Derick M. Oliveira

1.3k total citations · 1 hit paper
19 papers, 756 citations indexed

About

Derick M. Oliveira is a scholar working on Cardiology and Cardiovascular Medicine, Artificial Intelligence and Pulmonary and Respiratory Medicine. According to data from OpenAlex, Derick M. Oliveira has authored 19 papers receiving a total of 756 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Cardiology and Cardiovascular Medicine, 6 papers in Artificial Intelligence and 3 papers in Pulmonary and Respiratory Medicine. Recurrent topics in Derick M. Oliveira's work include ECG Monitoring and Analysis (10 papers), Machine Learning in Healthcare (5 papers) and Cardiac Arrhythmias and Treatments (4 papers). Derick M. Oliveira is often cited by papers focused on ECG Monitoring and Analysis (10 papers), Machine Learning in Healthcare (5 papers) and Cardiac Arrhythmias and Treatments (4 papers). Derick M. Oliveira collaborates with scholars based in Brazil, United Kingdom and Sweden. Derick M. Oliveira's co-authors include Antônio H. Ribeiro, Antônio Luiz Pinho Ribeiro, Paulo R. Gomes, Wagner Meira, Thomas B. Schön, Peter W. Macfarlane, Jéssica A. Canazart, Milton P. Ferreira, Carl R. Andersson and Gabriela Paixão and has published in prestigious journals such as Circulation, Nature Communications and SHILAP Revista de lepidopterología.

In The Last Decade

Derick M. Oliveira

15 papers receiving 737 citations

Hit Papers

Annotated 12 lead ECG dataset 2020 2026 2022 2024 2020 100 200 300 400 500

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Derick M. Oliveira Brazil 6 610 231 136 135 103 19 756
Paulo R. Gomes Brazil 9 668 1.1× 241 1.0× 139 1.0× 140 1.0× 100 1.0× 33 855
Jéssica A. Canazart Brazil 5 495 0.8× 208 0.9× 117 0.9× 123 0.9× 82 0.8× 7 603
Milton P. Ferreira Brazil 3 478 0.8× 207 0.9× 117 0.9× 120 0.9× 79 0.8× 6 585
Joel EW Koh Singapore 7 296 0.5× 181 0.8× 138 1.0× 80 0.6× 66 0.6× 8 529
Erick Andres Perez Alday United States 13 731 1.2× 308 1.3× 118 0.9× 205 1.5× 93 0.9× 43 905
Jianwei Zheng China 11 432 0.7× 242 1.0× 84 0.6× 120 0.9× 73 0.7× 32 603
Aurore Lyon Netherlands 12 498 0.8× 99 0.4× 86 0.6× 57 0.4× 31 0.3× 23 593
Zhaohan Xiong New Zealand 9 344 0.6× 138 0.6× 74 0.5× 51 0.4× 66 0.6× 13 524
Caiyun Ma China 8 548 0.9× 341 1.5× 123 0.9× 121 0.9× 73 0.7× 22 637

Countries citing papers authored by Derick M. Oliveira

Since Specialization
Citations

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

Fields of papers citing papers by Derick M. Oliveira

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Derick M. Oliveira. 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 Derick M. Oliveira. The network helps show where Derick M. Oliveira may publish in the future.

