Mirco Ravanelli

1.2k total citations · 2 hit papers
16 papers, 683 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 16 papers receiving a total of 683 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Artificial Intelligence, 9 papers in Signal Processing and 1 paper in Computer Vision and Pattern Recognition. Recurrent topics in Mirco Ravanelli's work include Speech Recognition and Synthesis (10 papers), Music and Audio Processing (9 papers) and Speech and Audio Processing (7 papers). Mirco Ravanelli is often cited by papers focused on Speech Recognition and Synthesis (10 papers), Music and Audio Processing (9 papers) and Speech and Audio Processing (7 papers). Mirco Ravanelli collaborates with scholars based in Canada, Italy and France. Mirco Ravanelli's co-authors include Cem Subakan, Samuele Cornell, Mirko Bronzi, Jianyuan Zhong, Maurizio Omologo, Yoshua Bengio, Philémon Brakel, François Grondin, Efthymios Tzinis and Paris Smaragdis and has published in prestigious journals such as IEEE Signal Processing Letters, IEEE Transactions on Automation Science and Engineering and IEEE/ACM Transactions on Audio Speech and Language Processing.

In The Last Decade

Mirco Ravanelli

15 papers receiving 648 citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Attention Is All You Need In Speech Separation

2021 345 citations Cem Subakan, Mirco Ravanelli et al. profile →
Light Gated Recurrent Units for Speech Recognition

2018 267 citations Mirco Ravanelli, Philémon Brakel et al. IEEE Transactions on Emerging Topics in Computational Intelligence profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Mirco Ravanelli Canada	7	412	384	85	81	48	16	683
Sang-Hoon Oh South Korea	11	254 0.6×	135 0.4×	83 1.0×	56 0.7×	49 1.0×	51	450
Vanessa Gómez-Verdejo Spain	14	239 0.6×	133 0.3×	122 1.4×	53 0.7×	109 2.3×	41	560
Linhao Dong China	10	716 1.7×	480 1.3×	139 1.6×	127 1.6×	13 0.3×	37	1.0k
Wen-Hoar Hsaio Taiwan	9	304 0.7×	120 0.3×	122 1.4×	44 0.5×	15 0.3×	10	544
Zoltán Tüske Germany	18	740 1.8×	524 1.4×	83 1.0×	22 0.3×	10 0.2×	47	871
Pavel Golik Germany	11	399 1.0×	296 0.8×	81 1.0×	25 0.3×	15 0.3×	19	545
Bing Yang China	11	168 0.4×	131 0.3×	231 2.7×	68 0.8×	27 0.6×	48	496
Carolina Parada United States	16	1.1k 2.8×	840 2.2×	217 2.6×	100 1.2×	19 0.4×	24	1.4k
Yatong Zhou China	15	214 0.5×	98 0.3×	145 1.7×	158 2.0×	59 1.2×	71	590

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

Sort: Min cites: Since: Top N: Style:

16 of 16 papers shown

1.

Ravanelli, Mirco, et al.. (2025). Bayesian Deep Learning for Remaining Useful Life Estimation via Stein Variational Gradient Descent. IEEE Transactions on Automation Science and Engineering. 23. 600–611. 1 indexed citations

2.

Ravanelli, Mirco, et al.. (2025). LMAC-TD: Producing Time Domain Explanations for Audio Classifiers. Archivio istituzionale della ricerca (Alma Mater Studiorum Università di Bologna). 1–5. 1 indexed citations

3.

Torroni, Paolo, et al.. (2025). Investigating the Effectiveness of Explainability Methods in Parkinson’s Detection from Speech. Archivio istituzionale della ricerca (Alma Mater Studiorum Università di Bologna). 1–5.

4.

Bethge, Matthias, et al.. (2024). Adaptation Odyssey in LLMs: Why Does Additional Pretraining Sometimes Fail to Improve?. 19834–19843. 1 indexed citations

5.

Subakan, Cem, et al.. (2024). CL-MASR: A Continual Learning Benchmark for Multilingual ASR. IEEE/ACM Transactions on Audio Speech and Language Processing. 32. 4931–4944. 2 indexed citations

6.

Subakan, Cem, et al.. (2024). Resource-Efficient Separation Transformer. 761–765. 4 indexed citations

7.

Gupta, Shubham, et al.. (2024). Phoneme Discretized Saliency Maps for Explainable Detection of AI-Generated Voice. 3295–3299. 1 indexed citations

8.

Ravanelli, Mirco, et al.. (2023). Simulated Annealing in Early Layers Leads to Better Generalization. 20205–20214. 5 indexed citations

9.

Ravanelli, Mirco, et al.. (2023). Speech Emotion Diarization: Which Emotion Appears When?. 1–7. 7 indexed citations

10.

Subakan, Cem, Mirco Ravanelli, Samuele Cornell, François Grondin, & Mirko Bronzi. (2023). Exploring Self-Attention Mechanisms for Speech Separation. IEEE/ACM Transactions on Audio Speech and Language Processing. 31. 2169–2180. 18 indexed citations

11.

Parcollet, Titouan, et al.. (2023). Fine-Tuning Strategies for Faster Inference Using Speech Self-Supervised Models: A Comparative Study. 1–5. 7 indexed citations

12.

Subakan, Cem, Mirco Ravanelli, Samuele Cornell, & François Grondin. (2022). Real-M: Towards Speech Separation on Real Mixtures. ICASSP 2022 - 2022 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP). 6862–6866. 11 indexed citations

13.

Subakan, Cem, et al.. (2022). Learning Representations for New Sound Classes With Continual Self-Supervised Learning. IEEE Signal Processing Letters. 29. 2607–2611. 12 indexed citations

14.

Subakan, Cem, Mirco Ravanelli, Samuele Cornell, Mirko Bronzi, & Jianyuan Zhong. (2021). Attention Is All You Need In Speech Separation. 21–25. 345 indexed citations breakdown →

15.

Trabelsi, Chiheb, Olexa Bilaniuk, Ousmane Dia, et al.. (2019). Retrieving Signals with Deep Complex Extractors. 1 indexed citations

16.

Ravanelli, Mirco, Philémon Brakel, Maurizio Omologo, & Yoshua Bengio. (2018). Light Gated Recurrent Units for Speech Recognition. IEEE Transactions on Emerging Topics in Computational Intelligence. 2(2). 92–102. 267 indexed citations breakdown →

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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