Massimo W. Rivolta

2.0k citations
65 papers · 1.2k indexed · 1 hit paper · h-index 16

Massimo W. Rivolta

61 papers receiving 1.2k citations

Hit Papers

Relationships Between Lung Computed Tomographic Density, ...4171988202620002013100200300400

Peers

Massimo W. Rivolta
Comparison fields: 5 of 113
  • Critical Care and Intensive Care Medicine 171
  • Emergency Medicine 239
  • Pulmonary and Respiratory Medicine 687
  • Anesthesiology and Pain Medicine 76
  • Health Informatics 16
Replace Michael Czaplik with:
Michael Czaplik Germany
Walter Karlen Switzerland
Dan Adler Switzerland
Anne‐Marie Guerguerian Canada
Raffaele L. Dellacá Italy
R F McCloy United Kingdom
Stefan Schumann Germany
D. G. Mason United Kingdom
Kirk H. Shelley United States
Johanna Moore United States
Massimo W. Rivolta relative to Michael Czaplik Germany Michael Czaplik's profile →
Citations per field
00.5×3.1×
Michael Czaplik · 1×
Citations per year

Countries citing papers authored by Massimo W. Rivolta

Since Specialization
Citations

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

Fields of papers citing papers by Massimo W. Rivolta

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Massimo W. Rivolta. 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 Massimo W. Rivolta. The network helps show where Massimo W. Rivolta may publish in the future.

Co-authorship network

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

All Works

20 of 20 papers shown
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A methodological assessment of Phase-Rectified Signal Averaging through simulated beat-to-beat interval time series
20144
19
Cancellation of ventricular activity in endocavitary recordings during atrial fibrillation by Particle Swarm Optimization
20111
20 198848

About Massimo W. Rivolta

Massimo W. Rivolta is a scholar working on Cardiology and Cardiovascular Medicine, Physical Therapy, Sports Therapy and Rehabilitation, Cognitive Neuroscience, Critical Care and Intensive Care Medicine and Endocrine and Autonomic Systems, having authored 65 papers that have together received 1.2k indexed citations. Recurring topics across this work include ECG Monitoring and Analysis (30 papers), Cardiac electrophysiology and arrhythmias (25 papers), Cardiac Arrhythmias and Treatments (11 papers), Atrial Fibrillation Management and Outcomes (10 papers), EEG and Brain-Computer Interfaces (8 papers), Heart Rate Variability and Autonomic Control (6 papers), Ion channel regulation and function (6 papers) and Neonatal and fetal brain pathology (5 papers). The work is most often cited by research in Critical Care and Intensive Care Medicine (171 citations), Emergency Medicine (239 citations), Pulmonary and Respiratory Medicine (687 citations), Anesthesiology and Pain Medicine (76 citations) and Health Informatics (16 citations). Massimo W. Rivolta has collaborated with scholars based in Italy, Germany and United States. Frequent co-authors include Roberto Sassi, Luciano Gattinoni, A. Torresin, Antonio Pesenti, Roberto Marcolin, D. Mascheroni, Michela Bombino, Roberto Fumagalli, Simone Baglioni and Francesca Flavia Rossi. Their work appears in journals such as Computer Methods and Programs in Biomedicine, Journal of Thoracic Imaging, Philosophical Transactions of the Royal Society A Mathematical Physical and Engineering Sciences, Gerontology and International Journal of Cardiology.

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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