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Antônio H. Ribeiro

2018–2026 年に発表

別表記
Antônio H Ribeiro
77
論文数
54,145
被引用数
21
h 指数
38
i10 指数

被引用数

Antônio H. Ribeiro の年別被引用数1985 年: 被引用 1 件1990 年: 被引用 2 件1992 年: 被引用 1 件1993 年: 被引用 2 件1995 年: 被引用 2 件1997 年: 被引用 1 件1998 年: 被引用 4 件1999 年: 被引用 1 件2000 年: 被引用 3 件2001 年: 被引用 1 件2002 年: 被引用 5 件2003 年: 被引用 4 件2004 年: 被引用 5 件2005 年: 被引用 2 件2006 年: 被引用 2 件2007 年: 被引用 8 件2008 年: 被引用 3 件2009 年: 被引用 8 件2010 年: 被引用 8 件2012 年: 被引用 4 件2013 年: 被引用 6 件2015 年: 被引用 2 件2016 年: 被引用 7 件2017 年: 被引用 1 件2018 年: 被引用 13 件2019 年: 被引用 50 件2020 年: 被引用 1,473 件2021 年: 被引用 2,957 件2022 年: 被引用 2,482 件2023 年: 被引用 2,752 件2024 年: 被引用 3,553 件2025 年: 被引用 2,190 件2026 年: 被引用 441 件2027 年: 被引用 1 件1986〜1989 年は被引用が無いため表示していません1991 年は被引用が無いため表示していません1994 年は被引用が無いため表示していません1996 年は被引用が無いため表示していません2011 年は被引用が無いため表示していません2014 年は被引用が無いため表示していません

引用元

国・地域

この著者を引用した国・地域の世界地図アメリカ合衆国: 引用元論文 4,338 件、この内訳の 23.7%ドイツ: 引用元論文 1,840 件、この内訳の 10%イギリス: 引用元論文 1,437 件、この内訳の 7.8%中国: 引用元論文 937 件、この内訳の 5.1%フランス: 引用元論文 764 件、この内訳の 4.2%カナダ: 引用元論文 657 件、この内訳の 3.6%イタリア: 引用元論文 594 件、この内訳の 3.3%スイス: 引用元論文 589 件、この内訳の 3.2%オランダ: 引用元論文 568 件、この内訳の 3.1%スペイン: 引用元論文 517 件、この内訳の 2.8%オーストラリア: 引用元論文 404 件、この内訳の 2.2%日本: 引用元論文 392 件、この内訳の 2.1%
0%23.7%その他 28.9%

機関

分野

  • Computer Science21.5%
  • Biochemistry, Genetics and Molecular Biology18.7%
  • Medicine18.3%
  • Engineering10.8%
  • Physics and Astronomy7.3%
  • Neuroscience7.1%
  • その他16.3%

トピック

  • ECG Monitoring and Analysis1.9%
  • EEG and Brain-Computer Interfaces1.5%
  • Neural dynamics and brain function1.3%
  • Protein Structure and Dynamics1.2%
  • Quantum Computing Algorithms and Architecture1%
  • Computational Drug Discovery Methods1%
  • その他92.1%

