Martín Rocamora

511 total citations
19 papers, 164 citations indexed

About

Martín Rocamora is a scholar working on Signal Processing, Computer Vision and Pattern Recognition and Music. According to data from OpenAlex, Martín Rocamora has authored 19 papers receiving a total of 164 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Signal Processing, 11 papers in Computer Vision and Pattern Recognition and 4 papers in Music. Recurrent topics in Martín Rocamora's work include Music and Audio Processing (13 papers), Music Technology and Sound Studies (10 papers) and Speech and Audio Processing (6 papers). Martín Rocamora is often cited by papers focused on Music and Audio Processing (13 papers), Music Technology and Sound Studies (10 papers) and Speech and Audio Processing (6 papers). Martín Rocamora collaborates with scholars based in Uruguay, Spain and United States. Martín Rocamora's co-authors include Perfecto Herrera, Xavier Serra, Frederic Font, Marius Miron, Rainer Polak, Nori Jacoby, Kelly Jakubowski, M. Salhi, Martín Bessonart and Luiz W. P. Biscainho and has published in prestigious journals such as SHILAP Revista de lepidopterología, Cognition and Journal of Experimental Marine Biology and Ecology.

In The Last Decade

Martín Rocamora

16 papers receiving 154 citations

Peers

Martín Rocamora
Haohe Liu United Kingdom
Ho-Hsiang Wu United States
Mahmoud Al Ismail United States
Cyril Joder Germany
Haohe Liu United Kingdom
Martín Rocamora
Citations per year, relative to Martín Rocamora Martín Rocamora (= 1×) peers Haohe Liu

Countries citing papers authored by Martín Rocamora

Since Specialization
Citations

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

Fields of papers citing papers by Martín Rocamora

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Martín Rocamora

This figure shows the co-authorship network connecting the top 25 collaborators of Martín Rocamora. A scholar is included among the top collaborators of Martín Rocamora 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 Martín Rocamora. Martín Rocamora 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
1.
Rocamora, Martín, et al.. (2024). Selective Annotation of Few Data for Beat Tracking of Latin American Music Using Rhythmic Features. SHILAP Revista de lepidopterología. 7(1). 99–112.
2.
Bogdanov, Dmitry, et al.. (2024). Leveraging Pre-Trained Autoencoders for Interpretable Prototype Learning of Music Audio. 833–837. 2 indexed citations
3.
Etcheverry, Lorena, et al.. (2023). UN CONCEPTO VIAJERO. LA Referencia (Red Federada de Repositorios Institucionales de Publicaciones Científicas). 10(18). 152–180.
4.
Jakubowski, Kelly, et al.. (2022). Aesthetics of musical timing: Culture and expertise affect preferences for isochrony but not synchrony. Cognition. 227. 105205–105205. 12 indexed citations
5.
Rocamora, Martín, Luca Bondi, Julia Wilkins, et al.. (2022). Urban Sound & Sight: Dataset And Benchmark For Audio-Visual Urban Scene Understanding. ICASSP 2022 - 2022 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP). 141–145. 5 indexed citations
6.
Rocamora, Martín, et al.. (2021). An Interpretable Deep Learning Model for Automatic Sound Classification. Electronics. 10(7). 850–850. 31 indexed citations
7.
Clayton, Martin, Rainer Polak, Adrian Poole, et al.. (2021). The Interpersonal Entrainment in Music Performance Data Collection. SHILAP Revista de lepidopterología. 16(1). 65–84. 3 indexed citations
8.
Rocamora, Martín, et al.. (2019). MAVD: A Dataset for Sound Event Detection in Urban Environments. Faculty Digital Archive (New York University Florence). 263–267. 11 indexed citations
9.
Rocamora, Martín, et al.. (2019). End-to-end Convolutional Neural Networks for Sound Event Detection in Urban Environments. 533–539. 18 indexed citations
10.
Rocamora, Martín, et al.. (2019). Information Theory Concepts Applied to the Analysis of Rhythm in Recorded Music with Recurrent Rhythmic Patterns. Journal of the Audio Engineering Society. 67(4). 160–173. 2 indexed citations
11.
Poole, Adrian, et al.. (2018). Interpersonal Entrainment in Music Performance. Music Perception An Interdisciplinary Journal. 38(2). 136–194. 2 indexed citations
12.
Clayton, Martin, et al.. (2018). IEMP Uruguayan Candombe. OSF Preprints (OSF Preprints). 3 indexed citations
13.
Rocamora, Martín. (2018). Computational methods for percussion music analysis : the afro-uruguayan candombe drumming as a case study. Americanae (AECID Library). 2 indexed citations
14.
Rocamora, Martín, et al.. (2015). Beat And Downbeat Tracking Based On Rhythmic Patterns Applied To The Uruguayan Candombe Drumming.. Zenodo (CERN European Organization for Nuclear Research). 264–270. 6 indexed citations
15.
Bessonart, Martín, et al.. (2014). Diet estimation of Paralichthys orbignyanus in a coastal lagoon via quantitative fatty acid signature analysis. Journal of Experimental Marine Biology and Ecology. 462. 36–49. 16 indexed citations
16.
Rocamora, Martín, et al.. (2013). Query by humming: Automatically building the database from music recordings. Pattern Recognition Letters. 36. 272–280. 10 indexed citations
17.
Rocamora, Martín, et al.. (2009). An Efficient Multi-Resolution Spectral Transform For Music Analysis.. Zenodo (CERN European Organization for Nuclear Research). 309–314. 12 indexed citations
18.
Rocamora, Martín & Perfecto Herrera. (2007). Comparing audio descriptors for singing voice detection in music audio files. 28 indexed citations
19.
Rocamora, Martín, et al.. (2005). Tararira : sistema de búsqueda de música por melodía cantada. 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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