Massimo W. Rivolta

2.0k total citations · 1 hit paper
65 papers, 1.2k citations indexed

About

Massimo W. Rivolta is a scholar working on Cardiology and Cardiovascular Medicine, Cognitive Neuroscience and Biomedical Engineering. According to data from OpenAlex, Massimo W. Rivolta has authored 65 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 45 papers in Cardiology and Cardiovascular Medicine, 11 papers in Cognitive Neuroscience and 8 papers in Biomedical Engineering. Recurrent topics in Massimo W. Rivolta's work include ECG Monitoring and Analysis (30 papers), Cardiac electrophysiology and arrhythmias (25 papers) and Cardiac Arrhythmias and Treatments (11 papers). Massimo W. Rivolta is often cited by papers focused on ECG Monitoring and Analysis (30 papers), Cardiac electrophysiology and arrhythmias (25 papers) and Cardiac Arrhythmias and Treatments (11 papers). Massimo W. Rivolta collaborates with scholars based in Italy, Germany and United States. Massimo W. Rivolta's 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 and has published in prestigious journals such as SHILAP Revista de lepidopterología, PLoS ONE and Anesthesiology.

In The Last Decade

Massimo W. Rivolta

61 papers receiving 1.2k citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Relationships Between Lung Computed Tomographic Density, Gas Exchange, and PEEP in Acute Respiratory Failure

1988 417 citations Luciano Gattinoni, Antonio Pesenti et al. profile →

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name	h						Papers	Cites
Massimo W. Rivolta Italy	16	687	239	232	210	171	65	1.2k
Alessandro Beda Brazil	18	583 0.8×	202 0.8×	192 0.8×	148 0.7×	229 1.3×	47	916
Josefina López‐Aguilar Spain	23	1.2k 1.7×	443 1.9×	79 0.3×	173 0.8×	727 4.3×	61	1.6k
Cyril Perret France	20	669 1.0×	241 1.0×	141 0.6×	90 0.4×	281 1.6×	63	1.7k
Stefan Schumann Germany	24	960 1.4×	275 1.2×	90 0.4×	391 1.9×	210 1.2×	147	1.8k
Michael Czaplik Germany	26	225 0.3×	281 1.2×	289 1.2×	545 2.6×	164 1.0×	110	1.7k
Raffaele L. Dellacá Italy	30	2.4k 3.5×	166 0.7×	181 0.8×	465 2.2×	160 0.9×	183	3.0k
Johanna Moore United States	25	167 0.2×	581 2.4×	200 0.9×	116 0.6×	219 1.3×	81	1.5k
Hartmut Gehring Germany	19	385 0.6×	72 0.3×	200 0.9×	408 1.9×	88 0.5×	80	1.3k
Dries Testelmans Belgium	26	1.0k 1.5×	79 0.3×	339 1.5×	479 2.3×	394 2.3×	123	2.4k
Anne‐Marie Guerguerian Canada	25	275 0.4×	559 2.3×	199 0.9×	369 1.8×	60 0.4×	72	1.4k

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 of co-authors of Massimo W. Rivolta

This figure shows the co-authorship network connecting the top 25 collaborators of Massimo W. Rivolta. A scholar is included among the top collaborators of Massimo W. Rivolta based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Massimo W. Rivolta. Massimo W. Rivolta is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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20 of 20 papers shown

Rivolta, Massimo W., et al.. (2025). Biomarker Investigation Using Multiple Brain Measures from MRI Through Explainable Artificial Intelligence in Alzheimer’s Disease Classification. Bioengineering. 12(1). 82–82. 3 indexed citations

Lamiani, Giulia, et al.. (2025). Visiting a loved one in the ICU with the aid of dedicated booklets is associated with reduced separation anxiety in children and adolescents. Child and Adolescent Psychiatry and Mental Health. 19(1). 65–65.

Sbrollini, Agnese, Chiara Leoni, Micaela Morettini, et al.. (2024). Identification of Electrocardiographic Patterns Related to Mortality with COVID-19. Applied Sciences. 14(2). 817–817. 1 indexed citations

Rivolta, Massimo W., et al.. (2023). Recommender system for ablation lines to treat complex atrial tachycardia. Computer Methods and Programs in Biomedicine. 231. 107406–107406. 1 indexed citations

Sassi, Roberto, et al.. (2023). Recovery from Coma after Cardiac Arrest: Which Time-Window Counts the Most for Deep Learning Predictions?. Computing in cardiology. 50.

