World's Best Scientists 2026 revealed!
Yalin E. Sagduyu

Yalin E. Sagduyu

D-Index & Metrics

Computer Science

D-Index
38
Citations
5464
World Ranking
10327
National Ranking
4329

Yalin E. Sagduyu publication distribution in Computer Science in 2026

The chart shows the distribution of publications by all Research.com ranked scientists in the field of Computer Science in 2026. The highlighted bar marks where Yalin E. Sagduyu sits on this spectrum.

32–41 publications: 7 scientists 42–51 publications: 22 scientists 52–61 publications: 82 scientists 62–71 publications: 134 scientists 72–81 publications: 249 scientists 82–91 publications: 324 scientists 92–101 publications: 421 scientists 102–111 publications: 420 scientists 112–121 publications: 497 scientists 122–131 publications: 544 scientists 132–141 publications: 555 scientists 142–151 publications: 609 scientists 152–161 publications: 559 scientists 162–171 publications: 534 scientists 172–181 publications: 556 scientists 182–191 publications: 583 scientists 192–201 publications: 519 scientists 202–211 publications: 508 scientists 212–221 publications: 490 scientists 222–231 publications: 437 scientists 232–241 publications: 423 scientists 242–251 publications: 408 scientists 252–261 publications: 377 scientists 262–271 publications: 301 scientists 272–281 publications: 335 scientists 282–291 publications: 320 scientists 292–301 publications: 293 scientists 302–311 publications: 250 scientists 312–321 publications: 238 scientists 322–331 publications: 206 scientists 332–341 publications: 209 scientists 342–351 publications: 208 scientists 352–361 publications: 162 scientists 362–371 publications: 176 scientists 372–381 publications: 127 scientists 382–391 publications: 158 scientists 392–401 publications: 128 scientists 402–411 publications: 104 scientists 412–421 publications: 94 scientists 422–431 publications: 99 scientists 432–441 publications: 83 scientists 442–451 publications: 108 scientists 452–461 publications: 73 scientists 462–471 publications: 77 scientists 472–481 publications: 69 scientists 482–491 publications: 84 scientists 492–501 publications: 62 scientists 502–511 publications: 54 scientists 512–521 publications: 57 scientists 522–531 publications: 51 scientists 532–541 publications: 51 scientists 542–551 publications: 32 scientists 552–561 publications: 38 scientists 562–571 publications: 28 scientists 572–581 publications: 43 scientists 582–591 publications: 33 scientists 592–601 publications: 41 scientists 602–611 publications: 32 scientists 612–621 publications: 28 scientists 622–631 publications: 25 scientists 632–641 publications: 27 scientists 642–651 publications: 17 scientists 652–661 publications: 20 scientists 662–671 publications: 17 scientists 672–681 publications: 15 scientists 682–691 publications: 14 scientists 692–701 publications: 21 scientists 702–711 publications: 13 scientists 712–721 publications: 12 scientists 722–731 publications: 19 scientists 732–741 publications: 14 scientists 742–751 publications: 12 scientists 752–761 publications: 10 scientists 762–771 publications: 10 scientists 772–781 publications: 11 scientists 782–791 publications: 10 scientists 792–801 publications: 11 scientists 802–811 publications: 8 scientists 812–821 publications: 8 scientists 822–831 publications: 7 scientists 832–841 publications: 11 scientists 842–851 publications: 10 scientists 852–861 publications: 5 scientists 862–871 publications: 9 scientists 872–881 publications: 4 scientists 882–891 publications: 6 scientists 892–901 publications: 3 scientists 902–911 publications: 6 scientists 912–921 publications: 3 scientists 922–931 publications: 2 scientists 932–941 publications: 2 scientists 942–951 publications: 2 scientists 952–961 publications: 3 scientists 962–971 publications: 3 scientists 972–981 publications: 3 scientists 982–990 publications: 5 scientists 991+ publications: 100 scientists
32 publications 991+

This scientist: 246 publications — 61st percentile

61% of scientists in this discipline score the same or lower.

The last bar groups every scientist with 991 publications or more.

Yalin E. Sagduyu D-index placement in Computer Science in 2026

The chart shows the D-index (discipline H-index) distribution of Computer Science scientists ranked by Research.com in 2026. The highlighted bar marks where Yalin E. Sagduyu sits on this spectrum.

