Fabio Persia
- Information Systems top 5%
- Artificial Intelligence top 10%
- Computer Vision and Pattern Recognition top 5%
- Computer Networks and Communications top 10%
- Signal Processing top 10%
- Co-authors
- Daniela D’AuriaAntonio PicarielloVincenzo MoscatoSven HelmerMassimiliano AlbaneseAntonio d’AciernoMouzhi GeFlora Amato
- Topics
- Recommender Systems and Techniques (16 papers)Advanced Image and Video Retrieval Techniques (12 papers)Image Retrieval and Classification Techniques (11 papers)
- Cited by
- Information SystemsComputer Vision and Pattern RecognitionComputer Networks and Communications
- Journals
- IEEE Transactions on Knowledge and Data EngineeringFuture Generation Computer SystemsComputer Methods and Programs in Biomedicine
- Partner nations
- ItalyUnited StatesGermany
In The Last Decade
Fabio Persia
58 papers receiving 521 citations
Peers
Comparison fields: 5 of 73
- Information Systems 222
- Artificial Intelligence 200
- Computer Vision and Pattern Recognition 186
- Computer Networks and Communications 156
- Signal Processing 69
Countries citing papers authored by Fabio Persia
This map shows the geographic impact of Fabio Persia'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 Fabio Persia with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Fabio Persia more than expected).
Fields of papers citing papers by Fabio Persia
This network shows the impact of papers produced by Fabio Persia. 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 Fabio Persia. The network helps show where Fabio Persia may publish in the future.
Co-authorship network of co-authors of Fabio Persia
This figure shows the co-authorship network connecting the top 25 collaborators of Fabio Persia. A scholar is included among the top collaborators of Fabio Persia 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 Fabio Persia. Fabio Persia 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 | 6 | |
| 3 | 1 | |
| 4 | 10 | |
| 5 | 2 | |
| 6 | 3 | |
| 7 | 7 | |
| 8 | An Interval-based Query Language for High-level Surveillance Event Detection. | 5 |
| 9 | 11 | |
| 10 | 5 | |
| 11 | 3 | |
| 12 | A User-Centered Approach for Social Recommendations | 1 |
| 13 | 26 | |
| 14 | 5 | |
| 15 | An application for finding expected activities in medical context scientific databases. | 10 |
| 16 | Recommendation of Multimedia Objects for Social Network Applications | 4 |
| 17 | 55 | |
| 18 | A Framework for Building Multimedia Ontologies from Web Information Sources. | 0 |
| 19 | 19 | |
| 20 | 35 |
About Fabio Persia
Fabio Persia is a scholar working on Computer Vision and Pattern Recognition, Information Systems and Signal Processing, having authored 63 papers that have together received 546 indexed citations. Recurring topics across this work include Recommender Systems and Techniques (16 papers), Advanced Image and Video Retrieval Techniques (12 papers) and Image Retrieval and Classification Techniques (11 papers). The work is most often cited by research in Information Systems (222 citations), Computer Vision and Pattern Recognition (186 citations) and Computer Networks and Communications (156 citations). Fabio Persia has collaborated with scholars based in Italy, United States and Germany. Frequent co-authors include Daniela D’Auria, Antonio Picariello, Vincenzo Moscato, Sven Helmer, Massimiliano Albanese, Antonio d’Acierno, Mouzhi Ge, Flora Amato, Aniello De Santo and Bruno Siciliano. Their work appears in journals such as IEEE Transactions on Knowledge and Data Engineering, Future Generation Computer Systems and Computer Methods and Programs in Biomedicine.
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.