Claudio Vair

487 total citations
23 papers, 320 citations indexed

About

Claudio Vair is a scholar working on Artificial Intelligence, Signal Processing and Computer Networks and Communications. According to data from OpenAlex, Claudio Vair has authored 23 papers receiving a total of 320 indexed citations (citations by other indexed papers that have themselves been cited), including 22 papers in Artificial Intelligence, 17 papers in Signal Processing and 1 paper in Computer Networks and Communications. Recurrent topics in Claudio Vair's work include Speech Recognition and Synthesis (19 papers), Speech and Audio Processing (16 papers) and Music and Audio Processing (15 papers). Claudio Vair is often cited by papers focused on Speech Recognition and Synthesis (19 papers), Speech and Audio Processing (16 papers) and Music and Audio Processing (15 papers). Claudio Vair collaborates with scholars based in Italy and Austria. Claudio Vair's co-authors include Daniele Colibro, Pietro Laface, Fabio Castaldo, Sandro Cumani and K Farrell and has published in prestigious journals such as IEEE Transactions on Audio Speech and Language Processing, Proceedings of the ... IEEE International Conference on Acoustics, Speech, and Signal Processing and IEEE International Conference on Acoustics Speech and Signal Processing.

In The Last Decade

Claudio Vair

20 papers receiving 279 citations

Peers

Claudio Vair
Comparison fields: 5 of 17
  • Artificial Intelligence 309
  • Signal Processing 278
  • Computer Vision and Pattern Recognition 17
  • Experimental and Cognitive Psychology 12
  • Control and Systems Engineering 2
Replace Daniele Colibro with:
Daniele Colibro Italy
Steven Wegmann United States
Josh Abramson United States
Jaime Hernández-Cordero United States
Fabio Castaldo Italy
K.M. Knill United Kingdom
Stephen A. Lowe United States
Puming Zhan United States
Julian Chan United States
Ho Yin Chan United Kingdom
Daniele Colibro Italy View profile →
Citations per field, relative to Claudio Vair
Claudio Vair · 1×
Citations per year, relative to Claudio Vair
Claudio Vair · 1×

Countries citing papers authored by Claudio Vair

Since Specialization
Citations

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

Fields of papers citing papers by Claudio Vair

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Claudio Vair

This figure shows the co-authorship network connecting the top 25 collaborators of Claudio Vair. A scholar is included among the top collaborators of Claudio Vair 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 Claudio Vair. Claudio Vair 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
# Work Indexed citations
1 2
2 5
3 45
4 6
5
Comparison of Large–scale SVM Training Algorithms for Language Recognition
4
6 13
7 2
8 58
9 12
10 5
11 58
12 30
13
Speaker recognition using channel factors feature compensation
3
14 1
15 2
16 4
17 3
18 2
19 2
20 2

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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