World's Best Scientists 2026 revealed!
Angelos Stavrou

Angelos Stavrou

D-Index & Metrics

Computer Science

D-Index
46
Citations
10314
World Ranking
6766
National Ranking
2981

Angelos Stavrou 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 Angelos Stavrou 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: 264 publications — 66th percentile

66% of scientists in this discipline score the same or lower.

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

Angelos Stavrou 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 Angelos Stavrou 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: 46 D-Index — 53rd percentile

53% of scientists in this discipline score the same or lower.

The last bar groups every scientist with 131 D-Index or more.

Overview

Angelos Stavrou is a researcher affiliated with Virginia Tech in the United States. Their work primarily spans fields of computer science and engineering, with a strong focus on computer networks and communications as well as electrical and electronic engineering.

The scientist's research covers a variety of subfields and topics including robotics and sensor-based localization, indoor and outdoor localization technologies, underwater vehicles and communication systems, software-defined networks and 5G, network security and intrusion detection, internet traffic analysis and secure e-voting, and IoT and edge/fog computing.

Their recent notable papers include:

  • PILOT: High-Precision Indoor Localization for Autonomous Drones (2023), IEEE Transactions on Vehicular Technology
  • iDROP: Robust Localization for Indoor Navigation of Drones With Optimized Beacon Placement (2023), IEEE Internet of Things Journal
  • RAIL: Robust Acoustic Indoor Localization for Drones (2022), 2022 IEEE 95th Vehicular Technology Conference (VTC2022-Spring)
  • OFDRA: Optimal Femtocell Deployment for Accurate Indoor Positioning of RIS-Mounted AVs (2023), IEEE Journal on Selected Areas in Communications
  • Scaling Network Slices with a 5G Testbed: A Resource Consumption Study (2022), 2022 IEEE Wireless Communications and Networking Conference (WCNC)

Frequently publishing venues for Stavrou include:

  • arXiv (Cornell University)
  • Computer
  • IEEE Internet of Things Journal
  • 2022 IEEE Wireless Communications and Networking Conference (WCNC)
  • Sensors

Key frequent co-authors collaborating with Stavrou are:

  • Haining Wang
  • Alireza Famili
  • Tolga Atalay
  • Dragoslav Stojadinovic
  • Jung-Min Park

The main subjects of Stavrou's research show an intensive involvement in the development and evaluation of localization technologies for autonomous drones and network systems. This includes contributions to indoor localization precision, robust beacon placement for navigation, acoustic indoor localization techniques, and optimization of network slices within 5G testbeds.

Best Publications

  • DDoS in the IoT: Mirai and Other Botnets

    Constantinos Kolias;Georgios Kambourakis;Angelos Stavrou;Jeffrey Voas

  • Intrusion Detection in 802.11 Networks: Empirical Evaluation of Threats and a Public Dataset

    Constantinos Kolias;Georgios Kambourakis;Angelos Stavrou;Stefanos Gritzalis

  • Malicious PDF detection using metadata and structural features

    Charles Smutz;Angelos Stavrou

  • Casting out Demons: Sanitizing Training Data for Anomaly Sensors

    G.F. Cretu;A. Stavrou;M.E. Locasto;S.J. Stolfo

  • HyperCheck: a hardware-assisted integrity monitor

    Jiang Wang;Angelos Stavrou;Anup Ghosh

  • The Mirai botnet and the IoT Zombie Armies

    Georgios Kambourakis;Constantinos Kolias;Angelos Stavrou

  • Methods and apparatus for application isolation

    Anup Ghosh;Yih Huang;Jiang Wang;Angelos Stavrou

  • 2015 IEEE Symposium on Security and Privacy SP 2015

    Jonathan Woodruff;Peter G. Neumann;Simon W. Moore;Jonathan Anderson

  • Using graphic turing tests to counter automated DDoS attacks against web servers

    William G. Morein;Angelos Stavrou;Debra L. Cook;Angelos D. Keromytis

  • On the infeasibility of modeling polymorphic shellcode

    Yingbo Song;Michael E. Locasto;Angelos Stavrou;Angelos D. Keromytis

  • A whitebox approach for automated security testing of Android applications on the cloud

    Riyadh Mahmood;Naeem Esfahani;Thabet Kacem;Nariman Mirzaei

  • MOTAG: Moving Target Defense against Internet Denial of Service Attacks

    Quan Jia;Kun Sun;Angelos Stavrou

  • SQLProb: a proxy-based architecture towards preventing SQL injection attacks

    Anyi Liu;Yi Yuan;Duminda Wijesekera;Angelos Stavrou

  • Catch Me If You Can: A Cloud-Enabled DDoS Defense

    Quan Jia;Huangxin Wang;Dan Fleck;Fei Li

  • A moving target DDoS defense mechanism

    Huangxin Wang;Quan Jia;Dan Fleck;Walter Powell

  • Methods, media and systems for responding to a denial of service attack

    Angelos Stavrou;Angelos D. Keromytis;Jason Nieh;Vishal Misra

  • Exploiting smart-phone USB connectivity for fun and profit

    Zhaohui Wang;Angelos Stavrou

  • Learning Internet-of-Things Security "Hands-On"

    Constantinos Kolias;Angelos Stavrou;Jeffrey Voas;Irena Bojanova

  • Universal Multi-Factor Authentication Using Graphical Passwords

    A.P. Sabzevar;A. Stavrou

  • A Study of Malcode-Bearing Documents

    Wei-Jen Li;Salvatore Stolfo;Angelos Stavrou;Elli Androulaki

  • On the infeasibility of modeling polymorphic shellcode

    Yingbo Song;Michael E. Locasto;Angelos Stavrou;Angelos D. Keromytis

Frequent Co-Authors

Angelos D. Keromytis
Angelos D. Keromytis Georgia Institute of Technology
Salvatore J. Stolfo
Salvatore J. Stolfo Columbia University
Haining Wang
Haining Wang Virginia Tech
Kun Sun
Kun Sun George Mason University
Sushil Jajodia
Sushil Jajodia George Mason University
Dan Rubenstein
Dan Rubenstein Columbia University
Jason Nieh
Jason Nieh Columbia University
Jeffrey Voas
Jeffrey Voas National Institute of Standards and Technology
Daniel Barbará
Daniel Barbará George Mason University
George Kesidis
George Kesidis Pennsylvania State University

If you think any of the details on this page are incorrect, let us know.

Report an issue

We appreciate your kind effort to assist us to improve this page, it would be helpful providing us with as much detail as possible in the text box below:

Related Online Degrees & Career Pathways

Studying Computer Science in the USA unlocks a range of online degrees and complementary career paths. Students interested in applying their technical knowledge can also explore fields like engineering and data science, which offer flexible online learning options.

For those drawn to technology and innovation, accredited online mechanical engineering degrees provide robust foundations in design, manufacturing, and thermodynamics. Physics enthusiasts searching for cost-effective studies can look into the cheapest online physics degree options to strengthen their analytical skills.

Data science is another rapidly growing pathway. If you want to specialize in big data or machine learning, discover what is the cheapest data science course in the us? for accessible, high-quality programs. Additionally, earning an online master’s in electrical engineering degree can open doors to advanced roles in fields from telecommunications to robotics.

By considering these related online degrees, students can future-proof their careers and gain interdisciplinary skills essential for today’s tech-driven workforce.

Best Scientists Citing Angelos Stavrou

Trending Scientists

Recently Published Articles