Pedro Cano

2.4k citations
64 papers · 1.5k · h-index 20

Impact in

Papers in

Pedro Cano

63 papers receiving 1.3k citations

Peers

Pedro Cano
Comparison fields: 5 of 103
  • Signal Processing 1.1k
  • Computer Vision and Pattern Recognition 920
  • Music 58
  • Developmental Biology 29
  • Statistical and Nonlinear Physics 115
Replace Paul Lamere with:
Paul Lamere United States
Peter Knees Austria
Joan Serrà Spain
Brian Whitman United States
Douglas Turnbull United States
Julián Urbano Spain
Bryan Pardo United States
Arbee L. P. Chen Taiwan
Michael Zeng United States
Zbigniew W. Raś United States
Pedro Cano relative to Paul Lamere United States Paul Lamere's profile →
Citations per field
00.5×4.4×
Paul Lamere · 1×
Citations per year

Countries citing papers authored by Pedro Cano

Since Specialization
Citations

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

Fields of papers citing papers by Pedro Cano

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 64 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2005225
2 2004156
3 2006137
4 200892
5 200667
6 200554
7 200554
8
ISMIR 2004 Audio Description Contest
200648
9
Robust Sound Modeling for Song Detection in Broadcast Audio
200246
10
Score-Performance Matching using HMMs
199939
11
Low-Delay Singing Voice Alignment to Text.
199934
12 200533
13
Voice Morphing System for Impersonating in Karaoke Applications
200032
14 200230
15 200730
16 200227
17 200225
18 200625
19
Fundamental Frequency Estimation in the SMS analysis
199824
20 200521

About Pedro Cano

Pedro Cano is a scholar working on Signal Processing, Computer Vision and Pattern Recognition, Artificial Intelligence, Statistical and Nonlinear Physics and Geology, having authored 64 papers that have together received 1.5k indexed citations. Recurring topics across this work include Music and Audio Processing (36 papers), Speech and Audio Processing (19 papers), Music Technology and Sound Studies (16 papers), Speech Recognition and Synthesis (12 papers), Complex Network Analysis Techniques (8 papers), 3D Surveying and Cultural Heritage (7 papers), Opinion Dynamics and Social Influence (7 papers) and Computational Geometry and Mesh Generation (4 papers). The work is most often cited by research in Signal Processing (1.1k citations), Computer Vision and Pattern Recognition (920 citations), Music (58 citations), Developmental Biology (29 citations) and Statistical and Nonlinear Physics (115 citations). Pedro Cano has collaborated with scholars based in Spain, Austria and Finland. Frequent co-authors include Ton Kalker, Jaap Haitsma, Markus Koppenberger, Eloi Batlle, Òscar Celma, Fabien Gouyon, Nicolas Wack, Javier M. Buldú, Àlex Loscos and Jordi Bonada. Their work appears in journals such as Virtual Archaeology Review, Chaos An Interdisciplinary Journal of Nonlinear Science, Journal of the Audio Engineering Society, International Journal of Bifurcation and Chaos and Computers & Graphics.

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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