Sanjiv M. Narayan

Also affiliated with Cardiovascular Institute of the South, Stanford Medicine, University of California, Berkeley, Stanford University

Medicine

Pilot corpus only

This score is computed over theSindex pilot corpus and does not cover the full scientific literature. Scores are relative to papers we have ingested — papers, authors, and institutions outside the pilot are not represented. Methodology.

Top 100%percentile

0Author DataRank

Indexed papers

0in pilot corpus

datarank_citation_only_1hop_v6· scope data_onlyMethodology

Papers

Driven by 66 papers. Top paper: “Machine Learning–Enabled Multimodal Fusion of Intra-Atrial and Body Surface Signals in Prediction of Atrial Fibrillation Ablation Outcomes”.

Machine Learning–Enabled Multimodal Fusion of Intra-Atrial and Body Surface Signals in Prediction of Atrial Fibrillation Ablation Outcomes

Circulation Arrhythmia and Electrophysiology(2022)10.1161/circep.122.010850

N/A

2.0DataRank · unranked

78 citations

Orod Razeghi, Ridhima Kapoor, Mahmood Alhusseini, Muhammad Fazal, Albert J. Rogers +7 more

Race, Sex, and Age Disparities in the Performance of ECG Deep Learning Models Predicting Heart Failure

Circulation Heart Failure(2023)10.1161/circheartfailure.123.010879

N/A

1.9DataRank · unranked

49 citations

J. Weston Hughes, Albert J. Rogers, Guson Kang, Sanjiv M. Narayan, Euan A. Ashley +2 more

Tachycardia-induced metabolic rewiring as a driver of contractile dysfunction

Nature Biomedical Engineering(2023)10.1038/s41551-023-01134-x

N/A

0.884DataRank · unranked

32 citations

Arianne Caudal, Yu Liu, Nikoloz Gorgodze, Hao Zhang, Chi Keung Lam +13 more

Arrhythmia Patterns in Patients on Ibrutinib

Frontiers in Cardiovascular Medicine(2022)10.3389/fcvm.2021.792310

N/A

0.789DataRank · unranked

14 citations

Ridhima Kapoor, Paul Cheng, Albert J. Rogers, Sanjiv M. Narayan, Paul J. Wang +5 more

State of the Art of Artificial Intelligence in Clinical Electrophysiology in 2025: A Scientific Statement of the European Heart Rhythm Association (EHRA) of the ESC, the Heart Rhythm Society (HRS), and the ESC Working Group on E-Cardiology

EP Europace(2025)10.1093/europace/euaf071

N/A

0.631DataRank · unranked

66 citations

Janet K. Han, Enrico G. Caiani, Sandy Engelhardt, Sabine Ernst, Paul A. Friedman +23 more

Machine learning of electrophysiological signals for the prediction of ventricular arrhythmias: systematic review and examination of heterogeneity between studies

EBioMedicine(2023)10.1016/j.ebiom.2023.104462

N/A

0.590DataRank · unranked

50 citations

Brototo Deb, Samuel Ruipérez-Campillo, Neil K. Bhatia, Paul Clopton, Arthur A.M. Wilde +4 more

Immediate and Delayed Response of Simulated Human Atrial Myocytes to Clinically-Relevant Hypokalemia

Frontiers in Physiology(2021)10.3389/fphys.2021.651162

N/A

0.441DataRank · unranked

9 citations

Gary R. Mirams, Albert J. Rogers, Sanjiv M. Narayan, Wayne R. Giles, Michael Clerx

Competing risks of monomorphic vs. non-monomorphic ventricular arrhythmias in primary prevention implantable cardioverter–defibrillator recipients: Global Electrical Heterogeneity and Clinical Outcomes (GEHCO) study

EP Europace(2024)10.1093/europace/euae127

N/A

0.379DataRank · unranked

8 citations

Jonathan W. Waks, Christine Tompkins, Albert J. Rogers, Ashkan Ehdaie, Charles A. Henrikson +10 more

