Jared D. Miller

769 total citations
16 papers, 546 citations indexed

About

Jared D. Miller is a scholar working on Cardiology and Cardiovascular Medicine, Computer Networks and Communications and Signal Processing. According to data from OpenAlex, Jared D. Miller has authored 16 papers receiving a total of 546 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Cardiology and Cardiovascular Medicine, 2 papers in Computer Networks and Communications and 2 papers in Signal Processing. Recurrent topics in Jared D. Miller's work include Atrial Fibrillation Management and Outcomes (7 papers), Cardiac Arrhythmias and Treatments (5 papers) and Cardiac pacing and defibrillation studies (4 papers). Jared D. Miller is often cited by papers focused on Atrial Fibrillation Management and Outcomes (7 papers), Cardiac Arrhythmias and Treatments (5 papers) and Cardiac pacing and defibrillation studies (4 papers). Jared D. Miller collaborates with scholars based in United States, Japan and India. Jared D. Miller's co-authors include Paul A. Heidenreich, Mintu P. Turakhia, Donald D. Hoang, Xiangyan Xu, Felix Yang, Victor F. Froelicher, Uday Kumar, Peter Zimetbaum, Thomas H. Hostetter and Jason L. Walther and has published in prestigious journals such as Journal of the American College of Cardiology, Journal of the American Society of Nephrology and The American Journal of Cardiology.

In The Last Decade

Jared D. Miller

16 papers receiving 523 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Jared D. Miller United States 8 363 82 77 50 46 16 546
Seong Mi Yang South Korea 10 137 0.4× 37 0.5× 222 2.9× 63 1.3× 35 0.8× 35 466
Oteh Maskon Malaysia 10 211 0.6× 52 0.6× 114 1.5× 51 1.0× 77 1.7× 50 402
Luis Vigil Spain 15 189 0.5× 118 1.4× 47 0.6× 12 0.2× 27 0.6× 33 540
Jean‐Yves Tabet France 15 675 1.9× 87 1.1× 132 1.7× 55 1.1× 62 1.3× 34 813
D. Konstantinidis Greece 11 259 0.7× 15 0.2× 67 0.9× 36 0.7× 38 0.8× 70 419
Masaru Hiki Japan 14 192 0.5× 36 0.4× 73 0.9× 18 0.4× 24 0.5× 63 553
Richard Oliver United Kingdom 12 109 0.3× 62 0.8× 114 1.5× 40 0.8× 115 2.5× 31 612
Tom F. Brouwer Netherlands 21 1.2k 3.3× 26 0.3× 192 2.5× 85 1.7× 39 0.8× 42 1.4k
Seyed Kianoosh Hosseini Iran 12 180 0.5× 34 0.4× 94 1.2× 19 0.4× 54 1.2× 56 407
Guillermo Lema Chile 12 271 0.7× 144 1.8× 207 2.7× 46 0.9× 11 0.2× 48 469

Countries citing papers authored by Jared D. Miller

Since Specialization
Citations

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

Fields of papers citing papers by Jared D. Miller

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Jared D. Miller. 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 Jared D. Miller. The network helps show where Jared D. Miller may publish in the future.

