J. Henriques

3.5k total citations
182 papers, 2.4k citations indexed

About

J. Henriques is a scholar working on Cardiology and Cardiovascular Medicine, Artificial Intelligence and Pulmonary and Respiratory Medicine. According to data from OpenAlex, J. Henriques has authored 182 papers receiving a total of 2.4k indexed citations (citations by other indexed papers that have themselves been cited), including 71 papers in Cardiology and Cardiovascular Medicine, 43 papers in Artificial Intelligence and 35 papers in Pulmonary and Respiratory Medicine. Recurrent topics in J. Henriques's work include ECG Monitoring and Analysis (43 papers), Phonocardiography and Auscultation Techniques (32 papers) and Heart Rate Variability and Autonomic Control (25 papers). J. Henriques is often cited by papers focused on ECG Monitoring and Analysis (43 papers), Phonocardiography and Auscultation Techniques (32 papers) and Heart Rate Variability and Autonomic Control (25 papers). J. Henriques collaborates with scholars based in Portugal, Germany and Brazil. J. Henriques's co-authors include P. Carvalho, Michel Antunes, Ricardo Couceiro, Rui Pedro Paiva, Dinesh Kumar, António Dourado, Jens Muehlsteff, S. Paredes, Teresa Rocha and Paulo Gil and has published in prestigious journals such as SHILAP Revista de lepidopterología, PLoS ONE and Scientific Reports.

In The Last Decade

J. Henriques

164 papers receiving 2.3k citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
J. Henriques Portugal 25 1.2k 596 534 464 430 182 2.4k
Xiao Hu United States 33 1.3k 1.1× 1.0k 1.7× 400 0.7× 414 0.9× 1.2k 2.7× 209 3.7k
P. Carvalho Portugal 25 824 0.7× 302 0.5× 779 1.5× 104 0.2× 519 1.2× 174 2.1k
Dhanjoo N. Ghista Singapore 39 2.2k 1.8× 1.4k 2.3× 720 1.3× 769 1.7× 1.1k 2.7× 211 4.4k
Dingchang Zheng United Kingdom 28 1.7k 1.4× 740 1.2× 315 0.6× 319 0.7× 1.5k 3.5× 177 2.9k
Miguel Coimbra Portugal 23 878 0.7× 281 0.5× 992 1.9× 132 0.3× 379 0.9× 144 2.4k
William H. Maisel United States 37 4.3k 3.6× 809 1.4× 174 0.3× 342 0.7× 732 1.7× 76 5.9k
Sun Kook Yoo South Korea 24 584 0.5× 303 0.5× 200 0.4× 210 0.5× 694 1.6× 141 1.9k
Dewar Finlay United Kingdom 22 838 0.7× 209 0.4× 125 0.2× 189 0.4× 486 1.1× 217 2.2k
Awni Hannun Israel 9 1.2k 1.0× 86 0.1× 293 0.5× 251 0.5× 372 0.9× 16 2.2k
Ikaro Silva United States 19 1.3k 1.1× 203 0.3× 443 0.8× 50 0.1× 573 1.3× 28 2.1k

Countries citing papers authored by J. Henriques

Since Specialization
Citations

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

Fields of papers citing papers by J. Henriques

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of J. Henriques

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

All Works

20 of 20 papers shown
1.
Simões, Marco, J. Henriques, P. Carvalho, et al.. (2025). The Heartbeat‐Evoked Potential in Young and Older Adults During Attention Orienting. Psychophysiology. 62(4). e70057–e70057. 1 indexed citations
2.
Gil, Paulo, et al.. (2025). Neuro-fuzzy tracking control of discrete-time nonlinear systems under Linear Matrix Inequality region constraints. Engineering Applications of Artificial Intelligence. 153. 110672–110672. 1 indexed citations
3.
4.
Monteiro, Beatriz P., et al.. (2024). The acute effect of bilateral cathodic transcranial direct current stimulation on respiratory muscle strength and endurance. Respiratory Physiology & Neurobiology. 332. 104382–104382.
5.
Fernandes, Felipe, Ana Raquel Rodrigues Lindquist, Antônio Higor Freire de Morais, et al.. (2024). Blockchain in Health Information Systems: A Systematic Review. International Journal of Environmental Research and Public Health. 21(11). 1512–1512. 3 indexed citations
6.
Fernandes, Felipe, Antônio Higor Freire de Morais, J. Henriques, et al.. (2023). Digital Alternative Communication for Individuals with Amyotrophic Lateral Sclerosis: What We Have. Journal of Clinical Medicine. 12(16). 5235–5235. 5 indexed citations
7.
Albuquerque, Gabriela, Felipe Fernandes, Daniele M. S. Barros, et al.. (2023). Computational methods applied to syphilis: where are we, and where are we going?. Frontiers in Public Health. 11. 1201725–1201725. 5 indexed citations
8.
Loureiro, João, L. Schmitt, J. Henriques, et al.. (2023). Towards continuous non-invasive blood pressure measurements—interpretation of the vasculature response to cuff inflation. Frontiers in Physiology. 14. 1172688–1172688. 2 indexed citations
9.
10.
Fernandes, Felipe, Daniele M. S. Barros, J. Henriques, et al.. (2022). Electronic health records in Brazil: Prospects and technological challenges. Frontiers in Public Health. 10. 963841–963841. 21 indexed citations
11.
Fernandes, Felipe, Daniele M. S. Barros, Ricardo Alexsandro de Medeiros Valentim, et al.. (2021). Biomedical signals and machine learning in amyotrophic lateral sclerosis: a systematic review. BioMedical Engineering OnLine. 20(1). 61–61. 30 indexed citations
12.
Pinto, Mauro F., Fábio Lopes, Anna Maria Bianchi, et al.. (2021). Heart rate variability analysis for the identification of the preictal interval in patients with drug-resistant epilepsy. Scientific Reports. 11(1). 5987–5987. 21 indexed citations
13.
Henriques, J., et al.. (2021). A new approach for interpretability and reliability in clinical risk prediction: Acute coronary syndrome scenario. Artificial Intelligence in Medicine. 117. 102113–102113. 21 indexed citations
14.
Pinheiro, N, Ricardo Couceiro, J. Henriques, et al.. (2016). Can PPG be used for HRV analysis?. PubMed. 2016. 2945–2949. 109 indexed citations
15.
Paredes, S., Teresa Rocha, P. Carvalho, et al.. (2012). Cardiovascular event risk assessment — Fusion of individual risk assessment tools applied to the Portuguese population. International Conference on Information Fusion. 925–932. 1 indexed citations
16.
Muehlsteff, Jens, P. Carvalho, J. Henriques, Rui Pedro Paiva, & Harald Reiter. (2011). Cardiac status assessment with a multi-signal device for improved home-based congestive heart failure management. PubMed. 2011. 876–879. 10 indexed citations
17.
Kumar, Dinesh, P. Carvalho, Michel Antunes, Rui Pedro Paiva, & J. Henriques. (2010). Heart murmur classification with feature selection. PubMed. 2010. 4566–4569. 36 indexed citations
18.
Paredes, S., Teresa Rocha, P. Carvalho, et al.. (2010). Cardiovascular risk and status assessment. PubMed. 2008. 2872–2876. 3 indexed citations
19.
Kumar, Dinesh, P. Carvalho, Michel Antunes, & J. Henriques. (2009). Noise detection during heart sound recording. PubMed. 2009. 3119–23. 14 indexed citations
20.
Henriques, J., et al.. (1998). Multivariable Adaptive Control Using A Recurrent Neural Network. 4 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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