World's Best Scientists 2026 revealed!
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Computer Science
Switzerland
2025

D-Index & Metrics

Computer Science

D-Index
70
Citations
14258
World Ranking
1908
National Ranking
44

Gabriele Bavota 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 Gabriele Bavota 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: 209 publications — 49th percentile

49% of scientists in this discipline score the same or lower.

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

Gabriele Bavota 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 Gabriele Bavota 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: 70 D-Index — 87th percentile

87% 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 Switzerland Leader Award
  • 2022 - Research.com Computer Science in Switzerland Leader Award

Overview

Gabriele Bavota is affiliated with the Universita della Svizzera Italiana in Switzerland and has a research focus primarily within the domain of Computer Science.

Their work spans several subfields of study, including:

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

Bavota's research mainly addresses topics related to software development and engineering, with a strong emphasis on:

  • Software Engineering Research
  • Software Testing and Debugging Techniques
  • Software System Performance and Reliability
  • Software Reliability and Analysis Research
  • Advanced Malware Detection Techniques
  • Topic Modeling
  • Natural Language Processing Techniques

Their recent publications reflect these interests, with selected papers including:

  • Using pre-trained models to boost code review automation, 2022, Proceedings of the 44th International Conference on Software Engineering
  • Opinion Mining for Software Development: A Systematic Literature Review, 2022, ACM Transactions on Software Engineering and Methodology
  • AI-Driven Development Is Here: Should You Worry?, 2022, IEEE Software
  • Using Transfer Learning for Code-Related Tasks, 2022, IEEE Transactions on Software Engineering
  • Using deep learning to generate complete log statements, 2022, Proceedings of the 44th International Conference on Software Engineering

Bavota has frequently collaborated with several co-authors throughout their career. Notable frequent collaborators include:

  • Antonio Mastropaolo
  • Luca Pascarella
  • Simone Scalabrino
  • Rocco Oliveto
  • Massimiliano Di Penta

Their work has been published across various venues, with a significant number of papers appearing in:

  • arXiv (Cornell University)
  • Zenodo (CERN European Organization for Nuclear Research)
  • ACM Transactions on Software Engineering and Methodology
  • IEEE Transactions on Software Engineering
  • Empirical Software Engineering

Bavota's contributions cover a spectrum of contemporary challenges in software engineering, including automation in code review processes, opinion mining in software development, AI-driven development concerns, transfer learning applications, and the use of deep learning for generating log statements. This body of work aligns with ongoing trends in integrating artificial intelligence and machine learning techniques into software engineering practices.

Best Publications

  • API change and fault proneness: a threat to the success of Android apps

    Mario Linares-Vásquez;Gabriele Bavota;Carlos Bernal-Cárdenas;Massimiliano Di Penta

  • Mining Version Histories for Detecting Code Smells

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

  • An Empirical Study on Learning Bug-Fixing Patches in the Wild via Neural Machine Translation

    Michele Tufano;Cody Watson;Gabriele Bavota;Massimiliano Di Penta

  • Mining StackOverflow to turn the IDE into a self-confident programming prompter

    Luca Ponzanelli;Gabriele Bavota;Massimiliano Di Penta;Rocco Oliveto

  • Release planning of mobile apps based on user reviews

    Lorenzo Villarroel;Gabriele Bavota;Barbara Russo;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

  • Mining energy-greedy API usage patterns in Android apps: an empirical study

    Mario Linares-Vásquez;Gabriele Bavota;Carlos Bernal-Cárdenas;Rocco Oliveto

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

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

  • Taxonomy of real faults in deep learning systems

    Nargiz Humbatova;Gunel Jahangirova;Gabriele Bavota;Vincenzo Riccio

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

    Michele Tufano;Fabio Palomba;Gabriele Bavota;Rocco Oliveto

  • The Impact of API Change- and Fault-Proneness on the User Ratings of Android Apps

    Gabriele Bavota;Mario Linares-Vasquez;Carlos Eduardo Bernal-Cardenas;Massimiliano Di Penta

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

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

  • Automatic query reformulations for text retrieval in software engineering

    Sonia Haiduc;Gabriele Bavota;Andrian Marcus;Rocco Oliveto

  • On learning meaningful code changes via neural machine translation

    Michele Tufano;Jevgenija Pantiuchina;Cody Watson;Gabriele Bavota

  • Are test smells really harmful? An empirical study

    Gabriele Bavota;Abdallah Qusef;Rocco Oliveto;Andrea Lucia

  • When Does a Refactoring Induce Bugs? An Empirical Study

    Gabriele Bavota;Bernardino De Carluccio;Andrea De Lucia;Massimiliano Di Penta

  • Sentiment analysis for software engineering: how far can we go?

    Bin Lin;Fiorella Zampetti;Gabriele Bavota;Massimiliano Di Penta

  • How do API changes trigger stack overflow discussions? a study on the Android SDK

    Mario Linares-Vásquez;Gabriele Bavota;Massimiliano Di Penta;Rocco Oliveto

  • Methodbook: Recommending Move Method Refactorings via Relational Topic Models

    Gabriele Bavota;Rocco Oliveto;Malcom Gethers;Denys Poshyvanyk

Frequent Co-Authors

Rocco Oliveto
Rocco Oliveto University of Molise
Andrea De Lucia
Andrea De Lucia University of Salerno
Denys Poshyvanyk
Denys Poshyvanyk William & Mary
Massimiliano Di Penta
Massimiliano Di Penta University of Sannio
Michele Lanza
Michele Lanza Universita della Svizzera Italiana
Mario Linares-Vasquez
Mario Linares-Vasquez Universidad de Los Andes
Andrian Marcus
Andrian Marcus The University of Texas at Dallas
Fabio Palomba
Fabio Palomba University of Salerno
Gerardo Canfora
Gerardo Canfora University of Sannio
David Binkley
David Binkley Loyola University Maryland

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