Derick M. Oliveira
- Cardiology and Cardiovascular Medicine top 5%
- Cognitive Neuroscience top 10%
- Biomedical Engineering
- Pulmonary and Respiratory Medicine
- Artificial Intelligence top 10%
- Co-authors
- Antônio Luiz Pinho RibeiroAntônio H. RibeiroPaulo R. GomesWagner MeiraThomas B. SchönJéssica A. CanazartMilton P. FerreiraPeter W. Macfarlane
- Topics
- ECG Monitoring and Analysis (10 papers)Machine Learning in Healthcare (5 papers)Cardiac Arrhythmias and Treatments (4 papers)
- Journals
- CirculationNature CommunicationsSHILAP Revista de lepidopterología
- Partner nations
- BrazilUnited KingdomSweden
In The Last Decade
Derick M. Oliveira
15 papers receiving 737 citations
Hit Papers
Peers
Comparison fields: 5 of 84
- Cardiology and Cardiovascular Medicine 610
- Cognitive Neuroscience 231
- Biomedical Engineering 136
- Pulmonary and Respiratory Medicine 135
- Artificial Intelligence 103
Countries citing papers authored by Derick M. Oliveira
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
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
| # | Work | Indexed citations |
|---|---|---|
| 1 | 4 | |
| 2 | 0 | |
| 3 | 2 | |
| 4 | 129 | |
| 5 | 1 | |
| 6 | 3 | |
| 7 | 3 | |
| 8 | Annotated 12 lead ECG datasetbreakdown → | 534 |
| 9 | 1 | |
| 10 | 7 | |
| 11 | 2 | |
| 12 | 7 | |
| 13 | 0 | |
| 14 | 1 | |
| 15 | Automatic Diagnosis of the Short-Duration 12-Lead ECG using a Deep Neural Network: the CODE Study. | 5 |
| 16 | 45 | |
| 17 | 9 | |
| 18 | 2 | |
| 19 | Sporadic bovine leukosis. | 1 |
About Derick M. Oliveira
Derick M. Oliveira is a scholar working on Cardiology and Cardiovascular Medicine, Health Information Management and Artificial Intelligence, having authored 19 papers that have together received 756 indexed citations. Recurring topics across this work include ECG Monitoring and Analysis (10 papers), Machine Learning in Healthcare (5 papers) and Cardiac Arrhythmias and Treatments (4 papers). The work is most often cited by research in Cardiology and Cardiovascular Medicine (610 citations), Health Informatics (35 citations) and Cognitive Neuroscience (231 citations). Derick M. Oliveira has collaborated with scholars based in Brazil, United Kingdom and Sweden. Frequent co-authors include Antônio Luiz Pinho Ribeiro, Antônio H. Ribeiro, Paulo R. Gomes, Wagner Meira, Thomas B. Schön, Jéssica A. Canazart, Milton P. Ferreira, Peter W. Macfarlane, Carl R. Andersson and Emilly M. Lima. Their work appears in journals such as Circulation, Nature Communications and SHILAP Revista de lepidopterología.
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.