Daniele Colibro

474 total citations
19 papers, 315 citations indexed

About

Daniele Colibro is a scholar working on Artificial Intelligence, Signal Processing and Computer Vision and Pattern Recognition. According to data from OpenAlex, Daniele Colibro has authored 19 papers receiving a total of 315 indexed citations (citations by other indexed papers that have themselves been cited), including 19 papers in Artificial Intelligence, 16 papers in Signal Processing and 1 paper in Computer Vision and Pattern Recognition. Recurrent topics in Daniele Colibro's work include Speech Recognition and Synthesis (19 papers), Speech and Audio Processing (15 papers) and Music and Audio Processing (14 papers). Daniele Colibro is often cited by papers focused on Speech Recognition and Synthesis (19 papers), Speech and Audio Processing (15 papers) and Music and Audio Processing (14 papers). Daniele Colibro collaborates with scholars based in Italy and Austria. Daniele Colibro's co-authors include Claudio Vair, 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 European Signal Processing Conference.

In The Last Decade

Daniele Colibro

18 papers receiving 277 citations

Peers

Daniele Colibro
Comparison fields: 5 of 17
  • Artificial Intelligence 304
  • Signal Processing 279
  • Computer Vision and Pattern Recognition 16
  • Experimental and Cognitive Psychology 12
  • Control and Systems Engineering 2
Replace Claudio Vair with:
Claudio Vair Italy
Steven Wegmann United States
Josh Abramson United States
Jaime Hernández-Cordero United States
Fabio Castaldo Italy
K.M. Knill United Kingdom
Julian Chan United States
Puming Zhan United States
Stephen A. Lowe United States
Ho Yin Chan United Kingdom
Claudio Vair Italy View profile →
Citations per field, relative to Daniele Colibro
Daniele Colibro · 1×
Citations per year, relative to Daniele Colibro
Daniele Colibro · 1×

Countries citing papers authored by Daniele Colibro

Since Specialization
Citations

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

Fields of papers citing papers by Daniele Colibro

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Daniele Colibro

This figure shows the co-authorship network connecting the top 25 collaborators of Daniele Colibro. A scholar is included among the top collaborators of Daniele Colibro 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 Daniele Colibro. Daniele Colibro 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 2
2 5
3 45
4 6
5
Comparison of Large–scale SVM Training Algorithms for Language Recognition
4
6 7
7 13
8 4
9 2
10 58
11 12
12 5
13 58
14 30
15
Speaker recognition using channel factors feature compensation
3
16 1
17 54
18 2
19 4

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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2026