Emmanouil Benetos

4.7k total citations · 1 hit paper
138 papers, 2.4k citations indexed

About

Emmanouil Benetos is a scholar working on Signal Processing, Computer Vision and Pattern Recognition and Artificial Intelligence. According to data from OpenAlex, Emmanouil Benetos has authored 138 papers receiving a total of 2.4k indexed citations (citations by other indexed papers that have themselves been cited), including 133 papers in Signal Processing, 94 papers in Computer Vision and Pattern Recognition and 28 papers in Artificial Intelligence. Recurrent topics in Emmanouil Benetos's work include Music and Audio Processing (130 papers), Speech and Audio Processing (88 papers) and Music Technology and Sound Studies (86 papers). Emmanouil Benetos is often cited by papers focused on Music and Audio Processing (130 papers), Speech and Audio Processing (88 papers) and Music Technology and Sound Studies (86 papers). Emmanouil Benetos collaborates with scholars based in United Kingdom, Greece and United States. Emmanouil Benetos's co-authors include Simon Dixon, Dimitrios Giannoulis, Mathieu Lagrange, Mark D. Plumbley, Dan Stowell, Constantine Kotropoulos, Siddharth Sigtia, Anssi Klapuri, Holger Kirchhoff and Margarita Kotti and has published in prestigious journals such as SHILAP Revista de lepidopterología, PLoS ONE and The Journal of the Acoustical Society of America.

In The Last Decade

Emmanouil Benetos

130 papers receiving 2.3k citations

Hit Papers

Detection and Classificat... 2015 2026 2018 2022 2015 100 200 300

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Emmanouil Benetos United Kingdom 23 2.1k 1.3k 522 271 192 138 2.4k
Annamaria Mesaros Finland 26 2.2k 1.1× 934 0.7× 758 1.5× 142 0.5× 58 0.3× 68 2.6k
Toni Heittola Finland 23 2.4k 1.2× 1.1k 0.9× 758 1.5× 188 0.7× 58 0.3× 48 2.8k
Justin Salamon United States 28 3.2k 1.5× 1.7k 1.3× 667 1.3× 537 2.0× 185 1.0× 75 3.7k
Oriol Nieto United States 15 1.8k 0.9× 893 0.7× 616 1.2× 332 1.2× 147 0.8× 34 2.3k
Patrick Cook United States 6 1.7k 0.8× 1.3k 1.0× 268 0.5× 355 1.3× 107 0.6× 10 2.0k
Qiuqiang Kong United Kingdom 22 1.4k 0.7× 709 0.5× 615 1.2× 120 0.4× 72 0.4× 62 1.8k
Brian McFee United States 23 2.3k 1.1× 1.6k 1.2× 987 1.9× 387 1.4× 149 0.8× 57 3.3k
Marvin Ritter United States 5 1.3k 0.6× 849 0.7× 630 1.2× 158 0.6× 43 0.2× 7 1.9k
Jan Schlüter Austria 15 836 0.4× 551 0.4× 377 0.7× 147 0.5× 57 0.3× 34 1.3k
Anssi Klapuri Finland 35 3.9k 1.9× 2.8k 2.1× 513 1.0× 674 2.5× 149 0.8× 85 4.2k

