Bruno Scarpa

1.7k citations
89 papers · 1.1k · h-index 20

Impact in

Papers in

Bruno Scarpa

82 papers receiving 1.1k citations

Peers

Bruno Scarpa
Comparison fields: 5 of 140
  • Sensory Systems 167
  • Otorhinolaryngology 130
  • Immunology and Allergy 83
  • Statistics and Probability 110
  • Reproductive Medicine 73
Replace Xi Luo with:
Xi Luo China
Matthew G. Crowson United States
Rakhee K. Ramakrishnan United Arab Emirates
John R. Shaffer United States
Thompson United Kingdom
Elisabeth Waldmann Germany
Ahmed N. Albatineh Kuwait
Lan Lan China
Yogesan Kanagasingam Australia
Kevin J. Keen Canada
Bruno Scarpa relative to Xi Luo China Xi Luo's profile →
Citations per field
00.5×10×16.7×
Xi Luo · 1×
Citations per year

Countries citing papers authored by Bruno Scarpa

Since Specialization
Citations

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

Fields of papers citing papers by Bruno Scarpa

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 89 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201988
2 201261
3 200542
4 202141
5 202239
6 201334
7
Data Analysis and Data Mining: An Introduction
201234
8 201133
9 201633
10 202031
11 202031
12 200630
13 201830
14 201528
15 201927
16 202122
17 200920
18 201420
19 201820
20 201920

About Bruno Scarpa

Bruno Scarpa is a scholar working on Artificial Intelligence, Statistics and Probability, Sensory Systems, Surgery and Otorhinolaryngology, having authored 89 papers that have together received 1.1k indexed citations. Recurring topics across this work include Olfactory and Sensory Function Studies (14 papers), Sinusitis and nasal conditions (12 papers), Nasal Surgery and Airway Studies (12 papers), Allergic Rhinitis and Sensitization (11 papers), Bayesian Methods and Mixture Models (10 papers), Statistical Methods and Bayesian Inference (8 papers), Statistical Methods and Inference (6 papers) and Statistical Distribution Estimation and Applications (5 papers). The work is most often cited by research in Sensory Systems (167 citations), Otorhinolaryngology (130 citations), Immunology and Allergy (83 citations), Statistics and Probability (110 citations) and Reproductive Medicine (73 citations). Bruno Scarpa has collaborated with scholars based in Italy, United Kingdom and United States. Frequent co-authors include Giancarlo Ottaviano, David B. Dunson, Alfonso Luca Pendolino, N. Balakrishnan, Stefano Mazzuco, B Colombo, Adelchi Azzalini, Alessandro Martini, Matteo Stocchero and Pierluigi Longatti. Their work appears in journals such as Rhinology Journal, Journal of Personalized Medicine, European Archives of Oto-Rhino-Laryngology, Laryngoscope Investigative Otolaryngology and International Journal of Environmental Research and Public Health.

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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