Raquel Sebastião

1.4k total citations · 1 hit paper
30 papers, 761 citations indexed

About

Raquel Sebastião is a scholar working on Cardiology and Cardiovascular Medicine, Cognitive Neuroscience and Artificial Intelligence. According to data from OpenAlex, Raquel Sebastião has authored 30 papers receiving a total of 761 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Cardiology and Cardiovascular Medicine, 7 papers in Cognitive Neuroscience and 7 papers in Artificial Intelligence. Recurrent topics in Raquel Sebastião's work include Data Stream Mining Techniques (7 papers), EEG and Brain-Computer Interfaces (6 papers) and Heart Rate Variability and Autonomic Control (6 papers). Raquel Sebastião is often cited by papers focused on Data Stream Mining Techniques (7 papers), EEG and Brain-Computer Interfaces (6 papers) and Heart Rate Variability and Autonomic Control (6 papers). Raquel Sebastião collaborates with scholars based in Portugal, Sweden and Australia. Raquel Sebastião's co-authors include João Gama, Pedro Pereira Rodrigues, Vítor Sencadas, Teresa Mendonça, Raquel C. Conceição, Rui Bernardes, Luis A. Pérez‐Jurado, Raquel Flores, Aldina Reis and Eduardo Silva and has published in prestigious journals such as Journal of Clinical Investigation, Advanced Functional Materials and Sensors.

In The Last Decade

Raquel Sebastião

27 papers receiving 735 citations

Hit Papers

On evaluating stream learning algorithms 2012 2026 2016 2021 2012 100 200 300
What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

  1. On evaluating stream learning algorithms
    2012 317 citations João Gama, Raquel Sebastião et al. profile →

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Raquel Sebastião Portugal 10 544 140 132 90 70 30 761
Chaoyi Pang China 15 268 0.5× 83 0.6× 129 1.0× 62 0.7× 22 0.3× 61 647
Soo-Yeon Ji United States 11 232 0.4× 177 1.3× 81 0.6× 38 0.4× 12 0.2× 56 507
Gen Li South Korea 11 210 0.4× 116 0.8× 108 0.8× 21 0.2× 21 0.3× 31 435
Jiangang Ma Australia 11 168 0.3× 77 0.6× 56 0.4× 76 0.8× 23 0.3× 29 468
Emad-ul-Haq Qazi Saudi Arabia 11 256 0.5× 244 1.7× 114 0.9× 122 1.4× 13 0.2× 28 631
Wen-Hoar Hsaio Taiwan 9 304 0.6× 21 0.1× 120 0.9× 62 0.7× 28 0.4× 10 544
Saichon Jaiyen Thailand 10 176 0.3× 76 0.5× 54 0.4× 69 0.8× 22 0.3× 28 345
S.D. Katebi Iran 13 303 0.6× 36 0.3× 49 0.4× 61 0.7× 25 0.4× 31 629
Jinlong Ji United States 10 287 0.5× 179 1.3× 57 0.4× 162 1.8× 10 0.1× 14 662
Sunitha Basodi United States 7 141 0.3× 137 1.0× 82 0.6× 68 0.8× 20 0.3× 17 428

Countries citing papers authored by Raquel Sebastião

Since Specialization
Citations

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

Fields of papers citing papers by Raquel Sebastião

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Raquel Sebastião

This figure shows the co-authorship network connecting the top 25 collaborators of Raquel Sebastião. A scholar is included among the top collaborators of Raquel Sebastião 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 Raquel Sebastião. Raquel Sebastião 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.
Brás, Susana, et al.. (2024). Pain Assessment Through Physiological Signals. 334–339. 1 indexed citations
2.
Brás, Susana, et al.. (2024). Decoding pain: prediction under different emotional contexts through physiological signals. International Journal of Data Science and Analytics. 19(3). 585–602.
3.
Sebastião, Raquel, et al.. (2024). A Review on Intelligent Systems for ECG Analysis: From Flexible Sensing Technology to Machine Learning. IEEE Journal of Biomedical and Health Informatics. 29(5). 3398–3413. 3 indexed citations
4.
Brás, Susana, et al.. (2024). Overcoming the Small Dataset Challenge in Healthcare. 497–502.
5.
Sebastião, Raquel, et al.. (2024). Wearable Devices for Respiratory Monitoring. Advanced Functional Materials. 34(45). 33 indexed citations
6.
Silva, Pedro & Raquel Sebastião. (2023). Using the Electrocardiogram for Pain Classification under Emotional Contexts. Sensors. 23(3). 1443–1443. 2 indexed citations
7.
Conceição, Raquel C., et al.. (2023). Biometric Recognition: A Systematic Review on Electrocardiogram Data Acquisition Methods. Sensors. 23(3). 1507–1507. 23 indexed citations
8.
Derntl, Birgit, et al.. (2023). Characterisation of Physiological Responses to Odours in Autism Spectrum Disorders: A Preliminary Study. Applied Sciences. 13(3). 1970–1970.
9.
Summavielle, Teresa, et al.. (2023). Multimodal Classification of Anxiety Based on Physiological Signals. Applied Sciences. 13(11). 6368–6368. 13 indexed citations
10.
Moniz, Nuno, et al.. (2023). Progress in Artificial Intelligence. Lecture notes in computer science. 4 indexed citations
11.
Moniz, Nuno, et al.. (2023). Progress in Artificial Intelligence. Lecture notes in computer science. 1 indexed citations
12.
Conceição, Raquel C., et al.. (2022). Initial Study Using Electrocardiogram for Authentication and Identification. Sensors. 22(6). 2202–2202. 6 indexed citations
13.
Sebastião, Raquel, et al.. (2022). Analysis of Physiological Responses during Pain Induction. Sensors. 22(23). 9276–9276. 3 indexed citations
14.
Sebastião, Raquel, Sandra Sorte, Joana Valente, Ana Isabel Miranda, & José Maria Fernandes. (2018). Detecting changes in the heart rate of firefighters to prevent smoke inhalation and health effects. Evolving Systems. 10(2). 295–304. 3 indexed citations
15.
Sebastião, Raquel, Sandra Sorte, Joana Valente, Ana Isabel Miranda, & José Maria Fernandes. (2016). Inhalation during fire experiments. 763–772. 2 indexed citations
16.
Sebastião, Raquel, et al.. (2012). Contributions to a decision support system based on depth of anesthesia signals. 1–6. 4 indexed citations
17.
Gama, João, et al.. (2010). Drift Severity Metric. European Conference on Artificial Intelligence. 1119–1120. 6 indexed citations
18.
Gama, João, Pedro Pereira Rodrigues, & Raquel Sebastião. (2009). Evaluating algorithms that learn from data streams. 1496–1500. 28 indexed citations
19.
Sebastião, Raquel & João Gama. (2007). Change detection in learning histograms from data streams. 112–123. 23 indexed citations
20.
Castelo‐Branco, Miguel, Raquel Sebastião, Aldina Reis, et al.. (2007). Visual phenotype in Williams-Beuren syndrome challenges magnocellular theories explaining human neurodevelopmental visual cortical disorders. Journal of Clinical Investigation. 117(12). 3720–9. 36 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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