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2025

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Rising Stars

D-Index
53
Citations
8948
World Ranking
253
National Ranking
3

Computer Science

D-Index
57
Citations
10453
World Ranking
3900
National Ranking
80

Fabio Palomba 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 Fabio Palomba 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: 313 publications — 76th percentile

76% of scientists in this discipline score the same or lower.

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

Fabio Palomba 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 Fabio Palomba 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: 57 D-Index — 74th percentile

74% of scientists in this discipline score the same or lower.

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

Research.com Recognitions

  • 2025 - Research.com Computer Science in Italy Leader Award
  • 2025 - Research.com Rising Stars Award
  • 2022 - Research.com Computer Science in Italy Leader Award

Overview

Fabio Palomba is affiliated with the University of Salerno in Italy and has contributed extensively to the field of computer science, with a focus on software engineering and related areas. Their research output comprises 267 publications, reflecting a broad engagement in multiple subfields of computer science.

The main fields of study for Fabio Palomba include:

  • Computer Science

The subfields of study covered by their work include:

  • Information Systems
  • Software
  • Artificial Intelligence
  • Computer Networks and Communications
  • Signal Processing

Key topics addressed in their research are:

  • Software Engineering Research
  • Software Reliability and Analysis Research
  • Advanced Malware Detection Techniques
  • Software Engineering Techniques and Practices
  • Software Testing and Debugging Techniques
  • Software System Performance and Reliability
  • Open Source Software Innovations

Fabio Palomba has published in several venues, with multiple contributions across these platforms:

  • arXiv (Cornell University)
  • SSRN Electronic Journal
  • Empirical Software Engineering
  • Journal of Systems and Software
  • Zenodo (CERN European Organization for Nuclear Research)

Frequent co-authors in their publications include:

  • Filomena Ferrucci
  • Gemma Catolino
  • Andrea De Lucia
  • Dario Di Nucci
  • Damian A. Tamburri

Selected recent papers authored or co-authored by Fabio Palomba are:

  • "Toward a catalog of software quality metrics for infrastructure code" (2020), Journal of Systems and Software
  • "Within-Project Defect Prediction of Infrastructure-as-Code Using Product and Process Metrics" (2021), IEEE Transactions on Software Engineering
  • "The Secret Life of Software Vulnerabilities: A Large-Scale Empirical Study" (2022), IEEE Transactions on Software Engineering
  • "On the distribution of test smells in open source android applications: An exploratory study" (2020), Espace ÉTS (ETS)
  • "Just-in-time software vulnerability detection: Are we there yet?" (2022), Journal of Systems and Software

Best Publications

  • On the diffuseness and the impact on maintainability of code smells: a large scale empirical investigation

    Fabio Palomba;Gabriele Bavota;Massimiliano Di Penta;Fausto Fasano

  • Mining Version Histories for Detecting Code Smells

    Fabio Palomba;Gabriele Bavota;Massimiliano Di Penta;Rocco Oliveto

  • Detecting bad smells in source code using change history information

    Fabio Palomba;Gabriele Bavota;Massimiliano Di Penta;Rocco Oliveto

  • Do They Really Smell Bad? A Study on Developers' Perception of Bad Code Smells

    Fabio Palomba;Gabriele Bavota;Massimiliano Di Penta;Rocco Oliveto

  • When and why your code starts to smell bad

    Michele Tufano;Fabio Palomba;Gabriele Bavota;Rocco Oliveto

  • Detecting code smells using machine learning techniques: Are we there yet?

    Dario Di Nucci;Fabio Palomba;Damian A. Tamburri;Alexander Serebrenik

  • Machine learning techniques for code smell detection: A systematic literature review and meta-analysis

    Muhammad Ilyas Azeem;Fabio Palomba;Lin Shi;Qing Wang

  • An experimental investigation on the innate relationship between quality and refactoring

    Gabriele Bavota;Andrea De Lucia;Massimiliano Di Penta;Rocco Oliveto

  • When and Why Your Code Starts to Smell Bad (and Whether the Smells Go Away)

    Michele Tufano;Fabio Palomba;Gabriele Bavota;Rocco Oliveto

  • Proceedings of 1993 15th International Conference on Software Engineering

    Unknown

  • User reviews matter! Tracking crowdsourced reviews to support evolution of successful apps

    Fabio Palomba;Mario Linares-Vasquez;Gabriele Bavota;Rocco Oliveto

  • UI Dark Patterns and Where to Find Them: A Study on Mobile Applications and User Perception

    Linda Di Geronimo;Larissa Braz;Enrico Fregnan;Fabio Palomba

  • When and Why Your Code Starts to Smell Bad

    Unknown

  • Recommending and localizing change requests for mobile apps based on user reviews

    Fabio Palomba;Pasquale Salza;Adelina Ciurumelea;Sebastiano Panichella

  • An empirical investigation into the nature of test smells

    Michele Tufano;Fabio Palomba;Gabriele Bavota;Massimiliano Di Penta

  • A textual-based technique for Smell Detection

    Fabio Palomba;Annibale Panichella;Andrea De Lucia;Rocco Oliveto

  • Understanding flaky tests: the developer’s perspective

    Moritz Eck;Fabio Palomba;Marco Castelluccio;Alberto Bacchelli

  • A Developer Centered Bug Prediction Model

    Dario Di Nucci;Fabio Palomba;Giuseppe De Rosa;Gabriele Bavota

  • On the Relation of Test Smells to Software Code Quality

    Davide Spadini;Fabio Palomba;Andy Zaidman;Magiel Bruntink

  • How developers engage with static analysis tools in different contexts

    Carmine Vassallo;Sebastiano Panichella;Fabio Palomba;Sebastian Proksch

  • Gender diversity and women in software teams: how do they affect community smells?

    Gemma Catolino;Fabio Palomba;Damian A. Tamburri;Alexander Serebrenik

  • Fine-grained just-in-time defect prediction

    Luca Pascarella;Fabio Palomba;Alberto Bacchelli

  • Understanding Flaky Tests: The Developer's Perspective

    Moritz Eck;Fabio Palomba;Marco Castelluccio;Alberto Bacchelli

  • [Journal First] On the Diffuseness and the Impact on Maintainability of Code Smells: A Large Scale Empirical Investigation

    Fabio Palomba;Gabriele Bavota;Massimiliano Di Penta;Fausto Fasano

Frequent Co-Authors

Andrea De Lucia
Andrea De Lucia University of Salerno
Rocco Oliveto
Rocco Oliveto University of Molise
Damian A. Tamburri
Damian A. Tamburri Eindhoven University of Technology
Andy Zaidman
Andy Zaidman Delft University of Technology
Alberto Bacchelli
Alberto Bacchelli University of Zurich
Gabriele Bavota
Gabriele Bavota Universita della Svizzera Italiana
Filomena Ferrucci
Filomena Ferrucci University of Salerno
Harald C. Gall
Harald C. Gall University of Zurich
Alexander Serebrenik
Alexander Serebrenik Eindhoven University of Technology
Denys Poshyvanyk
Denys Poshyvanyk William & Mary

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