Three dimensional reconstruction to visualize atrial fibrillation activation patterns on curved atrial geometry

PLoS ONE(2021)10.1371/journal.pone.0249873

N/A

0.320DataRank · unranked

4 citations

Orvil Collart, Prasanth Ganesan, Albert J. Rogers, Mahmood Alhusseini, Miguel Rodrigo +3 more

Successful cardiac resynchronization therapy reduces negative septal work in patient-specific models of dyssynchronous heart failure

PLoS Computational Biology(2024)10.1371/journal.pcbi.1012150

N/A

0.292DataRank · unranked

6 citations

Adarsh Krishnamurthy, Christopher Villongco, Kevin P. Vincent, David E. Krummen, Sanjiv M. Narayan +5 more

Modeling heart rhythm using human engineered heart tissues

Nature Protocols(2025)10.1038/s41596-025-01217-w

N/A

0.269DataRank · unranked

5 citations

Arianne Caudal, Yu Liu, Sanjiv M. Narayan, Joseph C. Wu, Chengyi Tu

Deep Learning–Based Continuous QT Monitoring to Identify High-Risk Prolongation Events After Class III Antiarrhythmic Initiation

Circulation(2025)10.1161/circulationaha.125.077494

N/A

0.215DataRank · unranked

3 citations

Sabyasachi Bandyopadhyay, Rishi Trivedi, Kelly Brennan, Xichong Liu, Prasanth Ganesan +10 more

Automatic left atrial segmentation from cardiac CT using computer graphics imaging and deep learning

European Heart Journal(2022)10.1093/eurheartj/ehac544.472

N/A

0.135DataRank · unranked

1 citations

B Deb, Prasanth Ganesan, Albert J. Rogers, Samuel Ruipérez-Campillo, Paul Clopton +6 more

Tyrosine kinase inhibitor–associated ventricular arrhythmias: a case series and review of literature

Journal of Interventional Cardiac Electrophysiology(2022)10.1007/s10840-022-01400-z

N/A

0DataRank · unranked

20 citations

Chen Wei, Katherine Lee Chuy, Kifah Hussain, Sofia Gomez, Shayena Shah +13 more

Stochastic Termination of Spiral Wave Dynamics in Cardiac Tissue

Frontiers in Network Physiology(2022)10.3389/fnetp.2022.809532

N/A

0DataRank · unranked

19 citations

David E. Krummen, Tina Baykaner, Junaid Zaman, Alan Donsky, Vijay Swarup +3 more

Future Directions for Mapping Atrial Fibrillation

Arrhythmia & Electrophysiology Review(2022)10.15420/aer.2021.52

N/A

0DataRank · unranked

7 citations

Andrew A. Grace, Sanjiv M. Narayan, Junaid Zaman

Opportunities and challenges in heart rhythm research: Rationale and development of an electrophysiology collaboratory

Heart Rhythm(2022)10.1016/j.hrthm.2022.08.004

N/A

0DataRank · unranked

3 citations

Kenneth C. Bilchick, Sanjiv M. Narayan, Mina K. Chung, Kevin L. Thomas, Kenneth R. Laurita +18 more

Predicting acute termination and non-termination during ablation of human atrial fibrillation using quantitative indices

Frontiers in Physiology(2022)10.3389/fphys.2022.939350

N/A

0DataRank · unranked

2 citations

Michael Reiß, Miguel Rodrigo, Prasanth Ganesan, Sanjiv M. Narayan, Wouter‐Jan Rappel +1 more

Machine learned clusters explain heterogeneity in outcomes from map-guided ablation of Atrial Fibrillation results from the large PROspective STanford AF Registry (ProSTAR)

European Heart Journal(2022)10.1093/eurheartj/ehac544.474

N/A

0DataRank · unranked

1 citations

Albert J. Rogers, N K Bhatia, Tina Baykaner, Mintu P. Turakhia, Paul Clopton +6 more

