Simone Piva

8.0k citations
57 papers · 990 · h-index 18

Impact in

Papers in

Simone Piva

52 papers receiving 968 citations

Peers

Simone Piva
Comparison fields: 5 of 105
  • Critical Care and Intensive Care Medicine 246
  • Neurology 281
  • Applied Microbiology and Biotechnology 23
  • Radiological and Ultrasound Technology 36
  • Infectious Diseases 126
Replace Apostolos Komnos with:
Apostolos Komnos Greece
Sascha Treskatsch Germany
Alberto Corona Italy
Raphaël Cinotti France
John J. Lewin United States
Nicholas Heming France
Frank Rasulo Italy
Virginie Maxime France
Xiuming Xi China
Jeremy Cohen Australia
Simone Piva relative to Apostolos Komnos Greece Apostolos Komnos's profile →
Citations per field
00.5×4.1×
Apostolos Komnos · 1×
Citations per year

Countries citing papers authored by Simone Piva

Since Specialization
Citations

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

Fields of papers citing papers by Simone Piva

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 57 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2020116
2 2017105
3 202193
4 202153
5
Calculated Decisions: Brescia-COVID Respiratory Severity Scale (BCRSS)/Algorithm.
202051
6 200848
7 201544
8 202140
9 201333
10 202329
11 201326
12 201524
13 200824
14 202323
15 201922
16 201620
17 202119
18 202117
19 202216
20 200816

About Simone Piva

Simone Piva is a scholar working on Critical Care and Intensive Care Medicine, Neurology, Pulmonary and Respiratory Medicine, Infectious Diseases and Radiological and Ultrasound Technology, having authored 57 papers that have together received 990 indexed citations. Recurring topics across this work include Intensive Care Unit Cognitive Disorders (18 papers), Long-Term Effects of COVID-19 (11 papers), Respiratory Support and Mechanisms (6 papers), Traumatic Brain Injury and Neurovascular Disturbances (5 papers), Anesthesia and Sedative Agents (4 papers), Anesthesia and Neurotoxicity Research (4 papers), Family and Patient Care in Intensive Care Units (4 papers) and COVID-19 Clinical Research Studies (3 papers). The work is most often cited by research in Critical Care and Intensive Care Medicine (246 citations), Neurology (281 citations), Applied Microbiology and Biotechnology (23 citations), Radiological and Ultrasound Technology (36 citations) and Infectious Diseases (126 citations). Simone Piva has collaborated with scholars based in Italy, Canada and United States. Frequent co-authors include Nicola Latronico, Frank Rasulo, Stefano Calza, Emanuele Focà, Nazzareno Fagoni, Elena Peli, Michele Bertoni, Matteo Filippini, Rita Bertuetti and Francesco Castelli. Their work appears in journals such as Critical Care, Journal of Critical Care, European Journal of Anaesthesiology, Frontiers in Medicine and CHEST Journal.

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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