Camillo Cammarota
- Cardiology and Cardiovascular Medicine
- Economics and Econometrics top 10%
- Condensed Matter Physics
- Statistical and Nonlinear Physics top 10%
- Mathematical Physics top 10%
- Co-authors
- Mario CurioneAlessandro PintoEdoardo MociniFrancesco FrigerioPaolo IlicetoTian P. S. OeiLorenzo M. DoniniEmanuele Fino
- Topics
- Heart Rate Variability and Autonomic Control (11 papers)Complex Systems and Time Series Analysis (9 papers)Cardiac electrophysiology and arrhythmias (7 papers)
In The Last Decade
Camillo Cammarota
33 papers receiving 330 citations
Peers
Comparison fields: 5 of 101
- Cardiology and Cardiovascular Medicine 81
- Economics and Econometrics 71
- Condensed Matter Physics 45
- Statistical and Nonlinear Physics 45
- Mathematical Physics 43
Countries citing papers authored by Camillo Cammarota
This map shows the geographic impact of Camillo Cammarota'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 Camillo Cammarota with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Camillo Cammarota more than expected).
Fields of papers citing papers by Camillo Cammarota
This network shows the impact of papers produced by Camillo Cammarota. 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 Camillo Cammarota. The network helps show where Camillo Cammarota may publish in the future.
Co-authorship network of co-authors of Camillo Cammarota
This figure shows the co-authorship network connecting the top 25 collaborators of Camillo Cammarota. A scholar is included among the top collaborators of Camillo Cammarota 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 Camillo Cammarota. Camillo Cammarota is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 24 | |
| 2 | 21 | |
| 3 | 14 | |
| 4 | 4 | |
| 5 | 5 | |
| 6 | 28 | |
| 7 | 22 | |
| 8 | 3 | |
| 9 | 7 | |
| 10 | QRS area monitoring during stress test: A novel index to separate normal to ischaemic patients? | 4 |
| 11 | 6 | |
| 12 | 10 | |
| 13 | 2 | |
| 14 | 3 | |
| 15 | 14 | |
| 16 | Heart rate stationarity in heart transplanted patients. | 2 |
| 17 | Is a Reduced Entropy in Heart Rate Variability an Early Finding of Silent Cardiac Neurovegetative Dysautonomia in Type 2 Diabetes Mellitus | 5 |
| 18 | 2 | |
| 19 | 0 | |
| 20 | 4 |
About Camillo Cammarota
Camillo Cammarota is a scholar working on Statistics and Probability, Mathematical Physics and Cardiology and Cardiovascular Medicine, having authored 35 papers that have together received 342 indexed citations. Recurring topics across this work include Heart Rate Variability and Autonomic Control (11 papers), Complex Systems and Time Series Analysis (9 papers) and Cardiac electrophysiology and arrhythmias (7 papers). The work is most often cited by research in Mathematical Physics (43 citations), Condensed Matter Physics (45 citations) and Statistics and Probability (31 citations). Camillo Cammarota has collaborated with scholars based in Italy, Australia and Belgium. Frequent co-authors include Mario Curione, Alessandro Pinto, Edoardo Mocini, Francesco Frigerio, Paolo Iliceto, Tian P. S. Oei, Lorenzo M. Donini, Emanuele Fino, Lucio Russo and Salvatore Marullo. Their work appears in journals such as Geophysical Research Letters, Nutrients and Communications in Mathematical Physics.
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.