World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
44
Citations
7447
World Ranking
7612
National Ranking
195

Stefania Gnesi 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 Stefania Gnesi 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: 294 publications — 73rd percentile

73% of scientists in this discipline score the same or lower.

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

Stefania Gnesi 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 Stefania Gnesi 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: 44 D-Index — 48th percentile

48% of scientists in this discipline score the same or lower.

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

Overview

Stefania Gnesi is affiliated with the Institute of Information Science and Technologies in Italy. Their research primarily spans the field of Computer Science, with a specialization in several subfields including Computational Theory and Mathematics, Information Systems, Software, Artificial Intelligence, and Hardware and Architecture.

The main topics of Stefania Gnesi's research include:

  • Formal Methods in Verification
  • Petri Nets in System Modeling
  • Model-Driven Software Engineering Techniques
  • Software Engineering Techniques and Practices
  • Advanced Software Engineering Methodologies
  • Software Engineering Research
  • Service-Oriented Architecture and Web Services

Recent papers authored or co-authored by Stefania Gnesi include:

  • VIBE: Looking for Variability In amBiguous rEquirements, 2022, Journal of Systems and Software
  • Quantitative Dependability Evaluation of Train Control Systems in Presence of Uncertainty: A Systematic Literature Review, 2025, IEEE Transactions on Intelligent Transportation Systems
  • Coherent modal transition systems refinement, 2024, Journal of Logical and Algebraic Methods in Programming
  • The 4SECURail approach to formalizing standard interfaces between signalling systems components, 2022, Zenodo (CERN European Organization for Nuclear Research)

Stefania Gnesi has collaborated frequently with several co-authors, including:

  • Alessandro Fantechi
  • Laura Semini
  • Maurice H. ter Beek
  • Davide Basile
  • Franco Mazzanti

The primary publication venues for Stefania Gnesi's work are:

  • Zenodo (CERN European Organization for Nuclear Research)
  • Journal of Systems and Software
  • IEEE Transactions on Intelligent Transportation Systems
  • Journal of Logical and Algebraic Methods in Programming

In addition to journal articles, Stefania Gnesi has contributed to book publications through Springer Science+Business Media, notably the title Requirements Engineering: Foundation for Software Quality, published in 2020.

Best Publications

  • FME 2003: Formal Methods

    Keijiro Araki;Stefania Gnesi;Dino Mandrioli

  • Leveraging Applications of Formal Methods, Verification and Validation

    Martin Wirsing;Matthias Hölzl;Lucia Acciai;Federico Banti

  • Application of linguistic techniques for Use Case analysis

    A. Fantechi;S. Gnesi;G. Lami;A. Maccari

  • Web Service Composition Approaches: From Industrial Standards to Formal Methods

    M. ter Beek;A. Bucchiarone;S. Gnesi

  • The linguistic approach to the natural language requirements quality: benefit of the use of an automatic tool

    F. Fabbrini;M. Fusani;S. Gnesi;G. Lami

  • An automatic tool for the analysis of natural language requirements.

    Stefania Gnesi;Giuseppe Lami;Gianluca Trentanni

  • PLUTO: A test methodology for product families

    Antonia Bertolino;Stefania Gnesi

  • An action-based framework for verifying logical and behavioural properties of concurrent systems

    R. De Nicola;A. Fantechi;S. Gnesi;G. Ristori

  • An Automatic Quality Evaluation for Natural Language Requirements

    F. Fabbrini;M. Fusani;S. Gnesi;G. Lami

  • PURE: A Dataset of Public Requirements Documents

    Alessio Ferrari;Giorgio Oronzo Spagnolo;Stefania Gnesi

  • Assisting requirement formalization by means of natural language translation

    A. Fantechi;S. Gnesi;G. Ristori;M. Carenini

  • Formal test-case generation for UML statecharts

    S. Gnesi;D. Latella;M. Massink

  • Formal Description of Variability in Product Families

    Patrizia Asirelli;Maurice H. ter Beek;Stefania Gnesi;Alessandro Fantechi

  • A Survey on Services Composition Languages and Models

    Antonio Bucchiarone;Stefania Gnesi

  • Formal Modeling for Product Families Engineering

    A. Fantechi;S. Gnesi

  • A Guidelines framework for understandable BPMN models

    Flavio Corradini;Alessio Ferrari;Fabrizio Fornari;Stefania Gnesi

  • Use case-based testing of product lines

    Antonia Bertolino;Stefania Gnesi

  • Model checking UML Statechart diagrams using JACK

    S. Gnesi;D. Latella;M. Massink

  • The Integration Project for the JACK Environment.

    Amar Bouali;Stefania Gnesi;Salvatore Larosa

  • Ambiguity and tacit knowledge in requirements elicitation interviews

    Alessio Ferrari;Paola Spoletini;Stefania Gnesi

  • Tableau methods to describe strong bisimilarity on LOTOS processes involving pure interleaving and enabling.

    Alessandro Fantechi;Stefania Gnesi;R. Sacchelli

Frequent Co-Authors

Alessandro Fantechi
Alessandro Fantechi University of Florence
Alessio Ferrari
Alessio Ferrari École Polytechnique Fédérale de Lausanne
Ugo Montanari
Ugo Montanari University of Pisa
Rosario Pugliese
Rosario Pugliese University of Florence
Antonia Bertolino
Antonia Bertolino National Research Council (CNR)
Nora Koch
Nora Koch Ludwig-Maximilians-Universität München
José Luiz Fiadeiro
José Luiz Fiadeiro University of Dundee
Paola Inverardi
Paola Inverardi University of L'Aquila
Martin Wirsing
Martin Wirsing Ludwig-Maximilians-Universität München
Marco Pistore
Marco Pistore Fondazione Bruno Kessler

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