Countries citing papers authored by Emmanouil Benetos

Since Specialization
Citations

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

Fields of papers citing papers by Emmanouil Benetos

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Emmanouil Benetos

This figure shows the co-authorship network connecting the top 25 collaborators of Emmanouil Benetos. A scholar is included among the top collaborators of Emmanouil Benetos 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 Emmanouil Benetos. Emmanouil Benetos 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.
Liang, Jinhua, et al.. (2025). Acoustic Prompt Tuning: Empowering Large Language Models With Audition Capabilities. IEEE Transactions on Audio Speech and Language Processing. 33. 949–961. 2 indexed citations
3.
Benetos, Emmanouil, et al.. (2024). ATGNN: Audio Tagging Graph Neural Network. IEEE Signal Processing Letters. 31. 825–829. 5 indexed citations
4.
Dixon, Simon, et al.. (2024). A Data-Driven Analysis of Robust Automatic Piano Transcription. IEEE Signal Processing Letters. 31. 681–685. 2 indexed citations
5.
Benetos, Emmanouil, et al.. (2023). Perceptual Musical Similarity Metric Learning with Graph Neural Networks. 30. 1–5.
6.
Dixon, Simon, et al.. (2023). PiJAMA: Piano Jazz with Automatic MIDI Annotations. SHILAP Revista de lepidopterología. 6(1). 89–102. 5 indexed citations
7.
Benetos, Emmanouil, et al.. (2022). Adaptive Scattering Transforms for Playing Technique Recognition. IEEE/ACM Transactions on Audio Speech and Language Processing. 30. 1407–1421. 8 indexed citations
8.
Terenzi, Alessandro, et al.. (2021). Comparison of Feature Extraction Methods for Sound-Based Classification of Honey Bee Activity. IEEE/ACM Transactions on Audio Speech and Language Processing. 30. 112–122. 34 indexed citations
9.
Benetos, Emmanouil, Simon Dixon, Zhiyao Duan, & Sebastian Ewert. (2018). Automatic Music Transcription: An Overview. IEEE Signal Processing Magazine. 36(1). 20–30. 129 indexed citations
10.
Panteli, Maria, Emmanouil Benetos, & Simon Dixon. (2018). A review of manual and computational approaches for the study of world music corpora. Journal of New Music Research. 47(2). 176–189. 13 indexed citations
11.
Holzapfel, André & Emmanouil Benetos. (2016). The Sousta Corpus: Beat-Informed Automatic Transcription Of Traditional Dance Tunes.. Zenodo (CERN European Organization for Nuclear Research). 531–537. 3 indexed citations
12.
Benetos, Emmanouil, Sebastian Ewert, & Tillman Weyde. (2014). Automatic transcription of pitched and unpitched sounds from polyphonic music. City Research Online (City University London). 3107–3111. 10 indexed citations
13.
Benetos, Emmanouil & Simon Dixon. (2010). Multiple-F0 estimation of piano sounds exploiting spectral structure and temporal evolution. City Research Online (City University London). 13–18. 4 indexed citations
14.
Benetos, Emmanouil, et al.. (2010). Improving Music Genre Classification Using Automatically Induced Harmony Rules. Journal of New Music Research. 39(4). 349–361. 21 indexed citations
15.
Benetos, Emmanouil & Simon Dixon. (2010). MULTIPLE FUNDAMENTAL FREQUENCY ESTIMATION USING SPECTRAL STRUCTURE AND TEMPORAL EVOLUTION RULES. 1 indexed citations
16.
Benetos, Emmanouil, Margarita Kotti, Constantine Kotropoulos, et al.. (2008). MUSCLE movie-database: a multimodal corpus with rich annotation for dialogue and saliency detection. Language Resources and Evaluation. 3 indexed citations
17.
Benetos, Emmanouil, Margarita Kotti, & Constantine Kotropoulos. (2007). Large Scale Musical Instrument Identification. City Research Online (City University London). 16 indexed citations
18.
Kotti, Margarita, Emmanouil Benetos, Constantine Kotropoulos, & Ioannis Pitas. (2007). A neural network approach to audio-assisted movie dialogue detection. Neurocomputing. 71(1-3). 157–166. 15 indexed citations
19.
Benetos, Emmanouil, Margarita Kotti, & Constantine Kotropoulos. (2006). Applying Supervised Classifiers Based on Non-negative Matrix Factorization to Musical Instrument Classification. City Research Online (City University London). 2105–2108. 5 indexed citations
20.
Benetos, Emmanouil, Margarita Kotti, & Constantine Kotropoulos. (2006). Musical Instrument Classification using Non-Negative Matrix Factorization Algorithms and Subset Feature Selection. Spiral (Imperial College London). 5. V–221. 28 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.

Explore authors with similar magnitude of impact

Rankless by CCL
2026