Julián Urbano

1.7k total citations
49 papers, 844 citations indexed

About

Julián Urbano is a scholar working on Signal Processing, Computer Vision and Pattern Recognition and Artificial Intelligence. According to data from OpenAlex, Julián Urbano has authored 49 papers receiving a total of 844 indexed citations (citations by other indexed papers that have themselves been cited), including 28 papers in Signal Processing, 23 papers in Computer Vision and Pattern Recognition and 18 papers in Artificial Intelligence. Recurrent topics in Julián Urbano's work include Music and Audio Processing (26 papers), Music Technology and Sound Studies (23 papers) and Speech and Audio Processing (8 papers). Julián Urbano is often cited by papers focused on Music and Audio Processing (26 papers), Music Technology and Sound Studies (23 papers) and Speech and Audio Processing (8 papers). Julián Urbano collaborates with scholars based in Spain, Netherlands and Austria. Julián Urbano's co-authors include Markus Schedl, Mónica Marrero, Arthur Flexer, Emília Gómez, Jorge Morato, Diego Martín, Sonia Sánchez-Cuadrado, Anja Volk, Geoffroy Peeters and Juan Miguel Gómez-Berbís and has published in prestigious journals such as SHILAP Revista de lepidopterología, Neural Computing and Applications and Computer Standards & Interfaces.

In The Last Decade

Julián Urbano

46 papers receiving 793 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Julián Urbano Spain 14 480 391 313 159 158 49 844
Rodger J. McNab New Zealand 12 501 1.0× 503 1.3× 285 0.9× 64 0.4× 218 1.4× 23 894
Eva Zangerle Austria 13 228 0.5× 166 0.4× 272 0.9× 48 0.3× 340 2.2× 65 639
Jeremy Pickens United States 13 279 0.6× 299 0.8× 133 0.4× 62 0.4× 230 1.5× 37 614
Donald Byrd United States 12 272 0.6× 291 0.7× 163 0.5× 61 0.4× 134 0.8× 27 511
Peter Knees Austria 21 943 2.0× 856 2.2× 339 1.1× 191 1.2× 204 1.3× 92 1.2k
Yves Raimond United Kingdom 12 222 0.5× 188 0.5× 315 1.0× 21 0.1× 207 1.3× 31 557
Marius Kaminskas Italy 9 222 0.5× 229 0.6× 200 0.6× 71 0.4× 388 2.5× 11 619
Rocco Zaccagnino Italy 14 161 0.3× 191 0.5× 118 0.4× 63 0.4× 77 0.5× 57 461
Paul Vickers United Kingdom 13 96 0.2× 242 0.6× 99 0.3× 146 0.9× 163 1.0× 57 556
Bill Manaris United States 13 119 0.2× 154 0.4× 152 0.5× 148 0.9× 136 0.9× 66 650

