Mariano Llamedo
- Cardiology and Cardiovascular Medicine top 2%
- Cognitive Neuroscience top 5%
- Biomedical Engineering
- Pulmonary and Respiratory Medicine
- Signal Processing top 10%
- Co-authors
- Juan Pablo MartínezTanis MarSebastian ZaunsederPablo LagunaVioleta MonasterioJulia RamírezIwona CygankiewiczAntoni Bayés de Luna
- Topics
- ECG Monitoring and Analysis (13 papers)EEG and Brain-Computer Interfaces (9 papers)Cardiac electrophysiology and arrhythmias (4 papers)
In The Last Decade
Mariano Llamedo
13 papers receiving 730 citations
Peers
Comparison fields: 5 of 48
- Cardiology and Cardiovascular Medicine 705
- Cognitive Neuroscience 553
- Biomedical Engineering 251
- Pulmonary and Respiratory Medicine 164
- Signal Processing 82
Countries citing papers authored by Mariano Llamedo
This map shows the geographic impact of Mariano Llamedo'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 Mariano Llamedo with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Mariano Llamedo more than expected).
Fields of papers citing papers by Mariano Llamedo
This network shows the impact of papers produced by Mariano Llamedo. 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 Mariano Llamedo. The network helps show where Mariano Llamedo may publish in the future.
Co-authorship network of co-authors of Mariano Llamedo
This figure shows the co-authorship network connecting the top 25 collaborators of Mariano Llamedo. A scholar is included among the top collaborators of Mariano Llamedo 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 Mariano Llamedo. Mariano Llamedo is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 3 | |
| 2 | 1 | |
| 3 | 30 | |
| 4 | 3 | |
| 5 | A pattern-recognition approach for lead-selection in heartbeat detection | 0 |
| 6 | QRS detectors performance comparison in public databases | 15 |
| 7 | Morphologic features of the ECG for detection of stress-induced ischemia | 2 |
| 8 | Noninvasive fetal ECG estimation based on linear transformations | 8 |
| 9 | 17 | |
| 10 | 93 | |
| 11 | Analysis of a semiautomatic algorithm for ECG heartbeat classification | 3 |
| 12 | Influence of simulated microgravity by head-down-bed-resting on QT/RR dynamics | 0 |
| 13 | 253 | |
| 14 | 319 | |
| 15 | Analysis of 12-lead classification models for ECG classification | 8 |
About Mariano Llamedo
Mariano Llamedo is a scholar working on Cardiology and Cardiovascular Medicine, Cognitive Neuroscience and Signal Processing, having authored 15 papers that have together received 755 indexed citations. Recurring topics across this work include ECG Monitoring and Analysis (13 papers), EEG and Brain-Computer Interfaces (9 papers) and Cardiac electrophysiology and arrhythmias (4 papers). The work is most often cited by research in Cardiology and Cardiovascular Medicine (705 citations), Cognitive Neuroscience (553 citations) and Signal Processing (82 citations). Mariano Llamedo has collaborated with scholars based in Spain, Argentina and Germany. Frequent co-authors include Juan Pablo Martínez, Tanis Mar, Sebastian Zaunseder, Pablo Laguna, Violeta Monasterio, Julia Ramírez, Iwona Cygankiewicz, Antoni Bayés de Luna, Marek Malík and Esther Pueyo. Their work appears in journals such as IEEE Transactions on Biomedical Engineering, Physiological Measurement and Medical Engineering & 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.