Fabio Vesperini

716 total citations
15 papers, 444 citations indexed

About

Fabio Vesperini is a scholar working on Signal Processing, Artificial Intelligence and Civil and Structural Engineering. According to data from OpenAlex, Fabio Vesperini has authored 15 papers receiving a total of 444 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Signal Processing, 8 papers in Artificial Intelligence and 3 papers in Civil and Structural Engineering. Recurrent topics in Fabio Vesperini's work include Music and Audio Processing (11 papers), Speech and Audio Processing (8 papers) and Anomaly Detection Techniques and Applications (5 papers). Fabio Vesperini is often cited by papers focused on Music and Audio Processing (11 papers), Speech and Audio Processing (8 papers) and Anomaly Detection Techniques and Applications (5 papers). Fabio Vesperini collaborates with scholars based in Italy, Germany and United Kingdom. Fabio Vesperini's co-authors include Stefano Squartini, Erik Marchi, Björn W. Schuller, Emanuele Principi, Florian Eyben, Francesco Piazza, Leonardo Gabrielli, Felix Weninger, Valeria Bruschi and Andrea Galli and has published in prestigious journals such as IEEE Journal of Selected Topics in Signal Processing, Computer Speech & Language and Computational Intelligence and Neuroscience.

In The Last Decade

Fabio Vesperini

15 papers receiving 429 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Fabio Vesperini Italy	10	242	223	83	51	46	15	444
Weidong Zhou China	13	175 0.7×	154 0.7×	34 0.4×	29 0.6×	109 2.4×	66	461
Yoshiaki Bando Japan	16	523 2.2×	127 0.6×	65 0.8×	16 0.3×	46 1.0×	87	690
Dave Zachariah Sweden	16	158 0.7×	73 0.3×	87 1.0×	57 1.1×	49 1.1×	57	585
P. Vera‐Candeas Spain	16	457 1.9×	60 0.3×	199 2.4×	57 1.1×	35 0.8×	80	679
Changchun Bao China	13	657 2.7×	226 1.0×	155 1.9×	16 0.3×	32 0.7×	159	796
Mohammad Reza Taban Iran	13	96 0.4×	135 0.6×	44 0.5×	19 0.4×	38 0.8×	46	486
M. Turki-Hadj Alouane Tunisia	12	130 0.5×	74 0.3×	125 1.5×	28 0.5×	57 1.2×	47	409
Tetsuji Ogawa Japan	13	309 1.3×	352 1.6×	112 1.3×	8 0.2×	46 1.0×	98	581
Jun-Seok Lim South Korea	8	113 0.5×	90 0.4×	31 0.4×	35 0.7×	51 1.1×	54	342

Countries citing papers authored by Fabio Vesperini

Since Specialization

Citations

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

Fields of papers citing papers by Fabio Vesperini

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Fabio Vesperini

This figure shows the co-authorship network connecting the top 25 collaborators of Fabio Vesperini. A scholar is included among the top collaborators of Fabio Vesperini 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 Fabio Vesperini. Fabio Vesperini is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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15 of 15 papers shown

Vesperini, Fabio, Leonardo Gabrielli, Emanuele Principi, & Stefano Squartini. (2019). Polyphonic Sound Event Detection by Using Capsule Neural Networks. IEEE Journal of Selected Topics in Signal Processing. 13(2). 310–322. 37 indexed citations

Gabrielli, Leonardo, et al.. (2019). Processing Acoustic Data with Siamese Neural Networks for Enhanced Road Roughness Classification. Università Politecnica delle Marche (Università Politecnica delle Marche). 1–7. 10 indexed citations

Gabrielli, Leonardo, et al.. (2018). Deep Neural Networks for Road Surface Roughness Classification from Acoustic Signals. Journal of the Audio Engineering Society. 5 indexed citations

Gabrielli, Leonardo, et al.. (2018). Deep Learning for Timbre Modification and Transfer: An Evaluation Study. Journal of the Audio Engineering Society. 1 indexed citations

Vesperini, Fabio, et al.. (2018). Few-Shot Siamese Neural Networks Employing Audio Features for Human-Fall Detection. Università Politecnica delle Marche (Università Politecnica delle Marche). 63–69. 21 indexed citations

Vesperini, Fabio, et al.. (2018). Hierarchic Conv Nets Framework for Rare Sound Event Detection. Università Politecnica delle Marche (Università Politecnica delle Marche). 1497–1501. 6 indexed citations

Vesperini, Fabio, Andrea Galli, Leonardo Gabrielli, Emanuele Principi, & Stefano Squartini. (2018). Snore Sounds Excitation Localization by Using Scattering Transform and Deep Neural Networks. Università Politecnica delle Marche (Università Politecnica delle Marche). 1–8. 9 indexed citations

Principi, Emanuele, Fabio Vesperini, Stefano Squartini, & Francesco Piazza. (2017). Acoustic novelty detection with adversarial autoencoders. Università Politecnica delle Marche (Università Politecnica delle Marche). 3324–3330. 29 indexed citations

Marchi, Erik, Fabio Vesperini, Stefano Squartini, & Björn W. Schuller. (2017). Deep Recurrent Neural Network-Based Autoencoders for Acoustic Novelty Detection. Computational Intelligence and Neuroscience. 2017. 1–14. 50 indexed citations

10.

Vesperini, Fabio, et al.. (2017). Localizing speakers in multiple rooms by using Deep Neural Networks. Computer Speech & Language. 49. 83–106. 29 indexed citations

11.

Vesperini, Fabio, et al.. (2017). A neural network approach for sound event detection in real life audio. Università Politecnica delle Marche (Università Politecnica delle Marche). 2754–2758. 5 indexed citations

12.

Vesperini, Fabio, et al.. (2016). Deep neural networks for Multi-Room Voice Activity Detection: Advancements and comparative evaluation. Università Politecnica delle Marche (Università Politecnica delle Marche). 3391–3398. 17 indexed citations

13.

Vesperini, Fabio, et al.. (2016). A neural network based algorithm for speaker localization in a multi-room environment. Università Politecnica delle Marche (Università Politecnica delle Marche). 1–6. 54 indexed citations

14.

Marchi, Erik, Fabio Vesperini, Felix Weninger, et al.. (2015). Non-linear prediction with LSTM recurrent neural networks for acoustic novelty detection. OPUS (Augsburg University). 1–7. 38 indexed citations

15.

Marchi, Erik, Fabio Vesperini, Florian Eyben, Stefano Squartini, & Björn W. Schuller. (2015). A novel approach for automatic acoustic novelty detection using a denoising autoencoder with bidirectional LSTM neural networks. OPUS (Augsburg University). 1996–2000. 133 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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