30–31 D-Index: 879 scientists 32–33 D-Index: 983 scientists 34–35 D-Index: 918 scientists 36–37 D-Index: 990 scientists 38–39 D-Index: 968 scientists 40–41 D-Index: 907 scientists 42–43 D-Index: 821 scientists 44–45 D-Index: 763 scientists 46–47 D-Index: 689 scientists 48–49 D-Index: 543 scientists 50–51 D-Index: 543 scientists 52–53 D-Index: 518 scientists 54–55 D-Index: 500 scientists 56–57 D-Index: 458 scientists 58–59 D-Index: 400 scientists 60–61 D-Index: 337 scientists 62–63 D-Index: 308 scientists 64–65 D-Index: 292 scientists 66–67 D-Index: 249 scientists 68–69 D-Index: 213 scientists 70–71 D-Index: 192 scientists 72–73 D-Index: 189 scientists 74–75 D-Index: 165 scientists 76–77 D-Index: 139 scientists 78–79 D-Index: 119 scientists 80–81 D-Index: 121 scientists 82–83 D-Index: 113 scientists 84–85 D-Index: 88 scientists 86–87 D-Index: 87 scientists 88–89 D-Index: 75 scientists 90–91 D-Index: 69 scientists 92–93 D-Index: 57 scientists 94–95 D-Index: 46 scientists 96–97 D-Index: 38 scientists 98–99 D-Index: 34 scientists 100–101 D-Index: 36 scientists 102–103 D-Index: 27 scientists 104–105 D-Index: 37 scientists 106–107 D-Index: 18 scientists 108–109 D-Index: 31 scientists 110–111 D-Index: 19 scientists 112–113 D-Index: 16 scientists 114–115 D-Index: 12 scientists 116–117 D-Index: 20 scientists 118–119 D-Index: 15 scientists 120–121 D-Index: 5 scientists 122–123 D-Index: 20 scientists 124–125 D-Index: 8 scientists 126–127 D-Index: 5 scientists 128–129 D-Index: 7 scientists 130 D-Index: 3 scientists 131+ D-Index: 98 scientists
30 D-Index 131+

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 131 D-Index or more.

Overview

Yalin E. Sagduyu is affiliated with Virginia Tech in the United States and has a research focus spanning multiple areas within computer science and engineering. Their publications reflect extensive work in fields such as artificial intelligence, electrical and electronic engineering, and computer networks and communications.

The main research topics addressed by Sagduyu include wireless signal modulation classification, adversarial robustness in machine learning, wireless communication security techniques, network security and intrusion detection, distributed sensor networks and detection algorithms, and bacterial research related to Bacillus and Francisella. Additionally, their work touches on millimeter-wave propagation and modeling.

The scientist has collaborated frequently with several coauthors. Among the most frequent are Tugba Erpek, Şennur Ulukuş, Kemal Davaslıoğlu, Yi Shi, and Aylin Yener. These collaborations have contributed to a diverse set of publications across various scientific venues.

Sagduyu's recent papers illustrate their engagement with advanced topics in wireless communications and adversarial machine learning. Selected papers include:

  • Channel-Aware Adversarial Attacks Against Deep Learning-Based Wireless Signal Classifiers, 2021, IEEE Transactions on Wireless Communications
  • Adversarial Machine Learning in Wireless Communications Using RF Data: A Review, 2022, IEEE Communications Surveys & Tutorials
  • Learning-Based UAV Path Planning for Data Collection With Integrated Collision Avoidance, 2022, IEEE Internet of Things Journal
  • Generative Adversarial Network in the Air: Deep Adversarial Learning for Wireless Signal Spoofing, 2020, IEEE Transactions on Cognitive Communications and Networking
  • When Attackers Meet AI: Learning-Empowered Attacks in Cooperative Spectrum Sensing, 2020, IEEE Transactions on Mobile Computing

Publications are often disseminated through a variety of scientific forums. Among the most frequent publication venues for Sagduyu are:

  • arXiv (Cornell University)
  • MILCOM 2022 - 2022 IEEE Military Communications Conference (MILCOM)
  • IEEE Internet of Things Journal
  • IEEE Transactions on Cognitive Communications and Networking
  • IEEE Communications Magazine

The composition of Sagduyu's research output is strongly concentrated in computer science with 137 publications and engineering with 77 publications, illustrating a cross-disciplinary approach bridging theoretical and applied research domains.