共著者

全論文

検索で開く
  1. SciPy 1.0: fundamental algorithms for scientific computing in Python

    著者: Pauli Virtanen, Ralf Gommers, Travis E. Oliphant, Matt Haberland, Tyler Reddy, David Cournapeau, Evgeni Burovski, Pearu Peterson, Warren Weckesser, Jonathan Bright, Stéfan J. van der Walt, Matthew Brett, Joshua Wilson, K. Jarrod Millman, Nikolay Mayorov, Andrew R. J. Nelson, Eric Jones, Robert Kern, Eric Larson, C J Carey, İlhan Polat, Yu Feng, Eric W. Moore, Jake VanderPlas, Denis Laxalde, Josef Perktold, Robert Cimrman, Ian Henriksen, E. A. Quintero, Charles R. Harris, Anne M. Archibald, Antônio H. Ribeiro, Fabian Pedregosa, Paul van Mulbregt, SciPy 1.0 Contributors, Aditya Vijaykumar, Alessandro Pietro Bardelli, Alex Rothberg, Andreas Hilboll, Andreas Kloeckner, Anthony Scopatz, Antony Lee, Ariel Rokem, C. Nathan Woods, Chad Fulton, Charles Masson, Christian Häggström, Clark Fitzgerald, David A. Nicholson, David R. Hagen, Dmitrii V. Pasechnik, Emanuele Olivetti, Eric Martin, Eric Wieser, Fabrice Silva, Felix Lenders, Florian Wilhelm, G. Young, Gavin A. Price, Gert-Ludwig Ingold, Gregory E. Allen, Gregory R. Lee, Hervé Audren, Irvin Probst, Jörg P. Dietrich, Jacob Silterra, James T Webber, Janko Slavič, Joel Nothman, Johannes Buchner, Johannes Kulick, Johannes L. Schönberger, José Vinícius de Miranda Cardoso, Joscha Reimer, Joseph Harrington, Juan Luis Cano Rodríguez, Juan Nunez-Iglesias, Justin Kuczynski, Kevin Tritz, Martin Thoma, Matthew Newville, Matthias Kümmerer, Maximilian Bolingbroke, Michael Tartre, Mikhail Pak, Nathaniel J. Smith, Nikolai Nowaczyk, Nikolay Shebanov, Oleksandr Pavlyk, Per A. Brodtkorb, Perry Lee, Robert T. McGibbon, Roman Feldbauer, Sam Lewis, Sam Tygier, Scott Sievert, Sebastiano Vigna, Stefan Peterson, Surhud More, Tadeusz Pudlik ほか 12 名 - Nature Methods 2020 被引用: 37,936

  2. SciPy 1.0: fundamental algorithms for scientific computing in Python

    著者: Pauli Virtanen, Ralf Gommers, Travis E. Oliphant, Matt Haberland, Tyler Reddy, David Cournapeau, Evgeni Burovski, Pearu Peterson, Warren Weckesser, Jonathan Bright, Stéfan van der Walt, Matthew Brett, Joshua Wilson, K. Jarrod Millman, Nikolay Mayorov, Andrew Nelson, Eric D. Jones, Robert Kern, Eric R. Larson, CJ Carey, İlhan Polat, Yu Feng, Eric Moore, Jake Vanderplas, Denis Laxalde, Josef Perktold, Robert Cimrman, Ian Henriksen, E. A. Quintero, C. R. Harris, Anne M. Archibald, Antônio H. Ribeiro, Fabian Pedregosa, Paul van Mulbregt, A. Vijaykumar - 2019 被引用: 11,586

  3. Automatic diagnosis of the 12-lead ECG using a deep neural network

    著者: Antônio H. Ribeiro, Manoel Horta Ribeiro, Gabriela M. M. Paixão, Derick M. Oliveira, Paulo R. Gomes, Jéssica A. Canazart, Milton P. S. Ferreira, Carl R. Andersson, Peter W. Macfarlane, Wagner Meira, Thomas B. Schön, Antonio Luiz P. Ribeiro - Nature Communications 2020 被引用: 785

  4. Author Correction: SciPy 1.0: fundamental algorithms for scientific computing in Python

    著者: SciPy 1.0 Contributors, Pauli Virtanen, Ralf Gommers, Travis E. Oliphant, Matt Haberland, Tyler Reddy, David Cournapeau, Evgeni Burovski, Pearu Peterson, Warren Weckesser, Jonathan Bright, Stéfan van der Walt, Matthew Brett, Joshua Wilson, K. Jarrod Millman, Nikolay Mayorov, Andrew Nelson, Eric D. Jones, Robert Kern, Eric R. Larson, CJ Carey, İlhan Polat, Yu Feng, Eric Moore, Jake Vanderplas, Denis Laxalde, Josef Perktold, Robert Cimrman, Ian Henriksen, E. A. Quintero, C. R. Harris, Anne M. Archibald, Antônio H. Ribeiro, Fabian Pedregosa, Paul van Mulbregt - Nature Methods 2020 被引用: 1,605

  5. CODE-test: An annotated 12-lead ECG dataset

    著者: Antônio H. Ribeiro, Manoel Horta Ribeiro, Gabriela M. M. Paixão, Derick M. de Oliveira, Paulo R. Gomes, Jéssica A. Canazart, Milton P. S. Ferreira, Carl R. Andersson, Peter W. Macfarlane, Wagner Meira Jr., Thomas B. Schön, Antônio Luiz P. Ribeiro - 2020 被引用: 756

