World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
63
Citations
13829
World Ranking
2789
National Ranking
13

Anis Koubâa 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 Anis Koubâa 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: 329 publications — 79th percentile

79% of scientists in this discipline score the same or lower.

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

Anis Koubâa 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 Anis Koubâa 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: 63 D-Index — 81st percentile

81% of scientists in this discipline score the same or lower.

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

Overview

Anis Koubâa is affiliated with Prince Sultan University in Saudi Arabia and has contributed extensively to the fields of Computer Science and Engineering. Their research primarily spans several key subfields including Artificial Intelligence, Computer Vision and Pattern Recognition, Computer Networks and Communications, Control and Systems Engineering, and Electrical and Electronic Engineering.

Their scholarly output includes a significant number of publications addressing various topics such as Vehicular Ad Hoc Networks (VANETs), Topic Modeling, Robotic Path Planning Algorithms, IoT and Edge/Fog Computing, Advanced Neural Network Applications, Anomaly Detection Techniques and Applications, and Natural Language Processing Techniques.

Frequent collaborators in their research include Wadii Boulila, Adel Ammar, Bilel Benjdira, Maha Driss, and Ahmad Taher Azar.

Key recent papers illustrating their research activity are:

  • Drone Deep Reinforcement Learning: A Review (2021, Electronics)
  • Deep Learning Techniques for Future Intelligent Cross-Media Retrieval (2020, arXiv (Cornell University))
  • HTTU-Net: Hybrid Two Track U-Net for Automatic Brain Tumor Segmentation (2020, IEEE Access)
  • Vision Transformers in Image Restoration: A Survey (2023, Sensors)
  • UTM-Chain: Blockchain-Based Secure Unmanned Traffic Management for Internet of Drones (2021, Sensors)

Koubâa has published extensively in venues such as arXiv (Cornell University), Preprints.org, IEEE Access, Electronics, and Sensors. These journals and repositories reflect a broad dissemination of work across both open-access and peer-reviewed platforms.

In addition to journal articles, they have authored books published by Springer Nature, including multiple editions of "Robot Operating System (ROS)" released in 2020, 2021, and 2023, as well as "Deep Learning for Unmanned Systems" (2021).

Best Publications

  • Radio link quality estimation in wireless sensor networks: A survey

    Nouha Baccour;Anis Koubâa;Luca Mottola;Marco Antonio Zúñiga

  • Robot Operating System (ROS): The Complete Reference (Volume 1)

    Anis Koubaa

  • A comprehensive simulation study of slotted CSMA/CA for IEEE 802.15.4 wireless sensor networks

    A. Koubaa;M. Alves;E. Tovar

  • Car Detection using Unmanned Aerial Vehicles: Comparison between Faster R-CNN and YOLOv3

    Bilel Benjdira;Taha Khursheed;Anis Koubaa;Adel Ammar

  • RPL in a nutshell: A survey

    Unknown

  • LSAR: Multi-UAV Collaboration for Search and Rescue Missions

    Ebtehal Turki Alotaibi;Shahad Saleh AlQefari;Anis Koubâa

  • Drone Deep Reinforcement Learning: A Review

    Ahmad Taher Azar;Anis Koubaa;Nada Ali Mohamed;Habiba A. Ibrahim

  • A Time Division Beacon Scheduling Mechanism for IEEE 802.15.4/Zigbee Cluster-Tree Wireless Sensor Networks

    A. Koubaa;A. Cunha;M. Alves

  • GTS allocation analysis in IEEE 802.15.4 for real-time wireless sensor networks

    Anis Koubaa;Mário Alves;Eduardo Tovar

  • Unsupervised Domain Adaptation Using Generative Adversarial Networks for Semantic Segmentation of Aerial Images

    Bilel Benjdira;Yakoub Bazi;Anis Koubaa;Kais Ouni

  • Micro Air Vehicle Link (MAVlink) in a Nutshell: A Survey

    Anis Koubâa;Azza Allouch;Maram Alajlan;Yasir Javed

  • F-LQE: a fuzzy link quality estimator for wireless sensor networks

    Nouha Baccour;Anis Koubâa;Habib Youssef;Maissa Ben Jamâa

  • Modeling and Worst-Case Dimensioning of Cluster-Tree Wireless Sensor Networks

    Anis Koubaa;Mario Alves;Eduardo Tovar

  • i-GAME: an implicit GTS allocation mechanism in IEEE 802.15.4 for time-sensitive wireless sensor networks

    A. Koubaa;M. Alves;E. Tovar

  • Improving the IEEE 802.15.4 Slotted CSMA/CA MAC for time-critical events in wireless sensor networks

    Anis Koubaa;Mário Alves;Bilel Nefzi;Ye-Qiong Song

  • RoadSense: Smartphone Application to Estimate Road Conditions Using Accelerometer and Gyroscope

    Azza Allouch;Anis Koubaa;Tarek Abbes;Adel Ammar

  • TDBS: a time division beacon scheduling mechanism for ZigBee cluster-tree wireless sensor networks

    Anis Koubâa;André Cunha;Mário Alves;Eduardo Tovar

  • Quality-of-service aware routing for static and mobile IPv6-based low-power and lossy sensor networks using RPL

    Olfa Gaddour;Anis Koubâa;Mohamed Abid

  • Improving Quality-of-Service in Wireless Sensor Networks by Mitigating “Hidden-Node Collisions”

    A. Koubaa;R. Severino;M. Alves;E. Tovar

  • A Simulation Model for the IEEE 802.15.4 protocol: Delay/Throughput Evaluation of the GTS Mechanism

    P. Jurcik;A. Koubaa;M. Alves;E. Tovar

  • OF-FL: QoS-aware fuzzy logic objective function for the RPL routing protocol

    Olfa Gaddour;Anis Koubaa;Nouha Baccour;Mohamed Abid

  • Robot Operating System (ROS) - The Complete Reference (Volume 2)

    Anis Koubâa

  • Deep Learning Techniques for Future Intelligent Cross-Media Retrieval

    Sadaqat ur Rehman;Muhammad Waqas;Shanshan Tu;Anis Koubaa

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