Ricardo Couceiro

998 total citations
45 papers, 681 citations indexed

About

Ricardo Couceiro is a scholar working on Cardiology and Cardiovascular Medicine, Cognitive Neuroscience and Surgery. According to data from OpenAlex, Ricardo Couceiro has authored 45 papers receiving a total of 681 indexed citations (citations by other indexed papers that have themselves been cited), including 23 papers in Cardiology and Cardiovascular Medicine, 18 papers in Cognitive Neuroscience and 16 papers in Surgery. Recurrent topics in Ricardo Couceiro's work include EEG and Brain-Computer Interfaces (18 papers), Heart Rate Variability and Autonomic Control (14 papers) and ECG Monitoring and Analysis (10 papers). Ricardo Couceiro is often cited by papers focused on EEG and Brain-Computer Interfaces (18 papers), Heart Rate Variability and Autonomic Control (14 papers) and ECG Monitoring and Analysis (10 papers). Ricardo Couceiro collaborates with scholars based in Portugal, Netherlands and Germany. Ricardo Couceiro's co-authors include P. Carvalho, J. Henriques, Jens Muehlsteff, Rui Pedro Paiva, Michel Antunes, N Pinheiro, Henrique Madeira, Lino Gonçalves, César Teixeira and Matthew Harris and has published in prestigious journals such as PLoS ONE, Scientific Reports and IEEE Access.

In The Last Decade

Ricardo Couceiro

42 papers receiving 663 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Ricardo Couceiro Portugal 15 410 291 185 169 73 45 681
Anirban Dutta Choudhury India 14 432 1.1× 330 1.1× 144 0.8× 126 0.7× 75 1.0× 43 606
Marcello Bracale Italy 13 385 0.9× 225 0.8× 40 0.2× 176 1.0× 45 0.6× 20 742
Jongshill Lee South Korea 11 156 0.4× 192 0.7× 77 0.4× 73 0.4× 33 0.5× 36 473
Viswam Nathan United States 16 300 0.7× 354 1.2× 114 0.6× 183 1.1× 235 3.2× 55 843
Nandakumar Selvaraj United States 15 515 1.3× 565 1.9× 248 1.3× 98 0.6× 52 0.7× 39 813
Ko Keun Kim South Korea 17 739 1.8× 920 3.2× 183 1.0× 298 1.8× 32 0.4× 30 1.2k
Gabriela Postolache Portugal 13 231 0.6× 313 1.1× 110 0.6× 59 0.3× 26 0.4× 55 561
Gih Sung Chung South Korea 13 235 0.6× 367 1.3× 68 0.4× 129 0.8× 30 0.4× 21 529
Eric S. Winokur United States 8 276 0.7× 352 1.2× 112 0.6× 73 0.4× 19 0.3× 9 424
Heike Leutheuser Germany 13 107 0.3× 240 0.8× 30 0.2× 102 0.6× 41 0.6× 46 502

