2026 Paolo Ferragina: Computer Science Researcher – H-Index, Publications & Awards

Discipline name	D-Index	World Ranking	Current World Ranking	National Ranking	Current National Ranking	Publications	Citations
Computer Science	53	4732	4600	99	97	267	14629

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

1508
Citations
TAGME: on-the-fly annotation of short text fragments (by wikipedia entities)

Paolo Ferragina;Ugo Scaiella

998
Citations
Indexing compressed text

Paolo Ferragina;Giovanni Manzini

860
Citations
A personalized search engine based on Web-snippet hierarchical clustering

P. Ferragina;A. Gulli

676
Citations
Engineering a Lightweight Suffix Array Construction Algorithm

Giovanni Manzini;Paolo Ferragina

485
Citations
The string B-tree: a new data structure for string search in external memory and its applications

Paolo Ferragina;Roberto Grossi

458
Citations
Optical recognition of motor vehicle license plates

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

454
Citations
Compressed representations of sequences and full-text indexes

Paolo Ferragina;Giovanni Manzini;Veli Mäkinen;Gonzalo Navarro

436
Citations
Fast and Accurate Annotation of Short Texts with Wikipedia Pages

P. Ferragina;U. Scaiella

319
Citations
On the sorting-complexity of suffix tree construction

Martin Farach-Colton;Paolo Ferragina;S. Muthukrishnan

287
Citations
Text Compression

Unknown

283
Citations
A framework for benchmarking entity-annotation systems

Marco Cornolti;Paolo Ferragina;Massimiliano Ciaramita

272
Citations
GERBIL: General Entity Annotator Benchmarking Framework

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

271
Citations
An experimental study of an opportunistic index

Paolo Ferragina;Giovanni Manzini

247
Citations
PlayeRank: Data-driven Performance Evaluation and Player Ranking in Soccer via a Machine Learning Approach

Luca Pappalardo;Paolo Cintia;Paolo Ferragina;Emanuele Massucco

228
Citations
A public data set of spatio-temporal match events in soccer competitions.

Luca Pappalardo;Paolo Cintia;Alessio Rossi;Emanuele Massucco

215
Citations
The PGM-index: a multicriteria, compressed and learned approach to data indexing

Paolo Ferragina;Giorgio Vinciguerra

210
Citations
Compressed text indexes: From theory to practice

Paolo Ferragina;Rodrigo González;Gonzalo Navarro;Rossano Venturini

208
Citations
The PGM-index: a fully-dynamic compressed learned index with provable worst-case bounds

Paolo Ferragina;Giorgio Vinciguerra

205
Citations
From TagME to WAT: a new entity annotator

Francesco Piccinno;Paolo Ferragina

204
Citations
q-gram based database searching using a suffix array (QUASAR)

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

198
Citations
A simple storage scheme for strings achieving entropy bounds

Paolo Ferragina;Rossano Venturini

181
Citations
Compressing and indexing labeled trees, with applications

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

178
Citations
Lightweight Data Indexing and Compression in External Memory

Paolo Ferragina;Travis Gagie;Giovanni Manzini

171
Citations

Frequent Co-Authors

Giovanni Manzini University of Eastern Piedmont Amadeo Avogadro

s muthukrishnan Rutgers, The State University of New Jersey

Dino Pedreschi University of Pisa

Raffaele Giancarlo University of Palermo

Fabio Crestani Universita della Svizzera Italiana

Fosca Giannotti Scuola Normale Superiore di Pisa

Mark Sanderson RMIT University

Antonio Frangioni University of Pisa

gonzalo navarro University of Chile

Stan Matwin Dalhousie University

External Links

Personal website of Paolo Ferragina Google Scholar page

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