Estefanía Cano

689 total citations
34 papers, 318 citations indexed

About

Estefanía Cano is a scholar working on Signal Processing, Computer Vision and Pattern Recognition and Cognitive Neuroscience. According to data from OpenAlex, Estefanía Cano has authored 34 papers receiving a total of 318 indexed citations (citations by other indexed papers that have themselves been cited), including 27 papers in Signal Processing, 15 papers in Computer Vision and Pattern Recognition and 9 papers in Cognitive Neuroscience. Recurrent topics in Estefanía Cano's work include Music and Audio Processing (25 papers), Speech and Audio Processing (22 papers) and Music Technology and Sound Studies (13 papers). Estefanía Cano is often cited by papers focused on Music and Audio Processing (25 papers), Speech and Audio Processing (22 papers) and Music Technology and Sound Studies (13 papers). Estefanía Cano collaborates with scholars based in Germany, Spain and United States. Estefanía Cano's co-authors include Derry Fitzgerald, Christian Dittmar, Jakob Abeßer, Perfecto Herrera, Emília Gómez, Mark D. Plumbley, Antoine Liutkus, Fabian-Robert Stöter, Gerald Schuller and Yi‐Hsuan Yang and has published in prestigious journals such as SHILAP Revista de lepidopterología, Scientific Reports and IEEE Signal Processing Magazine.

In The Last Decade

Estefanía Cano

33 papers receiving 302 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Estefanía Cano Germany 10 264 132 85 50 31 34 318
Jordi Janer Spain 10 275 1.0× 177 1.3× 99 1.2× 48 1.0× 13 0.4× 43 333
José R. Zapata Spain 8 373 1.4× 282 2.1× 110 1.3× 46 0.9× 34 1.1× 12 409
Juan José Burred France 9 200 0.8× 113 0.9× 64 0.8× 33 0.7× 10 0.3× 20 265
Mert Bay United States 8 316 1.2× 204 1.5× 90 1.1× 70 1.4× 29 0.9× 13 347
Óscar Mayor Spain 8 324 1.2× 259 2.0× 132 1.6× 44 0.9× 46 1.5× 19 401
Christopher Harte United Kingdom 6 363 1.4× 289 2.2× 119 1.4× 60 1.2× 39 1.3× 15 407
Satoru Fukayama Japan 9 191 0.7× 196 1.5× 64 0.8× 89 1.8× 10 0.3× 42 292
Jordi Pons Spain 11 427 1.6× 220 1.7× 79 0.9× 148 3.0× 46 1.5× 21 503
Danning Jiang China 5 268 1.0× 149 1.1× 45 0.5× 103 2.1× 19 0.6× 13 349
Nicola Montecchio Italy 7 233 0.9× 120 0.9× 64 0.8× 104 2.1× 10 0.3× 11 315

