World's Best Scientists 2026 revealed!

D-Index & Metrics

Engineering and Technology

D-Index
40
Citations
7105
World Ranking
7270
National Ranking
93

Hugues Bersini publication distribution in Engineering and Technology in 2026

The chart shows the distribution of publications by all Research.com ranked scientists in the field of Engineering and Technology in 2026. The highlighted bar marks where Hugues Bersini sits on this spectrum.

38–47 publications: 20 scientists 48–57 publications: 35 scientists 58–67 publications: 96 scientists 68–77 publications: 135 scientists 78–87 publications: 190 scientists 88–97 publications: 259 scientists 98–107 publications: 283 scientists 108–117 publications: 369 scientists 118–127 publications: 341 scientists 128–137 publications: 386 scientists 138–147 publications: 372 scientists 148–157 publications: 457 scientists 158–167 publications: 415 scientists 168–177 publications: 407 scientists 178–187 publications: 421 scientists 188–197 publications: 378 scientists 198–207 publications: 403 scientists 208–217 publications: 317 scientists 218–227 publications: 346 scientists 228–237 publications: 321 scientists 238–247 publications: 260 scientists 248–257 publications: 280 scientists 258–267 publications: 240 scientists 268–277 publications: 214 scientists 278–287 publications: 242 scientists 288–297 publications: 203 scientists 298–307 publications: 166 scientists 308–317 publications: 154 scientists 318–327 publications: 175 scientists 328–337 publications: 159 scientists 338–347 publications: 99 scientists 348–357 publications: 131 scientists 358–367 publications: 106 scientists 368–377 publications: 118 scientists 378–387 publications: 97 scientists 388–397 publications: 108 scientists 398–407 publications: 82 scientists 408–417 publications: 71 scientists 418–427 publications: 64 scientists 428–437 publications: 55 scientists 438–447 publications: 54 scientists 448–457 publications: 60 scientists 458–467 publications: 47 scientists 468–477 publications: 40 scientists 478–487 publications: 30 scientists 488–497 publications: 29 scientists 498–507 publications: 38 scientists 508–517 publications: 40 scientists 518–527 publications: 32 scientists 528–537 publications: 23 scientists 538–547 publications: 28 scientists 548–557 publications: 23 scientists 558–567 publications: 19 scientists 568–577 publications: 16 scientists 578–587 publications: 17 scientists 588–597 publications: 18 scientists 598–607 publications: 22 scientists 608–617 publications: 15 scientists 618–627 publications: 9 scientists 628–637 publications: 11 scientists 638–647 publications: 21 scientists 648–657 publications: 12 scientists 658–667 publications: 9 scientists 668–677 publications: 11 scientists 678–687 publications: 9 scientists 688–697 publications: 6 scientists 698–707 publications: 14 scientists 708–717 publications: 7 scientists 718–727 publications: 8 scientists 728–737 publications: 10 scientists 738–747 publications: 9 scientists 748–757 publications: 5 scientists 758–767 publications: 5 scientists 768–777 publications: 11 scientists 778–787 publications: 7 scientists 788–797 publications: 2 scientists 798–803 publications: 4 scientists 804+ publications: 100 scientists
38 publications 804+

This scientist: 251 publications — 64th percentile

64% of scientists in this discipline score the same or lower.

The last bar groups every scientist with 804 publications or more.

Hugues Bersini D-index placement in Engineering and Technology in 2026

The chart shows the D-index (discipline H-index) distribution of Engineering and Technology scientists ranked by Research.com in 2026. The highlighted bar marks where Hugues Bersini sits on this spectrum.

