World's Best Scientists 2026 revealed!
Genoveffa Tortora

Genoveffa Tortora

D-Index & Metrics

Computer Science

D-Index
34
Citations
6072
World Ranking
12046
National Ranking
411

Genoveffa Tortora 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 Genoveffa Tortora 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: 349 publications — 82nd percentile

82% of scientists in this discipline score the same or lower.

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

Genoveffa Tortora 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 Genoveffa Tortora 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: 34 D-Index — 16th percentile

16% of scientists in this discipline score the same or lower.

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

Overview

Genoveffa Tortora is affiliated with the University of Salerno in Italy and has a research focus that spans computer science and medicine. Their scholarly work is concentrated primarily in artificial intelligence and its applications to healthcare and biology, as well as in computer vision and information systems. The scientist's publications frequently explore advanced computational methods in medical diagnostics and data management.

Their research covers several main fields and subfields of study, including:

  • Computer Science
  • Medicine
  • Artificial Intelligence
  • Molecular Biology
  • Computer Vision and Pattern Recognition
  • Oncology
  • Information Systems

The central topics Genoveffa Tortora addresses relate to AI applications in cancer detection and healthcare, data quality, and natural language processing. Specifically, their main research topics are:

  • AI in cancer detection
  • Cutaneous Melanoma Detection and Management
  • Topic Modeling
  • Artificial Intelligence in Healthcare and Education
  • Natural Language Processing Techniques
  • Advanced Text Analysis Techniques
  • Data Quality and Management

Genoveffa Tortora frequently collaborates with several coauthors, many of whom have contributed extensively alongside them. Frequent collaborators include:

  • Luigi Di Biasi
  • Alessia Auriemma Citarella
  • Fabiola De Marco
  • Rita Francese
  • Michele Risi

Their research outputs have been published in a variety of academic venues, with multiple papers appearing in specialized journals related to computing and biomedical informatics. Major publication venues include:

  • SSRN Electronic Journal
  • Multimedia Tools and Applications
  • Research Square
  • BMC Bioinformatics
  • IEEE Access

Some notable papers published by Genoveffa Tortora are:

  • "Can ChatGPT provide intelligent diagnoses? A comparative study between predictive models and ChatGPT to define a new medical diagnostic bot" (2023, Expert Systems with Applications)
  • "Rouge Metric Evaluation for Text Summarization Techniques" (2022, SSRN Electronic Journal)
  • "A decision-support framework for data anonymization with application to machine learning processes" (2022, Information Sciences)
  • "Refactoring and performance analysis of the main CNN architectures: using false negative rate minimization to solve the clinical images melanoma detection problem" (2023, BMC Bioinformatics)
  • "Classification of QRS complexes to detect Premature Ventricular Contraction using machine learning techniques" (2022, PLoS ONE)

Best Publications

  • Blockchain: A Panacea for Healthcare Cloud-Based Data Security and Privacy?

    Christian Esposito;Alfredo De Santis;Genny Tortora;Henry Chang

  • Development and evaluation of a virtual campus on Second Life: The case of SecondDMI

    Andrea De Lucia;Rita Francese;Ignazio Passero;Genoveffa Tortora

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

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

  • Class point: an approach for the size estimation of object-oriented systems

    G. Costagliola;F. Ferrucci;G. Tortora;G. Vitiello

  • Enhancing an artefact management system with traceability recovery features

    A. De Lucia;F. Fasano;R. Oliveto;G. Tortora

  • Automatic generation of visual programming environments

    G. Costagliola;G. Tortora;S. Orefice;A. de Lucia

  • Can ChatGPT provide intelligent diagnoses? A comparative study between predictive models and ChatGPT to define a new medical diagnostic bot

    Unknown

  • Wiimote and Kinect: gestural user interfaces add a natural third dimension to HCI

    Rita Francese;Ignazio Passero;Genoveffa Tortora

  • A parsing methodology for the implementation of visual systems

    G. Costagliola;A. De Lucia;S. Orefice;G. Tortora

  • Assessing IR-based traceability recovery tools through controlled experiments

    Andrea De Lucia;Rocco Oliveto;Genoveffa Tortora

  • ADAMS Re-Trace: a traceability recovery tool

    A. De Lucia;F. Fasano;R. Oliveto;G. Tortora

  • Assessing the Effectiveness of Sequence Diagrams in the Comprehension of Functional Requirements: Results from a Family of Five Experiments

    Silvia Abrahao;C. Gravino;E. Insfran;G. Scanniello

  • Developing legacy system migration methods and tools for technology transfer

    Andrea De Lucia;Rita Francese;Giuseppe Scanniello;Genoveffa Tortora

  • An experimental comparison of ER and UML class diagrams for data modelling

    Andrea De Lucia;Carmine Gravino;Rocco Oliveto;Genoveffa Tortora

  • Advances in Software Engineering and Knowledge Engineering

    Vincenzo Ambriola;Genoveffa Tortora;S. K. Chang

  • Adams re-trace: traceability link recovery via latent semantic indexing

    Andrea De Lucia;Rocco Oliveto;Genoveffa Tortora

  • Developing legacy system migration methods and tools for technology transfer

    Unknown

  • NABS: Novel Approaches for Biometric Systems

    M De Marsico;M Nappi;D Riccio;G Tortora

  • Evaluating legacy system migration technologies through empirical studies

    Massimo Colosimo;Andrea De Lucia;Giuseppe Scanniello;Genoveffa Tortora

  • FIRST: Fractal Indexing and Retrieval SysTem for Image Databases

    Michele Nappi;Giuseppe Polese;Genoveffa Tortora

  • SLMeeting: supporting collaborative work in Second Life

    Andrea De Lucia;Rita Francese;Ignazio Passero;Genoveffa Tortora

  • IR-Based Traceability Recovery Processes: An Empirical Comparison of "One-Shot" and Incremental Processes

    A. De Lucia;R. Oliveto;G. Tortora

  • Automating visual language generation

    C. Crimi;A. Guercio;G. Pacini;G. Tortora

  • Using Project-Based-Learning in a mobile application development course-An experience report

    Rita Francese;Carmine Gravino;Michele Risi;Giuseppe Scanniello

Frequent Co-Authors

Giuseppe Scanniello
Giuseppe Scanniello University of Salerno
Andrea De Lucia
Andrea De Lucia University of Salerno
Filomena Ferrucci
Filomena Ferrucci University of Salerno
Rocco Oliveto
Rocco Oliveto University of Molise
Michele Nappi
Michele Nappi University of Salerno
Shi-Kuo Chang
Shi-Kuo Chang University of Pittsburgh
Marcela Genero
Marcela Genero University of Castilla-La Mancha
Gabriele Bavota
Gabriele Bavota Universita della Svizzera Italiana
Ramesh Jain
Ramesh Jain University of California, Irvine
Francisco Herrera
Francisco Herrera University of Granada

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