F. Vacca

425 citations
36 papers · 304 · h-index 8

Impact in

Papers in

F. Vacca

31 papers receiving 290 citations

Peers

F. Vacca
Comparison fields: 5 of 34
  • Computer Networks and Communications 216
  • Hardware and Architecture 25
  • Signal Processing 39
  • Electrical and Electronic Engineering 203
  • Computer Vision and Pattern Recognition 51
Replace Aylin Kantarcı with:
Aylin Kantarcı Türkiye
Jean Carle France
Vladimir Bychkovskiy Russia
Hossam Afifi France
Stephan Rein Germany
Paul Gorday United States
Patrick Murphy United States
Jani Boutellier Finland
Avinash Sridharan United States
Ira Krepchin United States
F. Vacca relative to Aylin Kantarcı Türkiye Aylin Kantarcı's profile →
Citations per field
00.5×1.5×2.4×
Aylin Kantarcı · 1×
Citations per year

Countries citing papers authored by F. Vacca

Since Specialization
Citations

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

Fields of papers citing papers by F. Vacca

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 16 scholars most cited alongside F. Vacca, 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 F. Vacca Line = papers co-authored together F. Vacca links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 36 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2007100
2 200353
3 200527
4 200817
5 200613
6 200612
7 20068
8 20038
9 20037
10 20037
11 20046
12 20035
13 20035
14 20065
15 20024
16 20033
17 20023
18 20033
19
JPEG2000 Decoder Architecture for Mobile Applications
20012
20
Low Complexity, Flexible LDPC Decoders
20052

About F. Vacca

F. Vacca is a scholar working on Signal Processing, Computer Vision and Pattern Recognition, Electrical and Electronic Engineering, Computer Networks and Communications and Artificial Intelligence, having authored 36 papers that have together received 304 indexed citations. Recurring topics across this work include Advanced Data Compression Techniques (17 papers), Digital Filter Design and Implementation (16 papers), Advanced Wireless Communication Techniques (13 papers), Error Correcting Code Techniques (9 papers), Image and Signal Denoising Methods (9 papers), Video Coding and Compression Technologies (9 papers), Cooperative Communication and Network Coding (5 papers) and Advanced Vision and Imaging (3 papers). The work is most often cited by research in Computer Networks and Communications (216 citations), Hardware and Architecture (25 citations), Signal Processing (39 citations), Electrical and Electronic Engineering (203 citations) and Computer Vision and Pattern Recognition (51 citations). F. Vacca has collaborated with scholars based in Italy, United States and Spain. Frequent co-authors include Guido Masera, A. Molino, Maurizio Martina, Gianluca Piccinini, Maurizio Zamboni, Truong Q. Nguyen, Alberto Tarable, Rossana Martini, Giuseppe D’Angelo and Mainak Biswas. Their work appears in journals such as International Journal of Digital Multimedia Broadcasting, Electronics Letters, Microprocessors and Microsystems, IEE Proceedings - Vision Image and Signal Processing and Journal of Communications Software and Systems.

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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