Countries citing papers authored by Estefanía Cano

Since Specialization
Citations

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

Fields of papers citing papers by Estefanía Cano

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Estefanía Cano

This figure shows the co-authorship network connecting the top 25 collaborators of Estefanía Cano. A scholar is included among the top collaborators of Estefanía Cano 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 Estefanía Cano. Estefanía Cano 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
1.
Herff, Steffen A., et al.. (2025). Solitary silence and social sounds: music can influence mental imagery, inducing thoughts of social interactions. Scientific Reports. 15(1). 27583–27583. 1 indexed citations
2.
Porter, Alastair, Estefanía Cano, Perfecto Herrera, et al.. (2022). TROMPA-MER: an open dataset for personalized music emotion recognition. Journal of Intelligent Information Systems. 60(2). 549–570. 9 indexed citations
3.
Cano, Estefanía, et al.. (2021). Improving Semi-Supervised Learning for Audio Classification with FixMatch. Electronics. 10(15). 1807–1807. 12 indexed citations
4.
Cano, Estefanía, et al.. (2021). Language-Sensitive Music Emotion Recognition Models: are We Really There Yet?. 576–580. 1 indexed citations
5.
Cano, Estefanía, Tuomas Eerola, Perfecto Herrera, et al.. (2021). Music Emotion Recognition: Toward new, robust standards in personalized and context-sensitive applications. IEEE Signal Processing Magazine. 38(6). 106–114. 59 indexed citations
6.
Cano, Estefanía, et al.. (2021). The effect of low-frequency equalisation on preference and sensorimotor synchronisation in music. Quarterly Journal of Experimental Psychology. 75(3). 475–490. 6 indexed citations
7.
Cano, Estefanía, et al.. (2020). Joyful for you and tender for us: the influence of individual characteristics and language on emotion labeling and classification. Zenodo (CERN European Organization for Nuclear Research). 853–860. 11 indexed citations
8.
Herrera, Perfecto, et al.. (2019). The emotions that we perceive in music: the influence of language and lyrics comprehension on agreement. Repositori digital de la UPF (Universitat Pompeu Fabra). 1 indexed citations
9.
Cano, Estefanía, Derry Fitzgerald, Antoine Liutkus, Mark D. Plumbley, & Fabian-Robert Stöter. (2018). Musical Source Separation: An Introduction. IEEE Signal Processing Magazine. 36(1). 31–40. 55 indexed citations
10.
Abeßer, Jakob, et al.. (2018). Jazz Solo Instrument Classification with Convolutional Neural Networks, Source Separation, and Transfer Learning. Publikationsdatenbank der Fraunhofer-Gesellschaft (Fraunhofer-Gesellschaft). 577–584. 22 indexed citations
11.
Brandenburg, Karlheinz, et al.. (2018). Plausible Augmentation of Auditory Scenes Using Dynamic Binaural Synthesis for Personalized Auditory Realities. Publikationsdatenbank der Fraunhofer-Gesellschaft (Fraunhofer-Gesellschaft). 3 indexed citations
12.
Frieler, Klaus, et al.. (2016). Score-Informed Analysis of Tuning, Intonation, Pitch Modulation, and Dynamics in Jazz Solos. IEEE/ACM Transactions on Audio Speech and Language Processing. 25(1). 168–177. 6 indexed citations
13.
Cano, Estefanía, et al.. (2015). New Sonorities For Early Jazz Recordings Using Sound Source Separation And Automatic Mixing Tools.. Publikationsdatenbank der Fraunhofer-Gesellschaft (Fraunhofer-Gesellschaft). 749–755. 6 indexed citations
14.
Abeßer, Jakob, et al.. (2015). Score-Informed Analysis Of Intonation And Pitch Modulation In Jazz Solos.. Publikationsdatenbank der Fraunhofer-Gesellschaft (Fraunhofer-Gesellschaft). 823–829. 4 indexed citations
15.
Cano, Estefanía, Gerald Schuller, & Christian Dittmar. (2014). Pitch-informed solo and accompaniment separation towards its use in music education applications. EURASIP Journal on Advances in Signal Processing. 2014(1). 13 indexed citations
16.
Weiß, Ch., Estefanía Cano, & Hanna Lukashevich. (2014). A Mid-Level Approach to Local Tonality Analysis: Extracting Key Signatures from Audio. Publikationsdatenbank der Fraunhofer-Gesellschaft (Fraunhofer-Gesellschaft). 2 indexed citations
17.
Cano, Estefanía, Christian Dittmar, & Gerald Schuller. (2013). RE-THINKING SOUND SEPARATION: PRIOR INFORMATION AND ADDITIVITY CONSTRAINT IN SEPARATION ALGORITHMS. Publikationsdatenbank der Fraunhofer-Gesellschaft (Fraunhofer-Gesellschaft). 6 indexed citations
18.
Dittmar, Christian, et al.. (2012). Music Information Retrieval Meets Music Education. DROPS (Schloss Dagstuhl – Leibniz Center for Informatics). 19 indexed citations
19.
Dittmar, Christian, et al.. (2012). Towards lyrics spotting in the SyncGlobal project. Fraunhofer-Publica (Fraunhofer-Gesellschaft). 1–6. 4 indexed citations
20.
Mohammad‐Djafari, Ali, et al.. (2002). Reconstruction of the shape of a compact object from few projections. 1. 165–168. 1 indexed citations

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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