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Paul A. Friedman

Active 1972–2026

Also published as
Paul A Friedman
259
Papers
30,497
Citations
97
h-index
235
i10-index

Citations

Citations per year for Paul A. Friedman1972: 3 citations1973: 5 citations1974: 5 citations1975: 4 citations1976: 3 citations1977: 5 citations1978: 14 citations1979: 7 citations1980: 18 citations1981: 10 citations1982: 14 citations1983: 8 citations1984: 11 citations1985: 14 citations1986: 7 citations1987: 10 citations1988: 11 citations1989: 21 citations1990: 39 citations1991: 76 citations1992: 48 citations1993: 46 citations1994: 36 citations1995: 34 citations1996: 27 citations1997: 31 citations1998: 23 citations1999: 24 citations2000: 20 citations2001: 24 citations2002: 36 citations2003: 39 citations2004: 40 citations2005: 51 citations2006: 75 citations2007: 89 citations2008: 103 citations2009: 101 citations2010: 113 citations2011: 126 citations2012: 144 citations2013: 108 citations2014: 122 citations2015: 119 citations2016: 90 citations2017: 133 citations2018: 90 citations2019: 333 citations2020: 772 citations2021: 917 citations2022: 996 citations2023: 981 citations2024: 1,765 citations2025: 1,156 citations2026: 134 citations

Citation sources

Countries

World map of the countries and regions citing this authorUnited States: 2,875 citing papers, 26.7% of this breakdownUnited Kingdom: 785 citing papers, 7.3% of this breakdownChina: 647 citing papers, 6% of this breakdownItaly: 510 citing papers, 4.7% of this breakdownGermany: 490 citing papers, 4.6% of this breakdownCanada: 489 citing papers, 4.5% of this breakdownNetherlands: 416 citing papers, 3.9% of this breakdownFrance: 332 citing papers, 3.1% of this breakdownAustralia: 305 citing papers, 2.8% of this breakdownSpain: 265 citing papers, 2.5% of this breakdownJapan: 243 citing papers, 2.3% of this breakdownSwitzerland: 224 citing papers, 2.1% of this breakdown
0%26.7%Other 29.5%

Institutions

Fields

  • Medicine79.7%
  • Biochemistry, Genetics and Molecular Biology6.9%
  • Computer Science3.3%
  • Engineering2.3%
  • Neuroscience1.9%
  • Health Professions1.6%
  • Other4.3%

Topics

  • Atrial Fibrillation Management and Outcomes7.4%
  • ECG Monitoring and Analysis6%
  • Cardiac electrophysiology and arrhythmias5.3%
  • Cardiac Arrhythmias and Treatments5.2%
  • Cardiac pacing and defibrillation studies5.1%
  • Artificial Intelligence in Healthcare and Education3%
  • Other68%

Coauthors

All papers

Open in search
  1. An artificial intelligence-enabled ECG algorithm for the identification of patients with atrial fibrillation during sinus rhythm: a retrospective analysis of outcome prediction

    Authors: Zachi I. Attia, Peter A. Noseworthy, Francisco López-Jiménez, Samuel J. Asirvatham, Abhishek Deshmukh, Bernard J. Gersh, Rickey E. Carter, Xiaoxi Yao, Alejandro A. Rabinstein, Brad J Erickson, Suraj Kapa, Paul A. Friedman - The Lancet 2019 cited by 1,536

  2. Screening for cardiac contractile dysfunction using an artificial intelligence–enabled electrocardiogram

    Authors: Zachi I. Attia, Suraj Kapa, Francisco López-Jiménez, Paul M. McKie, Dorothy J. Ladewig, Gaurav Satam, Patricia A. Pellikka, Maurice Enriquez‐Sarano, Peter A. Noseworthy, Thomas M. Munger, Samuel J. Asirvatham, Christopher G. Scott, Rickey E. Carter, Paul A. Friedman - Nature Medicine 2018 cited by 1,316

  3. Artificial intelligence-enhanced electrocardiography in cardiovascular disease management

    Authors: Konstantinos C. Siontis, Peter A. Noseworthy, Zachi I. Attia, Paul A. Friedman - Nature Reviews Cardiology 2021 cited by 864

  4. Artificial intelligence–enabled electrocardiograms for identification of patients with low ejection fraction: a pragmatic, randomized clinical trial

    Authors: Xiaoxi Yao, David Rushlow, Jonathan Inselman, Rozalina G. McCoy, Tom D. Thacher, Emma Behnken, Matthew Bernard, Steven Rosas, Abdulla Akfaly, Artika Misra, Paul Molling, Joseph Krien, Randy Foss, Barbara Barry, Konstantinos C. Siontis, Suraj Kapa, Patricia A. Pellikka, Francisco López-Jiménez, Zachi I. Attia, Nilay D. Shah, Paul A. Friedman, Peter A. Noseworthy - Nature Medicine 2021 cited by 394