  6. Detection of Left Ventricular Systolic Dysfunction From Electrocardiographic Images

    著者: Veer Sangha, Arash Aghajani Nargesi, Lovedeep Singh Dhingra, Akshay Khunte, Bobak J. Mortazavi, Antônio H. Ribeiro, Evgeniya Banina, Oluwaseun Adeola, 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 - Circulation 2023 被引用: 134

  7. Deep neural network-estimated electrocardiographic age as a mortality predictor

    著者: Emilly M. Lima, Antônio H. Ribeiro, Gabriela Paixão, Gabriela M. M. 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, Antônio Luiz Pinho Ribeiro, Antônio Luiz Pinho Ribeiro - Nature Communications 2021 被引用: 226

  8. Automated multilabel diagnosis on electrocardiographic images and signals

    著者: 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 - Nature Communications 2022 被引用: 113

  9. Development and validation of deep learning ECG-based prediction of myocardial infarction in emergency department patients

    著者: Stefan Gustafsson, Daniel Gedon, Erik Lampa, Antônio H. Ribeiro, Martin J. Holzmann, Thomas B. Schön, Johan Sundström - Scientific Reports 2022 被引用: 57

  10. SciPy 1.0-Fundamental Algorithms for Scientific Computing in Python

    著者: Pauli Virtanen, Ralf Gommers, Travis E. Oliphant, Matt Haberland, Tyler Reddy, David Cournapeau, Evgeni Burovski, Pearu Peterson, Warren Weckesser, Jonathan Bright, Stéfan van der Walt, Matthew Brett, Joshua Wilson, K. Jarrod Millman, Nikolay Mayorov, Andrew R. J. Nelson, Eric Jones, Robert Kern, Eric Larson, CJ Carey, Ilhan Polat, Yu Feng, Eric W. Moore, Jake VanderPlas, Denis Laxalde, Josef Perktold, Robert Cimrman, Ian Henriksen, E. A. Quintero, Charles R. Harris, Anne M. Archibald, Antônio H. Ribeiro, Fabian Pedregosa, Paul van Mulbregt, SciPy 1. 0 Contributors - arXiv (Cornell University), CoRR 2019 被引用: 67

  11. Atrial fibrillation risk prediction from the 12-lead electrocardiogram using digital biomarkers and deep representation learning

    著者: Shany Biton, Sheina Gendelman, Antônio H Ribeiro, Gabriela Miana, Carla Moreira, Antonio Luiz P Ribeiro, Joachim A. Behar - European Heart Journal - Digital Health 2021 被引用: 59

  12. Deep networks for system identification: A survey

    著者: Gianluigi Pillonetto, Aleksandr Y. Aravkin, Daniel Gedon, Lennart Ljung, Antônio H. Ribeiro, Thomas B. Schön - Automatica, Autom. 2024 被引用: 75

  13. Association Between Electrocardiographic Age and Cardiovascular Events in Community Settings: The Framingham Heart Study

    著者: Luísa Campos Caldeira Brant, Antônio H. Ribeiro, Marcelo Martins Pinto Filho, Jelena Kornej, Sarah R. Preis, Jessica L. Fetterman, Oseiwe Eromosele, Jared W. Magnani, Joanne M. Murabito, Martin G. Larson, Emelia J. Benjamin, Antônio Luiz Pinho Ribeiro, Honghuang Lin - Circulation Cardiovascular Quality and Outcomes 2023 被引用: 37

  14. Tele-electrocardiography and bigdata: The CODE (Clinical Outcomes in Digital Electrocardiography) study

    著者: Antônio Luiz Pinho Ribeiro, Antônio H. Ribeiro, Gabriela Paixão, Paulo R. Gomes, Manoel Horta Ribeiro, Antônio H. Ribeiro, Antônio H. Ribeiro, Jéssica A. Canazart, Derick M. Oliveira, Milton P. Ferreira, Emilly M. Lima, Jermana Lopes de Moraes, Nathalia Juliana Moreno Castro, Leonardo Bonisson Ribeiro, Peter W. Macfarlane - Journal of Electrocardiology 2019 被引用: 85

  15. Decoding 2.3 million ECGs: interpretable deep learning for advancing cardiovascular diagnosis and mortality risk stratification

