R. Balocchi

44 papers receiving 750 citations

Peers

R. Balocchi
Comparison fields: 5 of 112
  • Cardiology and Cardiovascular Medicine 480
  • Equine 24
  • Cognitive Neuroscience 250
  • Signal Processing 108
  • Experimental and Cognitive Psychology 71
Replace Joanna Wdowczyk‐Szulc with:
Joanna Wdowczyk‐Szulc Poland
Olaf Hoos Germany
Bruce Rogers United States
Raymond J. Morin United States
O. Rompelman Netherlands
Wilhelm von Rosenberg United Kingdom
Seppo Nissilä Finland
Matthias Kreuzer Germany
Yuhei Ichimaru Japan
Andrea Marchi Italy
R. Balocchi relative to Joanna Wdowczyk‐Szulc Poland Joanna Wdowczyk‐Szulc's profile →
Citations per field
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Joanna Wdowczyk‐Szulc · 1×
Citations per year

Countries citing papers authored by R. Balocchi

Since Specialization
Citations

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

Fields of papers citing papers by R. Balocchi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 45 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2007109
2 201477
3 200772
4 201263
5 200639
6
A multi-step approach for non-invasive fetal ECG analysis
201339
7 201332
8 201329
9 201623
10 201223
11 201022
12 201420
13 201317
14 200416
15 200816
16 200615
17 200415
18 200714
19 198813
20 200013

About R. Balocchi

R. Balocchi is a scholar working on Cardiology and Cardiovascular Medicine, Cognitive Neuroscience, Economics and Econometrics, Surgery and Statistical and Nonlinear Physics, having authored 45 papers that have together received 768 indexed citations. Recurring topics across this work include Heart Rate Variability and Autonomic Control (27 papers), Complex Systems and Time Series Analysis (10 papers), Cardiovascular Syncope and Autonomic Disorders (6 papers), EEG and Brain-Computer Interfaces (6 papers), Pain Management and Placebo Effect (6 papers), ECG Monitoring and Analysis (5 papers), Nonlinear Dynamics and Pattern Formation (4 papers) and Blind Source Separation Techniques (4 papers). The work is most often cited by research in Cardiology and Cardiovascular Medicine (480 citations), Equine (24 citations), Cognitive Neuroscience (250 citations), Signal Processing (108 citations) and Experimental and Cognitive Psychology (71 citations). R. Balocchi has collaborated with scholars based in Italy, Spain and United States. Frequent co-authors include M. Varanini, A. Macerata, Giovanni Pioggia, Gennaro Tartarisco, Lucia Billeci, Roberto Maestri, Gian Domenico Pinna, Alberto Porta, Enrica L. Santarcangelo and Roberto Sassi. Their work appears in journals such as International Journal of Clinical and Experimental Hypnosis, International Journal of Psychophysiology, Physiological Measurement, International Journal of Bifurcation and Chaos and Chaos An Interdisciplinary Journal of Nonlinear Science.

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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