World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
39
Citations
6505
World Ranking
9768
National Ranking
17

Zakaria Maamar 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 Zakaria Maamar 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: 498 publications — 93rd percentile

93% of scientists in this discipline score the same or lower.

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

Zakaria Maamar 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 Zakaria Maamar 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

Zakaria Maamar is affiliated with Zayed University in the United Arab Emirates. Their research primarily spans the fields of Computer Science and Business, Management and Accounting, with a total of 104 and 21 publications respectively. Within these areas, Maamar's work delves into specific subfields such as Computer Networks and Communications, Information Systems, Management Information Systems, Artificial Intelligence, and Computer Vision and Pattern Recognition.

The research topics addressed by Zakaria Maamar encompass a range of contemporary technological and management issues. These include:

  • IoT and Edge/Fog Computing
  • Service-Oriented Architecture and Web Services
  • Blockchain Technology Applications and Security
  • Cloud Computing and Resource Management
  • Business Process Modeling and Analysis
  • Software System Performance and Reliability
  • Context-Aware Activity Recognition Systems

Maamar's recent publications highlight a focus on machine learning, resource allocation, and network management within IoT and cloud-enabled systems. Representative recent papers include:

  • "IoT-Enabled Flood Severity Prediction via Ensemble Machine Learning Models," 2020, IEEE Access
  • "A multi-model based microservices identification approach," 2021, Journal of Systems Architecture
  • "Intelligent Control and Security of Fog Resources in Healthcare Systems via a Cognitive Fog Model," 2020, ACM Transactions on Internet Technology
  • "Toward a correct and optimal time-aware cloud resource allocation to business processes," 2020, Future Generation Computer Systems
  • "Congestion avoidance in wireless sensor network using software defined network," 2021, Computing

The frequent co-authors collaborating with Maamar include Noura Faci, Fadwa Yahya, Thar Baker, Djamal Benslimane, and Mohammed Al-Khafajiy. These collaborative networks suggest a multidisciplinary approach across computer science and information systems domains.

Publication venues where Maamar's work regularly appears include Computing, Service Oriented Computing and Applications, Internet of Things, Future Generation Computer Systems, and Computer Science and Information Systems. These outlets reflect a consistent contribution to both theoretical and applied research in computing and systems engineering.

In addition to journal articles, Zakaria Maamar has contributed to book publications with Springer Science+Business Media, particularly in the area of Web Information Systems Engineering, with works published in 2021.

Best Publications

  • Toward an agent-based and context-oriented approach for Web services composition

    Z. Maamar;S.K. Mostefaoui;H. Yahyaoui

  • What can context do for web services

    Zakaria Maamar;Djamal Benslimane;Nanjangud C. Narendra

  • Towards an Approach forWeb services Substitution

    Yehia Taher;Djamal Benslimane;Marie-christine Fauvet;Zakaria Maamar

  • Improving Fog Computing Performance via Fog-2-Fog Collaboration

    Mohammed Al-khafajiy;Thar Baker;Hilal Al-Libawy;Zakaria Maamar

  • A context-based mediation approach to compose semantic Web services

    Michael Mrissa;Chirine Ghedira;Djamal Benslimane;Zakaria Maamar

  • Why Web Services Need Social Networks

    Zakaria Maamar;Hakim Hacid;Michael N Huhns

  • Towards an Approach for Web services Substitution

    Yehia Taher;Djamal Benslimane;Marie-Christine Fauvet;Zakaria Maamar

  • Configurable Composition and Adaptive Provisioning of Web Services

    Q.Z. Sheng;B. Benatallah;Z. Maamar;A.H.H. Ngu

  • Integration of workflow and agent technology for business process management

    Yuhong Yan;Z. Maamar;Weiming Shen

  • Using Social Networks for Web Services Discovery

    Z. Maamar;P. Santos;L. Wives;Y. Badr

  • Enabling Personalized Composition and Adaptive Provisioning of Web Services

    Quan Z. Sheng;Boualem Benatallah;Zakaria Maamar;Marlon Dumas

  • LinkedWS: A Novel Web Services Discovery Model Based on the Metaphor of Social Networks

    Zakaria Maamar;Leandro Krug Wives;Youakim Badr;Said Elnaffar

  • On the Enhancement of BPEL Engines for Self-Healing Composite Web Services

    S. Subramanian;P. Thiran;N.C. Narendra;G.K. Mostefaoui

  • On Composite Web Services Provisioning in an Environment of Fixed and Mobile Computing Resources

    Zakaria Maamar;Quan Z. Sheng;Boualem Benatallah

  • Context for Personalized Web Services

    Z. Maamar;S.K. Mostefaoui;Q.H. Mahmoud

  • A Petri Net Approach to Analyzing Behavioral Compatibility and Similarity of Web Services

    Xitong Li;Yushun Fan;Q Z Sheng;Z Maamar

  • Service composition: concepts, techniques, tools and trends

    Boualem Benatallah;Remco M. Dijkman;Marlon Dumas;Zakaria Maamar

  • Toward intelligent business objects

    Zakaria Maamar;Jeff Sutherland

  • An Argumentation Framework for Communities of Web Services

    J. Bentahar;Z. Maamar;D. Benslimane;P. Thiran

  • An Approach to Engineer Communities of Web Services: Concepts, architecture, operation, and deployment

    Zakaria Maamar;Sattanathan Subramanian;Philippe Thiran;Djamal Benslimane

Frequent Co-Authors

Quan Z. Sheng
Quan Z. Sheng Macquarie University
Thar Baker
Thar Baker University of Khorfakkan
Qusay H. Mahmoud
Qusay H. Mahmoud University of Ontario Institute of Technology
Jamal Bentahar
Jamal Bentahar Concordia University
Boualem Benatallah
Boualem Benatallah Dublin City University
Sherif Sakr
Sherif Sakr University of Tartu
Michael N. Huhns
Michael N. Huhns University of South Carolina
Sherali Zeadally
Sherali Zeadally University of Kentucky
Lina Yao
Lina Yao Commonwealth Scientific and Industrial Research Organisation
Rajkumar Buyya
Rajkumar Buyya University of Melbourne

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