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Computer Science

D-Index
34
Citations
7642
World Ranking
11951
National Ranking
591

Alaa Tharwat 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 Alaa Tharwat 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: 71 publications — 2nd percentile

2% of scientists in this discipline score the same or lower.

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

Alaa Tharwat 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 Alaa Tharwat 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: 34 D-Index — 16th percentile

16% 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 Rising Stars Award

Overview

Alaa Tharwat is affiliated with Frankfurt University of Applied Sciences in Germany and conducts research primarily in the field of Computer Science, with a focus on Artificial Intelligence and related subfields. Their work spans several specialized areas within computer science including computational theory, mathematics, astronomy, computer vision, and sociology.

The researcher has explored multiple topics related to machine learning and algorithms, data classification, and optimization techniques. Key topics of their publications include:

  • Machine Learning and Algorithms
  • Machine Learning and Data Classification
  • Imbalanced Data Classification Techniques
  • Text and Document Classification Technologies
  • Metaheuristic Optimization Algorithms Research
  • Advanced Multi-Objective Optimization Algorithms
  • Evolutionary Algorithms and Applications

Alaa Tharwat's recent papers cover areas such as active learning, optimization algorithms, and data imbalance challenges. Notable publications include:

  • "A Survey on Active Learning: State-of-the-Art, Practical Challenges and Research Directions" (2023) published in Mathematics
  • "A conceptual and practical comparison of PSO-style optimization algorithms" (2020) published in Expert Systems with Applications
  • "Balancing Exploration and Exploitation: A novel active learner for imbalanced data" (2020) published in Knowledge-Based Systems
  • "Rough sets and social ski-driver optimization for drug toxicity analysis" (2020) published in Computer Methods and Programs in Biomedicine
  • "A Novel Low-Query-Budget Active Learner with Pseudo-Labels for Imbalanced Data" (2022) published in Mathematics

Their frequent collaborators include Wolfram Schenck, Ashraf Darwish, Aboul Ella Hassanien, and Medhat M. Farghaly. The researcher's contributions have been published in various venues with multiple works in Mathematics, as well as in Expert Systems with Applications, Knowledge-Based Systems, Computer Methods and Programs in Biomedicine, and arXiv.

This body of work highlights a consistent focus on algorithmic development in artificial intelligence and machine learning, tackling challenges such as imbalanced datasets and optimization problems. Their research outputs contribute to both theoretical advancements and practical applications within computational sciences.

Best Publications

  • Classification assessment methods

    Alaa Tharwat

  • Linear discriminant analysis: A detailed tutorial

    Alaa Tharwat;Alaa Tharwat;Tarek Gaber;Abdelhameed Ibrahim;Aboul Ella Hassanien

  • Linear vs. quadratic discriminant analysis classifier: a tutorial

    Alaa Tharwat

  • Bezier Curve Based Path Planning in a Dynamic Field using Modified Genetic Algorithm

    Mohamed Elhoseny;Mohamed Elhoseny;Alaa Tharwat;Alaa Tharwat;Aboul Ella Hassanien

  • Chaotic dragonfly algorithm: an improved metaheuristic algorithm for feature selection

    Gehad Ismail Sayed;Alaa Tharwat;Alaa Tharwat;Aboul Ella Hassanien

  • Principal component analysis - a tutorial

    Alaa Tharwat

  • Intelligent Bézier curve-based path planning model using Chaotic Particle Swarm Optimization algorithm

    Alaa Tharwat;Alaa Tharwat;Mohamed Elhoseny;Mohamed Elhoseny;Aboul Ella Hassanien;Thomas Gabel

  • Independent component analysis: An introduction

    Alaa Tharwat

  • Parameter investigation of support vector machine classifier with kernel functions

    Alaa Tharwat

  • A BA-based algorithm for parameter optimization of Support Vector Machine

    Alaa Tharwat;Aboul Ella Hassanien;Basem E. Elnaghi

  • K -Coverage Model Based on Genetic Algorithm to Extend WSN Lifetime

    Mohamed Elhoseny;Alaa Tharwat;Ahmed Farouk;Aboul Ella Hassanien

  • Optimizing K-coverage of mobile WSNs

    Mohamed Elhoseny;Alaa Tharwat;Xiaohui Yuan;Aboul Ella Hassanien

  • A conceptual and practical comparison of PSO-style optimization algorithms

    Unknown

  • Recognizing human activity in mobile crowdsensing environment using optimized k-NN algorithm

    Alaa Tharwat;Alaa Tharwat;Hani Mahdi;Mohamed Elhoseny;Mohamed Elhoseny;Aboul Ella Hassanien

  • A Survey on Active Learning: State-of-the-Art, Practical Challenges and Research Directions

    Unknown

  • Biometric cattle identification approach based on Weber's Local Descriptor and AdaBoost classifier

    Tarek Gaber;Alaa Tharwat;Aboul Ella Hassanien;Vaclav Snasel

  • Parameters optimization of support vector machines for imbalanced data using social ski driver algorithm

    Alaa Tharwat;Thomas Gabel

  • MOGOA algorithm for constrained and unconstrained multi-objective optimization problems

    Alaa Tharwat;Alaa Tharwat;Essam H. Houssein;Mohammed M. Ahmed;Aboul Ella Hassanien

  • Chaotic antlion algorithm for parameter optimization of support vector machine

    Alaa Tharwat;Aboul Ella Hassanien

  • SIFT-Based Arabic Sign Language Recognition System

    Alaa Tharwat;Tarek Gaber;Aboul Ella Hassanien;Mohamed K. Shahin

  • Moth-flame optimization for training Multi-Layer Perceptrons

    Waleed Yamany;Mohammed Fawzy;Alaa Tharwat;Aboul Ella Hassanien

  • Classification of toxicity effects of biotransformed hepatic drugs using whale optimized support vector machines

    Alaa Tharwat;Yasmine S. Moemen;Aboul Ella Hassanien

Frequent Co-Authors

Aboul Ella Hassanien
Aboul Ella Hassanien Cairo University
Mohamed Elhoseny
Mohamed Elhoseny University of Sharjah
Vaclav Snasel
Vaclav Snasel Technical University of Ostrava
Gerald Schaefer
Gerald Schaefer Loughborough University
Jeng-Shyang Pan
Jeng-Shyang Pan Shandong University of Science and Technology
Nilanjan Dey
Nilanjan Dey Techno International New Town
Tai-hoon Kim
Tai-hoon Kim Beijing Jiaotong University
Essam H. Houssein
Essam H. Houssein Minia University
Hossam M. Zawbaa
Hossam M. Zawbaa Beni-Suef University

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