Machine learning of adipose tissue in atrial fibrillation

Heart Rhythm(2022)10.1016/j.hrthm.2022.08.027

N/A

0DataRank · unranked

1 citations

Sanjiv M. Narayan, Tina Baykaner

Artificial intelligence to reduce artifact in cardiac electrophysiological signals

European Heart Journal(2022)10.1093/eurheartj/ehac544.422

N/A

0DataRank · unranked

0 citations

B Deb, Renjian Feng, Prasanth Ganesan, Fleur V.Y. Tjong, Paul Clopton +3 more

Novel electrogram featurization reveals a spectrum of response to ablation from atrial tachycardia to types of atrial fibrillation

European Heart Journal(2022)10.1093/eurheartj/ehac544.471

N/A

0DataRank · unranked

0 citations

Albert J. Rogers, B Deb, Renhai Feng, Samuel Ruipérez-Campillo, Fleur V.Y. Tjong +5 more

Spatiotemporal signatures of response to atrial fibrillation ablation

European Heart Journal(2022)10.1093/eurheartj/ehac544.601

N/A

0DataRank · unranked

0 citations

Albert J. Rogers, B Deb, Renhai Feng, M Rodrigo, Samuel Ruipérez-Campillo +6 more

A deep learning-based electrocardiogram risk score for long term cardiovascular death and disease

npj Digital Medicine(2023)10.1038/s41746-023-00916-6

N/A

0DataRank · unranked

62 citations

James Tooley, Jessica Torres Soto, Anna Ostropolets, Tim Poterucha, Matthew Kai Christensen +12 more

Atrial fibrillation ablation outcome prediction with a machine learning fusion framework incorporating cardiac computed tomography

Journal of Cardiovascular Electrophysiology(2023)10.1111/jce.15890

N/A

0DataRank · unranked

31 citations

Ridhima Kapoor, Mahmood Alhusseini, Muhammad Fazal, Siyi Tang, Caroline H. Roney +9 more

Dynamic prediction of malignant ventricular arrhythmias using neural networks in patients with an implantable cardioverter-defibrillator

EBioMedicine(2023)10.1016/j.ebiom.2023.104937

N/A

0DataRank · unranked

30 citations

Samuel Ruipérez-Campillo, Laura Alvarez-Florez, Brototo Deb, Erik J. Bekkers, Cornelis P. Allaart +8 more

Quantifying a spectrum of clinical response in atrial tachyarrhythmias using spatiotemporal synchronization of electrograms

EP Europace(2023)10.1093/europace/euad055

N/A

0DataRank · unranked

19 citations

Brototo Deb, Ruibin Feng, Miguel Rodrigo, Samuel Ruipérez-Campillo, Albert J. Rogers +7 more

Comparative arrhythmia patterns among patients on tyrosine kinase inhibitors

Journal of Interventional Cardiac Electrophysiology(2023)10.1007/s10840-023-01575-z

N/A

0DataRank · unranked

8 citations

Muhammad Fazal, Alexander Loh, Ridhima Kapoor, Sofia Gomez, Shayena Shah +9 more

Arrhythmias including atrial fibrillation and congenital heart disease in Kleefstra syndrome: a possible epigenetic link

EP Europace(2023)10.1093/europace/euae003

N/A

0DataRank · unranked

7 citations

Tanja Zdolšek Draksler, Arianne Bouman, Joost Kummeling, Matthew T. Wheeler, Chloe Reuter +9 more

Segmenting computed tomograms for cardiac ablation using machine learning leveraged by domain knowledge encoding

Frontiers in Cardiovascular Medicine(2023)10.3389/fcvm.2023.1189293

N/A

0DataRank · unranked

4 citations

Brototo Deb, Prasanth Ganesan, Fleur V.Y. Tjong, Albert J. Rogers, Samuel Ruipérez-Campillo +9 more

Sleep apnea independently predicts incident atrial fibrillation in the young - Implications for targeted screening

European Heart Journal(2023)10.1093/eurheartj/ehad655.450

N/A

0DataRank · unranked

1 citations

Sunil K. Vasireddi, N K Bhatia, Albert J. Rogers, Paul Clopton, Sanjiv M. Narayan +1 more

