Paolo Ferragina

9.8k total citations · 3 hit papers
135 papers, 4.8k citations indexed

About

Paolo Ferragina is a scholar working on Artificial Intelligence, Hardware and Architecture and Molecular Biology. According to data from OpenAlex, Paolo Ferragina has authored 135 papers receiving a total of 4.8k indexed citations (citations by other indexed papers that have themselves been cited), including 101 papers in Artificial Intelligence, 32 papers in Hardware and Architecture and 31 papers in Molecular Biology. Recurrent topics in Paolo Ferragina's work include Algorithms and Data Compression (75 papers), Network Packet Processing and Optimization (25 papers) and DNA and Biological Computing (21 papers). Paolo Ferragina is often cited by papers focused on Algorithms and Data Compression (75 papers), Network Packet Processing and Optimization (25 papers) and DNA and Biological Computing (21 papers). Paolo Ferragina collaborates with scholars based in Italy, United States and Germany. Paolo Ferragina's co-authors include Giovanni Manzini, Ugo Scaiella, Roberto Grossi, S. Muthukrishnan, Antonio Gullì, Rossano Venturini, Caterina Rizzo, Gaetano Pierpaolo Privitera, Luigi De Angelis and Francesco Baglivo and has published in prestigious journals such as Bioinformatics, Scientific Reports and IEEE Access.

In The Last Decade

Paolo Ferragina

127 papers receiving 4.5k citations

Hit Papers

Opportunistic data structures with applications 2002 2026 2010 2018 2002 2010 2023 100 200 300 400 500

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Paolo Ferragina Italy 31 3.5k 1.4k 685 668 668 135 4.8k
Matt Fredrikson United States 19 4.4k 1.2× 266 0.2× 194 0.3× 568 0.9× 803 1.2× 42 5.1k
Nesreen K. Ahmed United States 25 2.1k 0.6× 398 0.3× 87 0.1× 467 0.7× 754 1.1× 77 3.9k
Roy H. Campbell United States 46 2.6k 0.7× 508 0.4× 1.3k 1.9× 3.3k 4.9× 2.6k 3.9× 339 8.8k
D. Sculley United States 21 1.7k 0.5× 343 0.2× 53 0.1× 940 1.4× 641 1.0× 37 3.4k
Daxin Jiang China 31 3.4k 1.0× 749 0.5× 62 0.1× 2.4k 3.6× 1.4k 2.0× 129 5.8k
Alistair Moffat Australia 43 5.4k 1.5× 617 0.4× 431 0.6× 3.3k 5.0× 1.9k 2.8× 267 8.3k
Udi Manber United States 24 2.5k 0.7× 923 0.7× 1.2k 1.7× 1.1k 1.6× 416 0.6× 58 4.3k
Alan Bundy United Kingdom 23 2.4k 0.7× 120 0.1× 188 0.3× 621 0.9× 158 0.2× 206 3.6k
Panos Kalnis Saudi Arabia 41 3.2k 0.9× 454 0.3× 133 0.2× 1.1k 1.7× 1.1k 1.6× 119 5.7k
Graham Neubig United States 41 6.6k 1.9× 226 0.2× 62 0.1× 1.2k 1.8× 1.8k 2.7× 280 8.1k

Countries citing papers authored by Paolo Ferragina

Since Specialization
Citations

This map shows the geographic impact of Paolo Ferragina's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Paolo Ferragina with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Paolo Ferragina more than expected).

Fields of papers citing papers by Paolo Ferragina

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Paolo Ferragina. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Paolo Ferragina. The network helps show where Paolo Ferragina may publish in the future.

