World's Best Scientists 2026 revealed!

D-Index & Metrics

Electronics and Electrical Engineering

D-Index
38
Citations
5635
World Ranking
4936
National Ranking
1718

Computer Science

D-Index
38
Citations
5709
World Ranking
10287
National Ranking
4315

M. Cenk Gursoy 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 M. Cenk Gursoy 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: 376 publications — 71st percentile

71% of scientists in this discipline score the same or lower.

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

M. Cenk Gursoy 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 M. Cenk Gursoy 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: 38 D-Index — 30th percentile

30% of scientists in this discipline score the same or lower.

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

Overview

M. Cenk Gursoy is a researcher affiliated with Syracuse University in the United States. Their work spans multiple fields within engineering and computer science, with a focus on electrical and electronic engineering as well as computer networks and communications. Their research interests include UAV applications and optimization, advanced MIMO systems optimization, and advanced wireless communication technologies, among others.

Gursoy's recent publications reflect a concentration on wireless communication systems, network optimization, and artificial intelligence techniques applied to these domains. Selected recent papers include:

  • Deep Reinforcement Learning-Based Edge Caching in Wireless Networks (2020), published in IEEE Transactions on Cognitive Communications and Networking
  • Learning-Based UAV Path Planning for Data Collection With Integrated Collision Avoidance (2022), published in IEEE Internet of Things Journal
  • Joint Activity Detection and Channel Estimation in Cell-Free Massive MIMO Networks With Massive Connectivity (2021), published in IEEE Transactions on Communications
  • Covert Communication of STAR-RIS Aided NOMA Networks (2024), published in IEEE Transactions on Vehicular Technology
  • Dynamic Channel Access and Power Control in Wireless Interference Networks via Multi-Agent Deep Reinforcement Learning (2021), published in IEEE Transactions on Vehicular Technology

Collaborative work is a prominent feature of their research, often partnering with other scholars. Frequent coauthors with a significant number of joint publications include Senem Velipasalar, Xueyuan Wang, Chen Zhong, Feng Wang, and Yulin Hu.

The primary venues where Gursoy publishes include:

  • arXiv (Cornell University)
  • IEEE Transactions on Vehicular Technology
  • IEEE Transactions on Wireless Communications
  • IEEE Transactions on Communications
  • 2021 IEEE Global Communications Conference (GLOBECOM)

The range of topics covered across the publications extends into several specialized subfields. These subfields of study incorporate:

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

Key thematic focal points in their research include:

  • UAV Applications and Optimization
  • Advanced MIMO Systems Optimization
  • Advanced Wireless Communication Technologies
  • Distributed Control Multi-Agent Systems
  • Cooperative Communication and Network Coding
  • Energy Harvesting in Wireless Networks
  • Robotic Path Planning Algorithms

Best Publications

  • A deep reinforcement learning based framework for power-efficient resource allocation in cloud RANs

    Zhiyuan Xu;Yanzhi Wang;Jian Tang;Jing Wang

  • A deep reinforcement learning-based framework for content caching

    Chen Zhong;M. Cenk Gursoy;Senem Velipasalar

  • Deep Reinforcement Learning based Resource Allocation in Low Latency Edge Computing Networks

    Tianyu Yang;Yulin Hu;M. Cenk Gursoy;Anke Schmeink

  • The noncoherent rician fading Channel-part I: structure of the capacity-achieving input

    M.C. Gursoy;H.V. Poor;S. Verdu

  • Deep Reinforcement Learning-Based Edge Caching in Wireless Networks

    Chen Zhong;M. Cenk Gursoy;Senem Velipasalar

  • Coverage in Heterogeneous Downlink Millimeter Wave Cellular Networks

    Esma Turgut;M. Cenk Gursoy

  • Analysis of energy efficiency in fading channels under QoS constraints

    M.C. Gursoy;Deli Qiao;S. Velipasalar

  • SWIPT-Enabled Relaying in IoT Networks Operating With Finite Blocklength Codes

    Yulin Hu;Yao Zhu;M. Cenk Gursoy;Anke Schmeink

  • Effective Capacity Analysis of Cognitive Radio Channels for Quality of Service Provisioning

