World's Best Scientists 2026 revealed!
Alfonso Pierantonio

Alfonso Pierantonio

D-Index & Metrics

Computer Science

D-Index
34
Citations
4786
World Ranking
12205
National Ranking
419

Alfonso Pierantonio 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 Alfonso Pierantonio 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: 230 publications — 57th percentile

57% of scientists in this discipline score the same or lower.

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

Alfonso Pierantonio 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 Alfonso Pierantonio 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

Alfonso Pierantonio is affiliated with the University of L'Aquila in Italy and has contributed extensively to the field of computer science, with a focus on software engineering. Their research spans several subfields including software, information systems, computer networks and communications, artificial intelligence, and management information systems.

The scientist's work emphasizes key topics such as:

  • Model-Driven Software Engineering Techniques
  • Advanced Software Engineering Methodologies
  • Software System Performance and Reliability
  • Software Engineering Research
  • Business Process Modeling and Analysis
  • Service-Oriented Architecture and Web Services
  • Scientific Computing and Data Management

Alfonso Pierantonio has published numerous papers in various venues, with a notable presence in "Software & Systems Modeling" where they have published 12 papers. Other frequent publication venues include "arXiv (Cornell University)" with 9 papers, the "2021 ACM/IEEE International Conference on Model Driven Engineering Languages and Systems Companion (MODELS-C)" with 4 papers, "The Journal of Object Technology" with 4 papers, and the "Journal of Computer Languages" with 3 papers.

Some of the recent papers authored or coauthored by the scientist are:

  • Grand challenges in model-driven engineering: an analysis of the state of the research, 2020, Software & Systems Modeling
  • Low-code development and model-driven engineering: Two sides of the same coin?, 2022, Software & Systems Modeling
  • Low-code Engineering for Internet of things: A state of research, 2020, arXiv (Cornell University)
  • What Is the Future of Modeling?, 2021, IEEE Software
  • Convolutional neural networks for enhanced classification mechanisms of metamodels, 2020, Journal of Systems and Software

Frequent collaborators in their research include:

  • Davide Di Ruscio
  • Juri Di Rocco
  • Ludovico Iovino
  • Felicien Ihirwe
  • Antonio Bucchiarone

The main academic discipline of Alfonso Pierantonio is computer science with a publication record totaling 98 works. Their research contributions span foundational and applied aspects of software, including extended topics such as business process modeling and service-oriented architectures, indicating an interdisciplinary approach bridging technical methods with information systems and network communications.

Best Publications

  • Automating Co-evolution in Model-Driven Engineering

    A. Cicchetti;D. Di Ruscio;R. Eramo;A. Pierantonio

  • Different models for model matching: An analysis of approaches to support model differencing

    Dimitrios S. Kolovos;Davide Di Ruscio;Alfonso Pierantonio;Richard F. Paige

  • A Metamodel Independent Approach to Difference Representation

    Antonio Cicchetti;Davide Di Ruscio;Alfonso Pierantonio

  • JTL: a bidirectional and change propagating transformation language

    Antonio Cicchetti;Davide Di Ruscio;Romina Eramo;Alfonso Pierantonio

  • Supporting the understanding and comparison of low-code development platforms

    Apurvanand Sahay;Arsene Indamutsa;Davide Di Ruscio;Alfonso Pierantonio

  • Low-code development and model-driven engineering: Two sides of the same coin?

    Unknown

  • Grand challenges in model-driven engineering: an analysis of the state of the research

    Antonio Bucchiarone;Jordi Cabot;Richard F. Paige;Richard F. Paige;Alfonso Pierantonio

  • MDEForge: an Extensible Web-Based Modeling Platform.

    Francesco Basciani;Juri Di Rocco;Davide Di Ruscio;Amleto Di Salle

  • Managing Model Conflicts in Distributed Development

    Antonio Cicchetti;Davide Ruscio;Alfonso Pierantonio

  • Managing Dependent Changes in Coupled Evolution

    Antonio Cicchetti;Davide Ruscio;Alfonso Pierantonio

  • Extending AMMA for Supporting Dynamic Semantics Specifications of DSLs

    Davide Di Ruscio;Frédéric Jouault;Ivan Kurtev;Jean Bézivin

  • Collaborative Repositories in Model-Driven Engineering

    Juri Di Rocco;Davide Di Ruscio;Ludovico Iovino;Alfonso Pierantonio

  • Montages Specifications of Realistic Programming Languages.

    Philipp W. Kutter;Alfonso Pierantonio

  • On the Impact Significance of Metamodel Evolution in MDE

    Ludovico Iovino;Alfonso Pierantonio;Ivano Malavolta

  • What is needed for managing co-evolution in MDE?

    Davide Di Ruscio;Ludovico Iovino;Alfonso Pierantonio

  • Automated co-evolution of GMF editor models

    Davide Di Ruscio;Ralf Lämmel;Alfonso Pierantonio

  • Model transformations

    Davide Di Ruscio;Romina Eramo;Alfonso Pierantonio

  • Multi-view approaches for software and system modelling: a systematic literature review

    Antonio Cicchetti;Federico Ciccozzi;Alfonso Pierantonio

  • Developing next generation ADLs through MDE techniques

    Davide Di Ruscio;Ivano Malavolta;Henry Muccini;Patrizio Pelliccione

  • Low-code engineering for internet of things: a state of research

    Felicien Ihirwe;Davide Di Ruscio;Silvia Mazzini;Pierluigi Pierini

  • Mechanisms for leveraging models at runtime in self-adaptive software

    Amel Bennaceur;Giordano Tamburrelli;Thomas Vogel

  • Digging into UML models to remove performance antipatterns

    Vittorio Cortellessa;Antinisca Di Marco;Romina Eramo;Alfonso Pierantonio

Frequent Co-Authors

Davide Di Ruscio
Davide Di Ruscio University of L'Aquila
Patrizio Pelliccione
Patrizio Pelliccione Gran Sasso Science Institute
Antonio Vallecillo
Antonio Vallecillo University of Malaga
Richard F. Paige
Richard F. Paige McMaster University
Jeff Gray
Jeff Gray University of Alabama
Juan de Lara
Juan de Lara Autonomous University of Madrid
Henry Muccini
Henry Muccini University of L'Aquila
Jean Bézivin
Jean Bézivin University of Nantes
Manuel Wimmer
Manuel Wimmer Johannes Kepler University of Linz
Ralf Lämmel
Ralf Lämmel Facebook (United States)

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 online degree options can open up flexible career pathways in computer science and related fields. For students seeking affordable education, consider the cheapest online degrees to reduce financial burden while gaining quality credentials. Budget-friendly programs often provide the same recognized outcomes as traditional ones.

If your academic record has challenges, don’t worry—there are universities for low gpa applicants that offer access to strong online computer science schools. Such pathways make the field accessible even if your grades don’t reflect your potential.

Beyond computer science, online learning supports diverse fields. Curious about opportunities in sustainability? Explore what career and educational options are available with a degree by reading what can you get with an environmental science degree.

If you’re eager to enter the workforce quickly, consider computer science accelerated program options. These intensive online courses let motivated students complete their studies faster and gain real-world skills sooner.

Best Scientists Citing Alfonso Pierantonio

Trending Scientists

Recently Published Articles