30 D-Index: 59 scientists 31 D-Index: 114 scientists 32 D-Index: 129 scientists 33 D-Index: 189 scientists 34 D-Index: 200 scientists 35 D-Index: 262 scientists 36 D-Index: 311 scientists 37 D-Index: 312 scientists 38 D-Index: 350 scientists 39 D-Index: 385 scientists 40 D-Index: 348 scientists 41 D-Index: 362 scientists 42 D-Index: 426 scientists 43 D-Index: 380 scientists 44 D-Index: 310 scientists 45 D-Index: 341 scientists 46 D-Index: 301 scientists 47 D-Index: 306 scientists 48 D-Index: 271 scientists 49 D-Index: 246 scientists 50 D-Index: 210 scientists 51 D-Index: 253 scientists 52 D-Index: 213 scientists 53 D-Index: 221 scientists 54 D-Index: 195 scientists 55 D-Index: 186 scientists 56 D-Index: 170 scientists 57 D-Index: 167 scientists 58 D-Index: 166 scientists 59 D-Index: 144 scientists 60 D-Index: 152 scientists 61 D-Index: 141 scientists 62 D-Index: 138 scientists 63 D-Index: 131 scientists 64 D-Index: 118 scientists 65 D-Index: 114 scientists 66 D-Index: 119 scientists 67 D-Index: 95 scientists 68 D-Index: 87 scientists 69 D-Index: 77 scientists 70 D-Index: 89 scientists 71 D-Index: 69 scientists 72 D-Index: 54 scientists 73 D-Index: 46 scientists 74 D-Index: 55 scientists 75 D-Index: 54 scientists 76 D-Index: 49 scientists 77 D-Index: 53 scientists 78 D-Index: 46 scientists 79 D-Index: 28 scientists 80 D-Index: 39 scientists 81 D-Index: 36 scientists 82 D-Index: 24 scientists 83 D-Index: 26 scientists 84 D-Index: 36 scientists 85 D-Index: 18 scientists 86 D-Index: 25 scientists 87 D-Index: 19 scientists 88 D-Index: 26 scientists 89 D-Index: 27 scientists 90 D-Index: 23 scientists 91 D-Index: 15 scientists 92 D-Index: 12 scientists 93 D-Index: 9 scientists 94 D-Index: 15 scientists 95 D-Index: 10 scientists 96 D-Index: 13 scientists 97 D-Index: 13 scientists 98 D-Index: 9 scientists 99 D-Index: 7 scientists 100 D-Index: 7 scientists 101 D-Index: 8 scientists 102 D-Index: 7 scientists 103 D-Index: 7 scientists 104 D-Index: 9 scientists 105 D-Index: 6 scientists 106 D-Index: 9 scientists 107+ D-Index: 99 scientists
30 D-Index 107+

This scientist: 40 D-Index — 27th percentile

27% of scientists in this discipline score the same or lower.

The last bar groups every scientist with 107 D-Index or more.

Overview

Hugues Bersini is affiliated with the Université Libre de Bruxelles in Belgium. Their research spans across Medicine and Computer Science, focusing primarily on cardiology and cardiovascular medicine and artificial intelligence within these domains.

Their research contributions prominently address areas such as ECG monitoring and analysis, atrial fibrillation management and outcomes, heart rate variability and autonomic control, and cardiac electrophysiology and arrhythmias. They also have work related to cloud computing and resource management, advanced database systems and queries, and evolutionary algorithms and applications.

Bersini has published several papers, including:

  • Autonomic nervous system assessment using heart rate variability (2023) in Acta cardiologica. Supplementum
  • Role of the autonomic nervous system and premature atrial contractions in short-term paroxysmal atrial fibrillation forecasting: Insights from machine learning models (2022) in Archives of cardiovascular diseases
  • IRIDIA-AF, a large paroxysmal atrial fibrillation long-term electrocardiogram monitoring database (2023) in Scientific Data
  • Automatic configuration of the Cassandra database using irace (2021) in PeerJ Computer Science
  • Ant: a process aware annotation software for regulatory compliance (2023) in Artificial Intelligence and Law

Frequently collaborating coauthors include:

  • Cédric Gilon
  • Stéphane Carlier
  • Jean-Marie Grégoire
  • Pascal Francq
  • Nicolas van Zeebroeck

The venues where Bersini most often publishes include:

  • Archives of cardiovascular diseases
  • Scientific Data
  • Archives of Cardiovascular Diseases Supplements
  • European Heart Journal
  • Proceedings of the Genetic and Evolutionary Computation Conference Companion

