World's Best Scientists 2026 revealed!
Sandro Morasca

Sandro Morasca

D-Index & Metrics

Computer Science

D-Index
32
Citations
6118
World Ranking
12962
National Ranking
453

Sandro Morasca 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 Sandro Morasca 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: 180 publications — 38th percentile

38% of scientists in this discipline score the same or lower.

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

Sandro Morasca 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 Sandro Morasca 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: 32 D-Index — 10th percentile

10% of scientists in this discipline score the same or lower.

The last bar groups every scientist with 131 D-Index or more.

Overview

Sandro Morasca is affiliated with the University of Insubria in Italy and works within the field of Computer Science, with a focus that extends into several subfields. Their research primarily involves Information Systems, Software, Artificial Intelligence, Computer Science Applications, and Computer Networks and Communications.

The scientist's research topics cover areas including Software Engineering Research, Software Reliability and Analysis Research, Imbalanced Data Classification Techniques, Software System Performance and Reliability, Software Testing and Debugging Techniques, Software Engineering Techniques and Practices, and Teaching and Learning Programming.

Morasca has contributed to various frequent publication venues, notably:

  • Empirical Software Engineering
  • Journal of Systems and Software
  • IEEE Access
  • IrInSubria (University of Insubria)
  • Information and Software Technology

Notable recent papers authored or co-authored by Morasca include:

  • On the assessment of software defect prediction models via ROC curves (2020) published in Empirical Software Engineering

Other related works within their frequent co-authors' research include:

  • An empirical evaluation of the "Cognitive Complexity" measure as a predictor of code understandability (2022) published in Journal of Systems and Software
  • Comparing ϕ and the F-measure as performance metrics for software-related classifications (2022) published in Empirical Software Engineering
  • Common Problems With the Usage of F-Measure and Accuracy Metrics in Medical Research (2023) published in IEEE Access
  • An empirical study on software understandability and its dependence on code characteristics (2023) published in Empirical Software Engineering

The scientist collaborates frequently with several researchers, including Luigi Lavazza, Davide Tosi, Gabriele Rotoloni, Letizia Jaccheri, and Abedallah Zaid Abualkishik. Luigi Lavazza is the most frequent co-author, contributing to numerous joint publications.

Best Publications

  • Property-based software engineering measurement

    L.C. Briand;S. Morasca;V.R. Basili

  • A unified high-level Petri net formalism for time-critical systems

    C. Ghezzi;D. Mandrioli;S. Morasca;M. Pezze

  • On the application of measurement theory in software engineering

    Lionel C. Briand;Khaled El Emam;Sandro Morasca

  • Issues in using students in empirical studies in software engineering education

    J. Carver;L. Jaccheri;S. Morasca;F. Shull

  • Defining and validating measures for object-based high-level design

    L.C. Briand;S. Morasca;V.R. Basili

  • An operational process for goal-driven definition of measures

    L.C. Briand;S. Morasca;V.R. Basili

  • Generating test cases for real-time systems from logic specifications

    Dino Mandrioli;Sandro Morasca;Angelo Morzenti

  • Theoretical and Empirical Validation of Software Product Measures

    Lionel C. Briand;Khaled El Emam;Sandro Morasca

  • Measuring and assessing maintainability at the end of high level design

    L.C. Briand;S. Morasca;V.R. Basili

  • A checklist for integrating student empirical studies with research and teaching goals

    Jeffrey C. Carver;Letizia Jaccheri;Sandro Morasca;Forrest Shull

  • A general way to put time in Petri nets

    C. Ghezzi;D. Mandrioli;S. Morasca;M. Pezze

  • Defining and validating high-level design metrics

    Lionel Briand;Sandro Morasca;Victor R. Basili

  • Applying GQM in an industrial software factory

    Alfonso Fuggetta;Luigi Lavazza;Sandro Morasca;Stefano Cinti

  • OpenBQR: a framework for the assessment of OSS

    Davide Taibi;Luigi Lavazza;Sandro Morasca

  • Assessing the understandability of UML statechart diagrams with composite states--A family of empirical studies

    José A. Cruz-Lemus;Marcela Genero;M. Esperanza Manso;Sandro Morasca

  • A Survey on Open Source Software Trustworthiness

    V. del Bianco;L. Lavazza;S. Morasca;D. Taibi

  • Deriving models of software fault-proneness

    Giovanni Denaro;Sandro Morasca;Mauro Pezzè

  • A Unified High-level Petri Net Model for Time Critical Systems

    C. Ghezzi;D. Mandrioli;S. Morasca;M. Pezze

  • Towards a theoretical framework for measuring software attributes

    S. Morasca;L.C. Briand

  • Comments on "Property-based software engineering measurement: refining the additivity properties"

    G. Poels;G. Dedene;L.C. Briand;S. Morasca

  • A probability-based approach for measuring external attributes of software artifacts

    Sandro Morasca

Frequent Co-Authors

Davide Taibi
Davide Taibi University of Oulu
Lionel C. Briand
Lionel C. Briand University of Ottawa
Victor R. Basili
Victor R. Basili University of Maryland, College Park
Mauro Pezzè
Mauro Pezzè Universita della Svizzera Italiana
Carlo Ghezzi
Carlo Ghezzi Polytechnic University of Milan
Luciano Baresi
Luciano Baresi Polytechnic University of Milan
Mario Piattini
Mario Piattini University of Castilla-La Mancha
Marcela Genero
Marcela Genero University of Castilla-La Mancha
Barbara Kitchenham
Barbara Kitchenham Keele University
Forrest Shull
Forrest Shull Carnegie Mellon University

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