Antônio H. Ribeiro

16.5k total citations · 1 hit paper
48 papers, 1.2k citations indexed

About

Antônio H. Ribeiro is a scholar working on Cardiology and Cardiovascular Medicine, Artificial Intelligence and Pulmonary and Respiratory Medicine. According to data from OpenAlex, Antônio H. Ribeiro has authored 48 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 37 papers in Cardiology and Cardiovascular Medicine, 12 papers in Artificial Intelligence and 9 papers in Pulmonary and Respiratory Medicine. Recurrent topics in Antônio H. Ribeiro's work include ECG Monitoring and Analysis (28 papers), Phonocardiography and Auscultation Techniques (9 papers) and Cardiovascular Function and Risk Factors (7 papers). Antônio H. Ribeiro is often cited by papers focused on ECG Monitoring and Analysis (28 papers), Phonocardiography and Auscultation Techniques (9 papers) and Cardiovascular Function and Risk Factors (7 papers). Antônio H. Ribeiro collaborates with scholars based in Sweden, Brazil and United States. Antônio H. Ribeiro's co-authors include Antônio Luiz Pinho Ribeiro, Thomas B. Schön, Derick M. Oliveira, Paulo R. Gomes, Wagner Meira, Jéssica A. Canazart, Peter W. Macfarlane, Milton P. Ferreira, Carl R. Andersson and Emilly M. Lima and has published in prestigious journals such as Circulation, Nature Communications and SHILAP Revista de lepidopterología.

In The Last Decade

Antônio H. Ribeiro

41 papers receiving 1.1k citations

Hit Papers

align trajectories

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.

Annotated 12 lead ECG dataset

2020 534 citations Antônio H. Ribeiro, Derick M. Oliveira et al. Figshare profile →

Peers

Countries citing papers authored by Antônio H. Ribeiro

Since Specialization

Citations

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

Fields of papers citing papers by Antônio H. Ribeiro

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Antônio H. Ribeiro. 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 Antônio H. Ribeiro. The network helps show where Antônio H. Ribeiro may publish in the future.

