Ana M. Barbancho

561 total citations
59 papers, 349 citations indexed

About

Ana M. Barbancho is a scholar working on Signal Processing, Computer Vision and Pattern Recognition and Cognitive Neuroscience. According to data from OpenAlex, Ana M. Barbancho has authored 59 papers receiving a total of 349 indexed citations (citations by other indexed papers that have themselves been cited), including 38 papers in Signal Processing, 30 papers in Computer Vision and Pattern Recognition and 15 papers in Cognitive Neuroscience. Recurrent topics in Ana M. Barbancho's work include Music and Audio Processing (34 papers), Music Technology and Sound Studies (25 papers) and Speech and Audio Processing (18 papers). Ana M. Barbancho is often cited by papers focused on Music and Audio Processing (34 papers), Music Technology and Sound Studies (25 papers) and Speech and Audio Processing (18 papers). Ana M. Barbancho collaborates with scholars based in Spain, Canada and Italy. Ana M. Barbancho's co-authors include Lorenzo J. Tardón, Isabel Barbancho, Simone Sammartino, Anssi Klapuri, Jorge Calvo-Zaragoza, Emília Gómez, Alberto Peinado, Cristina Urdiales, Elvira Brattico and George Tzanetakis and has published in prestigious journals such as Expert Systems with Applications, IEEE Transactions on Communications and Knowledge-Based Systems.

In The Last Decade

Ana M. Barbancho

48 papers receiving 321 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Ana M. Barbancho Spain 10 274 226 73 46 25 59 349
Isabel Barbancho Spain 10 315 1.1× 267 1.2× 82 1.1× 41 0.9× 29 1.2× 67 399
Lorenzo J. Tardón Spain 11 316 1.2× 271 1.2× 82 1.1× 47 1.0× 29 1.2× 67 448
Li-Chia Yang United States 8 367 1.3× 339 1.5× 163 2.2× 123 2.7× 22 0.9× 10 498
Thom Blum United States 6 539 2.0× 477 2.1× 65 0.9× 72 1.6× 14 0.6× 9 626
Cheng-Zhi Anna Huang United States 7 208 0.8× 212 0.9× 90 1.2× 67 1.5× 19 0.8× 13 286
Ju-Chiang Wang Taiwan 14 374 1.4× 260 1.2× 130 1.8× 136 3.0× 22 0.9× 35 503
Siddharth Sigtia United Kingdom 9 385 1.4× 262 1.2× 50 0.7× 116 2.5× 40 1.6× 13 431
Nicholas J. Bryan United States 16 356 1.3× 230 1.0× 97 1.3× 109 2.4× 22 0.9× 32 479
Curtis Hawthorne United States 7 185 0.7× 183 0.8× 81 1.1× 55 1.2× 15 0.6× 9 239
Nicola Montecchio Italy 7 233 0.9× 120 0.5× 64 0.9× 104 2.3× 10 0.4× 11 315

Countries citing papers authored by Ana M. Barbancho

Since Specialization
Citations

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

Fields of papers citing papers by Ana M. Barbancho

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Ana M. Barbancho. 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 Ana M. Barbancho. The network helps show where Ana M. Barbancho may publish in the future.

