Claudio Vairo

1.1k total citations
27 papers, 655 citations indexed

About

Claudio Vairo is a scholar working on Computer Vision and Pattern Recognition, Computer Networks and Communications and Electrical and Electronic Engineering. According to data from OpenAlex, Claudio Vairo has authored 27 papers receiving a total of 655 indexed citations (citations by other indexed papers that have themselves been cited), including 19 papers in Computer Vision and Pattern Recognition, 10 papers in Computer Networks and Communications and 6 papers in Electrical and Electronic Engineering. Recurrent topics in Claudio Vairo's work include Energy Efficient Wireless Sensor Networks (8 papers), Face recognition and analysis (6 papers) and Video Surveillance and Tracking Methods (6 papers). Claudio Vairo is often cited by papers focused on Energy Efficient Wireless Sensor Networks (8 papers), Face recognition and analysis (6 papers) and Video Surveillance and Tracking Methods (6 papers). Claudio Vairo collaborates with scholars based in Italy, Sweden and United Kingdom. Claudio Vairo's co-authors include Giuseppe Amato, Claudio Gennaro, Fabrizio Falchi, Fabio Carrara, Carlo Meghini, Stefano Chessa, Erina Ferro, Luca Ciampi, Fabio Valerio Massoli and Mauro Dragone and has published in prestigious journals such as Expert Systems with Applications, Sensors and Engineering Applications of Artificial Intelligence.

In The Last Decade

Claudio Vairo

27 papers receiving 614 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Claudio Vairo Italy 14 322 276 215 118 109 27 655
Frédéric Le Mouël France 8 322 1.0× 76 0.3× 109 0.5× 172 1.5× 135 1.2× 31 589
Vassileios Tsetsos Greece 12 207 0.6× 77 0.3× 61 0.3× 96 0.8× 67 0.6× 26 429
Di Zang China 14 141 0.4× 160 0.6× 69 0.3× 56 0.5× 55 0.5× 44 511
Jae Kyu Suhr South Korea 17 359 1.1× 690 2.5× 274 1.3× 23 0.2× 165 1.5× 58 1.1k
Stefano Messelodi Italy 13 56 0.2× 504 1.8× 74 0.3× 35 0.3× 51 0.5× 40 687
Yifan Zhuang China 11 193 0.6× 78 0.3× 44 0.2× 46 0.4× 46 0.4× 30 525
Hang Shi China 11 63 0.2× 211 0.8× 41 0.2× 80 0.7× 60 0.6× 40 439
Myounggyu Won United States 14 114 0.4× 133 0.5× 43 0.2× 435 3.7× 319 2.9× 45 823
Nellore Kapileswar India 13 166 0.5× 101 0.4× 22 0.1× 219 1.9× 212 1.9× 42 695
I. Masaki United States 11 44 0.1× 460 1.7× 153 0.7× 23 0.2× 169 1.6× 34 708

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-authorship network of co-authors of Claudio Vairo