  5. Detection of Hypertrophic Cardiomyopathy Using a Convolutional Neural Network-Enabled Electrocardiogram

    Authors: Wei-Yin Ko, Konstantinos C. Siontis, Zachi I. Attia, Rickey E. Carter, Suraj Kapa, Steve R. Ommen, Steven J. Demuth, Michael J. Ackerman, Bernard J. Gersh, Adelaide M. Arruda‐Olson, Jeffrey B. Geske, Samuel J. Asirvatham, Francisco López-Jiménez, Rick A. Nishimura, Paul A. Friedman, Peter A. Noseworthy - Journal of the American College of Cardiology 2020 cited by 400

  6. Age and Sex Estimation Using Artificial Intelligence From Standard 12-Lead ECGs

    Authors: Zachi I. Attia, Paul A. Friedman, Peter A. Noseworthy, Francisco López-Jiménez, Dorothy J. Ladewig, Gaurav Satam, Patricia A. Pellikka, Thomas M. Munger, Samuel J. Asirvatham, Christopher G. Scott, Rickey E. Carter, Suraj Kapa - Circulation Arrhythmia and Electrophysiology 2019 cited by 454

  7. Application of artificial intelligence to the electrocardiogram

    Authors: Zachi I. Attia, David Harmon, Elijah R. Behr, Paul A. Friedman - European Heart Journal 2021 cited by 302

  8. Artificial intelligence-guided screening for atrial fibrillation using electrocardiogram during sinus rhythm: a prospective non-randomised interventional trial

    Authors: Peter A. Noseworthy, Zachi I. Attia, Emma Behnken, Rachel Giblon, Katherine A. Bews, Sijia Liu, Tara Gosse, Zachery D Linn, Yihong Deng, Jun Yin, Bernard J. Gersh, Jonathan Graff‐Radford, Alejandro A. Rabinstein, Konstantinos C. Siontis, Paul A. Friedman, Xiaoxi Yao - The Lancet 2022 cited by 239

  9. Electrocardiogram screening for aortic valve stenosis using artificial intelligence

    Authors: Michal Cohen‐Shelly, Zachi I. Attia, Paul A. Friedman, Saki Ito, Benjamin A Essayagh, Wei-Yin Ko, Dennis H. Murphree, Héctor I. Michelena, Maurice Enriquez‐Sarano, Rickey E. Carter, Patrick W. Johnson, Peter A. Noseworthy, Francisco López-Jiménez, Jae K. Oh - European Heart Journal 2021 cited by 245

  10. Use of Artificial Intelligence in Improving Outcomes in Heart Disease: A Scientific Statement From the American Heart Association

    Authors: Antonis A. Armoundas, Sanjiv M. Narayan, Donna K. Arnett, Kayte Spector‐Bagdady, Derrick Bennett, Leo Anthony Celi, Paul A. Friedman, Michael H. Gollob, Jennifer L. Hall, Anne E. Kwitek, Elle Lett, Bijoy K. Menon, Katherine A. Sheehan, Salah S. Al‐Zaiti - Circulation 2024 cited by 264

  11. Prospective evaluation of smartwatch-enabled detection of left ventricular dysfunction

    Authors: Zachi I. Attia, David Harmon, Jennifer Dugan, Lukas Manka, Francisco López-Jiménez, Amir Lerman, Konstantinos C. Siontis, Peter A. Noseworthy, Xiaoxi Yao, Eric Klavetter, John Halamka, Samuel J. Asirvatham, Rita Khan, Rickey E. Carter, Bradley C. Leibovich, Paul A. Friedman - Nature Medicine 2022 cited by 146

  12. Artificial Intelligence in Cardiology: Present and Future

    Authors: Francisco López-Jiménez, Zachi I. Attia, Adelaide M. Arruda‐Olson, Rickey E. Carter, Panithaya Chareonthaitawee, Hayan Jouni, Suraj Kapa, Amir Lerman, Christina Luong, José R. Medina‐Inojosa, Peter A. Noseworthy, Patricia A. Pellikka, Margaret M. Redfield, Véronique L. Roger, Gurpreet S. Sandhu, Conor Senecal, Paul A. Friedman - Mayo Clinic Proceedings 2020 cited by 275

  13. Assessing and Mitigating Bias in Medical Artificial Intelligence

    Authors: Peter A. Noseworthy, Zachi I. Attia, LaPrincess C. Brewer, Sharonne N. Hayes, Xiaoxi Yao, Suraj Kapa, Paul A. Friedman, Francisco López-Jiménez - Circulation Arrhythmia and Electrophysiology 2020 cited by 213

  14. Development and Validation of a Deep-Learning Model to Screen for Hyperkalemia From the Electrocardiogram

    Authors: Conner Galloway, Alexander Valys, Jacqueline Baras Shreibati, Daniel L. Treiman, Frank L. Petterson, Vivek P. Gundotra, D.J. Albert, Zachi I. Attia, Rickey E. Carter, Samuel J. Asirvatham, Michael J. Ackerman, Peter A. Noseworthy, John Dillon, Paul A. Friedman - JAMA Cardiology 2019 cited by 313