    著者: Lei Lü, Tingting Zhu, Antônio H. Ribeiro, Lei Clifton, Erying Zhao, Jiandong Zhou, Antônio Luiz Pinho Ribeiro, Yuan‐Ting Zhang, David A. Clifton - European Heart Journal - Digital Health 2024 被引用: 24

  16. On the Smoothness of Nonlinear System Identification

    著者: Antônio H. Ribeiro, Koen Tiels, Jack Umenberger, Thomas B. Schön, Luis Antonio Aguirre - Automatica, Autom. 2020 被引用: 52

  17. CODE-15%: a large scale annotated dataset of 12-lead ECGs

    著者: Antônio H. Ribeiro, Gabriela Paixão, Emilly M. Lima, Manoel Horta Ribeiro, Marcelo Martins Pinto Filho, Paulo R. Gomes, Derick M. Oliveira, Wagner Meira, Thomas B. Schön, Antônio Luiz Pinho Ribeiro - 2021 被引用: 16

  18. Explainable AI associates ECG aging effects with increased cardiovascular risk in a longitudinal population study

    著者: Philip Hempel, Antônio H. Ribeiro, Marcus Vollmer, Theresa Bender, Marcus Dörr, Dagmar Krefting, Nicolai Spicher - npj Digital Medicine, npj Digit. Medicine 2025 被引用: 26

  19. End-to-end risk prediction of atrial fibrillation from the 12-Lead ECG by deep neural networks

    著者: Theogene Habineza, Antônio H. Ribeiro, Antônio H. Ribeiro, Daniel Gedon, Joachim A. Behar, Antônio H. Ribeiro, Antônio Luiz Pinho Ribeiro, Thomas B. Schön - Journal of Electrocardiology 2023 被引用: 20

  20. A comparison of artificial intelligence–enhanced electrocardiography approaches for the prediction of time to mortality using electrocardiogram images

    著者: Arunashis Sau, Boroumand Zeidaabadi, Konstantinos Patlatzoglou, Libor Pastika, Antônio H. Ribeiro, Éster Cerdeira Sabino, Nicholas S. Peters, Antônio Luiz Pinho Ribeiro, Daniel B. Kramer, Jonathan W. Waks, Fu Siong Ng - European Heart Journal - Digital Health 2024 被引用: 16

  21. Generalization Challenges in ECG Deep Learning: Insights from Dataset Characteristics and Attention Mechanism

    著者: Zhaojing Huang, Sarisha MacLachlan, Leping Yu, Luis Fernando Herbozo Contreras, Nhan Duy Truong, Antônio H. Ribeiro, Omid Kavehei - medRxiv 2023 被引用: 15

  22. CODE-15%: a large scale annotated dataset of 12-lead ECGs

    著者: Antônio H. Ribeiro, Gabriela M. M. Paixão, Emilly M. Lima, Manoel Horta Ribeiro, Marcelo M. Pinto Filho, Paulo R. Gomes, Derick M. de Oliveira, Wagner Meira Jr., Thomas B. Schön, Antônio Luiz P. Ribeiro - 2021 被引用: 6

  23. Prognostic Significance and Associations of Neural Network–Derived Electrocardiographic Features

    著者: Arunashis Sau, Antônio H. Ribeiro, Kathryn A. McGurk, Libor Pastika, Nikesh Bajaj, Mehak Gurnani, Ewa Sieliwończyk, Konstantinos Patlatzoglou, Maddalena Ardissino, Jun Yu Chen, Huiyi Wu, Xili Shi, Katerina Hnatkova, Sean L. Zheng, Annie Britton, Martin J. Shipley, Irena Andršová, Tomáš Novotný, Éster Cerdeira Sabino, Luana Giatti, Sandhi Maria Barreto, Jonathan W. Waks, Daniel B. Kramer, Danilo P. Mandic, Nicholas S. Peters, Declan P. O’Regan, Marek Malik, James S. Ware, Antônio Luiz Pinho Ribeiro, Fu Siong Ng - Circulation Cardiovascular Quality and Outcomes 2024 被引用: 8

  24. Artificial intelligence-enhanced electrocardiography for the identification of a sex-related cardiovascular risk continuum: a retrospective cohort study

    著者: Arunashis Sau, Ewa Sieliwończyk, Konstantinos Patlatzoglou, Libor Pastika, 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 - The Lancet Digital Health 2025 被引用: 21