Giampiero Salvi

1.2k total citations
82 papers, 706 citations indexed

About

Giampiero Salvi is a scholar working on Artificial Intelligence, Signal Processing and Computer Vision and Pattern Recognition. According to data from OpenAlex, Giampiero Salvi has authored 82 papers receiving a total of 706 indexed citations (citations by other indexed papers that have themselves been cited), including 47 papers in Artificial Intelligence, 39 papers in Signal Processing and 18 papers in Computer Vision and Pattern Recognition. Recurrent topics in Giampiero Salvi's work include Speech and Audio Processing (34 papers), Speech Recognition and Synthesis (30 papers) and Music and Audio Processing (17 papers). Giampiero Salvi is often cited by papers focused on Speech and Audio Processing (34 papers), Speech Recognition and Synthesis (30 papers) and Music and Audio Processing (17 papers). Giampiero Salvi collaborates with scholars based in Sweden, Norway and Italy. Giampiero Salvi's co-authors include Jonas Beskow, Catharine Oertel, Alexandre Bernardino, Sabato Marco Siniscalchi, Giovanni Berlucchi, P. Strata, G. Moruzzi, Kalin Stefanov, José Santos-Victor and Luis Montesano and has published in prestigious journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence, Scientific Reports and The Journal of the Acoustical Society of America.

In The Last Decade

Giampiero Salvi

71 papers receiving 633 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Giampiero Salvi Sweden 15 327 208 139 132 93 82 706
Francesco Cutugno Italy 14 210 0.6× 98 0.5× 71 0.5× 147 1.1× 101 1.1× 75 588
Pierre Badin France 19 462 1.4× 492 2.4× 163 1.2× 574 4.3× 100 1.1× 87 1.1k
Jouni Pohjalainen Finland 16 615 1.9× 597 2.9× 165 1.2× 156 1.2× 83 0.9× 44 998
Okko Räsänen Finland 21 606 1.9× 351 1.7× 122 0.9× 306 2.3× 242 2.6× 101 1.4k
Ji‐Hwan Kim South Korea 13 295 0.9× 185 0.9× 130 0.9× 80 0.6× 81 0.9× 68 666
Hironori Takemoto Japan 17 357 1.1× 378 1.8× 89 0.6× 393 3.0× 157 1.7× 55 933
Ziping Zhao China 22 422 1.3× 353 1.7× 150 1.1× 683 5.2× 285 3.1× 64 1.2k
Tobias Bocklet Germany 19 653 2.0× 462 2.2× 142 1.0× 298 2.3× 82 0.9× 78 1.2k
Carlos A. Reyes-García Mexico 17 320 1.0× 323 1.6× 40 0.3× 71 0.5× 258 2.8× 52 885
Eric H. C. Choi Australia 11 243 0.7× 144 0.7× 60 0.4× 209 1.6× 182 2.0× 37 656

Countries citing papers authored by Giampiero Salvi

Since Specialization
Citations

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

Fields of papers citing papers by Giampiero Salvi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Giampiero Salvi

This figure shows the co-authorship network connecting the top 25 collaborators of Giampiero Salvi. A scholar is included among the top collaborators of Giampiero Salvi 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 Giampiero Salvi. Giampiero Salvi 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.
Svendsen, Torbjørn, et al.. (2024). Exploiting Foundation Models and Speech Enhancement for Parkinson's Disease Detection from Speech in Real-World Operative Conditions. Nova Science Publishers (Nova Science Publishers, Inc.). 1405–1409. 8 indexed citations
2.
Červa, Petr, et al.. (2024). A lightweight approach to real-time speaker diarization: from audio toward audio-visual data streams. EURASIP Journal on Audio Speech and Music Processing. 2024(1). 3 indexed citations
3.
Rouat, Jean, et al.. (2022). NAAQA: A Neural Architecture for Acoustic Question Answering. IEEE Transactions on Pattern Analysis and Machine Intelligence. 45(4). 1–12. 3 indexed citations
4.
Grósz, Tamás, et al.. (2022). wav2vec2-based Speech Rating System for Children with Speech Sound Disorder. Interspeech 2022. 3618–3622. 13 indexed citations
5.
Lopes, José, Giampiero Salvi, Gabriel Skantze, et al.. (2015). Detecting repetitions in spoken dialogue systems using phonetic distances. 1805–1809. 8 indexed citations
6.
Salvi, Giampiero, et al.. (2014). A dataset of human manipulation actions. International Conference on Robotics and Automation. 2 indexed citations
7.
Salvi, Giampiero, et al.. (2014). The WaveSurfer Automatic Speech Recognition Plugin. Language Resources and Evaluation. 3067–3071. 1 indexed citations
8.
Salvi, Giampiero, et al.. (2014). Free Acoustic and Language Models for Large Vocabulary Continuous Speech Recognition in Swedish. Language Resources and Evaluation. 388–392. 3 indexed citations
9.
Salvi, Giampiero, et al.. (2014). Audio-visual classification and detection of human manipulation actions. KTH Publication Database DiVA (KTH Royal Institute of Technology). 3045–3052. 34 indexed citations
10.
Salvi, Giampiero, et al.. (2014). Pattern discovery in continuous speech using Block Diagonal Infinite HMM. 3719–3723. 5 indexed citations
11.
Salvi, Giampiero, et al.. (2013). On mispronunciation analysis of individual foreign speakers using auditory periphery models. Speech Communication. 55(5). 691–706. 2 indexed citations
12.
Salvi, Giampiero, Luis Montesano, Alexandre Bernardino, & José Santos-Victor. (2011). Language Bootstrapping: Learning Word Meanings From Perception–Action Association. IEEE Transactions on Systems Man and Cybernetics Part B (Cybernetics). 42(3). 660–671. 26 indexed citations
13.
Salvi, Giampiero, et al.. (2008). Associating word descriptions to learned manipulation task models. 1 indexed citations
14.
Moubayed, Samer Al, Jonas Beskow, & Giampiero Salvi. (2008). SynFace Phone Recognizer for Swedish Wideband and Narrowband Speech. 3–6.
15.
Salvi, Giampiero. (2003). Truncation error and dynamics in very low latency phonetic recognition. 14. 9 indexed citations
16.
Lindberg, Børge, et al.. (2000). The cost 249 speechdat multilingual reference recogniser. Language Resources and Evaluation. 21 indexed citations
17.
Lindberg, Børge, et al.. (2000). A noise robust multilingual reference recogniser based on SPEECHDAT(II). vol. 3, 370–373. 36 indexed citations
18.
Mencucci, Rita, et al.. (1997). Ophthalmological Aspects in Allogenic Bone Marrow Transplantation: Sjögren-Like Syndrome in Graft-Versus-Host Disease. European Journal of Ophthalmology. 7(1). 13–18. 60 indexed citations
19.
Calabri, Giovanni Battista, et al.. (1996). [Nonconventional therapy in a case of systemic juvenile rheumatoid arthritis].. PubMed. 18(3). 319–20. 1 indexed citations
20.
Salvi, Fabrizio, Giampiero Salvi, Roberto Volpe, et al.. (1993). Transthyretin-Related TTR Hereditary Amyloidosis of the Vitreous Body: Clinical and Molecular Characterization in two Italian Families. Ophthalmic Paediatrics and Genetics. 14(1). 9–16. 5 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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