Co-authorship network of co-authors of Derick M. Oliveira

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

All Works

19 of 19 papers shown
1.
Oliveira, Derick M., et al.. (2024). Evaluation of patients with implantable cardioverter‐defibrillator in a Latin American tertiary center. Journal of Cardiovascular Electrophysiology. 35(4). 675–684. 4 indexed citations
2.
Ventura, Nina, Nicola Coppola, Derick M. Oliveira, et al.. (2022). An Interpretable Classification Model for Identifying Individuals with Attention Defict Hyperactivity Disorder. 66–73.
3.
Paixão, Gabriela, et al.. (2022). Associação entre Bloqueio Atrioventricular e Mortalidade em Pacientes de Atenção Primária: O Estudo CODE. Arquivos Brasileiros de Cardiologia. 119(4). 564–571. 2 indexed citations
4.
Paixão, Gabriela, Emilly M. Lima, Paulo R. Gomes, et al.. (2021). Electrocardiographic Predictors of Mortality: Data from a Primary Care Tele-Electrocardiography Cohort of Brazilian Patients. SHILAP Revista de lepidopterología. 2(4). 449–458. 1 indexed citations
5.
Lima, Emilly M., Antônio H. Ribeiro, Gabriela Paixão, et al.. (2021). Deep neural network-estimated electrocardiographic age as a mortality predictor. Nature Communications. 12(1). 5117–5117. 129 indexed citations
6.
Paixão, Gabriela, et al.. (2021). Ventricular pre‐excitation in primary care patients: Evaluation of the risk of mortality. Journal of Cardiovascular Electrophysiology. 32(5). 1290–1295. 3 indexed citations
7.
Oliveira, Derick M., et al.. (2021). Automated classification of cardiology diagnoses based on textual medical reports. Journal of Information and Data Management. 12(1). 3 indexed citations
8.
Ribeiro, Antônio H., Antônio H. Ribeiro, Derick M. Oliveira, et al.. (2020). Annotated 12 lead ECG dataset. Figshare. 534 indexed citations breakdown →
9.
Paixão, Gabriela, Antônio H. Ribeiro, Emilly M. Lima, et al.. (2020). ECG-AGE FROM ARTIFICIAL INTELLIGENCE: A NEW PREDICTOR FOR MORTALITY? THE CODE (CLINICAL OUTCOMES IN DIGITAL ELECTROCARDIOGRAPHY) STUDY. Journal of the American College of Cardiology. 75(11). 3672–3672. 1 indexed citations
10.
Paixão, Gabriela, Paulo R. Gomes, Emilly M. Lima, et al.. (2020). Evaluation of Mortality in Atrial Fibrillation: Clinical Outcomes in Digital Electrocardiography (CODE) Study. Global Heart. 15(1). 48–48. 7 indexed citations
11.
Oliveira, Derick M., Antônio H. Ribeiro, João Pedrosa, et al.. (2020). Explaining black-box automatic electrocardiogram classification to cardiologists. Computing in cardiology.
12.
Oliveira, Derick M., et al.. (2020). Automated classification of cardiology diagnoses based on textual medical reports. 185–192. 2 indexed citations
13.
Ribeiro, Antônio H., Manoel Horta Ribeiro, Gabriela Paixão, et al.. (2020). Pre-trained deep neural network models for ECG automatic abnormality detection. Figshare. 1 indexed citations
14.
Meira, Wagner, Antônio Luiz Pinho Ribeiro, Derick M. Oliveira, & Antônio H. Ribeiro. (2020). Contextualized interpretable machine learning for medical diagnosis. Communications of the ACM. 63(11). 56–58. 7 indexed citations
15.
Ribeiro, Antônio H., Antônio H. Ribeiro, Gabriela Paixão, et al.. (2019). Automatic Diagnosis of the Short-Duration 12-Lead ECG using a Deep Neural Network: the CODE Study.. arXiv (Cornell University). 5 indexed citations
16.
Ribeiro, Antônio Luiz Pinho, Antônio H. Ribeiro, Gabriela Paixão, et al.. (2019). Tele-electrocardiography and bigdata: The CODE (Clinical Outcomes in Digital Electrocardiography) study. Journal of Electrocardiology. 57. S75–S78. 45 indexed citations
17.
Paixão, Gabriela, Emilly M. Lima, Paulo R. Gomes, et al.. (2019). Evaluation of mortality in bundle branch block patients from an electronic cohort: Clinical Outcomes in Digital Electrocardiography (CODE) study. Journal of Electrocardiology. 57. S56–S60. 9 indexed citations
18.
Paixão, Gabriela, Paulo R. Gomes, Derick M. Oliveira, et al.. (2018). Abstract 16594: Clinical Outcomes in Digital Electrocardiography: Evaluation of Mortality in Atrial Fibrillation (Code Study). Circulation. 138(Suppl_1). 2 indexed citations
19.
Santos, José Rômulo Soares dos, et al.. (2011). Sporadic bovine leukosis.. 18. 787–789. 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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