Co-authorship network of co-authors of Paolo Ferragina

This figure shows the co-authorship network connecting the top 25 collaborators of Paolo Ferragina. A scholar is included among the top collaborators of Paolo Ferragina based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Paolo Ferragina. Paolo Ferragina is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Bille, Philip, et al.. (2025). Toward Greener Matrix Operations by Lossless Compressed Formats. IEEE Access. 13. 56756–56779.
2.
Mastorci, Francesca, Lamia Ait-Alì, P. Marcheschi, et al.. (2025). Home-Based Intervention Tool for Cardiac Telerehabilitation: Protocol for a Controlled Trial. JMIR Research Protocols. 14. e47951–e47951. 2 indexed citations
3.
Ferragina, Paolo, et al.. (2024). On Nonlinear Compression Costs: When Shannon Meets Rényi. IEEE Access. 12. 77750–77763.
4.
Ferragina, Paolo, et al.. (2024). Grafite: Taming Adversarial Queries with Optimal Range Filters. Proceedings of the ACM on Management of Data. 2(1). 1–23. 2 indexed citations
5.
Ferragina, Paolo. (2023). Pearls of Algorithm Engineering. Cambridge University Press eBooks. 3 indexed citations
6.
Angelis, Luigi De, Francesco Baglivo, Guglielmo Arzilli, et al.. (2023). ChatGPT and the rise of large language models: the new AI-driven infodemic threat in public health. Frontiers in Public Health. 11. 1166120–1166120. 396 indexed citations breakdown →
7.
Ferragina, Paolo, et al.. (2023). On Nonlinear Learned String Indexing. IEEE Access. 11. 74021–74034. 6 indexed citations
8.
Ferragina, Paolo, et al.. (2021). Repetition- and Linearity-Aware Rank/Select Dictionaries. DROPS (Schloss Dagstuhl – Leibniz Center for Informatics). 1 indexed citations
9.
Ferragina, Paolo, et al.. (2021). On the performance of learned data structures. Theoretical Computer Science. 871. 107–120. 12 indexed citations
10.
Ferragina, Paolo, et al.. (2021). Locality Filtering for Efficient Ride Sharing Platforms. IEEE Transactions on Intelligent Transportation Systems. 23(7). 7785–7804. 4 indexed citations
11.
Ferragina, Paolo, et al.. (2020). Why are learned indexes so effective. CINECA IRIS Institutial research information system (University of Pisa). 1. 3123–3132. 2 indexed citations
12.
Epstein, Leah & Paolo Ferragina. (2012). Algorithms-- ESA 2012 : 20th Annual European Symposium, Ljubljana, Slovenia, September 10-12, 2012. Proceedings. DIAL (Catholic University of Leuven). 1 indexed citations
13.
Cisternino, Antonio, Paolo Ferragina, Davide Morelli, & Massimo Coppola. (2010). Information processing at work: On a theory for experimental algorithm complexity. UnipiEprints Open Archive (Università di Pisa). 1 indexed citations
14.
Ferragina, Paolo, et al.. (2009). On the bit-complexity of Lempel-Ziv compression. Symposium on Discrete Algorithms. 42(4). 768–777. 11 indexed citations
15.
Ferragina, Paolo & Gad M. Landau. (2008). Combinatorial pattern matching : 19th annual symposium, CPM 2008, Pisa, Italy, June 18-20, 2008 : proceedings. Digital Access to Libraries (Université catholique de Louvain (UCL), l'Université de Namur (UNamur) and the Université Saint-Louis (USL-B)). 2 indexed citations
16.
Ferragina, Paolo, et al.. (2007). Succinct Oracles for Exact Distances in Undirected Unweighted Graphs. UnipiEprints Open Archive (Università di Pisa). 1 indexed citations
17.
Crauser, Andreas, et al.. (1999). An Experimental Study of Priority Queues in External Memory. Max Planck Institute for Plasma Physics. 345–359. 6 indexed citations
18.
Burkhardt, Stefan, Andreas Crauser, Paolo Ferragina, et al.. (1999). q -gram based database searching using a suffix array (QUASAR). CINECA IRIS Institutial research information system (University of Pisa). 77–83. 77 indexed citations
19.
Czumaj, Artur, et al.. (1997). The Architecture of a Software Library for String Processing. Max Planck Institute for Plasma Physics. 166–176. 3 indexed citations
20.
Ferragina, Paolo & Roberto Grossi. (1996). Fast string searching in secondary storage: theoretical developments and experimental results. Symposium on Discrete Algorithms. 373–382. 20 indexed citations

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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