Mirco Ravanelli

1.7k total citations
31 papers, 390 citations indexed

About

Mirco Ravanelli is a scholar working on Artificial Intelligence, Signal Processing and Computer Vision and Pattern Recognition. According to data from OpenAlex, Mirco Ravanelli has authored 31 papers receiving a total of 390 indexed citations (citations by other indexed papers that have themselves been cited), including 23 papers in Artificial Intelligence, 22 papers in Signal Processing and 3 papers in Computer Vision and Pattern Recognition. Recurrent topics in Mirco Ravanelli's work include Speech Recognition and Synthesis (21 papers), Speech and Audio Processing (20 papers) and Music and Audio Processing (20 papers). Mirco Ravanelli is often cited by papers focused on Speech Recognition and Synthesis (21 papers), Speech and Audio Processing (20 papers) and Music and Audio Processing (20 papers). Mirco Ravanelli collaborates with scholars based in Canada, Italy and United States. Mirco Ravanelli's co-authors include Maurizio Omologo, Szu‐Wei Fu, Cheng Yu, Yu Tsao, Xugang Lu, Peter Plantinga, Hwidong Na, François Grondin, Piergiorgio Svaizer and Brecht Desplanques and has published in prestigious journals such as Neural Networks, Computers in Biology and Medicine and Language Resources and Evaluation.

In The Last Decade

Mirco Ravanelli

29 papers receiving 371 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Mirco Ravanelli Canada 11 303 251 48 45 36 31 390
Cheng Yu Taiwan 6 333 1.1× 232 0.9× 77 1.6× 49 1.1× 34 0.9× 12 372
Juan M. Martín-Doñas Spain 7 232 0.8× 160 0.6× 51 1.1× 58 1.3× 47 1.3× 20 306
Zhaoheng Ni United States 11 177 0.6× 165 0.7× 40 0.8× 52 1.2× 28 0.8× 26 290
Niko Moritz Germany 16 371 1.2× 307 1.2× 28 0.6× 56 1.2× 53 1.5× 31 454
Naoyuki Kamo Japan 10 257 0.8× 255 1.0× 48 1.0× 24 0.5× 16 0.4× 19 341
Rongzhi Gu China 12 333 1.1× 244 1.0× 84 1.8× 35 0.8× 29 0.8× 34 383
Aswin Shanmugam Subramanian United States 11 291 1.0× 264 1.1× 42 0.9× 15 0.3× 17 0.5× 23 355
Daiki Takeuchi Japan 10 223 0.7× 136 0.5× 53 1.1× 27 0.6× 39 1.1× 29 306
Vishak Gopal United States 5 229 0.8× 240 1.0× 58 1.2× 33 0.7× 34 0.9× 11 351

Countries citing papers authored by Mirco Ravanelli

Since Specialization
Citations

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

Fields of papers citing papers by Mirco Ravanelli

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Mirco Ravanelli

This figure shows the co-authorship network connecting the top 25 collaborators of Mirco Ravanelli. A scholar is included among the top collaborators of Mirco Ravanelli 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 Mirco Ravanelli. Mirco Ravanelli 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.
Parcollet, Titouan, et al.. (2024). Speech self-supervised representations benchmarking: A case for larger probing heads. Computer Speech & Language. 89. 101695–101695. 1 indexed citations
2.
Brugiapaglia, Simone, et al.. (2024). Generalization limits of Graph Neural Networks in identity effects learning. Neural Networks. 181. 106793–106793. 1 indexed citations
3.
Borra, Davide, Elisa Magosso, & Mirco Ravanelli. (2024). A protocol for trustworthy EEG decoding with neural networks. Neural Networks. 182. 106847–106847. 1 indexed citations
4.
Subakan, Cem, et al.. (2024). How Should We Extract Discrete Audio Tokens from Self-Supervised Models?. 2554–2558. 1 indexed citations
5.
Borra, Davide, et al.. (2024). SpeechBrain-MOABB: An open-source Python library for benchmarking deep neural networks applied to EEG signals. Computers in Biology and Medicine. 182. 109097–109097. 2 indexed citations
6.
Falavigna, Daniele, et al.. (2024). Parameter-Efficient Transfer Learning of Audio Spectrogram Transformers. 1–6. 1 indexed citations
7.
Subakan, Cem, et al.. (2024). Focal Modulation Networks for Interpretable Sound Classification. 853–857.
8.
Ravanelli, Mirco, et al.. (2024). Skill: Similarity-Aware Knowledge Distillation for Speech Self-Supervised Learning. 675–679. 1 indexed citations
9.
Parcollet, Titouan, et al.. (2023). Speech Self-Supervised Representation Benchmarking: Are We Doing it Right?. SPIRE - Sciences Po Institutional REpository. 2873–2877. 10 indexed citations
10.
Fu, Szu‐Wei, Cheng Yu, Kuo-Hsuan Hung, Mirco Ravanelli, & Yu Tsao. (2022). MetricGAN-U: Unsupervised Speech Enhancement/ Dereverberation Based Only on Noisy/ Reverberated Speech. ICASSP 2022 - 2022 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP). 7412–7416. 28 indexed citations
11.
Yu, Cheng, et al.. (2022). OSSEM: one-shot speaker adaptive speech enhancement using meta learning. Interspeech 2022. 981–985. 2 indexed citations
12.
Ravanelli, Mirco, et al.. (2021). Interpretable SincNet-based Deep Learning for Emotion Recognition from EEG brain activity. 2021 43rd Annual International Conference of the IEEE Engineering in Medicine & Biology Society (EMBC). 2021. 412–415. 18 indexed citations
13.
Dawalatabad, Nauman, Mirco Ravanelli, François Grondin, et al.. (2021). ECAPA-TDNN Embeddings for Speaker Diarization. arXiv (Cornell University). 3560–3564. 46 indexed citations
14.
Fu, Szu‐Wei, Cheng Yu, Peter Plantinga, et al.. (2021). MetricGAN+: An Improved Version of MetricGAN for Speech Enhancement. 201–205. 118 indexed citations
15.
Ravanelli, Mirco, et al.. (2015). Insights into Audio-Based Multimedia Event Classification with Neural Networks. Institutional Research Information System (Università degli Studi di Trento). 19–23. 2 indexed citations
16.
Elizalde, Benjamin, Mirco Ravanelli, Karl Ni, Damian Borth, & Gerald Friedland. (2014). Audio-concept features and hidden Markov models for multimedia event detection.. Institutional Research Information System (Università degli Studi di Trento). 3–8. 2 indexed citations
17.
Cristoforetti, Luca, et al.. (2014). The DIRHA simulated corpus. Language Resources and Evaluation. 2629–2634. 44 indexed citations
18.
Ravanelli, Mirco, et al.. (2014). TANDEM-bottleneck feature combination using hierarchical Deep Neural Networks. 113–117. 2 indexed citations
19.
Elizalde, Benjamin, Mirco Ravanelli, & Gerald Friedland. (2013). Audio Concept Ranking for Video Event Detection on User-Generated Content. 9–14. 2 indexed citations
20.
Ravanelli, Mirco, et al.. (2012). Impulse response estimation for robust speech recognition in a reverberant environment. Institutional Research Information System (Università degli Studi di Trento). 1668–1672. 20 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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