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Computer Science
Malaysia
2025

D-Index & Metrics

Computer Science

D-Index
44
Citations
5860
World Ranking
7708
National Ranking
13

Salwani Abdullah 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 Salwani Abdullah 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: 186 publications — 41st percentile

41% of scientists in this discipline score the same or lower.

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

Salwani Abdullah 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 Salwani Abdullah 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: 44 D-Index — 48th percentile

48% of scientists in this discipline score the same or lower.

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

Research.com Recognitions

  • 2025 - Research.com Computer Science in Malaysia Leader Award

Overview

Salwani Abdullah is affiliated with the National University of Malaysia in Malaysia. Their research focuses primarily on computer science and engineering, with a notable emphasis on artificial intelligence and its applications.

Their body of work includes over 100 publications in the domain of computer science, alongside significant contributions in engineering. Within these broader fields, Salwani Abdullah dedicates attention to several subfields including:

  • Artificial Intelligence
  • Computer Networks and Communications
  • Information Systems
  • Industrial and Manufacturing Engineering
  • Management Science and Operations Research

The main research topics covered in their work are diverse, reflecting interdisciplinary interests. These topics include:

  • Metaheuristic Optimization Algorithms Research
  • Software Engineering Research
  • Scheduling and Timetabling Solutions
  • Software Reliability and Analysis Research
  • Network Security and Intrusion Detection
  • Blockchain Technology Applications and Security
  • Vehicle Routing Optimization Methods

Salwani Abdullah's recent notable papers include:

  • "An Analysis of the KDD99 and UNSW-NB15 Datasets for the Intrusion Detection System," 2020, published in Symmetry
  • "A Novel Resource Oriented DMA Framework for Internet of Medical Things Devices in 5G Network," 2022, published in IEEE Transactions on Industrial Informatics
  • "Salp swarm optimizer for modeling the software fault prediction problem," 2021, published in Journal of King Saud University - Computer and Information Sciences
  • "An intelligent hybrid classification algorithm integrating fuzzy rule-based extraction and harmony search optimization: Medical diagnosis applications," 2021, published in Knowledge-Based Systems
  • "Backpropagation Neural Network optimization and software defect estimation modelling using a hybrid Salp Swarm optimizer-based Simulated Annealing Algorithm," 2022, published in Knowledge-Based Systems

The venues where Salwani Abdullah most frequently publishes include:

  • IEEE Access
  • CAAI Transactions on Intelligence Technology
  • Computers, materials & continua/Computers, materials & continua (Print)
  • Knowledge-Based Systems
  • Computer Communications

Frequent collaborators in Salwani Abdullah's research include:

  • Mohammed Azmi Al-Betar
  • Say Leng Goh
  • Sofian Kassaymeh
  • Mohd Zakree Ahmad Nazri
  • Mohammad Kamrul Hasan

The scope and depth of Salwani Abdullah's research encompass various aspects of artificial intelligence and computer networks, integrated with practical applications in software reliability, network security, and industrial engineering. Their work contributes to advancing optimization algorithms, machine learning models, and hybrid techniques tailored for complex problem-solving across multiple domains.

Best Publications

  • A combined approach for clustering based on K-means and gravitational search algorithms

    Abdolreza Hatamlou;Abdolreza Hatamlou;Salwani Abdullah;Hossein Nezamabadi-pour

  • A hybrid evolutionary approach to the university course timetabling problem

    S. Abdullah;E.K. Burke;B. McCollum

  • Generating University Course Timetable Using Genetic Algorithms and Local Search

    S. Abdullah;H. Turabieh

  • Investigating Ahuja–Orlin’s large neighbourhood search approach for examination timetabling