    Unknown

  • Collaborative Relay Beamforming for Secrecy

    Unknown

  • A Deep Actor-Critic Reinforcement Learning Framework for Dynamic Multichannel Access

    Chen Zhong;Ziyang Lu;M. Cenk Gursoy;Senem Velipasalar

  • Relay beamforming strategies for physical-layer security

    Unknown

  • Downlink Analysis in Unmanned Aerial Vehicle (UAV) Assisted Cellular Networks With Clustered Users

    Esma Turgut;M. Cenk Gursoy

  • Effective Capacity of Two-Hop Wireless Communication Systems

    Deli Qiao;M. C. Gursoy;S. Velipasalar

  • Throughput of Cognitive Radio Systems with Finite Blocklength Codes

    Gozde Ozcan;M. Cenk Gursoy

  • Relaying-Enabled Ultra-Reliable Low-Latency Communications in 5G

    Yulin Hu;M. Cenk Gursoy;Anke Schmeink

  • Throughput analysis of buffer-constrained wireless systems in the finite blocklength regime

    M Cenk Gursoy

  • On the Capacity and Energy Efficiency of Training-Based Transmissions Over Fading Channels

    Unknown

  • On-off frequency-shift keying for wideband fading channels

    Mustafa Cenk Gursoy;H. Vincent Poor;Sergio Verdú

  • Noncoherent Rician fading Channel-part II: spectral efficiency in the low-power regime

    M.C. Gursoy;H.V. Poor;S. Verdu

  • Optimal Power Allocation for QoS-Constrained Downlink Multi-User Networks in the Finite Blocklength Regime

    Yulin Hu;Mustafa Ozmen;M. Cenk Gursoy;Anke Schmeink

  • Energy-Efficient Power Allocation in Cognitive Radio Systems With Imperfect Spectrum Sensing

    Gozde Ozcan;M. Cenk Gursoy;Nghi Tran;Jian Tang

  • Coverage Analysis for Energy-Harvesting UAV-Assisted mmWave Cellular Networks

    Xueyuan Wang;M. Cenk Gursoy

  • Wireless Throughput and Energy Efficiency With Random Arrivals and Statistical Queuing Constraints

    Mustafa Ozmen;M. Cenk Gursoy

  • Coverage in Downlink Heterogeneous mmWave Cellular Networks With User-Centric Small Cell Deployment

    Xueyuan Wang;Esma Turgut;M. Cenk Gursoy

  • Deep Multi-Agent Reinforcement Learning Based Cooperative Edge Caching in Wireless Networks

    Chen Zhong;M. Cenk Gursoy;Senem Velipasalar

  • NOMA-Based Energy-Efficient Wireless Powered Communications

    Tewodros Aklilu Zewde;M. Cenk Gursoy

  • Error Rate Analysis of Cognitive Radio Transmissions with Imperfect Channel Sensing

    Gozde Ozcan;M. Cenk Gursoy;Sinan Gezici

  • Deep Actor-Critic Reinforcement Learning for Anomaly Detection

    Chen Zhong;M. Cenk Gursoy;Senem Velipasalar

Frequent Co-Authors

Senem Velipasalar
Senem Velipasalar Syracuse University
Anke Schmeink
Anke Schmeink RWTH Aachen University
Qinru Qiu
Qinru Qiu Syracuse University
Pramod K. Varshney
Pramod K. Varshney Syracuse University
Jian Tang
Jian Tang Syracuse University
Ismail Guvenc
Ismail Guvenc North Carolina State University
Sinan Gezici
Sinan Gezici Bilkent University
Mehmet C. Vuran
Mehmet C. Vuran University of Nebraska–Lincoln
Yalin E. Sagduyu
Yalin E. Sagduyu Virginia Tech
Rudolf Mathar
Rudolf Mathar RWTH Aachen University

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