Violeta Monasterio

737 citations
32 papers · 596 · h-index 11

Impact in

Papers in

Violeta Monasterio

30 papers receiving 580 citations

Peers

Violeta Monasterio
Comparison fields: 5 of 57
  • Cardiology and Cardiovascular Medicine 318
  • Computational Mathematics 3
  • Physiology 86
  • Experimental and Cognitive Psychology 50
  • Biomedical Engineering 94
Replace J. H. Peter with:
J. H. Peter Germany
Zvika Shinar Israel
Erdenebayar Urtnasan South Korea
Jong-Uk Park South Korea
Pascal Borzée Belgium
Liang-Yu Shyu Taiwan
Cuiwei Yang China
Arnaud Moreau Netherlands
Ao Li China
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Violeta Monasterio relative to J. H. Peter Germany J. H. Peter's profile →
Citations per field
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J. H. Peter · 1×
Citations per year

Countries citing papers authored by Violeta Monasterio

Since Specialization
Citations

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

Fields of papers citing papers by Violeta Monasterio

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 32 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2013187
2 200958
3 201737
4 201036
5 201135
6 201534
7 201229
8 201729
9 201327
10 201023
11 201315
12 200510
13 201310
14 201610
15 20158
16 20177
17 20166
18
Multilead estimation of T-wave alternans in the ECG using Principal Component Analysis
20085
19 20195
20 20074

About Violeta Monasterio

Violeta Monasterio is a scholar working on Cardiology and Cardiovascular Medicine, Computer Vision and Pattern Recognition, Physiology, Biomedical Engineering and Computer Networks and Communications, having authored 32 papers that have together received 596 indexed citations. Recurring topics across this work include Cardiac electrophysiology and arrhythmias (15 papers), ECG Monitoring and Analysis (11 papers), Non-Invasive Vital Sign Monitoring (4 papers), Spaceflight effects on biology (3 papers), Distributed and Parallel Computing Systems (2 papers), Heart Rate Variability and Autonomic Control (2 papers), Cardiac pacing and defibrillation studies (2 papers) and Context-Aware Activity Recognition Systems (2 papers). The work is most often cited by research in Cardiology and Cardiovascular Medicine (318 citations), Computational Mathematics (3 citations), Physiology (86 citations), Experimental and Cognitive Psychology (50 citations) and Biomedical Engineering (94 citations). Violeta Monasterio has collaborated with scholars based in Spain, United Kingdom and Italy. Frequent co-authors include Juan Pablo Martí­nez, Pablo Laguna, Gari D. Clifford, Atul Malhotra, Joachim A. Behar, Thomas Penzel, Iwona Cygankiewicz, Esther Pueyo, Antoni Bayés de Luna and Michele Orini. Their work appears in journals such as Physiological Measurement, IEEE Transactions on Biomedical Engineering, PLoS ONE, Journal of the American Heart Association and Journal of the American College of Cardiology.

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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