metrics

Rising Stars

D-Index
49
Citations
17035
World Ranking
337
National Ranking
57

Electronics and Electrical Engineering

D-Index
51
Citations
19355
World Ranking
2580
National Ranking
984

Ahmed Alkhateeb 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 Ahmed Alkhateeb 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: 122 publications — 7th percentile

7% of scientists in this discipline score the same or lower.

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

Ahmed Alkhateeb 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 Ahmed Alkhateeb 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: 51 D-Index — 63rd percentile

63% 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 Rising Stars Award

Overview

Ahmed Alkhateeb is affiliated with Arizona State University in the United States and has a significant research portfolio in engineering, particularly electrical and electronic engineering.

Their recent papers include:

  • Design and Evaluation of Reconfigurable Intelligent Surfaces in Real-World Environment (2022, IEEE Open Journal of the Communications Society)
  • Deep Transfer Learning-Based Downlink Channel Prediction for FDD Massive MIMO Systems (2020, IEEE Transactions on Communications)
  • DeepSense 6G: A Large-Scale Real-World Multi-Modal Sensing and Communication Dataset (2023, IEEE Communications Magazine)
  • Hybrid Blockchain Platforms for the Internet of Things (IoT): A Systematic Literature Review (2022, Sensors)
  • Integrated Sensing and Communication for 6G: Ten Key Machine Learning Roles (2023, IEEE Communications Magazine)

The scientist frequently publishes in venues such as:

  • arXiv (Cornell University)
  • IEEE Transactions on Wireless Communications
  • IEEE Transactions on Communications
  • IEEE Open Journal of the Communications Society
  • IEEE Wireless Communications Letters

Frequent co-authors in their work include:

  • Gouranga Charan
  • Muhammad Alrabeiah
  • Umut Demirhan
  • Shuaifeng Jiang
  • Tawfik Osman

The main field of study for Ahmed Alkhateeb is engineering, with a total of 336 publications. Their subfields of study emphasize:

  • Electrical and Electronic Engineering
  • Aerospace Engineering
  • Computer Networks and Communications
  • Computer Vision and Pattern Recognition
  • Artificial Intelligence

Key topics addressed in this researcher's body of work include:

  • Millimeter-Wave Propagation and Modeling
  • Advanced MIMO Systems Optimization
  • Indoor and Outdoor Localization Technologies
  • Microwave Engineering and Waveguides
  • Advanced Wireless Communication Technologies
  • Antenna Design and Analysis
  • Antenna Design and Optimization

Best Publications

  • Channel Estimation and Hybrid Precoding for Millimeter Wave Cellular Systems

    Ahmed Alkhateeb;Omar El Ayach;Geert Leus;Robert W. Heath

  • Wireless Communications and Applications Above 100 GHz: Opportunities and Challenges for 6G and Beyond

    Theodore S. Rappaport;Yunchou Xing;Ojas Kanhere;Shihao Ju

  • Limited Feedback Hybrid Precoding for Multi-User Millimeter Wave Systems

    Ahmed Alkhateeb;Geert Leus;Robert W. Heath

  • Hybrid MIMO Architectures for Millimeter Wave Communications: Phase Shifters or Switches?

    Roi Mendez-Rial;Cristian Rusu;Nuria Gonzalez-Prelcic;Ahmed Alkhateeb

  • Modeling and Analyzing Millimeter Wave Cellular Systems

    Jeffrey G. Andrews;Tianyang Bai;Mandar N. Kulkarni;Ahmed Alkhateeb

  • MIMO Precoding and Combining Solutions for Millimeter-Wave Systems

    Ahmed Alkhateeb;Jianhua Mo;Nuria Gonzalez-Prelcic;Robert W. Heath

  • Enabling Large Intelligent Surfaces With Compressive Sensing and Deep Learning

    Abdelrahman Taha;Muhammad Alrabeiah;Ahmed Alkhateeb

  • Frequency Selective Hybrid Precoding for Limited Feedback Millimeter Wave Systems

    Ahmed Alkhateeb;Robert W. Heath

  • Deep Learning Coordinated Beamforming for Highly-Mobile Millimeter Wave Systems

    Ahmed Alkhateeb;Sam Alex;Paul Varkey;Ying Li

  • Dynamic Subarrays for Hybrid Precoding in Wideband mmWave MIMO Systems

    Sungwoo Park;Ahmed Alkhateeb;Robert W. Heath

  • Coverage and capacity of millimeter-wave cellular networks

    Tianyang Bai;Ahmed Alkhateeb;Robert W Heath

  • Channel Estimation for Hybrid Architecture-Based Wideband Millimeter Wave Systems

    Kiran Venugopal;Ahmed Alkhateeb;Nuria Gonzalez Prelcic;Robert W. Heath

  • Hybrid precoding for millimeter wave cellular systems with partial channel knowledge

    A. Alkhateeb;O. El Ayach;G. Leus;Robert W. Heath

  • Compressed sensing based multi-user millimeter wave systems: How many measurements are needed?

    Ahmed Alkhateeby;Geert Leusz;Robert W. Heath

  • Deep Reinforcement Learning for 5G Networks: Joint Beamforming, Power Control, and Interference Coordination

    Faris B. Mismar;Brian L. Evans;Ahmed Alkhateeb

  • Hybrid Architectures With Few-Bit ADC Receivers: Achievable Rates and Energy-Rate Tradeoffs

    Jianhua Mo;Ahmed Alkhateeb;Shadi Abu-Surra;Robert W. Heath

  • Channel estimation and hybrid combining for mmWave: Phase shifters or switches?

    Roi Mendez-Rial;Cristian Rusu;Ahmed Alkhateeb;Nuria Gonzalez-Prelcic

  • DeepMIMO: A Generic Deep Learning Dataset for Millimeter Wave and Massive MIMO Applications.

    Ahmed Alkhateeb

  • Deep Learning for mmWave Beam and Blockage Prediction Using Sub-6 GHz Channels

    Muhammad Alrabeiah;Ahmed Alkhateeb

  • DeepSense 6G: A Large-Scale Real-World Multi-Modal Sensing and Communication Dataset

    Unknown

  • Millimeter Wave Energy Harvesting

    Talha Ahmed Khan;Ahmed Alkhateeb;Robert W. Heath

Frequent Co-Authors

Robert W. Heath
Robert W. Heath University of California, San Diego
Feifei Gao
Feifei Gao Tsinghua University
Geert Leus
Geert Leus Delft University of Technology
Jeffrey G. Andrews
Jeffrey G. Andrews The University of Texas at Austin
Brian L. Evans
Brian L. Evans The University of Texas at Austin
Young-Han Nam
Young-Han Nam Samsung (United States)
Jianzhong Zhang
Jianzhong Zhang Samsung (United States)
Chaitali Chakrabarti
Chaitali Chakrabarti Arizona State University
Xiaoming Tao
Xiaoming Tao Hong Kong Polytechnic University
Cihan Tepedelenlioglu
Cihan Tepedelenlioglu Arizona State University

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