Sergio Cavaliere

3.1k citations
51 papers · 1.6k · h-index 15

Impact in

Papers in

Sergio Cavaliere

49 papers receiving 1.5k citations

Peers

Sergio Cavaliere
Comparison fields: 5 of 88
  • Anesthesiology and Pain Medicine 415
  • Pulmonary and Respiratory Medicine 1.2k
  • Genetics 140
  • Surgery 433
  • Signal Processing 107
Replace David Vining with:
David Vining United States
Peter V. Moulder United States
Diane Crawford United Kingdom
E Breatnach Ireland
Jörg Albert Germany
Eva M. van Rikxoort Netherlands
Franç̧oise Prêteux France
Helmut Ringl Austria
Kazuto Ashizawa Japan
Luca Fasano Italy
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Citations per field
00.5×10×15×21.4×
David Vining · 1×
Citations per year

Countries citing papers authored by Sergio Cavaliere

Since Specialization
Citations

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

Fields of papers citing papers by Sergio Cavaliere

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Sergio Cavaliere, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Sergio Cavaliere Line = papers co-authored together Sergio Cavaliere links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 51 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2002356
2 1996287
3 1984173
4 1988167
5 1996144
6 199465
7 200360
8 200350
9 200244
10 199844
11 201636
12 201427
13 199827
14 200016
15 199715
16 199911
17 199710
18 20018
19 20048
20 20038

About Sergio Cavaliere

Sergio Cavaliere is a scholar working on Pulmonary and Respiratory Medicine, Signal Processing, Computer Vision and Pattern Recognition, Surgery and Anesthesiology and Pain Medicine, having authored 51 papers that have together received 1.6k indexed citations. Recurring topics across this work include Tracheal and airway disorders (19 papers), Image and Signal Denoising Methods (9 papers), Airway Management and Intubation Techniques (8 papers), Speech and Audio Processing (7 papers), Music and Audio Processing (5 papers), Lung Cancer Diagnosis and Treatment (4 papers), Digital Filter Design and Implementation (4 papers) and Head and Neck Anomalies (4 papers). The work is most often cited by research in Anesthesiology and Pain Medicine (415 citations), Pulmonary and Respiratory Medicine (1.2k citations), Genetics (140 citations), Surgery (433 citations) and Signal Processing (107 citations). Sergio Cavaliere has collaborated with scholars based in Italy, United States and France. Frequent co-authors include Pierfranco Foccoli, Federico Venuta, Carlo Toninelli, Gianpaolo Evangelista, Beniamino La Face, J.F. Beamis, J F Dumon, Kevin L. Kovitz, José Pablo Díaz-Jiménez and Henri G. Colt. Their work appears in journals such as CHEST Journal, European Journal of Anaesthesiology, IEEE Transactions on Nuclear Science, European Archives of Oto-Rhino-Laryngology 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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