Emília Gómez

6.6k total citations · 1 hit paper
167 papers, 3.2k citations indexed

About

Emília Gómez is a scholar working on Signal Processing, Computer Vision and Pattern Recognition and Cognitive Neuroscience. According to data from OpenAlex, Emília Gómez has authored 167 papers receiving a total of 3.2k indexed citations (citations by other indexed papers that have themselves been cited), including 125 papers in Signal Processing, 105 papers in Computer Vision and Pattern Recognition and 37 papers in Cognitive Neuroscience. Recurrent topics in Emília Gómez's work include Music and Audio Processing (124 papers), Music Technology and Sound Studies (95 papers) and Speech and Audio Processing (63 papers). Emília Gómez is often cited by papers focused on Music and Audio Processing (124 papers), Music Technology and Sound Studies (95 papers) and Speech and Audio Processing (63 papers). Emília Gómez collaborates with scholars based in Spain, Belgium and United States. Emília Gómez's co-authors include Justin Salamon, Perfecto Herrera, Xavier Serra, Joan Serrà, Markus Schedl, Daniel P. W. Ellis, Jordi Bonada, Julián Urbano, José R. Zapata and Dmitry Bogdanov and has published in prestigious journals such as SHILAP Revista de lepidopterología, Scientific Reports and Computer.

In The Last Decade

Emília Gómez

159 papers receiving 2.9k citations

Hit Papers

Social Media Use and adolescents' mental health and well-... 2024 2026 2025 2024 5 10 15 20

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Emília Gómez Spain 27 2.5k 1.9k 663 545 231 167 3.2k
Markus Schedl Austria 31 2.1k 0.9× 2.0k 1.0× 651 1.0× 1.1k 1.9× 248 1.1× 235 4.0k
Josep Lluís Arcos Spain 19 447 0.2× 415 0.2× 182 0.3× 453 0.8× 51 0.2× 85 1.3k
Marko Tkalčič Slovenia 20 253 0.1× 450 0.2× 193 0.3× 334 0.6× 43 0.2× 88 1.5k
Alexander Raake Germany 30 1.1k 0.4× 2.1k 1.1× 392 0.6× 253 0.5× 4 0.0× 235 3.3k
Nicolas Tsapatsoulis Cyprus 18 758 0.3× 1.1k 0.6× 445 0.7× 782 1.4× 4 0.0× 109 2.7k
Charalampos Dimoulas Greece 20 511 0.2× 312 0.2× 75 0.1× 257 0.5× 15 0.1× 109 1.3k
Takuichi Nishimura Japan 14 724 0.3× 607 0.3× 133 0.2× 339 0.6× 23 0.1× 84 1.4k
Nick Collins United Kingdom 17 455 0.2× 683 0.4× 330 0.5× 93 0.2× 84 0.4× 79 1.1k
Alexander I. Rudnicky United States 31 524 0.2× 444 0.2× 404 0.6× 3.0k 5.4× 4 0.0× 204 3.9k
Rajiv Ratn Shah India 32 541 0.2× 519 0.3× 67 0.1× 1.6k 3.0× 9 0.0× 173 3.1k

Countries citing papers authored by Emília Gómez

Since Specialization
Citations

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

Fields of papers citing papers by Emília Gómez

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Emília Gómez

This figure shows the co-authorship network connecting the top 25 collaborators of Emília Gómez. A scholar is included among the top collaborators of Emília Gómez 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 Emília Gómez. Emília Gómez 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.
Alonso, David Álvarez, et al.. (2025). More than a fingerprint on a pebble: A pigment-marked object from San Lázaro rock-shelter in the context of Neanderthal symbolic behavior. Archaeological and Anthropological Sciences. 17(6). 2 indexed citations
2.
Llorca, David Fernández, Ronan Hamon, H. Junklewitz, et al.. (2025). Testing autonomous vehicles and AI: perspectives and challenges from cybersecurity, transparency, robustness and fairness. European Transport Research Review. 17(1). 2 indexed citations
3.
Hupont, Isabelle, David Fernández Llorca, Sandra Baldassarri, & Emília Gómez. (2024). Use case cards: a use case reporting framework inspired by the European AI Act. Ethics and Information Technology. 26(2). 5 indexed citations
4.
Llorca, David Fernández, et al.. (2024). Attribute annotation and bias evaluation in visual datasets for autonomous driving. Journal Of Big Data. 11(1). 1 indexed citations
5.
Panigutti, Cecilia, Ronan Hamon, Isabelle Hupont, et al.. (2023). The role of explainable AI in the context of the AI Act. 1139–1150. 48 indexed citations
6.
Gómez, Emília, et al.. (2023). Assessing the Impact of Music Recommendation Diversity on Listeners: A Longitudinal Study. IRIS Research product catalog (Sapienza University of Rome). 2(1). 1–47. 6 indexed citations
7.
Hupont, Isabelle, et al.. (2021). How diverse is the ACII community? Analysing gender, geographical and business diversity of Affective Computing research. IRIS Research product catalog (Sapienza University of Rome). 2 indexed citations
8.
Cano, Estefanía, et al.. (2021). Language-Sensitive Music Emotion Recognition Models: are We Really There Yet?. 576–580. 1 indexed citations
9.
Gómez, Emília, et al.. (2020). Exploring Artist Gender Bias in Music Recommendation.. Repositori digital de la UPF (Universitat Pompeu Fabra). 3 indexed citations
10.
Miron, Marius, Songül Tolan, Emília Gómez, & Carlos Castillo. (2020). Evaluating causes of algorithmic bias in juvenile criminal recidivism. Artificial Intelligence and Law. 29(2). 111–147. 26 indexed citations
11.
Sturm, Bob L., María Teresa Iglesias, Oded Ben‐Tal, Marius Miron, & Emília Gómez. (2019). Artificial Intelligence and Music: Open Questions of Copyright Law and Engineering Praxis. SHILAP Revista de lepidopterología. 8(3). 115–115. 48 indexed citations
12.
Gómez, Emília, et al.. (2019). Fairness, Accountability and Transparency in Music Information Research (FAT-MIR). Figshare. 1 indexed citations
13.
Miron, Marius, et al.. (2016). Score-Informed Source Separation for Multichannel Orchestral Recordings. Journal of Electrical and Computer Engineering. 2016. 1–19. 23 indexed citations
14.
Janer, Jordi, et al.. (2016). Immersive Orchestras: Audio Processing for Orchestral Music VR Content. Repositori digital de la UPF (Universitat Pompeu Fabra). 1–2. 7 indexed citations
15.
Zapata, José R. & Emília Gómez. (2012). Improving Beat Tracking in the presence of highly predominant vocals using source separation techniques: Preliminary study. 3 indexed citations
16.
Gómez, Emília & Jordi Bonada. (2008). Automatic Melodic Transcription of Flamenco Singing. Complementary Therapies in Medicine. 14(1). 81–6. 4 indexed citations
17.
Gómez, Emília & Jordi Bonada. (2005). Tonality visualization of polyphonic audio. International Computer Music Conference. 2005(1). 52–58. 17 indexed citations
18.
Gómez, Emília & Esteban Maestre. (2005). Automatic Characterization of Dynamics and Articulation of Expressive Monophone Recordings. Journal of the Audio Engineering Society. 7 indexed citations
19.
Gómez, Emília, Fabien Gouyon, Perfecto Herrera, & Xavier Amatriain. (2003). Using and enhancing the current MPEG-7 standard for a music content processing tool. Journal of the Audio Engineering Society. 3 indexed citations
20.
Cano, Pedro, et al.. (2002). Audio Fingerprinting: Concepts and Application.. 389–393. 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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