World's Best Scientists 2026 revealed!
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Fabio Palomba
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Rising Stars
2025
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Computer Science
Italy
2025

D-Index & Metrics

Discipline name D-Index World Ranking Current World Ranking National Ranking Current National Ranking Publications Citations
Rising Stars 53 253 253 3 3 179 8948
Computer Science 57 3900 3790 80 78 313 10453

Fabio Palomba publications per year

The chart shows the history of publications by Fabio Palomba between 1993 and 2026, highlighting the no. of papers published in each year and offering an overview of the publication velocity of this scholar. Fabio Palomba published across 34 years, from 1993 to 2026, averaging 13.1 papers a year. Output peaked at 62 publications in 2025. 75 of the 446 publications appeared in the last two years.

No. of publications
20 40 60
Bar chart. Horizontal axis: year, 1993 to 2026. Vertical axis: number of publications, 0 to 62. Peak 62 publications in 2025. 1993: 1 publication 1994: 0 publications 1995: 0 publications 1996: 0 publications 1997: 0 publications 1998: 0 publications 1999: 0 publications 2000: 0 publications 2001: 0 publications 2002: 0 publications 2003: 0 publications 2004: 0 publications 2005: 0 publications 2006: 0 publications 2007: 0 publications 2008: 0 publications 2009: 0 publications 2010: 0 publications 2011: 0 publications 2012: 2 publications 2013: 2 publications 2014: 9 publications 2015: 17 publications 2016: 21 publications 2017: 26 publications 2018: 58 publications 2019: 42 publications 2020: 53 publications 2021: 24 publications 2022: 33 publications 2023: 36 publications 2024: 47 publications 2025: 62 publications 2026: 13 publications
1993 2026

446 publications in total across all disciplines

View publications per year as a table
Fabio Palomba: publications per year, 1993 to 2026
Year Publications
1993 1
1994 0
1995 0
1996 0
1997 0
1998 0
1999 0
2000 0
2001 0
2002 0
2003 0
2004 0
2005 0
2006 0
2007 0
2008 0
2009 0
2010 0
2011 0
2012 2
2013 2
2014 9
2015 17
2016 21
2017 26
2018 58
2019 42
2020 53
2021 24
2022 33
2023 36
2024 47
2025 62
2026 13
Total 446
Download as CSV

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.

No. of scientists
200 400 600
Bar chart with 97 bars. Horizontal axis: publications, 32–41 to 991+. Vertical axis: number of scientists, 0 to 609. Most scientists, 609, have 142–151 publications. The last bar groups every scientist with 991 publications or more. The highlighted bar, 312–321 publications, is where this scientist sits. 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
32–41 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.

View publications distribution as a table
Number of Computer Science scientists by publication count, Research.com 2026 ranking edition. Based on 14,188 ranked scientists.
Publications Scientists This scientist
32–41 7
42–51 22
52–61 82
62–71 134
72–81 249
82–91 324
92–101 421
102–111 420
112–121 497
122–131 544
132–141 555
142–151 609
152–161 559
162–171 534
172–181 556
182–191 583
192–201 519
202–211 508
212–221 490
222–231 437
232–241 423
242–251 408
252–261 377
262–271 301
272–281 335
282–291 320
292–301 293
302–311 250
312–321 238 313
322–331 206
332–341 209
342–351 208
352–361 162
362–371 176
372–381 127
382–391 158
392–401 128
402–411 104
412–421 94
422–431 99
432–441 83
442–451 108
452–461 73
462–471 77
472–481 69
482–491 84
492–501 62
502–511 54
512–521 57
522–531 51
532–541 51
542–551 32
552–561 38
562–571 28
572–581 43
582–591 33
592–601 41
602–611 32
612–621 28
622–631 25
632–641 27
642–651 17
652–661 20
662–671 17
672–681 15
682–691 14
692–701 21
702–711 13
712–721 12
722–731 19
732–741 14
742–751 12
752–761 10
762–771 10
772–781 11
782–791 10
792–801 11
802–811 8
812–821 8
822–831 7
832–841 11
842–851 10
852–861 5
862–871 9
872–881 4
882–891 6
892–901 3
902–911 6
912–921 3
922–931 2
932–941 2
942–951 2
952–961 3
962–971 3
972–981 3
982–990 5
991+ 100
Download as CSV

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.

No. of scientists
200 400 600 800
Bar chart with 52 bars. Horizontal axis: D-Index, 30–31 to 131+. Vertical axis: number of scientists, 0 to 990. Most scientists, 990, have 36–37 D-Index. The last bar groups every scientist with 131 D-Index or more. The highlighted bar, 56–57 D-Index, is where this scientist sits. 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
30–31 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.

View D-Index distribution as a table
Number of Computer Science scientists by D-index, Research.com 2026 ranking edition. Based on 14,188 ranked scientists.
D-Index Scientists This scientist
30–31 879
32–33 983
34–35 918
36–37 990
38–39 968
40–41 907
42–43 821
44–45 763
46–47 689
48–49 543
50–51 543
52–53 518
54–55 500
56–57 458 57
58–59 400
60–61 337
62–63 308
64–65 292
66–67 249
68–69 213
70–71 192
72–73 189
74–75 165
76–77 139
78–79 119
80–81 121
82–83 113
84–85 88
86–87 87
88–89 75
90–91 69
92–93 57
94–95 46
96–97 38
98–99 34
100–101 36
102–103 27
104–105 37
106–107 18
108–109 31
110–111 19
112–113 16
114–115 12
116–117 20
118–119 15
120–121 5
122–123 20
124–125 8
126–127 5
128–129 7
130 3
131+ 98
Download as CSV

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

External Links

Personal website of Fabio Palomba Google Scholar page

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Publications: 34

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École de Technologie Supérieure

Publications: 32

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Gabriele Bavota

Universita della Svizzera Italiana

Publications: 28

Foutse Khomh

Foutse Khomh

Polytechnique Montréal

Publications: 27

Denys Poshyvanyk

Denys Poshyvanyk

William & Mary

Publications: 23

Sebastiano Panichella

Sebastiano Panichella

University of Zurich

Publications: 21

Davide Taibi

Davide Taibi

University of Oulu

Publications: 20

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Yann-Gaël Guéhéneuc

Concordia University

Publications: 19

Xin Xia

Xin Xia

Huawei Technologies (China)

Publications: 18

David Lo

David Lo

Singapore Management University

Publications: 17

Marco Tulio Valente

Marco Tulio Valente

Universidade Federal de Minas Gerais

Publications: 17

Paris Avgeriou

Paris Avgeriou

University of Groningen

Publications: 16

Alexander Serebrenik

Alexander Serebrenik

Eindhoven University of Technology

Publications: 16

Rui Abreu

Rui Abreu

University of Porto

Publications: 16

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Damian A. Tamburri

Eindhoven University of Technology

Publications: 16

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