Giovanni De Poli

97 papers receiving 1.1k citations

Peers

Giovanni De Poli
Comparison fields: 5 of 94
  • Computer Vision and Pattern Recognition 909
  • Signal Processing 860
  • Cognitive Neuroscience 634
  • Biomedical Engineering 140
  • Experimental and Cognitive Psychology 114
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Maarten van Walstijn United Kingdom
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Countries citing papers authored by Giovanni De Poli

Since Specialization
Citations

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

Fields of papers citing papers by Giovanni De Poli

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Giovanni De Poli. 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 Giovanni De Poli. The network helps show where Giovanni De Poli may publish in the future.

Co-authorship network of co-authors of Giovanni De Poli

This figure shows the co-authorship network connecting the top 25 collaborators of Giovanni De Poli. A scholar is included among the top collaborators of Giovanni De Poli 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 Giovanni De Poli. Giovanni De Poli 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
#WorkIndexed citations
1
Esperienze preliminari di fusione di metalli mediante MWaH, riscaldamento a microonde
1
2
A multi-layered Conceptual Framework for Expressive Gesture Applications
22
3
MEGASE: a Multisensory Expressive Gesture Applications System Environment for Artistic Performances
4
4
Real-Time Morphing Among Different Expressive Intentions in Audio Playback
2
5 23
6
Expressive Processing of Audio and MIDI Performances in Real Time
2
7
A Model To Add Expressiveness To Automatic Musical Performance
8
8
Analysis by synthesis of the expressive intentions in musical performance
12
9
Timbre Characterization with Mel-Cepstrum and Neural Nets
12
10
Instruction of Computer Music for Computer Engineering Students and Professionals
1
11
Self-organizing Neural Network and Grey's Timbre Space
4
12
Symbolic and Sub-Symbolic Rules Systems for Real-Time Score Performance
6
13 10
14
A Modular Approach to Excitator-Resonator Interaction in Physical Models Synthesis.
2
15
An efficient method of acoustical synthesis through phase distortion
1
16
Sound Synthesis by Fractional Waveshaping
5
17
Frequency Dependent Waveshaping.
1
18
La ricerca di informatica musicale in Italia
1
19
A Language for Automatic Execution of Musical Scores by Computers
1
20
Computer Music at University of Padova.
2

About Giovanni De Poli

Giovanni De Poli is a scholar working on Signal Processing, Computer Vision and Pattern Recognition and Cognitive Neuroscience, having authored 103 papers that have together received 1.3k indexed citations. Recurring topics across this work include Music Technology and Sound Studies (66 papers), Music and Audio Processing (62 papers) and Neuroscience and Music Perception (30 papers). The work is most often cited by research in Signal Processing (860 citations), Computer Vision and Pattern Recognition (909 citations) and Cognitive Neuroscience (634 citations). Giovanni De Poli has collaborated with scholars based in Italy, Australia and United States. Frequent co-authors include Sergio Canazza, Antonio Rodà, Curtis Roads, Davide Rocchesso, Antonio Camurri, Augusto Sarti, Marc Leman, Gualtiero Volpe, Paolo Prandoni and Marc Battier. Their work appears in journals such as Proceedings of the IEEE, Annals of the New York Academy of Sciences and IEEE Transactions on Signal Processing.

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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