Ambient circulation surrounding an ablation catheter tip affects ablation lesion characteristics

Journal of Cardiovascular Electrophysiology(2023)10.1111/jce.15874

N/A

0DataRank · unranked

1 citations

Paul J. Wang, Meghedi Babakhanian, Sanjiv M. Narayan, Mohan Viswanathan, Nitish Badhwar +4 more

Safety of transvenous cardiac defibrillator and magnetic titanium beads system for gastroesophageal reflux disease: a case report

Journal of Interventional Cardiac Electrophysiology(2023)10.1007/s10840-023-01604-x

N/A

0DataRank · unranked

0 citations

S Greif, Muhammad Fazal, Chen Wei, Sofia Gomez, Shayena Shah +6 more

Novel scoring system for predicting mortality in patients with ventricular arrhythmias: Analysis from a 24,000 patient cohort

European Heart Journal(2023)10.1093/eurheartj/ehad655.638

N/A

0DataRank · unranked

0 citations

Albert J. Rogers, Fleur V.Y. Tjong, Sonali Somani, Yaanik Desai, Zahra Azizi +5 more

Predicting success of atrial fibrillation ablation: comparing machine learning approaches of intracardiac electrograms

European Heart Journal(2023)10.1093/eurheartj/ehad655.517

N/A

0DataRank · unranked

0 citations

Prasanth Ganesan, Brototo Deb, Samuel Ruipérez-Campillo, H J Chang, Paul Clopton +6 more

Advanced Electroanatomic Mapping: Current and Emerging Approaches

Current Treatment Options in Cardiovascular Medicine(2024)10.1007/s11936-024-01034-6

N/A

0DataRank · unranked

23 citations

Roy M. John, Sanjiv M. Narayan

Atrial fibrillation nomenclature, definitions, and mechanisms: Position paper from the international Working Group of the Signal Summit

Heart Rhythm(2024)10.1016/j.hrthm.2024.11.012

N/A

0DataRank · unranked

21 citations

André G. Kléber, Sanjiv M. Narayan, Edward J Ciaccio, Olaf Doessel, Olivier Bernus +11 more

Novel Domain Knowledge-Encoding Algorithm Enables Label-Efficient Deep Learning for Cardiac CT Segmentation to Guide Atrial Fibrillation Treatment in a Pilot Dataset

Diagnostics(2024)10.3390/diagnostics14141538

N/A

0DataRank · unranked

3 citations

Ruibin Feng, Brototo Deb, Fleur V.Y. Tjong, Albert J. Rogers, Samuel Ruipérez-Campillo +9 more

Visions for digital integrated cardiovascular care: HRS Digital Health Committee perspectives

Cardiovascular Digital Health Journal(2024)10.1016/j.cvdhj.2024.02.003

N/A

0DataRank · unranked

3 citations

Elaine Y. Wan, Jason G. Andrade, Jennifer N. Avari Silva, Neal K. Bhatia, Thomas Deneke +15 more

Successful Cardiac Resynchronization Therapy Reduces Negative Septal Work in Patient-Specific Models of Dyssynchronous Heart Failure

bioRxiv (Cold Spring Harbor Laboratory)(2024)10.1101/2024.05.13.593804

N/A

0DataRank · unranked

3 citations

Adarsh Krishnamurthy, Christopher Villongco, Kevin P. Vincent, David E. Krummen, Sanjiv M. Narayan +5 more

Learning AI for busy clinicians: Staying ahead

Heart Rhythm(2024)10.1016/j.hrthm.2024.08.009

N/A

0DataRank · unranked

0 citations

Emma Svennberg, Sanjiv M. Narayan

Addressing contemporary threats in anonymised healthcare data using privacy engineering

npj Digital Medicine(2025)10.1038/s41746-025-01520-6

N/A

0DataRank · unranked

23 citations

Nitin Kohli, Megan Martin, Sanjiv M. Narayan

Identification of cardiac wall motion abnormalities in diverse populations by deep learning of the electrocardiogram

npj Digital Medicine(2025)10.1038/s41746-024-01407-y

N/A

0DataRank · unranked

7 citations

Neal K. Bhatia, Sabyasachi Bandyopadhyay, James Tooley, Rayan Ansari, Vyom Thakkar +13 more

