World's Best Scientists 2026 revealed!
Filippo Ricca

Filippo Ricca

D-Index & Metrics

Computer Science

D-Index
43
Citations
6591
World Ranking
8066
National Ranking
220

Filippo Ricca 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 Filippo Ricca 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: 210 publications — 50th percentile

50% of scientists in this discipline score the same or lower.

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

Filippo Ricca 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 Filippo Ricca 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: 43 D-Index — 46th percentile

46% of scientists in this discipline score the same or lower.

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

Overview

Filippo Ricca is affiliated with the University of Genoa in Italy and primarily works within the field of Computer Science. Their research contributions focus significantly on Software, Information Systems, and Computer Networks and Communications, with additional work pertaining to Artificial Intelligence and Control and Systems Engineering.

The core topics explored in their publications include Software Testing and Debugging Techniques, Software Engineering Research, Software System Performance and Reliability, Software Reliability and Analysis Research, Network Security and Intrusion Detection, Software Engineering Techniques and Practices, and Web Application Security Vulnerabilities.

Ricca has authored several papers, including:

  • "Similarity-based Web Element Localization for Robust Test Automation," 2022, ACM Transactions on Software Engineering and Methodology
  • "Sidereal: Statistical adaptive generation of robust locators for web testing," 2021, Software Testing Verification and Reliability
  • "Enhancing Web Applications Observability through Instrumented Automated Browsers," 2023, Journal of Systems and Software
  • "An empirical study to compare three web test automation approaches: NLP-based, programmable, and capture&replay," 2023, Journal of Software Evolution and Process
  • "The Use of Executable FIT Tables to support Maintenance and Evolution Tasks," 2024, Technische Universität Berlin - Universitätsbibliothek

Frequent publication venues for Ricca include Software Quality Journal, Journal of Systems and Software, Journal of Software Evolution and Process, arXiv (Cornell University), and Information and Software Technology. These outlets indicate a diverse engagement with both software engineering research communities and broader computer science platforms.

Their co-authorship network involves collaborations with several researchers, notably Maurizio Leotta, Dario Olianas, Boni García, Alessandro Marchetto, and Andrea Stocco. Maurizio Leotta notably appears as a frequent co-author with a substantial number of joint publications.

Best Publications

  • Analysis and testing of Web applications

    Filippo Ricca;Paolo Tonella

  • State-Based Testing of Ajax Web Applications

    A. Marchetto;P. Tonella;F. Ricca

  • Understanding and restructuring Web sites with ReWeb

    F. Ricca;P. Tonella

  • Capture-replay vs. programmable web testing: An empirical assessment during test case evolution

    Maurizio Leotta;Diego Clerissi;Filippo Ricca;Paolo Tonella

  • Tool-supported requirements prioritization: Comparing the AHP and CBRank methods

    Anna Perini;Filippo Ricca;Angelo Susi

  • Relevance, benefits, and problems of software modelling and model driven techniques-A survey in the Italian industry

    Marco Torchiano;Federico Tomassetti;Filippo Ricca;Alessandro Tiso

  • A family of experiments to assess the effectiveness and efficiency of source code obfuscation techniques

    Mariano Ceccato;Massimiliano Penta;Paolo Falcarin;Filippo Ricca

  • Tool-Supported Refactoring of Existing Object-Oriented Code into Aspects

    D. Binkley;M. Ceccato;M. Harman;F. Ricca

  • How Developers' Experience and Ability Influence Web Application Comprehension Tasks Supported by UML Stereotypes: A Series of Four Experiments

    F. Ricca;M. Di Penta;M. Torchiano;P. Tonella

  • Using clustering to support the migration from static to dynamic web pages

    F. Ricca;P. Tonella

  • Automated refactoring of object oriented code into aspects

    D. Binkley;M. Ceccato;M. Harman;F. Ricca

  • Using keyword extraction for Web site clustering

    P. Tonella;F. Ricca;E. Pianta;C. Girardi

  • Improving Test Suites Maintainability with the Page Object Pattern: An Industrial Case Study

    Maurizio Leotta;Diego Clerissi;Filippo Ricca;Cristiano Spadaro

  • The Role of Experience and Ability in Comprehension Tasks Supported by UML Stereotypes

    F. Ricca;M. Di Penta;M. Torchiano;P. Tonella

  • The effectiveness of source code obfuscation: An experimental assessment

    Mariano Ceccato;Massimiliano Di Penta;Jasvir Nagra;Paolo Falcarin

  • Dynamic model extraction and statistical analysis of Web applications

    P. Tonella;F. Ricca

  • Visual vs. DOM-Based Web Locators: An Empirical Study

    Maurizio Leotta;Diego Clerissi;Filippo Ricca;Paolo Tonella

  • Using acceptance tests as a support for clarifying requirements: A series of experiments

    Filippo Ricca;Marco Torchiano;Massimiliano Di Penta;Mariano Ceccato

  • A case study-based comparison of web testing techniques applied to AJAX web applications

    Alessandro Marchetto;Filippo Ricca;Paolo Tonella

  • A 2-layer model for the white-box testing of Web applications

    P. Tonella;F. Ricca

Frequent Co-Authors

Paolo Tonella
Paolo Tonella Universita della Svizzera Italiana
Marco Torchiano
Marco Torchiano Polytechnic University of Turin
Giuseppe Scanniello
Giuseppe Scanniello University of Salerno
Massimiliano Di Penta
Massimiliano Di Penta University of Sannio
Giuliano Antoniol
Giuliano Antoniol Polytechnique Montréal
Angelo Susi
Angelo Susi Fondazione Bruno Kessler
Anna Perini
Anna Perini Fondazione Bruno Kessler
Ali Mesbah
Ali Mesbah University of British Columbia
David Binkley
David Binkley Loyola University Maryland
Grace A. Lewis
Grace A. Lewis Carnegie Mellon University

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