This figure shows the co-authorship network connecting the top 25 collaborators of Claudio Vairo. A scholar is included among the top collaborators of Claudio Vairo 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 Claudio Vairo. Claudio Vairo 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
1.
Amato, Giuseppe, Paolo Bolettieri, Fabio Carrara, et al.. (2024). Will VISIONE Remain Competitive in Lifelog Image Search?. ISTI Open Portal. 58–63. 1 indexed citations
2.
Bailer, Werner, Fabio Carrara, Jakub Lokoč, et al.. (2024). Interactive multimodal video search: an extended post-evaluation for the VBS 2022 competition. International Journal of Multimedia Information Retrieval. 13(2). 2 indexed citations
3.
Amato, Giuseppe, Paolo Bolettieri, Fabio Carrara, et al.. (2023). VISIONE for newbies: an easier-to-use video retrieval system. ISTI Open Portal. 158–162. 5 indexed citations
4.
Amato, Giuseppe, Paolo Bolettieri, Fabio Carrara, et al.. (2023). VISIONE: A Large-Scale Video Retrieval System with Advanced Search Functionalities. Zenodo (CERN European Organization for Nuclear Research). 649–653. 2 indexed citations
5.
Ciampi, Luca, Claudio Gennaro, Fabio Carrara, et al.. (2022). Multi-camera vehicle counting using edge-AI. Expert Systems with Applications. 207. 117929–117929. 18 indexed citations
6.
Ferro, Erina, Claudio Gennaro, Alessandro Nordio, et al.. (2020). 5G-Enabled Security Scenarios for Unmanned Aircraft: Experimentation in Urban Environment. Drones. 4(2). 22–22. 10 indexed citations
7.
Gennaro, Claudio, Giuseppe Amato, Claudio Vairo, et al.. (2020). Edge-Based Video Surveillance with Embedded Devices.. SEBD. 278–285. 1 indexed citations
8.
Amato, Giuseppe, Fabrizio Falchi, Claudio Gennaro, Fabio Valerio Massoli, & Claudio Vairo. (2020). Multi-Resolution Face Recognition with Drones. ISTI Open Portal. 13–18. 15 indexed citations
9.
Amato, Giuseppe, Fabrizio Falchi, Claudio Gennaro, et al.. (2019). Face Verification and Recognition for Digital Forensics and Information Security. ISTI Open Portal. 1–6. 14 indexed citations
10.
Barsocchi, Paolo, Antonello Calabrò, Erina Ferro, et al.. (2018). Boosting a Low-Cost Smart Home Environment with Usage and Access Control Rules. Sensors. 18(6). 1886–1886. 23 indexed citations
11.
Amato, Giuseppe, Paolo Bolettieri, Davide Moroni, et al.. (2018). A Wireless Smart Camera Network for Parking Monitoring. CINECA IRIS Institutial research information system (University of Pisa). 1–6. 14 indexed citations
12.
Amato, Giuseppe, Fabrizio Falchi, Claudio Gennaro, & Claudio Vairo. (2018). A Comparison of Face Verification with Facial Landmarks and Deep Features. 1–6. 14 indexed citations
13.
Amato, Giuseppe, Paolo Barsocchi, Fabrizio Falchi, et al.. (2018). Towards Multimodal Surveillance for Smart Building Security. ISTI Open Portal. 95–95. 5 indexed citations
14.
Amato, Giuseppe, Stefano Chessa, Claudio Gennaro, & Claudio Vairo. (2014). Querying moving events in wireless sensor networks. Pervasive and Mobile Computing. 16. 51–75. 9 indexed citations
15.
Amato, Giuseppe, et al.. (2013). A Data Logger for Wireless Sensor Network. 65–69. 2 indexed citations
16.
Amato, Giuseppe, Mathias Broxvall, Stefano Chessa, et al.. (2012). When Wireless Sensor Networks Meet Robots. Zenodo (CERN European Organization for Nuclear Research). 35–40. 14 indexed citations
17.
Amato, Giuseppe, Stefano Chessa, Claudio Gennaro, & Claudio Vairo. (2011). Efficient detection of composite events in Wireless Sensor Networks: Design and evaluation. CINECA IRIS Institutial research information system (University of Pisa). 4 indexed citations
18.
Amato, Giuseppe, Stefano Chessa, & Claudio Vairo. (2010). MaD-WiSe: a distributed stream management system for wireless sensor networks. CINECA IRIS Institutial research information system (University of Pisa). 13 indexed citations
19.
Vairo, Claudio, et al.. (2010). Modeling detection and tracking of complex events in wireless sensor networks. CINECA IRIS Institutial research information system (University of Pisa). 5 indexed citations
20.
Vairo, Claudio, Michele Albano, & Stefano Chessa. (2008). A Secure Middleware for Wireless Sensor Networks. CINECA IRIS Institutial research information system (University of Pisa). 9 indexed citations

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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