Riccardo Bigi
- Cardiology and Cardiovascular Medicine top 2%
- Radiology, Nuclear Medicine and Imaging top 1%
- Surgery top 10%
- Molecular Biology
- Biomedical Engineering
- Co-authors
- Lauro CortigianiEugenio PicanoWilson MathiasMario PrevitaliAnnachiara PingitoreRosa SicariDarío GregoriCesare Fiorentini
- Topics
- Cardiac Imaging and Diagnostics (70 papers)Cardiovascular Function and Risk Factors (28 papers)Cardiac electrophysiology and arrhythmias (22 papers)
- Cited by
- Cardiology and Cardiovascular MedicineRadiology, Nuclear Medicine and ImagingCritical Care and Intensive Care Medicine
- Partner nations
- ItalyUnited StatesNetherlands
In The Last Decade
Riccardo Bigi
115 papers receiving 1.9k citations
Peers
Comparison fields: 5 of 115
- Cardiology and Cardiovascular Medicine 1.2k
- Radiology, Nuclear Medicine and Imaging 1.1k
- Surgery 489
- Molecular Biology 177
- Biomedical Engineering 171
Countries citing papers authored by Riccardo Bigi
This map shows the geographic impact of Riccardo Bigi'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 Riccardo Bigi with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Riccardo Bigi more than expected).
Fields of papers citing papers by Riccardo Bigi
This network shows the impact of papers produced by Riccardo Bigi. 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 Riccardo Bigi. The network helps show where Riccardo Bigi may publish in the future.
Co-authorship network of co-authors of Riccardo Bigi
This figure shows the co-authorship network connecting the top 25 collaborators of Riccardo Bigi. A scholar is included among the top collaborators of Riccardo Bigi 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 Riccardo Bigi. Riccardo Bigi is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 48 | |
| 3 | 59 | |
| 4 | 19 | |
| 5 | Abstract 606: Prognostic Implication Of Stress Echocardiography Result In Hypertensives And Normotensives. A Study On 10,054 Patients | 1 |
| 6 | 11 | |
| 7 | 10 | |
| 8 | 6 | |
| 9 | 57 | |
| 10 | 13 | |
| 11 | 12 | |
| 12 | 2 | |
| 13 | 11 | |
| 14 | 8 | |
| 15 | 12 | |
| 16 | 5 | |
| 17 | 10 | |
| 18 | 10 | |
| 19 | 21 | |
| 20 | 2 |
About Riccardo Bigi
Riccardo Bigi is a scholar working on Cardiology and Cardiovascular Medicine, Radiology, Nuclear Medicine and Imaging and Critical Care and Intensive Care Medicine, having authored 117 papers that have together received 2.0k indexed citations. Recurring topics across this work include Cardiac Imaging and Diagnostics (70 papers), Cardiovascular Function and Risk Factors (28 papers) and Cardiac electrophysiology and arrhythmias (22 papers). The work is most often cited by research in Cardiology and Cardiovascular Medicine (1.2k citations), Radiology, Nuclear Medicine and Imaging (1.1k citations) and Critical Care and Intensive Care Medicine (109 citations). Riccardo Bigi has collaborated with scholars based in Italy, United States and Netherlands. Frequent co-authors include Lauro Cortigiani, Eugenio Picano, Wilson Mathias, Mario Previtali, Annachiara Pingitore, Rosa Sicari, Darío Gregori, Cesare Fiorentini, Patrizia Landi and Alessandro Desideri. Their work appears in journals such as Proceedings of the National Academy of Sciences, The Lancet and Circulation.
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.