Rahman, Md Moklesur, Massimo W. Rivolta, Fabio Badilini, & Roberto Sassi. (2023). A Systematic Survey of Data Augmentation of ECG Signals for AI Applications. Sensors. 23(11). 5237–5237. 22 indexed citations

Visone, Roberta, Simona Marzorati, Massimo W. Rivolta, et al.. (2022). Predicting human cardiac QT alterations and pro-arrhythmic effects of compounds with a 3D beating heart-on-chip platform. Toxicological Sciences. 191(1). 47–60. 9 indexed citations

Corino, Valentina, Massimo W. Rivolta, Pietro Cerveri, et al.. (2022). A CNN for Covid Detection Using ECG signals. Computing in cardiology. 1 indexed citations

Rivolta, Massimo W., Luca Mainardi, Roberto Sassi, et al.. (2022). Association between ventricular repolarization parameters and cardiovascular death in patients of the SWISS-AF cohort. International Journal of Cardiology. 356. 53–59. 1 indexed citations

10.

Rivolta, Massimo W., Olaf Dössel, Roberto Sassi, et al.. (2022). Machine Learning Using a Single-Lead ECG to Identify Patients With Atrial Fibrillation-Induced Heart Failure. Frontiers in Cardiovascular Medicine. 9. 812719–812719. 6 indexed citations

11.

Azzolin, Luca, Steffen Schuler, Massimo W. Rivolta, et al.. (2021). Machine learning enables noninvasive prediction of atrial fibrillation driver location and acute pulmonary vein ablation success using the 12-lead ECG. SHILAP Revista de lepidopterología. 2(2). 126–136. 32 indexed citations

12.

Rivolta, Massimo W., et al.. (2021). Relationship Between Deceleration Morphology and Phase Rectified Signal Averaging-Based Parameters During Labor. Frontiers in Medicine. 8. 626450–626450. 7 indexed citations

13.

Rivolta, Massimo W., et al.. (2020). Interpretability Analysis of Machine Learning Algorithms in the Detection of ST-Elevation Myocardial Infarction. Computing in cardiology. 47. 6 indexed citations

14.

Corino, Valentina, Massimo W. Rivolta, Luca Mainardi, & Roberto Sassi. (2020). Assessment of spatial heterogeneity of ventricular repolarization after multi-channel blocker drugs in healthy subjects. Computer Methods and Programs in Biomedicine. 189. 105291–105291. 2 indexed citations

15.

Azzolin, Luca, Massimo W. Rivolta, Roberto Sassi, et al.. (2020). Non-Invasive Identification of Atrial Fibrillation Driver Location Using the 12-lead ECG: Pulmonary Vein Rotors vs. other Locations. PubMed. 2020. 410–413. 3 indexed citations

16.

Rivolta, Massimo W., Md Aktaruzzaman, Giovanna Rizzo, et al.. (2018). Evaluation of the Tinetti score and fall risk assessment via accelerometry-based movement analysis. Artificial Intelligence in Medicine. 95. 38–47. 43 indexed citations

17.

Rivolta, Massimo W., Luca Mainardi, & Roberto Sassi. (2015). Quantification of ventricular repolarization heterogeneity during moxifloxacin or sotalol administration using $\mathcal{V}$ -index. Physiological Measurement. 36(4). 803–811. 8 indexed citations

18.

Sassi, Roberto, et al.. (2014). A methodological assessment of Phase-Rectified Signal Averaging through simulated beat-to-beat interval time series. Archivio Istituzionale della Ricerca (Universita Degli Studi Di Milano). 601–604. 4 indexed citations

19.

Mainardi, Luca, et al.. (2011). Cancellation of ventricular activity in endocavitary recordings during atrial fibrillation by Particle Swarm Optimization. Virtual Community of Pathological Anatomy (University of Castilla La Mancha). 597–600. 1 indexed citations

20.

Gattinoni, Luciano, Antonio Pesenti, Stefano Baglioni, et al.. (1988). Inflammatory pulmonary edema and positive end-expiratory pressure. Journal of Thoracic Imaging. 3(3). 59–64. 48 indexed citations

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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