Countries citing papers authored by Julián Urbano

Since Specialization
Citations

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

Fields of papers citing papers by Julián Urbano

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Julián Urbano

This figure shows the co-authorship network connecting the top 25 collaborators of Julián Urbano. A scholar is included among the top collaborators of Julián Urbano 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 Julián Urbano. Julián Urbano 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.
Urbano, Julián, et al.. (2024). The Treatment of Ties in Rank-Biased Overlap. arXiv (Cornell University). 251–260. 5 indexed citations
2.
Bogdanov, Dmitry, et al.. (2019). The AcousticBrainz Genre Dataset: Multi-Source, Multi-Level, Multi-Label, and Large-Scale. Zenodo (CERN European Organization for Nuclear Research). 5 indexed citations
3.
Urbano, Julián & Mónica Marrero. (2017). The Treatment of Ties in AP Correlation. Research Repository (Delft University of Technology). 321–324. 6 indexed citations
4.
Marrero, Mónica & Julián Urbano. (2017). A Semi-automatic and low-cost method to learn patterns for named entity recognition. Natural Language Engineering. 24(1). 39–75. 4 indexed citations
5.
McFee, Brian, Eric J. Humphrey, & Julián Urbano. (2016). A plan for sustainable MIR evaluation. International Symposium/Conference on Music Information Retrieval. 285–291. 5 indexed citations
6.
Urbano, Julián & Mónica Marrero. (2016). Toward Estimating the Rank Correlation between the Test Collection Results and the True System Performance. 1033–1036. 2 indexed citations
7.
Schedl, Markus, Emília Gómez, & Julián Urbano. (2014). Music Information Retrieval: Recent Developments and Applications. Repositori digital de la UPF (Universitat Pompeu Fabra). 8(2–3). 127–261. 130 indexed citations
8.
Urbano, Julián, Dmitry Bogdanov, Perfecto Herrera, Emília Gómez, & Xavier Serra. (2014). What Is The Effect Of Audio Quality On The Robustness Of Mfccs And Chroma Features?. Repositori digital de la UPF (Universitat Pompeu Fabra). 573–578. 9 indexed citations
9.
Schedl, Markus, Arthur Flexer, & Julián Urbano. (2013). The neglected user in music information retrieval research. Journal of Intelligent Information Systems. 41(3). 523–539. 75 indexed citations
10.
Schedl, Markus, David Hauger, & Julián Urbano. (2013). Harvesting microblogs for contextual music similarity estimation: a co-occurrence-based framework. Multimedia Systems. 20(6). 693–705. 10 indexed citations
11.
Urbano, Julián & Markus Schedl. (2012). Minimal test collections for low-cost evaluation of Audio Music Similarity and Retrieval systems. International Journal of Multimedia Information Retrieval. 2(1). 59–70. 11 indexed citations
12.
Martín, Diego, Javier García Guzmán, Julián Urbano, & Juan Lloréns. (2012). Patterns as objects to manage knowledge in software development organizations. Knowledge Management Research & Practice. 10(3). 252–274. 9 indexed citations
13.
Guzmán, Javier García, Diego Martín, Julián Urbano, & Antonio de Amescua Seco. (2012). Practical experiences in modelling software engineering practices: The project patterns approach. Software Quality Journal. 21(2). 325–354. 4 indexed citations
14.
Salamon, Justin & Julián Urbano. (2012). Current Challenges In The Evaluation Of Predominant Melody Extraction Algorithms.. Zenodo (CERN European Organization for Nuclear Research). 289–294. 14 indexed citations
15.
Martín, Diego, et al.. (2011). Virtualización, una solución para la Eficiencia, Seguridad y Administración de Intranets. El Profesional de la Informacion. 20(3). 348–355. 1 indexed citations
16.
Urbano, Julián, Diego Martín, Mónica Marrero, & Jorge Morato. (2011). Audio Music Similarity And Retrieval: Evaluation Power And Stability.. Zenodo (CERN European Organization for Nuclear Research). 597–602. 9 indexed citations
17.
Urbano, Julián, Mónica Marrero, Diego Martín, & Juan Lloréns. (2010). Improving The Generation Of Ground Truths Based On Partially Ordered Lists.. Zenodo (CERN European Organization for Nuclear Research). 285–290. 10 indexed citations
18.
Marrero, Mónica, Sonia Sánchez-Cuadrado, Julián Urbano, Jorge Morato, & José Antônio Moreiro González. (2010). Sistemas de recuperación de información adaptados al dominio biomédico. El Profesional de la Informacion. 19(3). 246–254. 2 indexed citations
19.
Marrero, Mónica, Julián Urbano, Jorge Morato, & Sonia Sánchez-Cuadrado. (2010). On the definition of patterns for semantic annotation. 15–16. 1 indexed citations
20.
Frakes, William B., et al.. (2010). COMPUTER SUPPORT FOR A CROSS-DISCIPLINE RESEARCH CONSORTIUM. 154–159.

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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