Fabio Castaldo

811 total citations
19 papers, 543 citations indexed

About

Fabio Castaldo is a scholar working on Artificial Intelligence, Signal Processing and Pulmonary and Respiratory Medicine. According to data from OpenAlex, Fabio Castaldo has authored 19 papers receiving a total of 543 indexed citations (citations by other indexed papers that have themselves been cited), including 18 papers in Artificial Intelligence, 17 papers in Signal Processing and 1 paper in Pulmonary and Respiratory Medicine. Recurrent topics in Fabio Castaldo's work include Speech Recognition and Synthesis (18 papers), Speech and Audio Processing (16 papers) and Music and Audio Processing (16 papers). Fabio Castaldo is often cited by papers focused on Speech Recognition and Synthesis (18 papers), Speech and Audio Processing (16 papers) and Music and Audio Processing (16 papers). Fabio Castaldo collaborates with scholars based in Italy, Canada and Austria. Fabio Castaldo's co-authors include Patrick Kenny, Daniele Colibro, Claudio Vair, Pietro Laface, Douglas A. Reynolds, Ondřej Glembek, Lukáš Burget, Pavel Matějka, Jaň Černocký and Oldřich Plchot and has published in prestigious journals such as IEEE Journal of Selected Topics in Signal Processing, IEEE Transactions on Audio Speech and Language Processing and PubMed.

In The Last Decade

Fabio Castaldo

18 papers receiving 472 citations

Peers

Fabio Castaldo
Comparison fields: 5 of 27
  • Artificial Intelligence 516
  • Signal Processing 491
  • Computer Vision and Pattern Recognition 33
  • Experimental and Cognitive Psychology 22
  • Pharmacy 8
Replace Ahilan Kanagasundaram with:
Ahilan Kanagasundaram Australia
Laurent Besacier France
Robbie Vogt Australia
Shivesh Ranjan United States
Venkata Ramana Rao Gadde United States
Yist Y. Lin Taiwan
Cheung-Chi Leung Singapore
Terry Gleason United States
Chenda Li China
Marcel Kockmann Czechia
Ahilan Kanagasundaram Australia View profile →
Citations per field, relative to Fabio Castaldo
Fabio Castaldo · 1×
Citations per year, relative to Fabio Castaldo
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Countries citing papers authored by Fabio Castaldo

Since Specialization
Citations

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

Fields of papers citing papers by Fabio Castaldo

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Fabio Castaldo

This figure shows the co-authorship network connecting the top 25 collaborators of Fabio Castaldo. A scholar is included among the top collaborators of Fabio Castaldo 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 Castaldo. Fabio Castaldo is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

19 of 19 papers shown
# Work Indexed citations
1 0
2 6
3 113
4 8
5 89
6
Comparison of Large–scale SVM Training Algorithms for Language Recognition
4
7 7
8 13
9 4
10 27
11 50
12 2
13 58
14 12
15 5
16 58
17 30
18
Speaker recognition using channel factors feature compensation
3
19 54

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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