M. Varanini

1.5k citations
86 papers · 1.1k · h-index 20

Impact in

Papers in

M. Varanini

80 papers receiving 1.1k citations

Peers

M. Varanini
Comparison fields: 5 of 110
  • Cardiology and Cardiovascular Medicine 632
  • Cognitive Neuroscience 445
  • Equine 23
  • Signal Processing 142
  • Psychiatry and Mental health 91
Replace R. Balocchi with:
R. Balocchi Italy
A. Macerata Italy
K. Paul Joseph India
Michal Javorka Slovakia
Peter Walter Kamen Australia
Dirk Cysarz Germany
K Javorka Slovakia
Jarosław Piskorski Poland
Steffen Schulz Germany
Kang-Ming Chang Taiwan
M. Varanini relative to R. Balocchi Italy R. Balocchi's profile →
Citations per field
00.5×2.9×
R. Balocchi · 1×
Citations per year

Countries citing papers authored by M. Varanini

Since Specialization
Citations

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

Fields of papers citing papers by M. Varanini

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 86 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201478
2 201878
3 200758
4 200554
5 201844
6 200740
7 201239
8
A multi-step approach for non-invasive fetal ECG analysis
201339
9 200639
10 200238
11 201332
12 200232
13 201330
14 199527
15 201724
16 201324
17 201623
18 201223
19 201022
20 200820

About M. Varanini

M. Varanini is a scholar working on Cardiology and Cardiovascular Medicine, Cognitive Neuroscience, Biomedical Engineering, Surgery and Physiology, having authored 86 papers that have together received 1.1k indexed citations. Recurring topics across this work include Heart Rate Variability and Autonomic Control (42 papers), ECG Monitoring and Analysis (29 papers), EEG and Brain-Computer Interfaces (19 papers), Non-Invasive Vital Sign Monitoring (15 papers), Pain Management and Placebo Effect (11 papers), Cardiac electrophysiology and arrhythmias (10 papers), Blind Source Separation Techniques (8 papers) and Cardiovascular Syncope and Autonomic Disorders (8 papers). The work is most often cited by research in Cardiology and Cardiovascular Medicine (632 citations), Cognitive Neuroscience (445 citations), Equine (23 citations), Signal Processing (142 citations) and Psychiatry and Mental health (91 citations). M. Varanini has collaborated with scholars based in Italy, Greece and United States. Frequent co-authors include Lucia Billeci, R. Balocchi, A. Macerata, Franco Chiarugi, Enrica L. Santarcangelo, Giovanni Pioggia, Gennaro Tartarisco, Carlo Marchesi, Michele Emdin and Giampaolo Vatti. Their work appears in journals such as International Journal of Clinical and Experimental Hypnosis, Frontiers in Physiology, International Journal of Psychophysiology, Physiology & Behavior and PLoS ONE.

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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