World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
43
Citations
6520
World Ranking
8077
National Ranking
31

Amr Tolba 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 Amr Tolba 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: 272 publications — 68th percentile

68% of scientists in this discipline score the same or lower.

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

Amr Tolba 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 Amr Tolba 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: 43 D-Index — 46th percentile

46% of scientists in this discipline score the same or lower.

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

Overview

Amr Tolba is affiliated with King Saud University in Saudi Arabia and has contributed extensively to the fields of computer science and engineering. Their work primarily focuses on areas such as computer networks and communications, electrical and electronic engineering, and artificial intelligence, with notable contributions spanning over 347 publications in computer science and 185 in engineering.

The scientist's research covers a range of subfields including:

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

Key topics in Amr Tolba's research include:

  • IoT and Edge/Fog Computing
  • Blockchain Technology Applications and Security
  • Privacy-Preserving Technologies in Data
  • Network Security and Intrusion Detection
  • Vehicular Ad Hoc Networks (VANETs)
  • Software-Defined Networks and 5G
  • Anomaly Detection Techniques and Applications

Frequent venues for publication include:

  • IEEE Access
  • IEEE Internet of Things Journal
  • Mathematics
  • Sensors
  • Computers, Materials & Continua (Print)

Amr Tolba has collaborated regularly with several coauthors, among whom are Osama Alfarraj, Fayez Alqahtani, Sudeep Tanwar, Maria Simona Raboacă, and Jin Wang.

Recent notable papers authored by Amr Tolba are:

  • "A framework for privacy-preservation of IoT healthcare data using Federated Learning and blockchain technology," 2021, Future Generation Computer Systems
  • "Multiple cloud storage mechanism based on blockchain in smart homes," 2020, Future Generation Computer Systems
  • "LogEvent2vec: LogEvent-to-Vector Based Anomaly Detection for Large-Scale Logs in Internet of Things," 2020, Sensors
  • "Artificial Intelligence-Empowered Edge of Vehicles: Architecture, Enabling Technologies, and Applications," 2020, IEEE Access
  • "EMS: An Energy Management Scheme for Green IoT Environments," 2020, IEEE Access

Best Publications

  • A framework for privacy-preservation of IoT healthcare data using Federated Learning and blockchain technology

    Unknown

  • Multiple cloud storage mechanism based on blockchain in smart homes

    Yongjun Ren;Yan Leng;Jian Qi;Pradip Kumar Sharma

  • LoTAD: long-term traffic anomaly detection based on crowdsourced bus trajectory data

    Xiangjie Kong;Ximeng Song;Feng Xia;Haochen Guo

  • Utilizing IoT wearable medical device for heart disease prediction using higher order Boltzmann model: A classification approach

    Zafer Al-Makhadmeh;Amr Tolba;Amr Tolba

  • Automatic detection of lung cancer from biomedical data set using discrete AdaBoost optimized ensemble learning generalized neural networks

    P. Mohamed Shakeel;Amr Tolba;Amr Tolba;Zafer Al-Makhadmeh;Mustafa Musa Jaber

  • A greedy model with small world for improving the robustness of heterogeneous Internet of Things

    Tie Qiu;Diansong Luo;Feng Xia;Nakema Deonauth

  • Automatic hate speech detection using killer natural language processing optimizing ensemble deep learning approach

    Zafer Al-Makhadmeh;Amr Tolba;Amr Tolba

  • Data Query Mechanism Based on Hash Computing Power of Blockchain in Internet of Things.

    Yongjun Ren;Fujian Zhu;Pradip Kumar Sharma;Tian Wang

  • A big data approach to sentiment analysis using greedy feature selection with cat swarm optimization-based long short-term memory neural networks

    Abdulaziz Alarifi;Amr Tolba;Amr Tolba;Zafer Al-Makhadmeh;Wael Said

  • ERGID: An efficient routing protocol for emergency response Internet of Things

    Tie Qiu;Yuan Lv;Feng Xia;Ning Chen

  • Artificial Intelligence-Empowered Edge of Vehicles: Architecture, Enabling Technologies, and Applications

    Hongjing Ji;Osama Alfarraj;Amr Tolba

  • EMS: An Energy Management Scheme for Green IoT Environments

    Omar Said;Zafer Al-Makhadmeh;A.M.R. Tolba

  • Exploiting Publication Contents and Collaboration Networks for Collaborator Recommendation.

    Xiangjie Kong;Huizhen Jiang;Zhuo Yang;Zhenzhen Xu

  • LogEvent2vec: LogEvent-to-Vector Based Anomaly Detection for Large-Scale Logs in Internet of Things.

    Jin Wang;Jin Wang;Yangning Tang;Shiming He;Shiming He;Changqing Zhao

  • Internet of things-based urban waste management system for smart cities using a Cuckoo Search Algorithm

    Fayez Alqahtani;Zafer Al-Makhadmeh;Amr Tolba;Amr Tolba;Wael Said

  • Privacy preserving authentication system based on non-interactive zero knowledge proof suitable for Internet of Things

    Ashutosh Dhar Dwivedi;Rajani Singh;Uttam Ghosh;Raghava Rao Mukkamala

  • Optimizing the network energy of cloud assisted internet of things by using the adaptive neural learning approach in wireless sensor networks

    Abdulaziz Alarifi;Amr Tolba;Amr Tolba

  • Deep Learning-Based Malicious Smart Contract and Intrusion Detection System for IoT Environment

    Unknown

  • Trust-based neighbor selection using activation function for secure routing in wireless sensor networks

    Osama AlFarraj;Ahmad AlZubi;Amr Tolba;Amr Tolba

  • PAVE: Personalized Academic Venue recommendation Exploiting co-publication networks

    Shuo Yu;Jiaying Liu;Zhuo Yang;Zhen Chen

  • Social acquaintance based routing in Vehicular Social Networks

    Azizur Rahim;Tie Qiu;Zhaolong Ning;Jinzhong Wang

  • A social-based watchdog system to detect selfish nodes in opportunistic mobile networks

    Behrouz Jedari;Feng Xia;Honglong Chen;Sajal K. Das

Frequent Co-Authors

Feng Xia
Feng Xia RMIT University
Xiangjie Kong
Xiangjie Kong Zhejiang University of Technology
Zhaolong Ning
Zhaolong Ning Chongqing University of Posts and Telecommunications
Ahmed Ghoneim
Ahmed Ghoneim Cairo University
Tie Qiu
Tie Qiu Tianjin University
Li Liu
Li Liu Jiangnan University
Sajal K. Das
Sajal K. Das Missouri University of Science and Technology
Mohammad S. Obaidat
Mohammad S. Obaidat University of Jordan
Jiafu Wan
Jiafu Wan South China University of Technology
Tian Wang
Tian Wang Beijing Normal University

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