World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
33
Citations
6823
World Ranking
12453
National Ranking
5051

Taieb Znati publications per year

1987: 1 publications 1988: 2 publications 1989: 0 publications 1990: 0 publications 1991: 6 publications 1992: 1 publications 1993: 3 publications 1994: 5 publications 1995: 5 publications 1996: 4 publications 1997: 1 publications 1998: 6 publications 1999: 13 publications 2000: 6 publications 2001: 10 publications 2002: 12 publications 2003: 10 publications 2004: 16 publications 2005: 16 publications 2006: 19 publications 2007: 17 publications 2008: 14 publications 2009: 12 publications 2010: 10 publications 2011: 5 publications 2012: 18 publications 2013: 12 publications 2014: 14 publications 2015: 9 publications 2016: 11 publications 2017: 5 publications 2018: 7 publications 2019: 8 publications 2020: 7 publications 2021: 3 publications 2022: 2 publications 2023: 5 publications 2024: 1 publications
1987 2024

296 publications in total across all disciplines

Taieb Znati 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 Taieb Znati 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: 286 publications — 71st percentile

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

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

Taieb Znati 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 Taieb Znati 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: 33 D-Index — 13th percentile

13% of scientists in this discipline score the same or lower.

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

Overview

Taieb Znati is affiliated with the University of Pittsburgh in the United States. Their research primarily spans the field of Computer Science with a strong focus on subfields such as Computer Networks and Communications, Electrical and Electronic Engineering, Information Systems, Cellular and Molecular Neuroscience, and Reproductive Medicine.

Their work addresses several topics including:

  • Network Traffic and Congestion Control
  • Software-Defined Networks and 5G
  • Ovarian cancer diagnosis and treatment
  • Gene expression and cancer classification
  • Vehicular Ad Hoc Networks (VANETs)
  • IoT and Edge/Fog Computing
  • Blockchain Technology Applications and Security

Taieb Znati has frequently collaborated with co-authors such as Karin Cox, Daisuke Kase, Robert S. Turner, Debarun Das, and Martin B. H. Weiss. Their research has been published in various venues, with notable frequent publications in Zenodo (CERN European Organization for Nuclear Research) and Swinburne Research Bank (Swinburne University of Technology). Other venues include the International Journal of Medical Informatics, IEEE Internet of Things Journal, and Journal of Neural Engineering.

Selected recent publications include:

  • "Using machine learning to predict ovarian cancer" (2020), published in the International Journal of Medical Informatics
  • "A Proactive Reliable Mechanism-Based Vehicular Fog Computing Network" (2020), published in IEEE Internet of Things Journal
  • "Detecting rhythmic spiking through the power spectra of point process model residuals" (2024), published in Journal of Neural Engineering
  • "Two bits are enough" (2024), published in Swinburne Research Bank (Swinburne University of Technology)
  • "Incremental deployment of new ECN-compatible congestion control" (2024), published in Swinburne Research Bank (Swinburne University of Technology)

Best Publications

  • Wireless Sensor Networks: Technology, Protocols, and Applications

    Kazem Sohraby;Daniel Minoli;Taieb Znati

  • A mobility-based framework for adaptive clustering in wireless ad hoc networks

    A.B. McDonald;T.F. Znati

  • Wireless sensor networks

    C. S. Raghavendra;Krishna M. Sivalingam;Taieb Znati

  • A path availability model for wireless ad-hoc networks

    A.B. McDonald;T. Znati

  • Network function virtualization in 5G

    Sherif Abdelwahab;Bechir Hamdaoui;Mohsen Guizani;Taieb Znati

  • Predictive mobility support for QoS provisioning in mobile wireless environments

    A. Aljadhai;T.F. Znati

  • Design and performance of a distributed dynamic clustering algorithm for ad-hoc networks

    A.B. McDonald;T.F. Znati

  • On new approaches of assessing network vulnerability: hardness and approximation

    Thang N. Dinh;Ying Xuan;My T. Thai;Panos M. Pardalos

  • Using machine learning to predict ovarian cancer.

    Mingyang Lu;Zhenjiang Fan;Bin Xu;Lujun Chen

  • Replisom : Disciplined Tiny Memory Replication for Massive IoT Devices in LTE Edge Cloud

    Sherif Abdelwahab;Bechir Hamdaoui;Mohsen Guizani;Taieb Znati

  • Roaming honeypots for mitigating service-level denial-of-service attacks

    S.M. Khattab;C. Sangpachatanaruk;D. Mosse;R. Melhem

  • On Approximation of New Optimization Methods for Assessing Network Vulnerability

    Thang N. Dinh;Ying Xuan;My T. Thai;E. K. Park

  • Cooperative Relay Selection in Cognitive Radio Networks

    Tao Jing;Shixiang Zhu;Hongjuan Li;Xiaoshuang Xing

  • A dynamic decision support system based on geographical information and mobile social networks: A model for tsunami risk mitigation in Padang, Indonesia

    Fuli Ai;Louise K. Comfort;Yongqiang Dong;Taieb Znati

  • On the Design of Load Factor based Congestion Control Protocols for Next-Generation Networks

    I.A. Qazi;T. Znati

  • Detecting Application Denial-of-Service Attacks: A Group-Testing-Based Approach

    Ying Xuan;Incheol Shin;My T Thai;Taieb Znati

  • Reliability-Aware Offloading and Allocation in Multilevel Edge Computing System

    Luobing Dong;Weili Wu;Qiumin Guo;Meghana N. Satpute

  • A framework for call admission control and QoS support in wireless environments

    A. Aljadhai;T.F. Znati

  • Traffic-Aware Firewall Optimization Strategies

    Subrata Acharya;Jia Wang;Zihui Ge;Taieb Znati

  • Minimizing Wavelength Conversions in WDM Path Establishment

    Rami G. Melhem;Shu Li;Taieb Znati

  • Editorial: wireless sensor networks

    Erdal Cayirci;Ramesh Govindan;Taieb Znati;Mani Srivastava

  • Proactive server roaming for mitigating denial-of-service attacks

    S.M. Khattab;C. Sangpachatanaruk;R. Melhem;D. l Mosse

Frequent Co-Authors

Rami Melhem
Rami Melhem University of Pittsburgh
Xiuzhen Cheng
Xiuzhen Cheng Shandong University
Daniel Mosse
Daniel Mosse University of Pittsburgh
Bechir Hamdaoui
Bechir Hamdaoui Oregon State University
My T. Thai
My T. Thai University of Florida
Mohsen Guizani
Mohsen Guizani Mohamed bin Zayed University of Artificial Intelligence
Weili Wu
Weili Wu The University of Texas at Dallas
Shi-Kuo Chang
Shi-Kuo Chang University of Pittsburgh
Lachlan L. H. Andrew
Lachlan L. H. Andrew University of Melbourne
Lionel M. Ni
Lionel M. Ni Hong Kong University of Science and Technology (Guangzhou)

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