Co-authorship network of co-authors of Jared D. Miller

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

All Works

16 of 16 papers shown
1.
Cutler, Michael J., Tami L. Bair, Brian G. Crandall, et al.. (2024). PO-04-055 CLINICAL, ECONOMIC AND HEALTHCARE UTILIZATION IMPACT OF EARLY AMBULATION USING PROGLIDE VENOUS CLOSURE FOLLOWING ATRIAL FIBRILLATION ABLATION. Heart Rhythm. 21(5). S476–S476. 1 indexed citations
2.
Cutler, Michael J., Heidi T. May, Tami L. Bair, et al.. (2022). Atrial fibrillation is a risk factor for major adverse cardiovascular events in COVID-19. IJC Heart & Vasculature. 43. 101127–101127. 10 indexed citations
3.
Brown, Ethan Allan, et al.. (2021). Influence of various water quality parameters on passive sampler accumulation kinetics of different metal valencies in freshwater. Environmental Science and Pollution Research. 28(45). 64199–64205. 2 indexed citations
4.
Miller, Jared D., et al.. (2020). A Cyber-Physical System to Detect IoT Security Threats of a Smart Home Heterogeneous Wireless Sensor Node. IEEE Access. 8. 205989–206002. 14 indexed citations
5.
Miller, Jared D., et al.. (2020). Point density exclusion electroanatomic mapping for ventricular arrhythmias arising from endocavitary structures. Heart Rhythm O2. 1(5). 394–398. 3 indexed citations
6.
Majumder, Akm Jahangir Alam, et al.. (2020). Smart-Power: A Smart Cyber-Physical System to Detect IoT Security Threat through Behavioral Power Profiling. 1041–1049. 3 indexed citations
7.
Miller, Jared D., Jeffrey Brinker, & David Spragg. (2017). First report of dabigatran reversal in iatrogenic pericardial tamponade during catheter ablation of atrial fibrillation. HeartRhythm Case Reports. 3(12). 566–567. 2 indexed citations
8.
Miller, Jared D., Saman Nazarian, & Henry R. Halperin. (2016). Implantable Electronic Cardiac Devices and Compatibility With Magnetic Resonance Imaging. Journal of the American College of Cardiology. 68(14). 1590–1598. 29 indexed citations
9.
Miller, Jared D., Omair Yousuf, & Ronald D. Berger. (2015). The implantable cardioverter–defibrillator: An update. Trends in Cardiovascular Medicine. 25(7). 606–611. 13 indexed citations
10.
Miller, Jared D., Konstantinos N. Aronis, Jonathan Chrispin, et al.. (2015). Obesity, Exercise, Obstructive Sleep Apnea, and Modifiable Atherosclerotic Cardiovascular Disease Risk Factors in Atrial Fibrillation. Journal of the American College of Cardiology. 66(25). 2899–2906. 115 indexed citations
11.
Turakhia, Mintu P., Aditya J. Ullal, Donald D. Hoang, et al.. (2015). Feasibility of Extended Ambulatory Electrocardiogram Monitoring to Identify Silent Atrial Fibrillation in High‐risk Patients: The Screening Study for Undiagnosed Atrial Fibrillation (STUDY‐AF). Clinical Cardiology. 38(5). 285–292. 74 indexed citations
12.
Turakhia, Mintu P., Donald D. Hoang, Peter Zimetbaum, et al.. (2013). Diagnostic Utility of a Novel Leadless Arrhythmia Monitoring Device. The American Journal of Cardiology. 112(4). 520–524. 181 indexed citations
13.
Chick, Jeffrey Forris Beecham, Scott E. Sheehan, Jared D. Miller, Ryan J. Bair, & Rachna Madan. (2013). Giant Left Atrium in Rheumatic Heart Disease: The Classic Signs of Left Atrial Enlargement. Journal of Emergency Medicine. 44(6). e393–e394. 1 indexed citations
14.
Ullal, Aditya J., Donald D. Hoang, Claire T. Than, et al.. (2013). Abstract 315: Feasibility of outpatient ambulatory ECG monitoring to screen for silent atrial fibrillation: Pilot Findings from Screening Trial for Undiagnosed Atrial Fibrillation (STUDY-AF). Circulation Cardiovascular Quality and Outcomes. 6(suppl_1). 1 indexed citations
15.
Chick, Jeffrey Forris Beecham, Jared D. Miller, Ryan J. Bair, & Rachna Madan. (2012). The many faces of Behçetʼs disease. Journal of Cardiovascular Medicine. 14(11). 833–835. 1 indexed citations
16.
Meyer, Timothy W., et al.. (2007). Increasing the Clearance of Protein-Bound Solutes by Addition of a Sorbent to the Dialysate. Journal of the American Society of Nephrology. 18(3). 868–874. 96 indexed citations

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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