Tina Baykaner

Also affiliated with Keck Hospital of USC, 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 2%percentile

2.4Author DataRank

Indexed papers

1in pilot corpus

datarank_citation_only_1hop_v6· scope data_onlyMethodology

Why this DataRank?

An author's DataRank is the sum of the DataRanks of all 1 indexed paper attributed to them. A prolific author with many moderate-impact papers can outrank one with a single high-impact paper.

Author scores recompute whenever paper DataRanks are refreshed, so this number lags the underlying paper scores by at most one batch run.

Read the full methodology →

The highest-impact dataset this researcher has shared, ranked by DataRank — the single contribution doing the most to lift their data-sharing standing.

Contemporary trends in cardiac electrophysiology procedures in the United States, and impact of a global pandemic

Heart Rhythm O2(2022)10.1016/j.hroo.2022.12.005

Top 9%

2.4DataRank

Top 9%48 citations

Tina Baykaner, T. Jared Bunch, Jonathan P. Piccini, Andrea M. Russo, Wendy S. Tzou +3 more

Papers

Driven by 26 papers — median percentile 91. Top paper: “Contemporary trends in cardiac electrophysiology procedures in the United States, and impact of a global pandemic”.

Contemporary trends in cardiac electrophysiology procedures in the United States, and impact of a global pandemic

Heart Rhythm O2(2022)10.1016/j.hroo.2022.12.005

Top 9%

2.4DataRank

Top 9%48 citations

Tina Baykaner, T. Jared Bunch, Jonathan P. Piccini, Andrea M. Russo, Wendy S. Tzou +3 more

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

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

The New Normal

JACC. Clinical electrophysiology(2020)10.1016/j.jacep.2020.03.009

N/A

0DataRank · unranked

2 citations

Tina Baykaner, Duy T. Nguyen

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

Shared Decision Making in Cardiac Electrophysiology Procedures and Arrhythmia Management

Circulation Arrhythmia and Electrophysiology(2021)10.1161/circep.121.007958

N/A

0DataRank · unranked

59 citations

Angela Fagerlin, Paul J. Wang, Tinuola B. Ajayi, Larry A. Allen, Tina Baykaner +37 more

Ibrutinib-associated atrial fibrillation treatment with catheter ablation

HeartRhythm Case Reports(2021)10.1016/j.hrcr.2021.08.003

N/A

0DataRank · unranked

7 citations

Muhammad Fazal, Paul Cheng, Ronald Witteles, June‐Wha Rhee, Tina Baykaner +1 more

Is there rule to the chaos: Defining stable patterns in atrial fibrillation

Journal of Cardiovascular Electrophysiology(2021)10.1111/jce.15169

N/A

0DataRank · unranked

0 citations

Muhammad Fazal, Sagar Patel, Junaid Zaman, Tina Baykaner

Taking the “Pulse” of Pulsed Field Ablation: Real-World Experience

(2021)10.22541/au.163864968.83251133/v1

N/A

0DataRank · unranked

0 citations

Muhammad Fazal, Atul Verma, Tina Baykaner

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

The ENHANCE-AF clinical trial to evaluate an atrial fibrillation shared decision-making pathway: Rationale and study design

American Heart Journal(2022)10.1016/j.ahj.2022.01.013

N/A

0DataRank · unranked

7 citations

Krishna Pundi, Bryant Lin, Ying Lü, Katie DeSutter, Karma Lhamo +13 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

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

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

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

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

Use of artificial intelligence algorithms to reduce transmissions in implantable loop recorders

Heart Rhythm(2024)10.1016/j.hrthm.2024.10.024

N/A

0DataRank · unranked

7 citations

Gijo Thomas, Suraya H. Kamsani, Curtis Harper, Tina Baykaner, Rakesh Gopinathannair +5 more

Implementing AI in clinical practice: Practical insights on integrating AI through digital dashboards and beyond

Heart Rhythm(2024)10.1016/j.hrthm.2024.08.003

N/A

0DataRank · unranked

5 citations

Peter A. Noseworthy, Elaine Y. Wan, Tina Baykaner

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

Women Trainees in Electrophysiology and the Effect of Role Models

Circulation Arrhythmia and Electrophysiology(2024)10.1161/circep.123.012577

N/A

0DataRank · unranked

2 citations

S Greif, Ramya Vajapey, Christine M. Albert, Zaid Aziz, Nitish Badhwar +29 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

Variability in implantable cardioverter-defibrillator battery longevity

Heart Rhythm(2025)10.1016/j.hrthm.2025.05.031

N/A

0DataRank · unranked

0 citations

Michael Torre, Prashanthan Sanders, Niraj Varma, Tina Baykaner, Thomas F. Deering +4 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

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

Tina Baykaner

Indexed papers

Top data-sharing exemplar

Papers