World's Best Scientists 2026 revealed!
Raffaele Giancarlo

Raffaele Giancarlo

D-Index & Metrics

Computer Science

D-Index
31
Citations
3997
World Ranking
13684
National Ranking
498

Raffaele Giancarlo 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 Raffaele Giancarlo 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: 173 publications — 36th percentile

36% of scientists in this discipline score the same or lower.

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

Raffaele Giancarlo 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 Raffaele Giancarlo 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: 31 D-Index — 6th percentile

6% of scientists in this discipline score the same or lower.

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

Overview

Raffaele Giancarlo is affiliated with the University of Palermo in Italy. Their research spans multiple disciplines within computer science and molecular biology, focusing on areas that integrate computational methods with biological data analysis.

Their recent publications include diverse topics such as digital transformation, genomics, and algorithm development. Notable papers are:

  • Digital Transformation in the Public Administrations: A Guided Tour for Computer Scientists (2024, IEEE Access)
  • FASTA/Q data compressors for MapReduce-Hadoop genomics: space and time savings made easy (2021, BMC Bioinformatics)
  • Alignment-free Genomic Analysis via a Big Data Spark Platform (2021, Nova Science Publishers)
  • Scrum@PA: Tailoring an Agile Methodology to the Digital Transformation in the Public Sector (2024, Information)
  • The power of word-frequency-based alignment-free functions: a comprehensive large-scale experimental analysis (2021, Bioinformatics)

Giancarlo frequently collaborates with other researchers, with co-authors including:

  • Domenico Amato
  • Giosuè Lo Bosco
  • Umberto Ferraro Petrillo
  • Giuseppe Cattaneo
  • Francesco Palini

The venues where Giancarlo's work is commonly published reflect a focus on both computational and bioinformatics fields:

  • arXiv (Cornell University)
  • BMC Bioinformatics
  • IEEE Access
  • Bioinformatics
  • Neural Computing and Applications

Their main fields of study are:

  • Computer Science
  • Biochemistry, Genetics and Molecular Biology

Subfields of particular focus include:

  • Artificial Intelligence
  • Computer Networks and Communications
  • Molecular Biology
  • Information Systems
  • Signal Processing

The principal topics covered by their research comprise:

  • Algorithms and Data Compression
  • Caching and Content Delivery
  • Genomics and Phylogenetic Studies
  • Machine Learning in Bioinformatics
  • Advanced Database Systems and Queries
  • Data Management and Algorithms
  • Data Stream Mining Techniques

Best Publications

  • The Boyer Moore Galil string searching strategies revisited

    Alberto Apostolico;Raffaele Giancarlo

  • Sparse dynamic programming I: linear cost functions

    David Eppstein;Zvi Galil;Raffaele Giancarlo;Giuseppe F. Italiano

  • Data structures and algorithms for approximate string matching

    Z. Galil;R. Giancarlo

  • Improved string matching with k mismatches

    Z Galil;R Giancarlo

  • Speeding up the Consensus Clustering methodology for microarray data analysis

    Raffaele Giancarlo;Filippo Utro

  • Compression-based classification of biological sequences and structures via the Universal Similarity Metric: experimental assessment.

    Paolo Ferragina;Raffaele Giancarlo;Valentina Greco;Giovanni Manzini

  • Speeding up dynamic programming with application to molecular biology

    Zvi Galil;Raffaele Giancarlo

  • Textual Data Compression In Computational Biology: A synopsis

    Raffaele Giancarlo;Davide Scaturro;Filippo Utro

  • Boosting textual compression in optimal linear time

    Paolo Ferragina;Raffaele Giancarlo;Giovanni Manzini;Marinella Sciortino

  • Dynamic dictionary matching

    Amihood Amir;Martin Farach;Zvi Galil;Raffaele Giancarlo

  • Sequence alignment in molecular biology.

    Alberto Apostolico;Raffaele Giancarlo

  • Sparse dynamic programming II: convex and concave cost functions

    David Eppstein;Zvi Galil;Raffaele Giancarlo;Giuseppe F. Italiano

  • On the Determinization of Weighted Finite Automata

    Adam L. Buchsbaum;Raffaele Giancarlo;Jeffery R. Westbrook

  • A Generalization of the Suffix Tree to Square Matrices, with Applications

    Raffaele Giancarlo

  • Speeding up dynamic programming

    D. Eppstein;Z. Galil;R. Giancarlo

  • Bounds on the redundancy of Huffman codes (Corresp.)

    R. Capocelli;R. Giancarlo;I. Taneja

  • Method and apparatus for generating deterministic approximate weighted finite-state automata

    Adam Louis Buchsbaum;Raffaele Giancarlo;Jeffery Rex Westbrook

  • GenClust: A genetic algorithm for clustering gene expression data

    Vito Di Gesú;Raffaele Giancarlo;Giosué Lo Bosco;Alessandra Raimondi

  • Improving table compression with combinatorial optimization

    Adam L. Buchsbaum;Glenn S. Fowler;Raffaele Giancarlo

  • Efficient VLSI networks for converting an integer from binary system to residue number system and vice versa

    R.M. Capocelli;R. Giancarlo

  • Computational cluster validation for microarray data analysis: experimental assessment of Clest, Consensus Clustering, Figure of Merit, Gap Statistics and Model Explorer

    Raffaele Giancarlo;Davide Scaturro;Filippo Utro

Frequent Co-Authors

Giovanni Manzini
Giovanni Manzini University of Eastern Piedmont Amadeo Avogadro
Paolo Ferragina
Paolo Ferragina University of Pisa
David Eppstein
David Eppstein University of California, Irvine
Zvi Galil
Zvi Galil Georgia Institute of Technology
Giuseppe F. Italiano
Giuseppe F. Italiano Guido Carli Free International University for Social Studies
David Sankoff
David Sankoff University of Ottawa
Wojciech Rytter
Wojciech Rytter University of Warsaw
Sridhar Hannenhalli
Sridhar Hannenhalli National Institutes of Health
Chiara Romualdi
Chiara Romualdi University of Padua
Antonio Restivo
Antonio Restivo University of Palermo

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