Co-authorship network of co-authors of Antônio H. Ribeiro

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

All Works

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20 of 20 papers shown

#	Work	Indexed citations
1	Evaluation of AI ECG age in the prediction of cardiovascular diseases and risk factors: Exploratory data analysis 2025 ·Journal of Electrocardiology ·(unknown), Antônio H. Ribeiro, (unknown), (unknown), (unknown)	0
2	Artificial intelligence-enhanced electrocardiography for the identification of a sex-related cardiovascular risk continuum: a retrospective cohort study 2025 ·The Lancet Digital Health ·Arunashis Sau, (unknown), (unknown), (unknown), Kathryn A. McGurk, Antônio H. Ribeiro, Antônio Luiz Pinho Ribeiro, Jennifer E. Ho, Nicholas S. Peters, James S. Ware, Upasana Tayal, Daniel B. Kramer, Jonathan W. Waks, Fu Siong Ng	8
3	Artificial intelligence-enhanced electrocardiography derived body mass index as a predictor of future cardiometabolic disease 2024 ·npj Digital Medicine ·(unknown), Arunashis Sau, (unknown), (unknown), Antônio H. Ribeiro, Kathryn A. McGurk, Sadia Khan, Danilo P. Mandic, William R. Scott, James S. Ware, Nicholas S. Peters, Antônio Luiz Pinho Ribeiro, Daniel B. Kramer, Jonathan W. Waks, Fu Siong Ng	9
4	Transferability and Adversarial Training in Automatic Classification of the Electrocardiogram with Deep Learning 2024 ·Computing in cardiology ·Anders Eriksson, Thomas B. Schön, Antônio H. Ribeiro	1
5	Deep networks for system identification: A survey 2024 ·Automatica ·Gianluigi Pillonetto, Aleksandr Y. Aravkin, (unknown), Lennart Ljung, Antônio H. Ribeiro, Thomas B. Schön	24
6	Association of lifestyle with deep learning predicted electrocardiographic age 2023 ·Frontiers in Cardiovascular Medicine ·Cuili Zhang, Xiao Miao, Biqi Wang, Robert J. Thomas, Antônio H. Ribeiro, Luisa C Brant, Antônio Luiz Pinho Ribeiro, Honghuang Lin	7
7	Screening for Chagas disease from the electrocardiogram using a deep neural network 2023 ·PLoS neglected tropical diseases ·(unknown), (unknown), Thomas B. Schön, Cláudia Di Lorenzo Oliveira, Clareci Silva Cardoso, Ariela Mota Ferreira, Luana Giatti, Sandhi Maria Barreto, Éster Cerdeira Sabino, Antônio Luiz Pinho Ribeiro, Antônio H. Ribeiro	5
8	Overparameterized Linear Regression Under Adversarial Attacks 2023 ·IEEE Transactions on Signal Processing ·Antônio H. Ribeiro, Thomas B. Schön	5
9	Invertible Kernel PCA With Random Fourier Features 2023 ·IEEE Signal Processing Letters ·(unknown), Antônio H. Ribeiro, (unknown), Thomas B. Schön	8
10	Detection of Left Ventricular Systolic Dysfunction From Electrocardiographic Images 2023 ·Circulation ·Veer Sangha, Arash Aghajani Nargesi, Lovedeep Singh Dhingra, Akshay Khunte, Bobak J. Mortazavi, Antônio H. Ribeiro, (unknown), (unknown), Nadish Garg, Cynthia Brandt, Edward J. Miller, Antônio Luiz Pinho Ribeiro, Eric J. Velazquez, Luana Giatti, Sandhi Maria Barreto, Murilo Foppa, Neal Yuan, David Ouyang, Harlan M. Krumholz, Rohan Khera	63
11	Heart age gap estimated by explainable advanced electrocardiography is associated with cardiovascular risk factors and survival 2023 ·European Heart Journal - Digital Health ·Thomas Lindow, Maren Maanja, Erik B. Schelbert, Antônio H. Ribeiro, Antônio Luiz Pinho Ribeiro, (unknown), Martin Ugander	9
12	Automated multilabel diagnosis on electrocardiographic images and signals 2022 ·Nature Communications ·Veer Sangha, Bobak J. Mortazavi, Adrian D. Haimovich, Antônio H. Ribeiro, Cynthia Brandt, Daniel Jacoby, Wade L. Schulz, Harlan M. Krumholz, Antônio Luiz Pinho Ribeiro, Rohan Khera	64
13	Development and validation of deep learning ECG-based prediction of myocardial infarction in emergency department patients 2022 ·Scientific Reports ·Stefan Gustafsson, (unknown), Erik Lampa, Antônio H. Ribeiro, Martin J. Holzmann, Thomas B. Schön, Johan Sundström	28
14	Deep neural network-estimated electrocardiographic age as a mortality predictor 2021 ·Nature Communications ·Emilly M. Lima, Antônio H. Ribeiro, Gabriela Paixão, Marcelo Martins Pinto Filho, Paulo R. Gomes, Derick M. Oliveira, Éster Cerdeira Sabino, Bruce Bartholow Duncan, Luana Giatti, Sandhi Maria Barreto, Wagner Meira, Thomas B. Schön, Antônio Luiz Pinho Ribeiro	129
15	SPATIAL-TEMPORAL DEEP-LEARNING FOR AUTOMATIC IDENTIFICATION OF RHEUMATIC HEART DISEASE IN ECHOCARDIOGRAPHIC SCREENING IMAGES - DATA FROM THE PROVAR-ATMOSPHERE STUDY 2021 ·Journal of the American College of Cardiology ·Bruno Ramos Nascimento, (unknown), Erickson R. Nascimento, Gisele L. Pappa, Craig Sable, Andrea Beaton, Kaciane Oliveira, (unknown), Paulo R. Gomes, (unknown), (unknown), (unknown), Antônio H. Ribeiro, (unknown)	0
16	Annotated 12 lead ECG dataset breakdown → 2020 ·Figshare ·Antônio H. Ribeiro, (unknown), Derick M. Oliveira, Paulo R. Gomes, Jéssica A. Canazart, Milton P. Ferreira, Carl R. Andersson, Peter W. Macfarlane, Wagner Meira, Thomas B. Schön, Antônio Luiz Pinho Ribeiro	534
17	ECG-AGE FROM ARTIFICIAL INTELLIGENCE: A NEW PREDICTOR FOR MORTALITY? THE CODE (CLINICAL OUTCOMES IN DIGITAL ELECTROCARDIOGRAPHY) STUDY 2020 ·Journal of the American College of Cardiology ·Gabriela Paixão, Antônio H. Ribeiro, Emilly M. Lima, (unknown), Manoel Horta Ribeiro, Derick M. Oliveira, Paulo R. Gomes, (unknown), Wagner Meira, Thomas B. Schön, Antônio Luiz Pinho Ribeiro	1
18	The trade-off between long-term memory and smoothness for recurrent networks. 2019 ·arXiv (Cornell University) ·Antônio H. Ribeiro, Koen Tiels, Luís A. Aguirre, Thomas B. Schön	1
19	Automatic Diagnosis of the Short-Duration 12-Lead ECG using a Deep Neural Network: the CODE Study. 2019 ·arXiv (Cornell University) ·Antônio H. Ribeiro, Gabriela Paixão, Derick M. Oliveira, Paulo R. Gomes, Jéssica A. Canazart, Milton P. Ferreira, Carl R. Andersson, Peter W. Macfarlane, Wagner Meira, Thomas B. Schön, Antônio Luiz Pinho Ribeiro	5
20	Tele-electrocardiography and bigdata: The CODE (Clinical Outcomes in Digital Electrocardiography) study 2019 ·Journal of Electrocardiology ·Antônio Luiz Pinho Ribeiro, Antônio H. Ribeiro, Gabriela Paixão, Paulo R. Gomes, Jéssica A. Canazart, Derick M. Oliveira, Milton P. Ferreira, Emilly M. Lima, Jermana Lopes de Moraes, (unknown), Leonardo Bonisson Ribeiro, Peter W. Macfarlane	45

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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