World's Best Scientists 2026 revealed!
Award Badge
Computer Science
Switzerland
2025

D-Index & Metrics

Computer Science

D-Index
69
Citations
16533
World Ranking
1993
National Ranking
46

Michele Lanza 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 Michele Lanza 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: 300 publications — 74th percentile

74% of scientists in this discipline score the same or lower.

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

Michele Lanza 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 Michele Lanza 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: 69 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 Switzerland Leader Award
  • 2022 - Research.com Computer Science in Switzerland Leader Award

Overview

Michele Lanza is affiliated with Universita della Svizzera Italiana in Switzerland. Their research primarily spans the field of Computer Science, with significant contributions to several subfields including Information Systems, Software, Artificial Intelligence, Signal Processing, and Computer Networks and Communications.

The scientist's work focuses on various topics within software engineering and analysis. These include:

  • Software Engineering Research
  • Software Reliability and Analysis Research
  • Software Testing and Debugging Techniques
  • Advanced Malware Detection Techniques
  • Software System Performance and Reliability
  • Data Visualization and Analytics
  • Software Engineering Techniques and Practices

Frequent coauthors collaborating with Michele Lanza are:

  • Gabriele Bavota
  • Bin Lin
  • Simone Scalabrino
  • Rocco Oliveto
  • Csaba Nagy

Their research is often published in notable academic venues, with the most frequent being:

  • ACM Transactions on Software Engineering and Methodology
  • Zenodo (CERN European Organization for Nuclear Research)
  • arXiv (Cornell University)
  • Empirical Software Engineering
  • Information and Software Technology

Examples of recent publications include:

  • Opinion Mining for Software Development: A Systematic Literature Review, 2022, ACM Transactions on Software Engineering and Methodology
  • How Software Refactoring Impacts Execution Time, 2021, ACM Transactions on Software Engineering and Methodology
  • CodeCity: A comparison of on-screen and virtual reality, 2022, Information and Software Technology
  • API compatibility issues in Android: Causes and effectiveness of data-driven detection techniques, 2020, Empirical Software Engineering
  • The Human Side of Fuzzing: Challenges Faced by Developers during Fuzzing Activities, 2023, ACM Transactions on Software Engineering and Methodology

Best Publications

  • Object-Oriented Metrics in Practice: Using Software Metrics to Characterize, Evaluate, and Improve the Design of Object-Oriented Systems

    Michele Lanza;Radu Marinescu

  • An extensive comparison of bug prediction approaches

    Marco D'Ambros;Michele Lanza;Romain Robbes

  • Evaluating defect prediction approaches: a benchmark and an extensive comparison

    Marco D'Ambros;Michele Lanza;Romain Robbes

  • Object-Oriented Metrics in Practice

    Michele Lanza;Radu Marinescu;Stéphane Ducasse

  • Polymetric views - a lightweight visual approach to reverse engineering

    M. Lanza;S. Ducasse

  • Visualizing Software Systems as Cities

    R. Wettel;M. Lanza

  • Software systems as cities: a controlled experiment

    Richard Wettel;Michele Lanza;Romain Robbes

  • The evolution matrix: recovering software evolution using software visualization techniques

    Michele Lanza

  • Mining StackOverflow to turn the IDE into a self-confident programming prompter

    Luca Ponzanelli;Gabriele Bavota;Massimiliano Di Penta;Rocco Oliveto

  • Linking e-mails and source code artifacts

    Alberto Bacchelli;Michele Lanza;Romain Robbes

  • Visualizing multiple evolution metrics

    Martin Pinzger;Harald Gall;Michael Fischer;Michele Lanza

  • Syde: a tool for collaborative software development

    Lile Hattori;Michele Lanza

  • Sentiment analysis for software engineering: how far can we go?

    Bin Lin;Fiorella Zampetti;Gabriele Bavota;Massimiliano Di Penta

  • Yesterday's Weather: guiding early reverse engineering efforts by summarizing the evolution of changes

    T. Girba;S. Ducasse;M. Lanza

  • Communication in open source software development mailing lists

    Anja Guzzi;Alberto Bacchelli;Michele Lanza;Martin Pinzger

  • How Program History Can Improve Code Completion

    R. Robbes;M. Lanza

  • Moose: an Extensible Language-Independent Environment for Reengineering Object-Oriented Systems

    Stéphane Ducasse;Michele Lanza;Sander Tichelaar

  • On the nature of commits

    L.P. Hattori;M. Lanza

  • On the Impact of Design Flaws on Software Defects

    Marco D'Ambros;Alberto Bacchelli;Michele Lanza

  • A hybrid reverse engineering approach combining metrics and program visualisation

    S. Demeyer;S. Ducasse;M. Lanza

  • A Change-based Approach to Software Evolution

    Romain Robbes;Michele Lanza

Frequent Co-Authors

Romain Robbes
Romain Robbes University of Bordeaux
Stéphane Ducasse
Stéphane Ducasse University of Lille
Gabriele Bavota
Gabriele Bavota Universita della Svizzera Italiana
Alberto Bacchelli
Alberto Bacchelli University of Zurich
Rocco Oliveto
Rocco Oliveto University of Molise
Massimiliano Di Penta
Massimiliano Di Penta University of Sannio
Oscar Nierstrasz
Oscar Nierstrasz University of Bern
Martin Pinzger
Martin Pinzger University of Klagenfurt
Serge Demeyer
Serge Demeyer University of Antwerp

If you think any of the details on this page are incorrect, let us know.

Report an issue

We appreciate your kind effort to assist us to improve this page, it would be helpful providing us with as much detail as possible in the text box below:

Related Online Degrees & Career Pathways

Exploring Computer Science in the USA opens doors to flexible online degrees and diverse career pathways. Many students seek programs that are both accessible and affordable, making online education a popular choice. For those interested in data-driven fields, a cheap online masters degree in data science can provide advanced analytical skills without a hefty price tag.

If you are considering a shift towards technology-driven sectors, project management is another powerful skill set. An accelerated option, like a 2 year construction management degree online, blends technical knowledge with leadership abilities for a growing job market.

Business-minded students may prefer enrolling in a cheap online mba, offering a broader perspective on management, entrepreneurship, and operations alongside tech expertise. If speed and efficiency are key factors for you, consider a 1 year online masters—a pathway to upskilling or career advancement in less time.

These flexible online degrees make it easier than ever for future computer scientists to tailor education to career goals and personal schedules.

Best Scientists Citing Michele Lanza

Trending Scientists

Recently Published Articles