Fabio Viola

704 citations
21 papers · 289 · h-index 11

Impact in

Papers in

Fabio Viola

21 papers receiving 281 citations

Peers

Fabio Viola
Comparison fields: 5 of 51
  • Computer Networks and Communications 149
  • Computer Vision and Pattern Recognition 112
  • Signal Processing 43
  • Information Systems 87
  • Information Systems and Management 16
Replace Francesco Antoniazzi with:
Francesco Antoniazzi Italy
Saverio Ieva Italy
Stephan Steglich Germany
Giuseppe Loseto Italy
Stamatia Rizou Greece
Mario Pichler Austria
Kenji Sugawara Japan
Jörg Heuer Germany
Joel Koshy United States
Fabio Viola relative to Francesco Antoniazzi Italy Francesco Antoniazzi's profile →
Citations per field
00.5×10×
Francesco Antoniazzi · 1×
Citations per year

Countries citing papers authored by Fabio Viola

Since Specialization
Citations

This map shows the geographic impact of Fabio Viola'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 Viola with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Fabio Viola more than expected).

Fields of papers citing papers by Fabio Viola

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Fabio Viola. 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 Viola. The network helps show where Fabio Viola may publish in the future.

Co-authors

The 25 scholars most cited alongside Fabio Viola, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Fabio Viola Line = papers co-authored together Fabio Viola links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 21 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201655
2 201831
3 201830
4 202029
5 201922
6 201521
7 201815
8 201813
9 201611
10 201611
11 201610
12 20169
13 20187
14 20187
15 20205
16 20184
17 20193
18
Performance Evaluation Suite for Semantic Publish-Subscribe Message-oriented Middlewares
20162
19 20162
20 20231

About Fabio Viola

Fabio Viola is a scholar working on Computer Networks and Communications, Information Systems, Computer Vision and Pattern Recognition, Artificial Intelligence and Signal Processing, having authored 21 papers that have together received 289 indexed citations. Recurring topics across this work include IoT and Edge/Fog Computing (6 papers), Service-Oriented Architecture and Web Services (6 papers), Semantic Web and Ontologies (6 papers), Music and Audio Processing (5 papers), Music Technology and Sound Studies (4 papers), Peer-to-Peer Network Technologies (4 papers), Context-Aware Activity Recognition Systems (3 papers) and Scientific Computing and Data Management (3 papers). The work is most often cited by research in Computer Networks and Communications (149 citations), Computer Vision and Pattern Recognition (112 citations), Signal Processing (43 citations), Information Systems (87 citations) and Information Systems and Management (16 citations). Fabio Viola has collaborated with scholars based in Italy, United Kingdom and Brazil. Frequent co-authors include Francesco Antoniazzi, Tullio Salmon Cinotti, Luca Roffia, Alfredo D’Elia, György Fazekas, Luca Turchet, Paolo Azzoni, Luciano Bononi, Sergey Balandin and Alexey Kashevnik. Their work appears in journals such as Journal of Web Semantics, Future Internet, IEEE Internet of Things Journal, International Journal on Semantic Web and Information Systems 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.

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