Vincenzo Moscato

143 papers receiving 2.5k citations

Peers

Vincenzo Moscato
Comparison fields: 5 of 141
  • Artificial Intelligence 1.0k
  • Computer Vision and Pattern Recognition 802
  • Information Systems 764
  • Computer Networks and Communications 458
  • Signal Processing 353
Replace Antonio Picariello with:
Antonio Picariello Italy
Rahul Katarya India
Iraklis Varlamis Greece
Behrouz Minaei‐Bidgoli Iran
Alfredo Cuzzocrea Italy
Mirjana Ivanović Serbia
Dunja Mladenić Slovenia
Giancarlo Sperlí Italy
Noël Crespi France
Jianhua Ma Japan
Vincenzo Moscato relative to Antonio Picariello Italy Antonio Picariello's profile →
Citations per field
00.5×3.1×
Antonio Picariello · 1×
Citations per year

Countries citing papers authored by Vincenzo Moscato

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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 of co-authors of Vincenzo Moscato

This figure shows the co-authorship network connecting the top 25 collaborators of Vincenzo Moscato. A scholar is included among the top collaborators of Vincenzo Moscato 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 Vincenzo Moscato. Vincenzo Moscato 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
#WorkIndexed citations
1 0
2 1
3 3
4 2
5 4
6 2
7 40
8 85
9
Summarizing Social Media Content for Multimedia Stories Creation.
2
10 27
11
A User-Centered Approach for Social Recommendations
1
12
Recommendation of Multimedia Objects for Social Network Applications
4
13
CMS towards Semantic Interoperability.
1
14
A location-based smart application applied to cultural heritage environments.
4
15 55
16 24
17
On-line integration and reasoning of multi-sensor data to enhance infrastructure surveillance
3
18 1
19 5
20
Animate System for Query by Example in Image Databases.
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) and Image Retrieval and Classification Techniques (27 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 IEEE Transactions on Pattern Analysis and Machine Intelligence, Computers in Human Behavior and Expert Systems with Applications.

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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