Best Publications

  • A Survey on Filter Techniques for Feature Selection in Gene Expression Microarray Analysis

    C. Lazar;J. Taminau;S. Meganck;D. Steenhoff

  • Batch effect removal methods for microarray gene expression data integration: a survey

    Cosmin Lazar;Stijn Meganck;Jonatan Taminau;David Steenhoff

  • Lazy learning for local modelling and control design

    Gianluca Bontempi;Mauro Birattari;Hugues Bersini

  • Hybridizing genetic algorithms with hill-climbing methods for global optimization: two possible ways

    J.-M. Renders;H. Bersini

  • Hints for Adaptive Problem Solving Gleaned from Immune Networks

    Hugues Bersini;Francisco Varela

  • Unlocking the potential of publicly available microarray data using inSilicoDb and inSilicoMerging R/Bioconductor packages

    Jonatan Taminau;Stijn Meganck;Cosmin Lazar;David Steenhoff

  • Default Cascades in Complex Networks: Topology and Systemic Risk

    Tarik Roukny;Hugues Bersini;Hugues Pirotte;Guido Caldarelli

  • Emergence of homochirality in far-from-equilibrium systems: mechanisms and role in prebiotic chemistry.

    Raphaël Plasson;Dilip K. Kondepudi;Hugues Bersini;Auguste A. Commeyras

  • Separation of samples into their constituents using gene expression data

    D Venet;F Pecasse;Carine Maenhaut;Hugues Bersini

  • Long and Short-Term Recommendations with Recurrent Neural Networks

    Robin Devooght;Hugues Bersini

  • Results of the first international contest on evolutionary optimisation (1st ICEO)

    H. Bersini;M. Dorigo;S. Langerman;G. Seront

  • CONDOR, a new parallel, constrained extension of Powell's UOBYQA algorithm: experimental results and comparison with the DFO algorithm

    Frank Vanden Berghen;Hugues Bersini

  • The Immune Recruitment Mechanism: A Selective Evolutionary Strategy

    Hugues Bersini;Francisco Varela;Richard K. Belew;Lashon B. Booker

  • Recycling Frank: Spontaneous emergence of homochirality in noncatalytic systems

    Raphaël Plasson;Hugues Bersini;Auguste A. Commeyras

  • Asynchrony induces stability in cellular automata based models

    Hugues Bersini;Vincent Detours;Rodney A. Brooks;Pattie Maes

  • Lazy Learning Meets the Recursive Least Squares Algorithm

    Mauro Birattari;Gianluca Bontempi;Hugues Bersini

  • A comparison of Q-learning and classifier systems

    Marco Dorigo;Hugues Bersini

  • Recurrent fuzzy systems

    V. Gorrini;H. Bersini

  • UML for ABM

    Hugues Bersini

  • The local paradigm for modeling and control: from neuro-fuzzy to lazy learning

    Gianluca Bontempi;Hugues Bersini;Mauro Birattari

  • Results of the First International Contest on Evolutionary Optimisation

    Hugues Bersini;Marco Dorigo;Stefan Langerman;Grégory Seront

Frequent Co-Authors

Gianluca Bontempi
Gianluca Bontempi Université Libre de Bruxelles
Mauro Birattari
Mauro Birattari Université Libre de Bruxelles
Francisco C. Santos
Francisco C. Santos Instituto Superior Técnico
Ann Nowé
Ann Nowé Vrije Universiteit Brussel
Francisco J. Varela
Francisco J. Varela Centre national de la recherche scientifique, CNRS
Marco Dorigo
Marco Dorigo Université Libre de Bruxelles
Carine Maenhaut
Carine Maenhaut Université Libre de Bruxelles
David Klatzmann
David Klatzmann Sorbonne University
Luca Maria Gambardella
Luca Maria Gambardella Dalle Molle Institute for Artificial Intelligence Research
Axel Brandenburg
Axel Brandenburg Nordic Institute for Theoretical Physics

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