World's Best Scientists 2026 revealed!
Rocco Oliveto

Rocco Oliveto

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Computer Science
Italy
2025

D-Index & Metrics

Computer Science

D-Index
80
Citations
16459
World Ranking
1105
National Ranking
14

Rocco Oliveto 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 Rocco Oliveto 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: 236 publications — 58th percentile

58% of scientists in this discipline score the same or lower.

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

Rocco Oliveto 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 Rocco Oliveto 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: 80 D-Index — 93rd percentile

93% 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
  • 2023 - Research.com Computer Science in Italy Leader Award
  • 2022 - Research.com Computer Science in Italy Leader Award

Overview

Rocco Oliveto is affiliated with the University of Molise in Italy and has a significant body of research spanning computer science and medicine. Their work largely focuses on software engineering and applications in health monitoring.

The scientist's research contributions include studies published in notable venues such as:

  • Computer Methods and Programs in Biomedicine
  • IEEE Transactions on Software Engineering
  • Proceedings of the 44th International Conference on Software Engineering
  • ACM Transactions on Software Engineering and Methodology
  • Empirical Software Engineering

Rocco Oliveto's recent papers cover a range of topics including postural control evaluation, transfer learning for software tasks, reinforcement learning in video games testing, software refactoring impacts, and code readability changes during software evolution. Specific recent works include:

  • Postural control assessment via Microsoft Azure Kinect DK: An evaluation study (2021, Computer Methods and Programs in Biomedicine)
  • Using Transfer Learning for Code-Related Tasks (2022, IEEE Transactions on Software Engineering)
  • Using reinforcement learning for load testing of video games (2022, Proceedings of the 44th International Conference on Software Engineering)
  • How Software Refactoring Impacts Execution Time (2021, ACM Transactions on Software Engineering and Methodology)
  • How does code readability change during software evolution? (2020, Empirical Software Engineering)

Their frequent co-authors include Simone Scalabrino, Gabriele Bavota, Giovanni Rosa, Gennaro Laudato, and Luca Pascarella, with collaboration counts ranging from 8 to 48 joint publications.

Research dissemination occurs also in key publication venues with multiple works, such as:

  • arXiv (Cornell University)
  • ACM Transactions on Software Engineering and Methodology
  • Empirical Software Engineering
  • Medico e Bambino pagine elettroniche
  • IEEE Transactions on Software Engineering

Rocco Oliveto's primary fields of study are computer science and medicine, including focused subfields such as:

  • Information Systems
  • Artificial Intelligence
  • Software
  • Cardiology and Cardiovascular Medicine
  • Computer Networks and Communications

The main research topics are centered on software engineering research with particular emphasis on:

  • Software Engineering Research
  • Software Reliability and Analysis Research
  • Software System Performance and Reliability
  • Software Testing and Debugging Techniques
  • ECG Monitoring and Analysis
  • Topic Modeling
  • Artificial Intelligence in Games

Best Publications

  • Recovering traceability links in software artifact management systems using information retrieval methods

    Andrea De Lucia;Fausto Fasano;Rocco Oliveto;Genoveffa Tortora

  • 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

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

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

  • How to effectively use topic models for software engineering tasks? an approach based on genetic algorithms

    Annibale Panichella;Bogdan Dit;Rocco Oliveto;Massimilano Di Penta

  • Mining Version Histories for Detecting Code Smells

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

  • 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

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

    Michele Tufano;Fabio Palomba;Gabriele Bavota;Rocco Oliveto

  • On the Equivalence of Information Retrieval Methods for Automated Traceability Link Recovery

    Rocco Oliveto;Malcom Gethers;Denys Poshyvanyk;Andrea De Lucia

  • 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

  • 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

  • Multi-objective Cross-Project Defect Prediction

    Gerardo Canfora;Andrea De Lucia;Massimiliano Di Penta;Rocco Oliveto

  • [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
Gabriele Bavota
Gabriele Bavota Universita della Svizzera Italiana
Massimiliano Di Penta
Massimiliano Di Penta University of Sannio
Denys Poshyvanyk
Denys Poshyvanyk William & Mary
Fabio Palomba
Fabio Palomba University of Salerno
Andrian Marcus
Andrian Marcus The University of Texas at Dallas
Genoveffa Tortora
Genoveffa Tortora University of Salerno
Sebastiano Panichella
Sebastiano Panichella University of Zurich
Mario Linares-Vasquez
Mario Linares-Vasquez Universidad de Los Andes
Gerardo Canfora
Gerardo Canfora University of Sannio

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