World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
39
Citations
9988
World Ranking
9556
National Ranking
592

Sakir Sezer 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 Sakir Sezer 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: 266 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.

Sakir Sezer 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 Sakir Sezer 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: 39 D-Index — 33rd percentile

33% of scientists in this discipline score the same or lower.

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

Overview

Sakir Sezer is affiliated with Queen's University Belfast in the United Kingdom. Their research spans several interconnected fields primarily within computer science and engineering. The main areas of study include signal processing, electrical and electronic engineering, control and systems engineering, computer networks and communications, and artificial intelligence.

The scientist's work focuses on topics related to advanced malware detection techniques, network security and intrusion detection, smart grid security and resilience, vehicular ad hoc networks (VANETs), spam and phishing detection, security and verification in computing, and privacy-preserving technologies in data.

Frequent co-authors collaborating with Sakir Sezer include Kieran McLaughlin, Fahad Siddiqui, Domhnall Carlin, Rafiullah Khan, and Fatih Kurugöllü.

Several publication venues have featured the scientist's work, with notable contributions to arXiv (Cornell University), Computers & Security, IEEE Transactions on Vehicular Technology, International Journal of Critical Infrastructure Protection, and Journal of Information Security and Applications.

Recent published papers include:

  • NOTRINO: A NOvel Hybrid TRust Management Scheme for INternet-of-Vehicles, 2021, IEEE Transactions on Vehicular Technology
  • MaldomDetector: A system for detecting algorithmically generated domain names with machine learning, 2020, Computers & Security
  • Vulnerability analysis of S7 PLCs: Manipulating the security mechanism, 2021, International Journal of Critical Infrastructure Protection
  • MFMCNS: a multi-feature and multi-classifier network-based system for ransomworm detection, 2022, Computers & Security
  • A Model-Free Approach to Intrusion Response Systems, 2022, Journal of Information Security and Applications

Best Publications

  • Are we ready for SDN? Implementation challenges for software-defined networks

    S. Sezer;Sandra Scott-Hayward;P. K. Chouhan;B. Fraser

  • A Survey of Security in Software Defined Networks

    Sandra Scott-Hayward;Sriram Natarajan;Sakir Sezer

  • Sdn Security: A Survey

    Sandra Scott-Hayward;Gemma O'Callaghan;Sakir Sezer

  • Deep Android Malware Detection

    Niall McLaughlin;Jesus Martinez del Rincon;BooJoong Kang;Suleiman Yerima

  • A Multimodal Deep Learning Method for Android Malware Detection Using Various Features

    TaeGuen Kim;BooJoong Kang;Mina Rho;Sakir Sezer

  • DL-Droid: Deep learning based android malware detection using real devices

    Mohammed K. Alzaylaee;Suleiman Y. Yerima;Sakir Sezer

  • A New Android Malware Detection Approach Using Bayesian Classification

    S. Y. Yerima;S. Sezer;G. McWilliams;I. Muttik

  • Obfuscation: The Hidden Malware

    P. O'Kane;S. Sezer;K. McLaughlin

  • STRIDE-based threat modeling for cyber-physical systems

    Rafiullah Khan;Kieran McLaughlin;David Laverty;Sakir Sezer

  • STPA-SafeSec: Safety and Security Analysis for Cyber-Physical Systems

    Ivo Friedberg;Kieran McLaughlin;Paul Smith;David M. Laverty

  • DroidFusion: A Novel Multilevel Classifier Fusion Approach for Android Malware Detection

    Suleiman Y. Yerima;Sakir Sezer

  • High Accuracy Android Malware Detection Using Ensemble Learning

    Suleiman Y. Yerima;Sakir Sezer;Igor Muttik

  • Multiattribute SCADA-Specific Intrusion Detection System for Power Networks

    Y. Yang;K. McLaughlin;S. Sezer;T. Littler

  • Analysis of Bayesian classification-based approaches for Android malware detection

    Suleiman Y. Yerima;Sakir Sezer;Gavin McWilliams

  • Multidimensional Intrusion Detection System for IEC 61850-Based SCADA Networks

    Yi Yang;Hai-Qing Xu;Lei Gao;Yu-Bo Yuan

  • Threat analysis of BlackEnergy malware for synchrophasor based real-time control and monitoring in smart grid

    Rafiullah Khan;Peter Maynard;Kieran McLaughlin;David Laverty

  • Android Malware Detection Using Parallel Machine Learning Classifiers

    Suleiman Y. Yerima;Sakir Sezer;Igor Muttik

  • A Multi-Classifier Network-Based Crypto Ransomware Detection System: A Case Study of Locky Ransomware

    Ahmad O. Almashhadani;Mustafa Kaiiali;Sakir Sezer;Philip O'Kane

  • Man-in-the-Middle Attack Test-bed Investigating Cyber-security Vulnerabilities in Smart Grid SCADA Systems

    Y. Yang;K. McLaughlin;T. Littler;S. Sezer

  • Impact of cyber-security issues on Smart Grid

    Y. Yang;Tim Littler;S. Sezer;K. McLaughlin

  • Evolution of ransomware

    Philip O'Kane;Sakir Sezer;Domhnall Carlin

Frequent Co-Authors

Alan G. Marshall
Alan G. Marshall Florida State University
Maire O'Neill
Maire O'Neill Queen's University Belfast
Mark A. Tully
Mark A. Tully University of Ulster
Huiyu Zhou
Huiyu Zhou University of Leicester
Awais Rashid
Awais Rashid University of Bristol
Chris Hankin
Chris Hankin Imperial College London
Yu Hen Hu
Yu Hen Hu University of Wisconsin–Madison
Vincent Fusco
Vincent Fusco Queen's University Belfast
Earl E. Swartzlander
Earl E. Swartzlander The University of Texas at Austin
Hannu Tenhunen
Hannu Tenhunen Royal Institute of Technology

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