F. Vatta

748 citations
101 papers · 520 indexed · h-index 12

Impact in

Papers in

F. Vatta

97 papers receiving 504 citations

Peers

F. Vatta
Comparison fields: 5 of 46
  • Computer Networks and Communications 355
  • Electrical and Electronic Engineering 432
  • Signal Processing 43
  • Artificial Intelligence 125
  • Aerospace Engineering 62
Replace Mike Darnell with:
Mike Darnell United Kingdom
C.W. Baum United States
Giovanni Cancellieri Italy
Darryl Dexu Lin Canada
Pål Anders Floor Norway
Saeed Fouladi Fard Canada
Vicenç Almenar Spain
Saeid Haghighatshoar Germany
Florian Zaruba Switzerland
Brett T. Walkenhorst United States
F. Vatta relative to Mike Darnell United Kingdom Mike Darnell's profile →
Citations per field
00.5×10×13×
Mike Darnell · 1×
Citations per year

Countries citing papers authored by F. Vatta

Since Specialization
Citations

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

Fields of papers citing papers by F. Vatta

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 101 papers — load more, or switch the sort, to bring in the rest.

#Work
1 200522
2 202022
3 200422
4 201720
5 201919
6 201818
7 201818
8 201714
9 200914
10 200514
11 201613
12 201212
13 200511
14 201111
15 201211
16 200311
17 201910
18 200810
19
Distortion estimation algorithms for real-time video streaming: An application scenario
20119
20 20238

About F. Vatta

F. Vatta is a scholar working on Computer Networks and Communications, Electrical and Electronic Engineering, Signal Processing, Artificial Intelligence and Aerospace Engineering, having authored 101 papers that have together received 520 indexed citations. Recurring topics across this work include Advanced Wireless Communication Techniques (58 papers), Error Correcting Code Techniques (44 papers), Wireless Communication Networks Research (20 papers), Coding theory and cryptography (16 papers), Cooperative Communication and Network Coding (12 papers), Advanced MIMO Systems Optimization (12 papers), Antenna Design and Optimization (9 papers) and Advanced Data Compression Techniques (8 papers). The work is most often cited by research in Computer Networks and Communications (355 citations), Electrical and Electronic Engineering (432 citations), Signal Processing (43 citations), Artificial Intelligence (125 citations) and Aerospace Engineering (62 citations). F. Vatta has collaborated with scholars based in Italy, United States and Germany. Frequent co-authors include F. Babich, G. Montorsi, Massimiliano Comisso, Giulia Buttazzoni, Alexandre Graell i Amat, Daniel J. Costello, P. Bruno, Adrish Banerjee, Jörg Kliewer and Vladimir Sidorenko. Their work appears in journals such as IEEE Transactions on Communications, Electronics Letters, IEEE Communications Letters, Sensors and Wireless Personal 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.

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