World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
44
Citations
10570
World Ranking
7448
National Ranking
445

Vasile Palade 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 Vasile Palade 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: 297 publications — 73rd percentile

73% of scientists in this discipline score the same or lower.

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

Vasile Palade 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 Vasile Palade 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.

Overview

Vasile Palade is affiliated with Coventry University in the United Kingdom. Their research work spans primarily across the fields of Computer Science and Engineering, with a significant focus on Artificial Intelligence, Computer Vision and Pattern Recognition, Electrical and Electronic Engineering, Automotive Engineering, and Computational Theory and Mathematics.

Their research covers multiple advanced topics including Autonomous Vehicle Technology and Safety, Indoor and Outdoor Localization Technologies, Metaheuristic Optimization Algorithms Research, Advanced Neural Network Applications, Topic Modeling, Machine Learning and Extreme Learning Machines (ELM), and Advanced Multi-Objective Optimization Algorithms.

Palade has contributed to a number of scientific publications in well-recognized venues. The most frequent publication outlets include:

  • arXiv (Cornell University)
  • SSRN Electronic Journal
  • Electronics
  • Sensors
  • Mathematics

Regarding recent scientific papers, the following has been documented:

  • Efficient activity recognition using lightweight CNN and DS-GRU network for surveillance applications, 2021, Applied Soft Computing
  • Deep neural networks in the cloud: Review, applications, challenges and research directions, 2023, Neurocomputing
  • Brain Tumor Classification Using a Combination of Variational Autoencoders and Generative Adversarial Networks, 2022, Biomedicines
  • Convolution neural networks for pothole detection of critical road infrastructure, 2022, Computers & Electrical Engineering
  • Improving Skin Cancer Classification Using Heavy-Tailed Student T-Distribution in Generative Adversarial Networks (TED-GAN), 2021, Diagnostics

Palade has collaborated frequently with several coauthors, including:

  • Jun Sun
  • Stratis Kanarachos
  • Chao Li
  • Uche Onyekpe
  • Karim El Moutaouakil

Their contributions also include book publications predominantly with Springer Nature and Springer Science+Business Media. Notable titles encompass:

  • Generative Adversarial Learning: Architectures and Applications, 2022
  • Explainable AI: Foundations, Methodologies and Applications, 2022
  • Deep Learning Applications, Volume 2, 2020
  • Emerging Trends in Photonics, Signal Processing and Communication Engineering, 2020

Best Publications

  • An insight into classification with imbalanced data: Empirical results and current trends on using data intrinsic characteristics

    Victoria López;Alberto Fernández;Salvador García;Vasile Palade

  • FSVM-CIL: Fuzzy Support Vector Machines for Class Imbalance Learning

    Rukshan Batuwita;Vasile Palade

  • Quantum-behaved particle swarm optimization: Analysis of individual particle behavior and parameter selection

    Jun Sun;Wei Fang;Xiaojun Wu;Vasile Palade

  • Class Imbalance Learning Methods for Support Vector Machines

    Vasile Palade

  • microPred: effective classification of pre-miRNAs for human miRNA gene prediction

    Rukshan Batuwita;Vasile Palade

  • Convergence analysis and improvements of quantum-behaved particle swarm optimization

    Jun Sun;Xiaojun Wu;Vasile Palade;Wei Fang

  • Multi-Classifier Systems: Review and a roadmap for developers

    Romesh Ranawana;Vasile Palade

  • Quantum-behaved particle swarm optimization with Gaussian distributed local attractor point

    Jun Sun;Wei Fang;Vasile Palade;Xiaojun Wu

  • Solving the Power Economic Dispatch Problem With Generator Constraints by Random Drift Particle Swarm Optimization

    Jun Sun;Vasile Palade;Xiao-Jun Wu;Wei Fang

  • An Effective Method of Weld Defect Detection and Classification Based on Machine Vision

    Jun Sun;Chao Li;Xiao-Jun Wu;Vasile Palade

  • Interactive machine learning: experimental evidence for the human in the algorithmic loop

    Andreas Holzinger;Markus Plass;Michael D. Kickmeier-Rust;Katharina Holzinger

  • Arabic language sentiment analysis on health services

    Abdulaziz M. Alayba;Vasile Palade;Matthew England;Rahat Iqbal

  • A Combined CNN and LSTM Model for Arabic Sentiment Analysis

    Abdulaziz M. Alayba;Vasile Palade;Matthew England;Rahat Iqbal

  • Deep neural networks in the cloud: Review, applications, challenges and research directions

    Unknown

  • Efficient activity recognition using lightweight CNN and DS-GRU network for surveillance applications

    Amin Ullah;Khan Muhammad;Weiping Ding;Vasile Palade

  • Efficient resampling methods for training support vector machines with imbalanced datasets

    Rukshan Batuwita;Vasile Palade

  • Towards interactive Machine Learning (iML): Applying Ant Colony Algorithms to Solve the Traveling Salesman Problem with the Human-in-the-Loop Approach

    Andreas Holzinger;Markus Plass;Katharina Holzinger;Gloria Cerasela Crisan

  • Computational Intelligence in Fault Diagnosis

    Vasile Palade;Cosmin Danut Bocaniala

  • Edge Intelligence-Assisted Smoke Detection in Foggy Surveillance Environments

    Khan Muhammad;Salman Khan;Vasile Palade;Irfan Mehmood

  • Neuro-Fuzzy Ensemble Approach for Microarray Cancer Gene Expression Data Analysis

    Zhenyu Wang;V. Palade;Yong Xu

  • Model-based fault detection and isolation of a steam generator using neuro-fuzzy networks

    Roozbeh Razavi-Far;Hadi Davilu;Vasile Palade;Caro Lucas

  • Automatic screening and classification of diabetic retinopathy and maculopathy using fuzzy image processing

    Sarni Suhaila Rahim;Sarni Suhaila Rahim;Vasile Palade;James Shuttleworth;Chrisina Jayne

Frequent Co-Authors

Jun Sun
Jun Sun Jiangnan University
Xiaojun Wu
Xiaojun Wu University of Science and Technology of China
Andreas Holzinger
Andreas Holzinger BOKU University
Mehrdad Saif
Mehrdad Saif University of Windsor
Lakhmi C. Jain
Lakhmi C. Jain University of South Australia
Kit Yan Chan
Kit Yan Chan Curtin University
Enrico Zio
Enrico Zio Polytechnic University of Milan
Caro Lucas
Caro Lucas University of Tehran
Ron J. Patton
Ron J. Patton University of Hull
Tharam S. Dillon
Tharam S. Dillon La Trobe University

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