Identification of atrial myopathy and atrial fibrillation recurrence after ablation using 3D left atrial phasic strain from retrospective gated computed tomography

European Heart Journal - Imaging Methods and Practice(2025)10.1093/ehjimp/qyaf027

N/A

0DataRank · unranked

4 citations

Orod Razeghi, Tiffany M G Baptiste, Angela Lee, José Alonso Solís-Lemus, Cristóbal Rodero +11 more

Reducing diverse sources of noise in ventricular electrical signals using variational autoencoders

Expert Systems with Applications(2025)10.1016/j.eswa.2025.130185

N/A

0DataRank · unranked

1 citations

Alain Ryser, Thomas M. Sutter, Brototo Deb, Ruibin Feng, Prasanth Ganesan +7 more

International survey of cardiac device clinic staff determining patient-perceived challenges with remote monitoring

Acta cardiologica. Supplementum(2025)10.1080/00015385.2025.2510704

N/A

0DataRank · unranked

1 citations

Neal Ferrick, Elaine Y. Wan, Sanjiv M. Narayan, Aileen M. Ferrick, Satish R. Raj +1 more

Predicting dementia in patients with atrial fibrillation using machine learning of a large multimodal registry

EP Europace(2025)10.1093/europace/euaf085.294

N/A

0DataRank · unranked

0 citations

Sabyasachi Bandyopadhyay, Prasanth Ganesan, H J Chang, Renhai Feng, Kathryn Brennan +5 more

Comparing artificial-intelligence based tracking of atrial fibrillation waves with clinical phenotypes in patients undergoing ablation

EP Europace(2025)10.1093/europace/euaf085.251

N/A

0DataRank · unranked

0 citations

R Abad Juan, Samuel Ruipérez-Campillo, Miguel Rodrigo Bort, Sanjiv M. Narayan, Suhaas Anbazhakan

Designing artificial-intelligence based tracking of atrial fibrillation waves to identify ablation response

EP Europace(2025)10.1093/europace/euaf085.319

N/A

0DataRank · unranked

0 citations

Rendon Juan, Samuel Ruipérez-Campillo, Miguel Rodrigo Bort, Sanjiv M. Narayan, Suhaas Anbazhakan

Artificial intelligence and real-time directional guidance in arrhythmia management

Heart Rhythm O2(2025)10.1016/j.hroo.2025.08.025

N/A

0DataRank · unranked

0 citations

Sanjiv M. Narayan

Deep Learning-Based Approach to Emergency Department Chest Pain Risk Stratification by ECG

EMJ Cardiology(2025)10.33590/emjcardiol/kkid8224

N/A

0DataRank · unranked

0 citations

J. Weston Hughes, Guson Kang, James Zou, Albert J. Rogers, Sanjiv M. Narayan +3 more

Physics-Inspired Diffusion Probabilistic Models for Improved Denoising in Intracardiac Time Series

PubMed(2025)10.1109/embc58623.2025.11252692

N/A

0DataRank · unranked

0 citations

Moritz Rau, Prasanth Ganesan, Kelly Brennan, Ruibin Feng, Sabyasachi Bandyopadhyay +4 more

Integration of novel monitoring devices with machine learning technology for scalable cardiovascular management

Nature Reviews Cardiology(2020)10.1038/s41569-020-00445-9

N/A

0DataRank · unranked

229 citations

Albert J. Rogers, Kipp W. Johnson, Zhen Wang, Mintu P. Turakhia, Jonathan L. Halperin +2 more

Long-term, ambulatory 12-lead ECG from a single non-standard lead using perceptual reconstruction

medRxiv(2025)10.64898/2025.12.17.25342224

N/A

0DataRank · unranked

0 citations

I-Min Chiu, Rayan Ansari, Sheng Liu, J. Weston Hughes, Alexander C. Perino +8 more

