Raffaele Perego
- Information Systems top 0.5%
- Artificial Intelligence top 1%
- Signal Processing top 1%
- Computer Networks and Communications top 2%
- Computer Vision and Pattern Recognition top 2%
- Co-authors
- Salvatore OrlandoClaudio LuccheseFabrizio SilvestriFranco Maria NardiniChiara RensoRanieri BaragliaNicola TonellottoJ. Ignacio Hidalgo
- Topics
- Data Management and Algorithms (38 papers)Information Retrieval and Search Behavior (27 papers)Topic Modeling (26 papers)
- Journals
- Expert Systems with ApplicationsIEEE AccessIEEE Transactions on Intelligent Transportation Systems
- Partner nations
- ItalyBrazilUnited States
In The Last Decade
Raffaele Perego
164 papers receiving 2.3k citations
Peers
Comparison fields: 5 of 107
- Information Systems 1.2k
- Artificial Intelligence 1.1k
- Signal Processing 539
- Computer Networks and Communications 498
- Computer Vision and Pattern Recognition 461
Countries citing papers authored by Raffaele Perego
This map shows the geographic impact of Raffaele Perego'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 Raffaele Perego with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Raffaele Perego more than expected).
Fields of papers citing papers by Raffaele Perego
This network shows the impact of papers produced by Raffaele Perego. 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 Raffaele Perego. The network helps show where Raffaele Perego may publish in the future.
Co-authorship network of co-authors of Raffaele Perego
This figure shows the co-authorship network connecting the top 25 collaborators of Raffaele Perego. A scholar is included among the top collaborators of Raffaele Perego 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 Raffaele Perego. Raffaele Perego is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 0 | |
| 3 | 2 | |
| 4 | 4 | |
| 5 | 3 | |
| 6 | 5 | |
| 7 | 6 | |
| 8 | 3 | |
| 9 | 3 | |
| 10 | 2 | |
| 11 | 16 | |
| 12 | 2 | |
| 13 | The Impact of Negative Samples on Learning to Rank. | 3 |
| 14 | 17 | |
| 15 | Activity-based Carpooling with ComeWithMe. | 2 |
| 16 | QuickRank: a C++ Suite of Learning to Rank Algorithms | 8 |
| 17 | Peer-to-Peer clustering of Web-browsing users | 7 |
| 18 | Crawling, Indexing, and Similarity Searching Images on the Web | 2 |
| 19 | A Hybrid Strategy for Caching Web Search Engine Results. | 1 |
| 20 | Integrating task and data parallelism with taskHPF | 2 |
About Raffaele Perego
Raffaele Perego is a scholar working on Information Systems, Signal Processing and Computer Networks and Communications, having authored 176 papers that have together received 2.5k indexed citations. Recurring topics across this work include Data Management and Algorithms (38 papers), Information Retrieval and Search Behavior (27 papers) and Topic Modeling (26 papers). The work is most often cited by research in Information Systems (1.2k citations), Signal Processing (539 citations) and Artificial Intelligence (1.1k citations). Raffaele Perego has collaborated with scholars based in Italy, Brazil and United States. Frequent co-authors include Salvatore Orlando, Claudio Lucchese, Fabrizio Silvestri, Franco Maria Nardini, Chiara Renso, Ranieri Baraglia, Nicola Tonellotto, J. Ignacio Hidalgo, Rossano Venturini and José Antônio Fernandes de Macêdo. Their work appears in journals such as Expert Systems with Applications, IEEE Access and IEEE Transactions on Intelligent Transportation Systems.
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.