    Salwani Abdullah;Samad Ahmadi;Edmund K. Burke;Moshe Dror

  • Approaches to Cross-Domain Sentiment Analysis: A Systematic Literature Review

    Tareq Al-Moslmi;Nazlia Omar;Salwani Abdullah;Mohammed Albared

  • Optimization of neural network model using modified bat-inspired algorithm

    Najmeh Sadat Jaddi;Salwani Abdullah;Abdul Razak Hamdan

  • Using a Randomised Iterative Improvement Algorithm with Composite Neighbourhood Structures for the University Course Timetabling Problem

    Salwani Abdullah;Edmund K. Burke;Barry McCollum

  • Multi-population cooperative bat algorithm-based optimization of artificial neural network model

    Najmeh Sadat Jaddi;Salwani Abdullah;Abdul Razak Hamdan

  • A multi-population harmony search algorithm with external archive for dynamic optimization problems

    Ayad Mashaan Turky;Salwani Abdullah

  • An adaptive multi-population artificial bee colony algorithm for dynamic optimisation problems

    Shams K. Nseef;Salwani Abdullah;Ayad Mashaan Turky;Graham Kendall;Graham Kendall

  • Investigation on Image Processing Techniques for Diagnosing Paddy Diseases

    Nunik Noviana Kurniawati;Siti Norul Huda Sheikh Abdullah;Salwani Abdullah;Saad Abdullah

  • On the use of multi neighbourhood structures within a Tabu-based memetic approach to university timetabling problems

    Salwani Abdullah;Hamza Turabieh

  • An Analysis of the KDD99 and UNSW-NB15 Datasets for the Intrusion Detection System

    Muataz Salam Al-Daweri;Khairul Akram Zainol Ariffin;Salwani Abdullah;Mohamad Firham Efendy Md. Senan

  • Arabic senti-lexicon: Constructing publicly available language resources for Arabic sentiment analysis:

    Tareq Al-Moslmi;Mohammed Albared;Mohammed Albared;Adel Al-Shabi;Nazlia Omar

  • Fuzzy job-shop scheduling problems: A review

    Salwani Abdullah;Majid Abdolrazzagh-Nezhad;Majid Abdolrazzagh-Nezhad

  • A hybrid metaheuristic approach to the university course timetabling problem

    Salwani Abdullah;Hamza Turabieh;Barry Mccollum;Paul Mcmullan

  • S-Shaped vs. V-Shaped Transfer Functions for Ant Lion Optimization Algorithm in Feature Selection Problem

    Majdi Mafarja;Derar Eleyan;Salwani Abdullah;Seyedali Mirjalili

  • Hybridizing firefly algorithms with a probabilistic neural network for solving classification problems

    Mohammed Alweshah;Salwani Abdullah

  • A tabu-based large neighbourhood search methodology for the capacitated examination timetabling problem

    Salwani Abdullah;Samad Ahmadi;Edmund K. Burke;Moshe Dror

  • An integrated hybrid approach to the examination timetabling problem

    Hamza Turabieh;Salwani Abdullah

  • Kidney-inspired algorithm for optimization problems

    Najmeh Sadat Jaddi;Jafar Alvankarian;Salwani Abdullah

  • Great Deluge Algorithm for Rough Set Attribute Reduction

    Salwani Abdullah;Najmeh Sadat Jaddi

Frequent Co-Authors

Edmund K. Burke
Edmund K. Burke Bangor University
Majdi M. Mafarja
Majdi M. Mafarja Birzeit University
Graham Kendall
Graham Kendall MILA University
Mohammed Azmi Al-Betar
Mohammed Azmi Al-Betar Ajman University of Science and Technology
Rong Qu
Rong Qu University of Nottingham
Siti Mariyam Shamsuddin
Siti Mariyam Shamsuddin University of Technology Malaysia
Uwe Aickelin
Uwe Aickelin University of Melbourne
Moshe Dror
Moshe Dror University of Arizona
Houbing Song
Houbing Song University of Maryland, Baltimore County
Siti Kartom Kamarudin
Siti Kartom Kamarudin National University of Malaysia

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