Vincenzo Moscato
-
- Video Analysis and Summarization 28
- Image Retrieval and Classification Techniques 27
- Advanced Image and Video Retrieval Techniques 26
- Information Systems top 1%
- Recommender Systems and Techniques 20
- Spam and Phishing Detection 15
- Signal Processing top 2%
- Artificial Intelligence top 1%
- Semantic Web and Ontologies 17
- Topic Modeling 13
- Health Informatics top 5%
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- Complex Network Analysis Techniques 30
- Co-authors
- Antonio PicarielloGiancarlo SperlíFlora AmatoAntonio GalliMassimiliano AlbaneseFrancesco PiccialliMarco PostiglioneValerio La Gatta
- Journals
- Expert Systems with Applications (9 papers)Knowledge-Based Systems (6 papers)Future Generation Computer Systems (6 papers)
- Partner nations
- ItalyUnited StatesUnited Kingdom
In The Last Decade
Vincenzo Moscato
143 papers receiving 2.5k citations
Peers
Comparison fields: 5 of 141
- Computer Vision and Pattern Recognition 802
- Information Systems 764
- Signal Processing 353
- Artificial Intelligence 1.0k
- Health Informatics 35
Countries citing papers authored by Vincenzo Moscato
This map shows the geographic impact of Vincenzo Moscato'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 Vincenzo Moscato with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Vincenzo Moscato more than expected).
Fields of papers citing papers by Vincenzo Moscato
This network shows the impact of papers produced by Vincenzo Moscato. 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 Vincenzo Moscato. The network helps show where Vincenzo Moscato may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Vincenzo Moscato, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2025 | 0 | |
| 2 | 2024 | 1 | |
| 3 | 2024 | 3 | |
| 4 | 2023 | 2 | |
| 5 | 2023 | 4 | |
| 6 | 2023 | 2 | |
| 7 | 2022 | 40 | |
| 8 | 2020 | 85 | |
| 9 | Summarizing Social Media Content for Multimedia Stories Creation. | 2019 | 2 |
| 10 | 2018 | 27 | |
| 11 | A User-Centered Approach for Social Recommendations | 2015 | 1 |
| 12 | Recommendation of Multimedia Objects for Social Network Applications | 2014 | 4 |
| 13 | CMS towards Semantic Interoperability. | 2014 | 1 |
| 14 | A location-based smart application applied to cultural heritage environments. | 2014 | 4 |
| 15 | 2013 | 55 | |
| 16 | 2010 | 24 | |
| 17 | On-line integration and reasoning of multi-sensor data to enhance infrastructure surveillance | 2009 | 3 |
| 18 | 2008 | 1 | |
| 19 | 2008 | 5 | |
| 20 | Animate System for Query by Example in Image Databases. | 2005 | 5 |
About Vincenzo Moscato
Vincenzo Moscato is a scholar working on Computer Vision and Pattern Recognition, Statistical and Nonlinear Physics and Signal Processing, having authored 154 papers that have together received 2.6k indexed citations. Recurring topics across this work include Complex Network Analysis Techniques (30 papers), Video Analysis and Summarization (28 papers), Image Retrieval and Classification Techniques (27 papers), Advanced Image and Video Retrieval Techniques (26 papers), Recommender Systems and Techniques (20 papers), Semantic Web and Ontologies (17 papers), Spam and Phishing Detection (15 papers) and Topic Modeling (13 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (802 citations), Information Systems (764 citations) and Signal Processing (353 citations). Vincenzo Moscato has collaborated with scholars based in Italy, United States and United Kingdom. Frequent co-authors include Antonio Picariello, Giancarlo Sperlí, Flora Amato, Antonio Galli, Massimiliano Albanese, Francesco Piccialli, Marco Postiglione, Valerio La Gatta, Angelo Chianese and Francesco Colace. Their work appears in journals such as Expert Systems with Applications, Knowledge-Based Systems, Future Generation Computer Systems, Multimedia Tools and Applications and IEEE Transactions on Industrial Informatics.
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.