Vito Roberto

1.7k citations
77 papers · 1.0k · h-index 15

Impact in

Papers in

Vito Roberto

66 papers receiving 956 citations

Peers

Vito Roberto
Comparison fields: 5 of 91
  • Computer Vision and Pattern Recognition 630
  • Media Technology 119
  • Geology 67
  • Computer Graphics and Computer-Aided Design 41
  • Nuclear and High Energy Physics 123
Replace Jun Sato with:
Jun Sato Japan
Silvano Di Zenzo Italy
Andrés Almansa France
Long Xu China
Pekka Toivanen Finland
Lihong Ma China
Jun Xiao China
Jared Hoberock United States
Stéphane d’Ascoli France
Kenneth Moreland United States
Vito Roberto relative to Jun Sato Japan Jun Sato's profile →
Citations per field
00.5×4.5×
Jun Sato · 1×
Citations per year

Countries citing papers authored by Vito Roberto

Since Specialization
Citations

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

Fields of papers citing papers by Vito Roberto

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Vito Roberto, 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 Vito Roberto Line = papers co-authored together Vito Roberto links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 77 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2002193
2 1999123
3 2002105
4 199782
5 200365
6 200062
7 199955
8 197832
9
A semantic web service-based architecture for the interoperability of e-government services
200532
10 198126
11
Handkommentar zum Schweizer Privatrecht
201219
12 198615
13 199915
14 198915
15 198614
16 200214
17 199012
18 197811
19 197911
20 19818

About Vito Roberto

Vito Roberto is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence, Nuclear and High Energy Physics, Signal Processing and Computer Networks and Communications, having authored 77 papers that have together received 1.0k indexed citations. Recurring topics across this work include Particle physics theoretical and experimental studies (15 papers), Quantum Chromodynamics and Particle Interactions (12 papers), High-Energy Particle Collisions Research (12 papers), Advanced Vision and Imaging (9 papers), Semantic Web and Ontologies (6 papers), Robotics and Sensor-Based Localization (6 papers), Image and Object Detection Techniques (5 papers) and Seismic Imaging and Inversion Techniques (5 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (630 citations), Media Technology (119 citations), Geology (67 citations), Computer Graphics and Computer-Aided Design (41 citations) and Nuclear and High Energy Physics (123 citations). Vito Roberto has collaborated with scholars based in Italy, United Kingdom and Switzerland. Frequent co-authors include Andrea Fusiello, Emanuele Trucco, R. Odorico, Andrea Censi, Andrew Wallace, Agostino Nobile, N.S. Craigie, Vincenzo Della Mea, P. Mazzanti and Carlo Alberto Beltrami. Their work appears in journals such as Physics Letters B, Nuclear Physics B, Computer Physics Communications, Signal Processing and Pattern Recognition Letters.

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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