Miguel Altuve

552 total citations
45 papers, 357 citations indexed

About

Miguel Altuve is a scholar working on Cardiology and Cardiovascular Medicine, Biomedical Engineering and Cognitive Neuroscience. According to data from OpenAlex, Miguel Altuve has authored 45 papers receiving a total of 357 indexed citations (citations by other indexed papers that have themselves been cited), including 25 papers in Cardiology and Cardiovascular Medicine, 19 papers in Biomedical Engineering and 11 papers in Cognitive Neuroscience. Recurrent topics in Miguel Altuve's work include ECG Monitoring and Analysis (21 papers), Non-Invasive Vital Sign Monitoring (15 papers) and EEG and Brain-Computer Interfaces (11 papers). Miguel Altuve is often cited by papers focused on ECG Monitoring and Analysis (21 papers), Non-Invasive Vital Sign Monitoring (15 papers) and EEG and Brain-Computer Interfaces (11 papers). Miguel Altuve collaborates with scholars based in Colombia, Venezuela and France. Miguel Altuve's co-authors include Sara Wong, Guy Carrault, Alain Beuchée, Patrick Pladys, Alfredo Hernández, Alfredo Hernández, David Rojas, Gerardo Fernández, Géraldine Favrais and Bruno Laviolle and has published in prestigious journals such as SHILAP Revista de lepidopterología, Scientific Reports and Environmental Earth Sciences.

In The Last Decade

Miguel Altuve

42 papers receiving 347 citations

Peers

Miguel Altuve

CCM

CVPR

Heike Leutheuser Germany

Kyeong-Seop Kim South Korea

Kamen Ivanov China

Jiewen Zheng China

Chuang-Chien Chiu Taiwan

Pragya Sharma United States

F. Mora Venezuela

Wanqing Wu China

Andrew Bates United Kingdom

Yashodhan Athavale Canada

Heike Leutheuser Germany

Miguel Altuve

107 ×0.7

CCM

240 ×1.8

158 ×2.1

CVPR

102 ×1.5

48 ×1.1

Citations per year, relative to Miguel Altuve Miguel Altuve (= 1×) peers Heike Leutheuser

Countries citing papers authored by Miguel Altuve

Since Specialization

Citations

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

Fields of papers citing papers by Miguel Altuve

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Miguel Altuve

This figure shows the co-authorship network connecting the top 25 collaborators of Miguel Altuve. A scholar is included among the top collaborators of Miguel Altuve 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 Miguel Altuve. Miguel Altuve is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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20 of 20 papers shown

Altuve, Miguel, et al.. (2025). Detection of retinal diseases from OCT images using a VGG16 and transfer learning. Discover Applied Sciences. 7(3).

Altuve, Miguel, et al.. (2022). Intracerebral hemorrhage detection on computed tomography images using a residual neural network. Physica Medica. 99. 113–119. 18 indexed citations

Doyen, Matthieu, Alfredo Hernández, Cyril Flamant, et al.. (2021). Early bradycardia detection and therapeutic interventions in preterm infant monitoring. Scientific Reports. 11(1). 10486–10486. 6 indexed citations

Altuve, Miguel, et al.. (2021). Hidden Markov model-based heartbeat detector using electrocardiogram and arterial pressure signals. Biomedical Engineering Letters. 11(3). 249–261. 2 indexed citations

Altuve, Miguel, et al.. (2020). Fundamental heart sounds analysis using improved complete ensemble EMD with adaptive noise. Journal of Applied Biomedicine. 40(1). 426–439. 30 indexed citations

Altuve, Miguel, et al.. (2020). Characterization of inertial sensors signals of a smartwatch during walking. Journal of Physics Conference Series. 1514(1). 12010–12010.

Altuve, Miguel, et al.. (2019). Optimized fasting and OGTT-based simple surrogate methods for assessing insulin sensitivity. Diabetes & Metabolic Syndrome Clinical Research & Reviews. 13(4). 2683–2687. 2 indexed citations

Altuve, Miguel, et al.. (2019). Joint analysis of fasting and postprandial plasma glucose and insulin concentrations in Venezuelan women. Diabetes & Metabolic Syndrome Clinical Research & Reviews. 13(3). 2242–2248. 1 indexed citations

Wong, Sara, et al.. (2019). Estimation of invasive physiological parameters from non invasive parameters using dimensionless numbers and Monte Carlo cross-validation. 8. 1–5. 1 indexed citations

10.

Altuve, Miguel, et al.. (2019). Optimal data fusion for the improvement of QRS complex detection in multi-channel ECG recordings. Medical & Biological Engineering & Computing. 57(8). 1673–1681. 17 indexed citations

11.

Rojas, David, et al.. (2018). Artificial Neural Network for Laparoscopic Skills Classification Using Motion Signals from Apple Watch. PubMed. 2018. 5434–5437. 12 indexed citations

12.

Altuve, Miguel. (2018). Hierarchical and Partitional Cluster Analysis of Glucose and Insulin Data from the Oral Glucose Tolerance Test. SHILAP Revista de lepidopterología. 1 indexed citations

13.

Altuve, Miguel, et al.. (2018). QRS complex detection based on continuous density hidden Markov models using univariate observations. Journal of Physics Conference Series. 1002. 12009–12009. 3 indexed citations

14.

Altuve, Miguel, et al.. (2015). Data fusion for QRS complex detection in multi-lead electrocardiogram recordings. Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE. 9681. 968118–968118. 6 indexed citations

15.

Altuve, Miguel, et al.. (2014). A new on-line electrocardiographic records database and computer routines for data analysis. PubMed. 2014. 2738–2741. 18 indexed citations

16.

Altuve, Miguel, et al.. (2012). Towards the prediction of mortality in Intensive Care Units patients: A Simple Correspondence Analysis approach. Computing in Cardiology. 469–472. 2 indexed citations

17.

Wong, Sara, Gaëlle Kervio, Miguel Altuve, François Carré, & Guy Carrault. (2012). Comparing six QT correction methods in an athlete population. Computing in Cardiology. 585–588. 7 indexed citations

18.

Altuve, Miguel, et al.. (2009). Analysis of the QRS complex for apnea-bradycardia characterization in preterm infants. PubMed. 2009. 946–949. 7 indexed citations

19.

Altuve, Miguel, Sara Wong, G. Passariello, Fabienne Porée, & Alfredo Hernández. (2006). Adaptive filtering for ventricular repolarization variability assessment. Computing in Cardiology Conference. 469–472. 1 indexed citations

20.

Altuve, Miguel, et al.. (2006). LF/(LF+HF) index in Ventricular Repolarization Variability correlated and uncorrelated with Heart Rate Variability. PubMed. 25. 1363–1366. 1 indexed citations

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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