Machine Learned Cellular Phenotypes in Cardiomyopathy Predict Sudden Death

Circulation Research(2020)10.1161/circresaha.120.317345

N/A

0DataRank · unranked

54 citations

Anojan Selvalingam, Mahmood Alhusseini, David E. Krummen, Cesare Corrado, Firas Abuzaid +11 more

Termination of persistent atrial fibrillation by ablating sites that control large atrial areas

EP Europace(2020)10.1093/europace/euaa018

N/A

0DataRank · unranked

17 citations

Albert J. Rogers, David E. Krummen, Samir Hossainy, William H. Sauer, John M. Miller +11 more

Populations of in silico myocytes and tissues reveal synergy of multiatrial‐predominant K+‐current block in atrial fibrillation

British Journal of Pharmacology(2020)10.1111/bph.15198

N/A

0DataRank · unranked

37 citations

Alex Fogli Iseppe, Wayne R. Giles, Sanjiv M. Narayan, Henggui Zhang, Andrew G. Edwards +3 more

Re-evaluating the multiple wavelet hypothesis for atrial fibrillation

Heart Rhythm(2020)10.1016/j.hrthm.2020.07.009

N/A

0DataRank · unranked

2 citations

Sanjiv M. Narayan, Prasanth Ganesan

Deep neural network trained on surface ECG improves diagnostic accuracy of prior myocardial infarction over Q wave analysis

European Heart Journal(2020)10.1093/ehjci/ehaa946.3440

N/A

0DataRank · unranked

3 citations

Joseph Tung, James Tooley, Neal K. Bhatia, Guson Kang, Mahmood Alhusseini +7 more

Getting in Contact With Atrial Fibrillation or Not

JACC. Clinical electrophysiology(2020)10.1016/j.jacep.2019.10.023

N/A

0DataRank · unranked

1 citations

Sanjiv M. Narayan, Atul Verma

Complete transmural epicardial ablation reduces organized areas in atrial fibrillation

European Heart Journal(2020)10.1093/ehjci/ehaa946.0623

N/A

0DataRank · unranked

0 citations

Narendra Nath Ravi, Neal K. Bhatia, Rajan Shah, Terrence Pong, Joseph Tung +8 more

Competing risks in patients with primary prevention implantable cardioverter-defibrillators: Global Electrical Heterogeneity and Clinical Outcomes study

Heart Rhythm(2021)10.1016/j.hrthm.2021.03.006

N/A

0DataRank · unranked

18 citations

Kazi T. Haq, Christine Tompkins, Albert J. Rogers, Ashkan Ehdaie, Aron Bender +9 more

Non-invasive Spatial Mapping of Frequencies in Atrial Fibrillation: Correlation With Contact Mapping

Frontiers in Physiology(2021)10.3389/fphys.2020.611266

N/A

0DataRank · unranked

13 citations

Kian Waddell, Sarah Magee, Albert J. Rogers, Mahmood Alhusseini, Ismael Hernández‐Romero +4 more

Three-dimensional transmural mapping to guide ventricular arrhythmia ablation

Heart Rhythm(2021)10.1016/j.hrthm.2021.05.003

N/A

0DataRank · unranked

1 citations

Nitish Badhwar, Sanjiv M. Narayan

Extent of atrium with 1:1 electrogram activation predicts response to ablation of atrial fibrillation

EP Europace(2021)10.1093/europace/euab116.260

N/A

0DataRank · unranked

0 citations

Neal K. Bhatia, Rogers Aj, David E. Krummen, PENG NAN WANG, Paul Clopton +3 more

Atrial fibrillation signatures on intracardiac electrograms identified by deep learning

Computers in Biology and Medicine(2022)10.1016/j.compbiomed.2022.105451

N/A

0DataRank · unranked

26 citations

Mahmood Alhusseini, Albert J. Rogers, Chayakrit Krittanawong, Sumiran Thakur, Ruibin Feng +3 more