Vincenzo Sciacca

69 papers receiving 997 citations

Peers

Vincenzo Sciacca
Comparison fields: 5 of 95
  • Otorhinolaryngology 119
  • Sensory Systems 136
  • Anesthesiology and Pain Medicine 118
  • Neurology 105
  • Statistical and Nonlinear Physics 112
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Lucio Torelli Italy
J. Hulshof Netherlands
Mats Holmström Sweden
Johnny T. Ottesen Denmark
W. A. Seed United Kingdom
Takaaki Murata Japan
John P. Boineau United States
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Citations per year

Countries citing papers authored by Vincenzo Sciacca

Since Specialization
Citations

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

Fields of papers citing papers by Vincenzo Sciacca

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Vincenzo Sciacca, 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 Vincenzo Sciacca Line = papers co-authored together Vincenzo Sciacca links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 74 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201384
2 201167
3 199165
4 199158
5 201056
6 201052
7 200949
8 201037
9 200937
10 200030
11 201427
12 199327
13 200527
14
On deformation of Poisson manifolds of hydrodynamic type
201222
15 198921
16 200021
17 199420
18 201019
19 199919
20 199918

About Vincenzo Sciacca

Vincenzo Sciacca is a scholar working on Surgery, Pulmonary and Respiratory Medicine, Computational Mechanics, Anesthesiology and Pain Medicine and Statistical and Nonlinear Physics, having authored 74 papers that have together received 1.1k indexed citations. Recurring topics across this work include Fluid Dynamics and Turbulent Flows (13 papers), Pain Management and Treatment (12 papers), Peripheral Artery Disease Management (12 papers), Musculoskeletal pain and rehabilitation (8 papers), Nonlinear Waves and Solitons (6 papers), Transcranial Magnetic Stimulation Studies (6 papers), Vascular Procedures and Complications (5 papers) and Advanced Mathematical Physics Problems (5 papers). The work is most often cited by research in Otorhinolaryngology (119 citations), Sensory Systems (136 citations), Anesthesiology and Pain Medicine (118 citations), Neurology (105 citations) and Statistical and Nonlinear Physics (112 citations). Vincenzo Sciacca has collaborated with scholars based in Italy, United States and Greece. Frequent co-authors include M. Sammartino, Enrico Martines, Francesco Martines, Daniela Bentivegna, Ioannis Petrakis, Francesco Gargano, Luca di Marzo, Antonino Cavallaro, Maria Carmela Lombardo and Andrea Mingoli. Their work appears in journals such as European Archives of Oto-Rhino-Laryngology, Journal of Fluid Mechanics, International Journal of Pediatric Otorhinolaryngology, Neuromodulation Technology at the Neural Interface and Digestive Diseases and Sciences.

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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