Claudio Vairo

1.1k citations
27 papers · 655 · h-index 14

Impact in

Papers in

Claudio Vairo

27 papers receiving 614 citations

Peers

Claudio Vairo
Comparison fields: 5 of 70
  • Media Technology 215
  • Building and Construction 322
  • Computer Vision and Pattern Recognition 276
  • Automotive Engineering 80
  • Computer Networks and Communications 118
Replace Frédéric Le Mouël with:
Frédéric Le Mouël France
Vassileios Tsetsos Greece
Di Zang China
Jae Kyu Suhr South Korea
Stefano Messelodi Italy
Hang Shi China
Mingtao Pei China
Myounggyu Won United States
Yifan Zhuang China
Matthew Shreve United States
Claudio Vairo relative to Frédéric Le Mouël France Frédéric Le Mouël's profile →
Citations per field
00.5×3.6×
Frédéric Le Mouël · 1×
Citations per year

Countries citing papers authored by Claudio Vairo

Since Specialization
Citations

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

Fields of papers citing papers by Claudio Vairo

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 27 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2016252
2 2016132
3 201527
4 201823
5 201821
6 201519
7 202218
8 201017
9 202015
10
When Wireless Sensor Networks Meet Robots
201214
11 201814
12 201914
13
A Comparison of Face Verification with Facial Landmarks and Deep Features
201814
14 201013
15 202010
16 20149
17 20089
18 20187
19 20235
20 20105

About Claudio Vairo

Claudio Vairo is a scholar working on Computer Vision and Pattern Recognition, Computer Networks and Communications, Electrical and Electronic Engineering, Signal Processing and Building and Construction, having authored 27 papers that have together received 655 indexed citations. Recurring topics across this work include Energy Efficient Wireless Sensor Networks (8 papers), Video Surveillance and Tracking Methods (6 papers), Face recognition and analysis (6 papers), Advanced Image and Video Retrieval Techniques (5 papers), Context-Aware Activity Recognition Systems (4 papers), Smart Parking Systems Research (4 papers), Video Analysis and Summarization (4 papers) and Multimodal Machine Learning Applications (3 papers). The work is most often cited by research in Media Technology (215 citations), Building and Construction (322 citations), Computer Vision and Pattern Recognition (276 citations), Automotive Engineering (80 citations) and Computer Networks and Communications (118 citations). Claudio Vairo has collaborated with scholars based in Italy, Sweden and United Kingdom. Frequent co-authors include Giuseppe Amato, Claudio Gennaro, Fabrizio Falchi, Fabio Carrara, Carlo Meghini, Stefano Chessa, Erina Ferro, Mauro Dragone, Fabio Valerio Massoli and Luca Ciampi. Their work appears in journals such as Expert Systems with Applications, International Journal of Multimedia Information Retrieval, Software Practice and Experience, Engineering Applications of Artificial Intelligence and Sensors.

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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