World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
38
Citations
6833
World Ranking
10163
National Ranking
24

Naomie Salim 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 Naomie Salim 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: 321 publications — 77th percentile

77% of scientists in this discipline score the same or lower.

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

Naomie Salim 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 Naomie Salim 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: 38 D-Index — 30th percentile

30% of scientists in this discipline score the same or lower.

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

Overview

Naomie Salim is affiliated with the University of Technology Malaysia in Malaysia. Their primary field of study is Computer Science, with a total of 66 publications. Within this broad area, Salim has contributed extensively to subfields including Artificial Intelligence, Information Systems, Computational Theory and Mathematics, Surgery, and Materials Chemistry.

The scientist's research focuses on several main topics, notably Computational Drug Discovery Methods, Machine Learning in Materials Science, Sentiment Analysis and Opinion Mining, Recommender Systems and Techniques, Topic Modeling, Knee Injuries and Reconstruction Techniques, and Digital Marketing and Social Media.

Salim's notable recent papers include:

  • "Service chatbots: A systematic review," 2021, Expert Systems with Applications
  • "Efficient Detection of Knee Anterior Cruciate Ligament from Magnetic Resonance Imaging Using Deep Learning Approach," 2021, Diagnostics
  • "Understanding Online Impulse Buying Behavior in Social Commerce: A Systematic Literature Review," 2020, IEEE Access
  • "COVID-19 epidemic in Malaysia: Impact of lockdown on infection dynamics," 2020, bioRxiv (Cold Spring Harbor Laboratory)
  • "Recommender System Based on Temporal Models: A Systematic Review," 2020, Applied Sciences

Frequent coauthors collaborating with Salim include Idris Rabiu, Maged Nasser, Aminu Da'u, Faisal Saeed, and Mazhar Javed Awan.

Salim regularly publishes in venues such as IEEE Access, Expert Systems with Applications, Molecules, Biomolecules, and Processes. Among these, IEEE Access and Expert Systems with Applications represent the most frequent outlets for their work.

Best Publications

  • Arrhythmia recognition and classification using combined linear and nonlinear features of ECG signals

    Fatin A. Elhaj;Naomie Salim;Arief R. Harris;Tan Tian Swee

  • Understanding Plagiarism Linguistic Patterns, Textual Features, and Detection Methods

    S. M. Alzahrani;N. Salim;A. Abraham

  • Recommendation system based on deep learning methods: a systematic review and new directions

    Aminu Da’u;Aminu Da’u;Naomie Salim

  • Detection of review spam

    Atefeh Heydari;Mohammad ali Tavakoli;Naomie Salim;Zahra Heydari

  • Combination of fingerprint-based similarity coefficients using data fusion.

    Naomie Salim;John D. Holliday;Peter Willett

  • Analysis and Display of the Size Dependence of Chemical Similarity Coefficients

    John D. Holliday;Naomie Salim;Martin Whittle;Peter Willett

  • Service chatbots: A systematic review

    Sinarwati Mohamad Suhaili;Naomie Salim;Mohamad Nazim Jambli

  • A framework for multi-document abstractive summarization based on semantic role labelling

    Atif Khan;Naomie Salim;Yogan Jaya Kumar

  • A process for building domain ontology: An experience in developing Solat ontology

    Saidah Saad;Naomie Salim;Hakim Zainal;Zurina Muda

  • Chemical named entities recognition: a review on approaches and applications

    Safaa Eltyeb;Safaa Eltyeb;Naomie Salim

  • Recommendation system exploiting aspect-based opinion mining with deep learning method

    Aminu Da'u;Aminu Da'u;Naomie Salim;Idris Rabiu;Akram Osman

  • A review on abstractive summarization methods

    Atif Khan;Naomie Salim

  • Understanding Online Impulse Buying Behavior in Social Commerce: A Systematic Literature Review

    Samah Abdelsalam;Naomie Salim;Rose Alinda Alias;Omayma Husain

  • An improved plagiarism detection scheme based on semantic role labeling

    Ahmed Hamza Osman;Naomie Salim;Mohammed Salem Binwahlan;Rihab Alteeb

  • Efficient Detection of Knee Anterior Cruciate Ligament from Magnetic Resonance Imaging Using Deep Learning Approach.

    Mazhar Javed Awan;Mazhar Javed Awan;Mohd Shafry Mohd Rahim;Naomie Salim;Mazin Abed Mohammed

  • Detection of fake opinions using time series

    Atefeh Heydari;Mohammadali Tavakoli;Naomie Salim

  • Fuzzy logic based method for improving text summarization

    Ladda Suanmali;Naomie Salim;Mohammed Salem Binwahlan

  • Automatic Multi Document Summarization Approaches

    Yogan Jaya Kumar;Naomie Salim

  • Fuzzy swarm diversity hybrid model for text summarization

    Mohammed Salem Binwahlan;Naomie Salim;Ladda Suanmali

  • Ligand-based virtual screening using Bayesian networks.

    Ammar Abdo;Beining Chen;Christoph Mueller;Naomie Salim

  • COVID-19 epidemic in Malaysia: Impact of lock-down on infection dynamics

    Naomie Salim;Weng Howe Chan;Shuhaimi Mansor;Nor Erne Nazira Bazin

Frequent Co-Authors

Peter Willett
Peter Willett University of Sheffield
Ajith Abraham
Ajith Abraham Sai University
Vasile Palade
Vasile Palade Coventry University
Siti Mariyam Shamsuddin
Siti Mariyam Shamsuddin University of Technology Malaysia
Mazin Abed Mohammed
Mazin Abed Mohammed University of Anbar
Karrar Hameed Abdulkareem
Karrar Hameed Abdulkareem Al-Muthana University
Kuan Yew Wong
Kuan Yew Wong University of Technology Malaysia
Tanzila Saba
Tanzila Saba Prince Sultan University
Amjad Rehman
Amjad Rehman Prince Sultan University
Anand Paul
Anand Paul Kyungpook National University

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