World's Best Scientists 2026 revealed!
Paolo Ferragina

Paolo Ferragina

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Computer Science
Italy
2025

D-Index & Metrics

Computer Science

D-Index
53
Citations
14629
World Ranking
4732
National Ranking
99

Paolo Ferragina 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 Paolo Ferragina 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: 250 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: 560 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: 424 scientists 242–251 publications: 408 scientists 252–261 publications: 378 scientists 262–271 publications: 300 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: 267 publications — 67th percentile

67% of scientists in this discipline score the same or lower.

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

Paolo Ferragina 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 Paolo Ferragina sits on this spectrum.

30–31 D-Index: 879 scientists 32–33 D-Index: 984 scientists 34–35 D-Index: 918 scientists 36–37 D-Index: 990 scientists 38–39 D-Index: 969 scientists 40–41 D-Index: 907 scientists 42–43 D-Index: 821 scientists 44–45 D-Index: 765 scientists 46–47 D-Index: 689 scientists 48–49 D-Index: 543 scientists 50–51 D-Index: 543 scientists 52–53 D-Index: 517 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: 53 D-Index — 67th percentile

67% 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
  • 2020 - ACM Senior Member

Overview

Paolo Ferragina is affiliated with the University of Pisa in Italy and has contributed extensively to the field of Computer Science, with a total of 110 publications. Their research spans several subfields, including Artificial Intelligence, Computer Networks and Communications, Molecular Biology, Information Systems, and Computer Vision and Pattern Recognition.

Their scientific work covers a broad range of topics, notably:

  • Algorithms and Data Compression
  • Biomedical Text Mining and Ontologies
  • Bioinformatics and Genomic Networks
  • Web Data Mining and Analysis
  • COVID-19 diagnosis using AI
  • Advanced Image and Video Retrieval Techniques
  • Error Correcting Code Techniques

Paolo Ferragina has frequently published research in venues such as:

  • arXiv (Cornell University)
  • IEEE Access
  • Zenodo (CERN European Organization for Nuclear Research)
  • Bioinformatics
  • Information Systems

Collaborations have been a notable aspect of their research activities, with frequent co-authors including:

  • Giorgio Vinciguerra
  • Fabrizio Luccio
  • Giovanni Manzini
  • Lorenzo Bellomo
  • Francesco Tosoni

Among their recent papers authored or co-authored are:

  • "On Analyzing Hashtags in Twitter," 2021, Proceedings of the International AAAI Conference on Web and Social Media
  • "On the performance of learned data structures," 2021, Theoretical Computer Science

Other notable papers by associates in the broader research network include:

  • "ChatGPT and the rise of large language models: the new AI-driven infodemic threat in public health," 2023, Frontiers in Public Health
  • "ChatGPT and the Rise of Large Language Models: The New AI-Driven Infodemic Threat in Public Health," 2023, SSRN Electronic Journal
  • "Give more data, awareness and control to individual citizens, and they will help COVID-19 containment," 2021, CINECA IRIS Institutional Research Information System (University of Pisa)

Paolo Ferragina has contributed to book publications as well, including:

  • "Pearls of Algorithm Engineering," Cambridge University Press, 2023
  • "Computational Thinking," Undergraduate Topics in Computer Science, 2024

In terms of recognition, Paolo Ferragina was named an ACM Senior Member in 2020.

Best Publications

  • Opportunistic data structures with applications

    P. Ferragina;G. Manzini

  • TAGME: on-the-fly annotation of short text fragments (by wikipedia entities)

    Paolo Ferragina;Ugo Scaiella

  • Indexing compressed text

    Paolo Ferragina;Giovanni Manzini

  • A personalized search engine based on Web-snippet hierarchical clustering

    P. Ferragina;A. Gulli

  • Engineering a Lightweight Suffix Array Construction Algorithm

    Giovanni Manzini;Paolo Ferragina

  • The string B-tree: a new data structure for string search in external memory and its applications

    Paolo Ferragina;Roberto Grossi

  • Optical recognition of motor vehicle license plates

    P. Comelli;P. Ferragina;M.N. Granieri;F. Stabile

  • Compressed representations of sequences and full-text indexes

    Paolo Ferragina;Giovanni Manzini;Veli Mäkinen;Gonzalo Navarro

  • Fast and Accurate Annotation of Short Texts with Wikipedia Pages

    P. Ferragina;U. Scaiella

  • On the sorting-complexity of suffix tree construction

    Martin Farach-Colton;Paolo Ferragina;S. Muthukrishnan

  • Text Compression

    Unknown

  • A framework for benchmarking entity-annotation systems

    Marco Cornolti;Paolo Ferragina;Massimiliano Ciaramita

  • GERBIL: General Entity Annotator Benchmarking Framework

    Ricardo Usbeck;Michael Röder;Axel-Cyrille Ngonga Ngomo;Ciro Baron

  • An experimental study of an opportunistic index

    Paolo Ferragina;Giovanni Manzini

  • PlayeRank: Data-driven Performance Evaluation and Player Ranking in Soccer via a Machine Learning Approach

    Luca Pappalardo;Paolo Cintia;Paolo Ferragina;Emanuele Massucco

  • A public data set of spatio-temporal match events in soccer competitions.

    Luca Pappalardo;Paolo Cintia;Alessio Rossi;Emanuele Massucco

  • The PGM-index: a multicriteria, compressed and learned approach to data indexing

    Paolo Ferragina;Giorgio Vinciguerra

  • Compressed text indexes: From theory to practice

    Paolo Ferragina;Rodrigo González;Gonzalo Navarro;Rossano Venturini

  • The PGM-index: a fully-dynamic compressed learned index with provable worst-case bounds

    Paolo Ferragina;Giorgio Vinciguerra

  • From TagME to WAT: a new entity annotator

    Francesco Piccinno;Paolo Ferragina

  • q-gram based database searching using a suffix array (QUASAR)

    Stefan Burkhardt;Andreas Crauser;Paolo Ferragina;Hans-Peter Lenhof

  • A simple storage scheme for strings achieving entropy bounds

    Paolo Ferragina;Rossano Venturini

  • Compressing and indexing labeled trees, with applications

    Paolo Ferragina;Fabrizio Luccio;Giovanni Manzini;S. Muthukrishnan

  • Lightweight Data Indexing and Compression in External Memory

    Paolo Ferragina;Travis Gagie;Giovanni Manzini

Frequent Co-Authors

Giovanni Manzini
Giovanni Manzini University of Eastern Piedmont Amadeo Avogadro
s muthukrishnan
s muthukrishnan Rutgers, The State University of New Jersey
Dino Pedreschi
Dino Pedreschi University of Pisa
Raffaele Giancarlo
Raffaele Giancarlo University of Palermo
Fabio Crestani
Fabio Crestani Universita della Svizzera Italiana
Fosca Giannotti
Fosca Giannotti Scuola Normale Superiore di Pisa
Mark Sanderson
Mark Sanderson RMIT University
Antonio Frangioni
Antonio Frangioni University of Pisa
gonzalo navarro
gonzalo navarro University of Chile
Stan Matwin
Stan Matwin Dalhousie University

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