Best Publications

  • Deep Learning for Launching and Mitigating Wireless Jamming Attacks

    Tugba Erpek;Yalin E. Sagduyu;Yi Shi

  • Jamming games in wireless networks with incomplete information

    Y. E. Sagduyu;R. A. Berry;A. Ephremides

  • Channel-Aware Adversarial Attacks Against Deep Learning-Based Wireless Signal Classifiers

    Brian Kim;Yalin E. Sagduyu;Kemal Davaslioglu;Tugba Erpek

  • Deep Learning for Wireless Communications

    Tugba Erpek;Timothy J. O'Shea;Yalin E. Sagduyu;Yi Shi

  • On Joint MAC and Network Coding in Wireless Ad Hoc Networks

    Y.E. Sagduyu;A. Ephremides

  • Adversarial Deep Learning for Cognitive Radio Security: Jamming Attack and Defense Strategies

    Yi Shi;Yalin E. Sagduyu;Tugba Erpek;Kemal Davaslioglu

  • Deep Learning for RF Signal Classification in Unknown and Dynamic Spectrum Environments

    Yi Shi;Kemal Davaslioglu;Yalin E. Sagduyu;William C. Headley

  • Generative Adversarial Learning for Spectrum Sensing

    Kemal Davaslioglu;Yalin E. Sagduyu

  • Cross-Layer Optimization of MAC and Network Coding in Wireless Queueing Tandem Networks

    Y.E. Sagduyu;A. Ephremides

  • Generative Adversarial Network in the Air: Deep Adversarial Learning for Wireless Signal Spoofing

    Yi Shi;Kemal Davaslioglu;Yalin E. Sagduyu

  • A game-theoretic analysis of denial of service attacks in wireless random access

    Yalin Evren Sagduyu;Anthony Ephremides

  • How to steal a machine learning classifier with deep learning

    Yi Shi;Yalin Sagduyu;Alexander Grushin

  • IoT Network Security from the Perspective of Adversarial Deep Learning

    Yalin E. Sagduyu;Yi Shi;Tugba Erpek

  • The problem of medium access control in wireless sensor networks

    Y.E. Sagduyu;A. Ephremides

  • Adversarial Deep Learning for Over-the-Air Spectrum Poisoning Attacks

    Yalin E. Sagduyu;Yi Shi;Tugba Erpek

  • Generative Adversarial Network for Wireless Signal Spoofing

    Yi Shi;Kemal Davaslioglu;Yalin E. Sagduyu

  • Over-the-Air Adversarial Attacks on Deep Learning Based Modulation Classifier over Wireless Channels

    Brian Kim;Yalin E. Sagduyu;Kemal Davaslioglu;Tugba Erpek

  • MAC games for distributed wireless network security with incomplete information of selfish and malicious user types

    Yalin Evren Sagduyu;Randall Berry;Anthony Ephremides

  • Joint Scheduling and Wireless Network Coding

    Yalin Evren Sagduyu;Anthony Ephremides

  • Spectrum Data Poisoning with Adversarial Deep Learning

    Yi Shi;Tugba Erpek;Yalin E. Sagduyu;Jason H. Li

  • Reinforcement Learning for Dynamic Resource Optimization in 5G Radio Access Network Slicing

    Yi Shi;Yalin E. Sagduyu;Tugba Erpek

  • DeepWiFi: Cognitive WiFi with Deep Learning

    Kemal Davaslioglu;Sohraab Soltani;Tugba Erpek;Yalin E. Sagduyu

Frequent Co-Authors

Yi Shi
Yi Shi Virginia Tech
Anthony Ephremides
Anthony Ephremides University of Maryland, College Park
Sennur Ulukus
Sennur Ulukus University of Maryland, College Park
Junshan Zhang
Junshan Zhang University of California, Davis
Randall A. Berry
Randall A. Berry Northwestern University
Lei Yang
Lei Yang Hong Kong Polytechnic University
Dongning Guo
Dongning Guo Northwestern University
Aylin Yener
Aylin Yener The Ohio State University
Wolfgang Utschick
Wolfgang Utschick Technical University of Munich
Michael L. Honig
Michael L. Honig Northwestern University

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