  15. Artificial Intelligence–Enhanced Electrocardiogram for the Early Detection of Cardiac Amyloidosis

    Authors: Martha Grogan, Francisco López-Jiménez, Michal Cohen‐Shelly, Angela Dispenzieri, Zachi I. Attia, Omar F. Abou Ezzedine, Grace Lin, Suraj Kapa, Daniel D. Borgeson, Paul A. Friedman, Dennis H. Murphree - Mayo Clinic Proceedings 2021 cited by 146

  16. Artificial Intelligence and Machine Learning in Arrhythmias and Cardiac Electrophysiology

    Authors: Albert Feeny, Mina K. Chung, Anant Madabhushi, Zachi I. Attia, Maja Čikeš, Marjan Firouznia, Paul A. Friedman, Matthew M. Kalscheur, Suraj Kapa, Sanjiv M. Narayan, Peter A. Noseworthy, Rod Passman, Marco Pérez, Nicholas S. Peters, Jonathan P. Piccini, Khaldoun G. Tarakji, Suma A. Thomas, Natalia A. Trayanova, Mintu P. Turakhia, Paul J. Wang - Circulation Arrhythmia and Electrophysiology 2020 cited by 210

  17. Clinical Impact of Residual Leaks Following Left Atrial Appendage Occlusion

    Authors: Mohamad Alkhouli, Chengan Du, Ammar M. Killu, Trevor Simard, Peter A. Noseworthy, Paul A. Friedman, Jeptha P. Curtis, James V. Freeman, David R. Holmes - JACC. Clinical electrophysiology 2022 cited by 172

  18. Fine-Tuning Large Language Models for Specialized Use Cases

    Authors: DM Anisuzzaman, Jeffrey G. Malins, Paul A. Friedman, Zachi I. Attia - Mayo Clinic Proceedings Digital Health 2024 cited by 106

  19. Efficacy and Safety of an Extravascular Implantable Cardioverter–Defibrillator

    Authors: Paul A. Friedman, Francis Murgatroyd, Lucas V.A. Boersma, Jaimie Manlucu, David O’Donnell, Bradley P. Knight, Nicolas Clémenty, Christophe Leclercq, Anish K. Amin, Béla Merkely, Ulrika Birgersdotter‐Green, Joseph Yat‐Sun Chan, Mauro Biffi, Reinoud E. Knops, Greg Engel, Ignacio Muñoz Carvajal, Laurence M. Epstein, Venkata Sagi, Jens Brock Johansen, Maciej Sterliński, Clemens Steinwender, Troy Hounshell, Richard Abben, Amy Thompson, Christopher Wiggenhorn, Sarah Willey, Ian Crozier - New England Journal of Medicine 2022 cited by 227

  20. Prospective validation of a deep learning electrocardiogram algorithm for the detection of left ventricular systolic dysfunction

    Authors: Zachi I. Attia, Suraj Kapa, Xiaoxi Yao, Francisco Lopez‐Jimenez, Tarun L. Mohan, Patricia A. Pellikka, Rickey E. Carter, Nilay D. Shah, Paul A. Friedman, Peter A. Noseworthy - Journal of Cardiovascular Electrophysiology 2019 cited by 194

  21. Artificial Intelligence-Enabled ECG Algorithm to Identify Patients With Left Ventricular Systolic Dysfunction Presenting to the Emergency Department With Dyspnea

    Authors: Demilade Adedinsewo, Rickey E. Carter, Zachi I. Attia, Patrick W. Johnson, Anthony H. Kashou, Jennifer Dugan, Michael Albus, Johnathan M. Sheele, Fernanda Bellolio, Paul A. Friedman, Francisco López-Jiménez, Peter A. Noseworthy - Circulation Arrhythmia and Electrophysiology 2020 cited by 161

  22. Artificial intelligence in cardiovascular medicine: clinical applications

    Authors: Thomas F. Lüscher, Florian A. Wenzl, Fabrizio D’Ascenzo, Paul A. Friedman, Charalambos Antoniades - European Heart Journal 2024 cited by 125

  23. Cardiac Pacemakers: Function, Troubleshooting, and Management

    Authors: Siva K. Mulpuru, Malini Madhavan, Christopher J. McLeod, Yong‐Mei Cha, Paul A. Friedman - Journal of the American College of Cardiology 2017 cited by 289

  24. Wearables, telemedicine, and artificial intelligence in arrhythmias and heart failure: Proceedings of the European Society of Cardiology Cardiovascular Round Table

    Authors: Christophe Leclercq, Henning Witt, Gerhard Hindricks, Rodolphe P. Katra, Dave Albert, Andréa Belliger, Martín Cowie, Thomas Deneke, Paul A. Friedman, Mehdiyar Haschemi, Trudie Lobban, Isabelle Lordereau, Michael V. McConnell, Leonardo Rapallini, Eigil Samset, Mintu P. Turakhia, Jagmeet P. Singh, Emma Svennberg, Manish Wadhwa, Franz Weidinger - EP Europace 2022 cited by 105