Fabio Antonacci

179 papers receiving 2.5k citations

Peers

Fabio Antonacci
Comparison fields: 5 of 88
  • Signal Processing 1.9k
  • Computer Vision and Pattern Recognition 648
  • Computational Mechanics 480
  • Cognitive Neuroscience 359
  • Oceanography 217
Replace Jonathan S. Abel with:
Jonathan S. Abel United States
Maurizio Omologo Italy
Máximo Cobos Spain
Laurent Girin France
Jean-Marc Valin United States
Yong Xu United States
Alexey Ozerov France
Yi Luo China
Athanasios Mouchtaris Greece
Jonathan Le Roux United States
Fabio Antonacci relative to Jonathan S. Abel United States Jonathan S. Abel's profile →
Citations per field
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Jonathan S. Abel · 1×
Citations per year

Countries citing papers authored by Fabio Antonacci

Since Specialization
Citations

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

Fields of papers citing papers by Fabio Antonacci

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 192 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2007278
2 2017140
3 2012108
4 201285
5 200777
6 202068
7 202156
8 201055
9 201752
10 202151
11 202048
12 202241
13 201540
14 202140
15 200839
16 201936
17 202134
18 201333
19 202230
20 201229

About Fabio Antonacci

Fabio Antonacci is a scholar working on Signal Processing, Computer Vision and Pattern Recognition, Cognitive Neuroscience, Computational Mechanics and Oceanography, having authored 192 papers that have together received 2.5k indexed citations. Recurring topics across this work include Speech and Audio Processing (119 papers), Music and Audio Processing (65 papers), Music Technology and Sound Studies (38 papers), Acoustic Wave Phenomena Research (36 papers), Advanced Adaptive Filtering Techniques (36 papers), Hearing Loss and Rehabilitation (33 papers), Indoor and Outdoor Localization Technologies (21 papers) and Underwater Acoustics Research (19 papers). The work is most often cited by research in Signal Processing (1.9k citations), Computer Vision and Pattern Recognition (648 citations), Computational Mechanics (480 citations), Cognitive Neuroscience (359 citations) and Oceanography (217 citations). Fabio Antonacci has collaborated with scholars based in Italy, Germany and United States. Frequent co-authors include Augusto Sarti, Stefano Tubaro, Marco Tagliasacchi, Antonio Canclini, Giuseppe Valenzise, Lorenzo Gerosa, Mirco Pezzoli, Máximo Cobos, Paolo Bestagini and Federico Borra. Their work appears in journals such as IEEE/ACM Transactions on Audio Speech and Language Processing, The Journal of the Acoustical Society of America, IEEE Transactions on Audio Speech and Language Processing, Journal of the Audio Engineering Society and Wireless Communications and Mobile Computing.

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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