Countries citing papers authored by Ricardo Couceiro

Since Specialization
Citations

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

Fields of papers citing papers by Ricardo Couceiro

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ricardo Couceiro

This figure shows the co-authorship network connecting the top 25 collaborators of Ricardo Couceiro. A scholar is included among the top collaborators of Ricardo Couceiro 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 Ricardo Couceiro. Ricardo Couceiro 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.
Durães, João, Ricardo Couceiro, Chan‐Tong Lam, et al.. (2023). On the accuracy of code complexity metrics: A neuroscience-based guideline for improvement. Frontiers in Neuroscience. 16. 1065366–1065366. 7 indexed citations
2.
Castelhano, João, Isabel Catarina Duarte, Ricardo Couceiro, et al.. (2022). Software Bug Detection Causes a Shift From Bottom-Up to Top-Down Effective Connectivity Involving the Insula Within the Error-Monitoring Network. Frontiers in Human Neuroscience. 16. 788272–788272. 3 indexed citations
3.
4.
Castelhano, João, et al.. (2021). iReview: an Intelligent Code Review Evaluation Tool using Biofeedback. 476–485. 8 indexed citations
5.
Monteiro‐Soares, Matilde, Rosineide Marques Ribas, Augusto César de Andrade Mota, et al.. (2017). Diabetic foot ulcer development risk classifications’ validation: A multicentre prospective cohort study. Diabetes Research and Clinical Practice. 127. 105–114. 27 indexed citations
6.
Rocha, Bruno, Luís Mendes, Ricardo Couceiro, et al.. (2017). Detection of explosive cough events in audio recordings by internal sound analysis. PubMed. 2017. 2761–2764. 9 indexed citations
7.
Simões, Marco, Bruno Direito, João L. M. P. de Lima, et al.. (2017). Correlated alpha activity with the facial expression processing network in a simultaneous EEG-fMRI experiment. PubMed. 2017. 2562–2565. 1 indexed citations
8.
Pinheiro, N, Ricardo Couceiro, J. Henriques, et al.. (2016). Can PPG be used for HRV analysis?. PubMed. 2016. 2945–2949. 109 indexed citations
9.
Rocha, Teresa, S. Paredes, Ramona Cabiddu, et al.. (2016). A Tool For ECG Analysis as a Module of a Tele-Monitoring System. International Journal of Online and Biomedical Engineering (iJOE). 12(4). 64–67. 3 indexed citations
10.
Couceiro, Ricardo, Ioanna Chouvarda, Nicos Maglaveras, et al.. (2016). Detection of different types of noise in lung sounds. PubMed. 2016. 5977–5980. 3 indexed citations
11.
Couceiro, Ricardo, et al.. (2015). A low-complex multi-channel methodology for noise detection in phonocardiogram signals. PubMed. 2015. 5936–5939. 6 indexed citations
12.
Couceiro, Ricardo, P. Carvalho, Rui Pedro Paiva, et al.. (2015). Assessment of cardiovascular function from multi-Gaussian fitting of a finger photoplethysmogram. Physiological Measurement. 36(9). 1801–1825. 48 indexed citations
13.
Vaz, Pedro G., J. Henriques, P. Carvalho, & Ricardo Couceiro. (2014). An automatic method for motion artifacts detection in photoplethysmographic signals referenced with electrocardiography data. 2007. 704–708. 3 indexed citations
14.
Couceiro, Ricardo, P. Carvalho, Rui Pedro Paiva, et al.. (2012). Multi-Gaussian fitting for the assessment of left ventricular ejection time from the Photoplethysmogram. PubMed. 2012. 3951–3954. 16 indexed citations
15.
Muehlsteff, Jens, Christian Eickholt, P. Carvalho, et al.. (2012). Pulse Arrival Time as surrogate for systolic blood pressure changes during impending neurally mediated syncope. PubMed. 2012. 4283–4286. 10 indexed citations
16.
Paiva, Rui Pedro, P. Carvalho, Ricardo Couceiro, et al.. (2012). Beat-to-beat systolic time-interval measurement from heart sounds and ECG. Physiological Measurement. 33(2). 177–194. 32 indexed citations
17.
Couceiro, Ricardo, P. Carvalho, Rui Pedro Paiva, J. Henriques, & Jens Muehlsteff. (2012). Detection of motion artifacts in photoplethysmographic signals based on time and period domain analysis. PubMed. 2012. 2603–2606. 24 indexed citations
18.
Couceiro, Ricardo, P. Carvalho, Rui Pedro Paiva, et al.. (2011). Beat-to-beat cardiac output inference using heart sounds. PubMed. 2011. 5657–5661. 2 indexed citations
19.
Carvalho, P., Rui Pedro Paiva, Ricardo Couceiro, et al.. (2010). Comparison of systolic time interval measurement modalities for portable devices. PubMed. 2010. 606–609. 31 indexed citations
20.
Couceiro, Ricardo, P. Carvalho, J. Henriques, et al.. (2008). Detection of Atrial Fibrillation using model-based ECG analysis. Proceedings - International Conference on Pattern Recognition. 1–5. 83 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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