Fabio Lavagetto

121 papers receiving 1.8k citations

Peers

Fabio Lavagetto
Comparison fields: 5 of 109
  • Electrical and Electronic Engineering 714
  • Computer Vision and Pattern Recognition 618
  • Computer Networks and Communications 530
  • Aerospace Engineering 382
  • Signal Processing 362
Replace Jae-Young Pyun with:
Jae-Young Pyun South Korea
Yuanchao Shu China
Xianping Tao China
Kyandoghere Kyamakya Austria
Dong Seog Han South Korea
Hongkai Wen United Kingdom
Stephan Sigg Finland
Dalei Wu United States
AbdulMalik S. Al‐Salman Saudi Arabia
Anthony Rowe United States
Fabio Lavagetto relative to Jae-Young Pyun South Korea Jae-Young Pyun's profile →
Citations per field
00.5×1.5×
Jae-Young Pyun · 1×
Citations per year

Countries citing papers authored by Fabio Lavagetto

Since Specialization
Citations

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

Fields of papers citing papers by Fabio Lavagetto

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Fabio Lavagetto

This figure shows the co-authorship network connecting the top 25 collaborators of Fabio Lavagetto. A scholar is included among the top collaborators of Fabio Lavagetto 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 Fabio Lavagetto. Fabio Lavagetto 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 1
2 0
3 3
4 1
5 1
6 1
7 3
8 3
9 6
10 45
11 54
12 2
13 0
14 42
15 45
16
Simulative performance comparison of network selection algorithms in the framework of the 802.21 standard
4
17
Opportunistic estimation of television audience through smartphones
11
18 27
19 10
20 5

About Fabio Lavagetto

Fabio Lavagetto is a scholar working on Signal Processing, Computer Vision and Pattern Recognition and Computer Graphics and Computer-Aided Design, having authored 134 papers that have together received 1.9k indexed citations. Recurring topics across this work include Indoor and Outdoor Localization Technologies (23 papers), Speech and Audio Processing (22 papers) and Advanced Data Compression Techniques (17 papers). The work is most often cited by research in Signal Processing (362 citations), Computer Vision and Pattern Recognition (618 citations) and Computer Networks and Communications (530 citations). Fabio Lavagetto has collaborated with scholars based in Italy, United States and Germany. Frequent co-authors include Igor Bisio, Andrea Sciarrone, Mario Marchese, Chiara Garibotto, Sandro Zappatore, Andrea Randazzo, Matteo Pastorino, Alessandro Fedeli, Claudio Estatico and M. Cerruti. Their work appears in journals such as IEEE Transactions on Image Processing, IEEE Access and IEEE Journal on Selected Areas in Communications.

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.

Explore authors with similar magnitude of impact

Rankless by CCL
2026