Paolo Ferragina
- Artificial Intelligence top 0.2%
- Molecular Biology top 5%
- Hardware and Architecture top 1%
- Information Systems top 1%
- Computer Vision and Pattern Recognition top 2%
- Co-authors
- Giovanni ManziniUgo ScaiellaRoberto GrossiS. MuthukrishnanAntonio GullìRossano VenturiniGuglielmo ArzilliCaterina Rizzo
- Topics
- Algorithms and Data Compression (75 papers)Network Packet Processing and Optimization (25 papers)DNA and Biological Computing (21 papers)
- Partner nations
- ItalyUnited StatesGermany
In The Last Decade
Paolo Ferragina
127 papers receiving 4.5k citations
Hit Papers
Peers
Comparison fields: 5 of 148
- Artificial Intelligence 3.5k
- Molecular Biology 1.4k
- Hardware and Architecture 685
- Information Systems 668
- Computer Vision and Pattern Recognition 668
Countries citing papers authored by Paolo Ferragina
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
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
| # | Work | Indexed citations |
|---|---|---|
| 1 | 2 | |
| 2 | 0 | |
| 3 | 0 | |
| 4 | 2 | |
| 5 | 0 | |
| 6 | 4 | |
| 7 | 6 | |
| 8 | 8 | |
| 9 | 4 | |
| 10 | 4 | |
| 11 | 12 | |
| 12 | Why are learned indexes so effective | 2 |
| 13 | 2 | |
| 14 | Proceedings of the Symposium on String Processing and Information Retrieval (SPIRE '06) | 2 |
| 15 | On compressing and indexing data | 9 |
| 16 | Self-adjusting Data Structures for External Memory String Access | 2 |
| 17 | 97 | |
| 18 | An Experimental Study of Priority Queues in External Memory | 6 |
| 19 | 16 | |
| 20 | A fully-dynamic data structure for external substring search (Extended Abstract). | 1 |
About Paolo Ferragina
Paolo Ferragina is a scholar working on Hardware and Architecture, Artificial Intelligence and Signal Processing, having authored 135 papers that have together received 4.8k indexed citations. Recurring topics across this work include Algorithms and Data Compression (75 papers), Network Packet Processing and Optimization (25 papers) and DNA and Biological Computing (21 papers). The work is most often cited by research in Health Informatics (293 citations), Artificial Intelligence (3.5k citations) and Hardware and Architecture (685 citations). Paolo Ferragina has collaborated with scholars based in Italy, United States and Germany. Frequent co-authors include Giovanni Manzini, Ugo Scaiella, Roberto Grossi, S. Muthukrishnan, Antonio Gullì, Rossano Venturini, Guglielmo Arzilli, Caterina Rizzo, Gaetano Pierpaolo Privitera and Luigi De Angelis. Their work appears in journals such as Bioinformatics, Scientific Reports and IEEE Access.
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.