Co-authorship network of co-authors of Ana M. Barbancho

This figure shows the co-authorship network connecting the top 25 collaborators of Ana M. Barbancho. A scholar is included among the top collaborators of Ana M. Barbancho 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 Ana M. Barbancho. Ana M. Barbancho 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.
Tardón, Lorenzo J., et al.. (2025). EEG-based listened-language classification. Expert Systems with Applications. 288. 128276–128276.
2.
Tardón, Lorenzo J., et al.. (2024). Implementation of Tools for Lessening the Influence of Artifacts in EEG Signal Analysis. Applied Sciences. 14(3). 971–971. 1 indexed citations
3.
Barbancho, Ana M., Isabel Barbancho, Lorenzo J. Tardón, & Alberto Peinado. (2024). Women in Telecommunication Engineering: Case Studies. IEEE Revista Iberoamericana de Tecnologias del Aprendizaje. 19. 61–70.
4.
Barbancho, Ana M., et al.. (2023). Energy-based features and bi-LSTM neural network for EEG-based music and voice classification. Neural Computing and Applications. 36(2). 791–802. 5 indexed citations
5.
Tardón, Lorenzo J., et al.. (2023). Enhanced average for event-related potential analysis using dynamic time warping. Biomedical Signal Processing and Control. 87. 105531–105531. 4 indexed citations
6.
Barbancho, Ana M., Lorenzo J. Tardón, & Isabel Barbancho. (2023). Building music with Lego bricks and Raspberry Pi. Multimedia Tools and Applications. 83(4). 10503–10523.
7.
Tardón, Lorenzo J., et al.. (2022). Bi-LSTM neural network for EEG-based error detection in musicians’ performance. Biomedical Signal Processing and Control. 78. 103885–103885. 6 indexed citations
8.
Tardón, Lorenzo J., Isabel Barbancho, Ana M. Barbancho, & Ichiro Fujinaga. (2020). Automatic Staff Reconstruction within SIMSSA Project. Applied Sciences. 10(7). 2468–2468.
9.
Tardón, Lorenzo J., et al.. (2019). Preprocessing for Lessening the Influence of Eye Artifacts in EEG Analysis. Applied Sciences. 9(9). 1757–1757. 5 indexed citations
10.
Tardón, Lorenzo J., Isabel Barbancho, Ana M. Barbancho, et al.. (2019). 16th Sound and Music Computing Conference SMC 2019 (28–31 May 2019, Malaga, Spain). Applied Sciences. 9(12). 2492–2492. 1 indexed citations
11.
Barbancho, Isabel, George Tzanetakis, Ana M. Barbancho, & Lorenzo J. Tardón. (2018). Discrimination Between Ascending/Descending Pitch Arpeggios. IEEE/ACM Transactions on Audio Speech and Language Processing. 26(11). 2194–2203. 2 indexed citations
12.
Tardón, Lorenzo J., et al.. (2017). A non-homogeneous beat-based harmony Markov model. Knowledge-Based Systems. 142. 85–94. 5 indexed citations
13.
Barbancho, Ana M., Isabel Barbancho, Lorenzo J. Tardón, et al.. (2017). HISTORY AND POSTERS: DYNAMIZING ELEMENTS IN THE LEARNING PROCESS AT TELECOMMUNICATION ENGINEERING. EDULEARN proceedings. 1. 8080–8087. 2 indexed citations
14.
Tardón, Lorenzo J., et al.. (2016). Spectral Envelope Transformation in Singing Voice for Advanced Pitch Shifting. Applied Sciences. 6(11). 368–368. 3 indexed citations
15.
Barbancho, Ana M., et al.. (2013). Dissonance Reduction In Polyphonic Audio Using Harmonic Reorganization. IEEE/ACM Transactions on Audio Speech and Language Processing. 22(2). 325–334. 3 indexed citations
16.
Barbancho, Ana M., Isabel Barbancho, & Lorenzo J. Tardón. (2012). MUSICAL ACOUSTICS: IMPROVED MOTIVATION OF STUDENTS THROUGH THEIR ACTIVE PARTICIPATION. 907–913. 1 indexed citations
17.
Barbancho, Ana M., Isabel Barbancho, & Antonio M. Peinado. (2011). IMPROVEMENT OF THE AUTONOMOUS AND COOPERATIVE LEARNING IN THE TELECOMMUNICATION ENGINEERING STUDENTS AT THE UNIVERSITY OF MALAGA. 3486–3490. 1 indexed citations
18.
Barbancho, Ana M., et al.. (2010). Polyphony Number Estimator for Piano Recordings Using Different Spectral Patterns. Journal of the Audio Engineering Society.
19.
Barbancho, Isabel, et al.. (2010). Automatic search and delimitation of frontispieces in ancient scores. European Signal Processing Conference. 254–258. 4 indexed citations
20.
Barbancho, Isabel, Lorenzo J. Tardón, Ana M. Barbancho, & Simone Sammartino. (2009). Pitch and Played String Estimation in Classic and Acoustic Guitars. Journal of the Audio Engineering Society. 4 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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