World's Best Scientists 2026 revealed!
Giuliano Antoniol

Giuliano Antoniol

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Computer Science
Canada
2025

D-Index & Metrics

Computer Science

D-Index
70
Citations
16237
World Ranking
1900
National Ranking
69

Giuliano Antoniol 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 Giuliano Antoniol 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: 324 publications — 78th percentile

78% of scientists in this discipline score the same or lower.

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

Giuliano Antoniol 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 Giuliano Antoniol 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: 70 D-Index — 87th percentile

87% 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 Computer Science in Canada Leader Award
  • 2023 - Research.com Computer Science in Canada Leader Award
  • 2022 - Research.com Computer Science in Canada Leader Award

Overview

Giuliano Antoniol is affiliated with Polytechnique Montréal in Canada and specializes in computer science with a focus on software engineering and related subfields. Their research primarily addresses areas within software engineering research, software testing and debugging techniques, and software system performance and reliability.

The main fields of study covered by their work include:

  • Computer Science

Within this broad discipline, Antoniol's contributions span several subfields of study:

  • Information Systems
  • Artificial Intelligence
  • Software
  • Computer Networks and Communications
  • Signal Processing

Their research topics highlight various aspects of software engineering and machine learning, specifically:

  • Software Engineering Research
  • Software Testing and Debugging Techniques
  • Software System Performance and Reliability
  • Computational Physics and Python Applications
  • Adversarial Robustness in Machine Learning
  • Software Reliability and Analysis Research
  • Advanced Malware Detection Techniques

Antoniol has published extensively in multiple venues. Some of the frequent publication venues include:

  • arXiv (Cornell University)
  • Zenodo (CERN European Organization for Nuclear Research)
  • Empirical Software Engineering
  • PolyPublie (École Polytechnique de Montréal)
  • ACM Transactions on Software Engineering and Methodology

Recent papers authored or coauthored by Antoniol span important topics related to software bugs, mutation testing, and cancer prognosis with a computational component. Notable recent publications include:

  • "Silent bugs in deep learning frameworks: an empirical study of Keras and TensorFlow," 2023, Empirical Software Engineering
  • "A search-based framework for automatic generation of testing environments for cyber-physical systems," 2022, Information and Software Technology
  • "Bugs in large language models generated code: an empirical study," 2025, Empirical Software Engineering
  • "A probabilistic framework for mutation testing in deep neural networks," 2022, Information and Software Technology
  • "Expression of c-MET in Estrogen Receptor Positive and HER2 Negative Resected Breast Cancer Correlated with a Poor Prognosis," 2022, Journal of Clinical Medicine

Frequent collaborators in Antoniol's research include:

  • Foutse Khomh
  • Florian Tambon
  • Massimiliano Di Penta
  • Fiorella Zampetti
  • Cyrine Zid

Best Publications

  • Recovering traceability links between code and documentation

    G. Antoniol;G. Canfora;G. Casazza;A. De Lucia

  • Comparison and Evaluation of Clone Detection Tools

    S. Bellon;R. Koschke;G. Antoniol;J. Krinke

  • Feature Location Using Probabilistic Ranking of Methods Based on Execution Scenarios and Information Retrieval

    D. Poshyvanyk;Y.-G. Gueheneuc;A. Marcus;G. Antoniol

  • Is it a bug or an enhancement?: a text-based approach to classify change requests

    Giuliano Antoniol;Kamel Ayari;Massimiliano Di Penta;Foutse Khomh

  • An exploratory study of the impact of antipatterns on class change- and fault-proneness

    Foutse Khomh;Massimiliano Di Penta;Yann-Gaël Guéhéneuc;Giuliano Antoniol

  • An Empirical Study of the Impact of Two Antipatterns, Blob and Spaghetti Code, on Program Comprehension

    Marwen Abbes;Foutse Khomh;Yann-Gael Gueheneuc;Giuliano Antoniol

  • DeMIMA: A Multilayered Approach for Design Pattern Identification

    Y.-G. Gueheneuc;G. Antoniol

  • EEG data compression techniques

    G. Antoniol;P. Tonella

  • CERBERUS: Tracing Requirements to Source Code Using Information Retrieval, Dynamic Analysis, and Program Analysis

    M. Eaddy;A.V. Aho;G. Antoniol;Y.-G. Gueheneuc

  • Design pattern recovery in object-oriented software

    G. Antoniol;R. Fiutem;L. Cristoforetti

  • Analyzing cloning evolution in the Linux kernel

    G. Antoniol;U. Villano;E. Merlo;M. Di Penta

  • AURA: a hybrid approach to identify framework evolution

    Wei Wu;Yann-Gaël Guéhéneuc;Giuliano Antoniol;Miryung Kim

  • Information retrieval models for recovering traceability links between code and documentation

    Unknown

  • Combining Probabilistic Ranking and Latent Semantic Indexing for Feature Identification

    D. Poshyvanyk;A. Marcus;V. Rajlich;Y.-G. Gueheneuc

  • Feature identification: a novel approach and a case study

    G. Antoniol;Y.-G. Gueheneuc

  • Object oriented design pattern inference

    P. Tonella;G. Antoniol

  • Search-based techniques applied to optimization of project planning for a massive maintenance project

    G. Antoniol;M. Di Penta;M. Harman

  • Automatic mutation test input data generation via ant colony

    Kamel Ayari;Salah Bouktif;Giuliano Antoniol

  • Trustrace: Mining Software Repositories to Improve the Accuracy of Requirement Traceability Links

    Nasir Ali;Yann-Ga #x Eb

  • Using metrics to identify design patterns in object-oriented software

    G. Antoniol;R. Fiutem;L. Cristoforetti

  • Feature Identification: An Epidemiological Metaphor

    G. Antoniol;Y.-G. Gueheneuc

Frequent Co-Authors

Yann-Gaël Guéhéneuc
Yann-Gaël Guéhéneuc Concordia University
Ettore Merlo
Ettore Merlo Polytechnique Montréal
Foutse Khomh
Foutse Khomh Polytechnique Montréal
Massimiliano Di Penta
Massimiliano Di Penta University of Sannio
Paolo Tonella
Paolo Tonella Universita della Svizzera Italiana
Marcello Federico
Marcello Federico Amazon (United States)
Jane Huffman Hayes
Jane Huffman Hayes University of Kentucky
Rocco Oliveto
Rocco Oliveto University of Molise
Gerardo Canfora
Gerardo Canfora University of Sannio
Filippo Ricca
Filippo Ricca University of Genoa

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