World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
34
Citations
6223
World Ranking
12028
National Ranking
467

Vladimir Makarenkov 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 Vladimir Makarenkov 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: 122 publications — 16th percentile

16% of scientists in this discipline score the same or lower.

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

Vladimir Makarenkov 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 Vladimir Makarenkov 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.

Overview

Vladimir Makarenkov is affiliated with the University of Quebec at Montreal in Canada, focusing on interdisciplinary research at the intersection of computer science and molecular biology. Their scholarly contributions encompass computational methods applied to biological data and artificial intelligence techniques in healthcare diagnostics.

Their research spans various fields, primarily:

  • Computer Science
  • Biochemistry, Genetics and Molecular Biology

Within these domains, their subfield concentrations include:

  • Artificial Intelligence
  • Molecular Biology
  • Statistical and Nonlinear Physics
  • Computer Vision and Pattern Recognition
  • Radiology, Nuclear Medicine and Imaging

Makarenkov's work addresses multiple topics, such as:

  • Genomics and Phylogenetic Studies
  • AI in cancer detection
  • Advanced Clustering Algorithms Research
  • Bioinformatics and Genomic Networks
  • Imbalanced Data Classification Techniques
  • RNA and protein synthesis mechanisms
  • COVID-19 diagnosis using AI

Their publication record features frequent venues including:

  • arXiv (Cornell University)
  • Bioinformatics
  • Information Fusion
  • PLoS ONE
  • bioRxiv (Cold Spring Harbor Laboratory)

Selected recent papers exemplify the scope of Makarenkov's research contributions:

  • A review of uncertainty quantification in deep learning: Techniques, applications and challenges (2021, Information Fusion)
  • Uncertainty quantification in skin cancer classification using three-way decision-based Bayesian deep learning (2021, Computers in Biology and Medicine)
  • SimPlot++: a Python application for representing sequence similarity and detecting recombination (2022, Bioinformatics)
  • UncertaintyFuseNet: Robust uncertainty-aware hierarchical feature fusion model with Ensemble Monte Carlo Dropout for COVID-19 detection (2022, Information Fusion)
  • Using traditional machine learning and deep learning methods for on- and off-target prediction in CRISPR/Cas9: a review (2023, Briefings in Bioinformatics)

Their frequent collaborators include:

  • Moloud Abdar
  • Bogdan Mazoure
  • U. Rajendra Acharya
  • Nadia Tahiri
  • Abbas Khosravi

Best Publications

  • A Review of Uncertainty Quantification in Deep Learning: Techniques, Applications and Challenges

    Moloud Abdar;Farhad Pourpanah;Sadiq Hussain;Dana Rezazadegan

  • A Review of Uncertainty Quantification in Deep Learning: Techniques, Applications and Challenges

    Moloud Abdar;Farhad Pourpanah;Sadiq Hussain;Dana Rezazadegan

  • T-REX: a web server for inferring, validating and visualizing phylogenetic trees and networks

    Alix Boc;Alpha Boubacar Diallo;Vladimir Makarenkov

  • A new machine learning technique for an accurate diagnosis of coronary artery disease

    Moloud Abdar;Wojciech Książek;U Rajendra Acharya;U Rajendra Acharya;U Rajendra Acharya;Ru-San Tan

  • Uncertainty quantification in skin cancer classification using three-way decision-based Bayesian deep learning

    Moloud Abdar;Maryam Samami;Sajjad Dehghani Mahmoodabad;Thang Doan

  • T-REX: reconstructing and visualizing phylogenetic trees and reticulation networks.

    Vladimir Makarenkov

  • Nonlinear redundancy analysis and canonical correspondence analysis based on polynomial regression

    Vladimir Makarenkov;Pierre Legendre

  • Optimal Variable Weighting for Ultrametric and Additive Trees and K-means Partitioning: Methods and Software

    Vladimir Makarenkov;Pierre Legendre

  • DGHNL: A new deep genetic hierarchical network of learners for prediction of credit scoring

    Paweł Pławiak;Moloud Abdar;Joanna Pławiak;Vladimir Makarenkov

  • From a phylogenetic tree to a reticulated network.

    Vladimir Makarenkov;Pierre Legendre

  • An efficient method for the detection and elimination of systematic error in high-throughput screening

    Vladimir Makarenkov;Pablo Zentilli;Dmytro Kevorkov;Andrei Gagarin

  • CWV-BANN-SVM ensemble learning classifier for an accurate diagnosis of breast cancer

    Moloud Abdar;Vladimir Makarenkov

  • Inferring and Validating Horizontal Gene Transfer Events Using Bipartition Dissimilarity

    Alix Boc;Hervé Philippe;Vladimir Makarenkov

  • Phylogenetic Network Construction Approaches

    Vladimir Makarenkov;Dmytro Kevorkov;Pierre Legendre

  • NE-nu-SVC: A New Nested Ensemble Clinical Decision Support System for Effective Diagnosis of Coronary Artery Disease

    Moloud Abdar;U. Rajendra Acharya;Nizal Sarrafzadegan;Vladimir Makarenkov

  • A Hybrid Latent Space Data Fusion Method for Multimodal Emotion Recognition

    Shahla Nemati;Reza Rohani;Mohammad Ehsan Basiri;Moloud Abdar

  • Statistical Analysis of Systematic Errors in High-Throughput Screening:

    Dmytro Kevorkov;Vladimir Makarenkov

  • An Algorithm for the Fitting of a Tree Metric According to a Weighted Least-Squares Criterion

    Vladimir Makarenkov;Bruno Leclerc

  • A weighted least-squares approach for inferring phylogenies from incomplete distance matrices

    Vladimir Makarenkov;François-Joseph Lapointe

  • Using the stability of objects to determine the number of clusters in datasets

    Etienne Lord;Matthieu Willems;Franois-Joseph Lapointe;Vladimir Makarenkov

  • Ancestors 1.0

    Abdoulaye Banire Diallo;Vladimir Makarenkov;Mathieu Blanchette

  • Automated detection of Shockable ECG signals: a review

    Mohamed Hammad;Rajesh N.V.P.S. Kandala;Amira Abdelatey;Moloud Abdar

  • IAPSO-AIRS: A novel improved machine learning-based system for wart disease treatment

    Moloud Abdar;Vivi Nur Wijayaningrum;Sadiq Hussain;Roohallah Alizadehsani

Frequent Co-Authors

U. Rajendra Acharya
U. Rajendra Acharya University of Southern Queensland
Moloud Abdar
Moloud Abdar Deakin University
Pierre Legendre
Pierre Legendre University of Montreal
Mathieu Blanchette
Mathieu Blanchette McGill University
Boris Mirkin
Boris Mirkin National Research University Higher School of Economics
Pedro R. Peres-Neto
Pedro R. Peres-Neto Concordia University
Saeid Nahavandi
Saeid Nahavandi Swinburne University of Technology
Eric Bapteste
Eric Bapteste Sorbonne University
Ahmed A. Abd El-Latif
Ahmed A. Abd El-Latif Menoufia University
Arcady Mushegian
Arcady Mushegian National Science Foundation

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