World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
36
Citations
4905
World Ranking
11336
National Ranking
210

Fabiano Dalpiaz 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 Fabiano Dalpiaz 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: 216 publications — 52nd percentile

52% of scientists in this discipline score the same or lower.

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

Fabiano Dalpiaz 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 Fabiano Dalpiaz 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: 36 D-Index — 23rd percentile

23% of scientists in this discipline score the same or lower.

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

Overview

Fabiano Dalpiaz is affiliated with Utrecht University in the Netherlands. Their research work mainly focuses on computer science with a strong emphasis on software engineering, artificial intelligence, and information systems.

Their contributions in software engineering cover various aspects, including software engineering research, techniques and practices, advanced methodologies, and open source software innovations. Additional research interests include multi-agent systems and negotiation as well as biomedical text mining and ontologies.

Fabiano Dalpiaz has published extensively in several key academic venues. Frequent publication venues include:

  • Zenodo (CERN European Organization for Nuclear Research)
  • Information and Software Technology
  • Requirements Engineering
  • arXiv (Cornell University)
  • IEEE Software

Some of their recent papers are:

  • Requirements Engineering in the Days of Artificial Intelligence, 2020, IEEE Software
  • On deriving conceptual models from user requirements: An empirical study, 2020, Information and Software Technology

Fabiano Dalpiaz has collaborated with several researchers. Their frequent co-authors include:

  • Sjaak Brinkkemper
  • Davide Dell'Anna
  • Tjerk Spijkman
  • Martijn van Vliet
  • Eduard C. Groen

Their publication record also includes a book published by Springer Science+Business Media titled Research Challenges in Information Science (2020).

Overall, Fabiano Dalpiaz's work spans a broad range of computer science topics with an emphasis on software engineering and artificial intelligence, contributing research articles, collaborations, and academic publications across well-recognized venues in the field.

Best Publications

  • A goal-based framework for contextual requirements modeling and analysis

    Raian Ali;Fabiano Dalpiaz;Paolo Giorgini

  • Improving agile requirements: the Quality User Story framework and tool

    Garm Lucassen;Fabiano Dalpiaz;Jan Martijn Van Der Werf;Sjaak Brinkkemper

  • The Crowd in Requirements Engineering: The Landscape and Challenges

    Eduard C. Groen;Norbert Seyff;Raian Ali;Fabiano Dalpiaz

  • The Use and Effectiveness of User Stories in Practice

    Garm Lucassen;Fabiano Dalpiaz;Jan Martijn Werf;Sjaak Brinkkemper

  • Adaptive socio-technical systems: a requirements-based approach

    Fabiano Dalpiaz;Paolo Giorgini;John Mylopoulos

  • Forging high-quality User Stories: Towards a discipline for Agile Requirements

    Garm Lucassen;Fabiano Dalpiaz;Jan Martijn E.M. van der Werf;Sjaak Brinkkemper

  • Automated Extraction of Conceptual Models from User Stories via NLP

    Marcel Robeer;Garm Lucassen;Jan Martijn E. M. van der Werf;Fabiano Dalpiaz

  • Extracting conceptual models from user stories with Visual Narrator

    Garm Lucassen;Marcel Robeer;Fabiano Dalpiaz;Jan Martijn Werf

  • Natural Language Processing for Requirements Engineering: The Best Is Yet to Come

    Fabiano Dalpiaz;Alessio Ferrari;Xavier Franch;Cristina Palomares

  • iStar 2.0 language guide

    Fabiano Dalpiaz;Javier Franch Gutiérrez;Jennifer Horkoff

  • REfine: A gamified platform for participatory requirements engineering

    Remco Snijders;Fabiano Dalpiaz;Sjaak Brinkkemper;Mahmood Hosseini

  • Gamified Requirements Engineering: Model and Experimentation

    Philipp Lombriser;Fabiano Dalpiaz;Garm Lucassen;Sjaak Brinkkemper

  • Reasoning with contextual requirements: Detecting inconsistency and conflicts

    Raian Ali;Fabiano Dalpiaz;Paolo Giorgini

  • An Architecture for Requirements-Driven Self-reconfiguration

    Fabiano Dalpiaz;Paolo Giorgini;John Mylopoulos

  • Reasoning about agents and protocols via goals and commitments

    Amit K. Chopra;Fabiano Dalpiaz;Paolo Giorgini;John Mylopoulos

  • Crowd-centric Requirements Engineering

    Remco Snijders;Fabiano Dalpiaz;Mahmood Hosseini;Alimohammad Shahri

  • Modelling and reasoning about security requirements in socio-technical systems

    Elda Paja;Fabiano Dalpiaz;Paolo Giorgini

  • Detecting terminological ambiguity in user stories: Tool and experimentation

    Fabiano Dalpiaz;Ivor van der Schalk;Sjaak Brinkkemper;Fatma Başak Aydemir

  • Runtime goal models: Keynote

    Fabiano Dalpiaz;Alexander Borgida;Jennifer Horkoff;John Mylopoulos

  • Modeling and reasoning about service-oriented applications via goals and commitments

    Amit K. Chopra;Fabiano Dalpiaz;Paolo Giorgini;John Mylopoulos

  • Modeling and Verifying Security Policies in Business Processes

    Mattia Salnitri;Fabiano Dalpiaz;Paolo Giorgini

Frequent Co-Authors

Paolo Giorgini
Paolo Giorgini University of Trento
Sjaak Brinkkemper
Sjaak Brinkkemper Utrecht University
John Mylopoulos
John Mylopoulos University of Ottawa
Mehdi Dastani
Mehdi Dastani Utrecht University
Xavier Franch
Xavier Franch Universitat Politècnica de Catalunya
Alexander Borgida
Alexander Borgida Rutgers, The State University of New Jersey
Marsha Chechik
Marsha Chechik University of Toronto
Munindar P. Singh
Munindar P. Singh North Carolina State University
Nan Niu
Nan Niu University of North Florida
Alessio Ferrari
Alessio Ferrari École Polytechnique Fédérale de Lausanne

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

If you're considering studying Computer Science in the USA, there are several related fields and online degree options worth exploring. Choosing a program often comes down to flexibility, cost, and accredited opportunities that match your career interests.

Many students look at the mechanical engineering cost of education as a benchmark for comparing affordability across engineering disciplines. Similarly, options like an online physics degree offer a scientific foundation, which can complement skills learned in computer science.

The demand for tech-savvy graduates is growing. Fields such as data analytics are rapidly expanding, and there are numerous data science programs available online that equip students for roles in big data and artificial intelligence. Those interested in hardware or systems can explore accredited online electrical engineering programs for a technical edge in the computing field.

Online learning opens pathways to a range of STEM careers, allowing you to personalize your education and manage costs while building in-demand skills for the future.

Best Scientists Citing Fabiano Dalpiaz

Trending Scientists

Recently Published Articles