Peter N. Smith

1.4k total citations
16 papers, 870 citations indexed

About

Peter N. Smith is a scholar working on Cardiology and Cardiovascular Medicine, Surgery and Psychiatry and Mental health. According to data from OpenAlex, Peter N. Smith has authored 16 papers receiving a total of 870 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Cardiology and Cardiovascular Medicine, 2 papers in Surgery and 2 papers in Psychiatry and Mental health. Recurrent topics in Peter N. Smith's work include Cardiac Arrhythmias and Treatments (10 papers), Atrial Fibrillation Management and Outcomes (8 papers) and Cardiac pacing and defibrillation studies (7 papers). Peter N. Smith is often cited by papers focused on Cardiac Arrhythmias and Treatments (10 papers), Atrial Fibrillation Management and Outcomes (8 papers) and Cardiac pacing and defibrillation studies (7 papers). Peter N. Smith collaborates with scholars based in United States, Chile and Australia. Peter N. Smith's co-authors include Humberto Vidaillet, Robert A. Vierkant, John J. Hayes, Juan F. Granada, David L. Nordstrom, Frank DeStefano, Param Sharma, Po‐Huang Chyou, John Hayes and Mario A. Ortíz and has published in prestigious journals such as Journal of the American College of Cardiology, The American Journal of Medicine and Pacing and Clinical Electrophysiology.

In The Last Decade

Peter N. Smith

15 papers receiving 817 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Peter N. Smith United States 9 751 162 50 35 30 16 870
Zhiying Liang Canada 8 143 0.2× 107 0.7× 37 0.7× 52 1.5× 54 1.8× 14 320
Ahmed AlTurki Canada 12 427 0.6× 64 0.4× 58 1.2× 4 0.1× 45 1.5× 50 525
Mark A. Creager United States 9 190 0.3× 131 0.8× 47 0.9× 5 0.1× 80 2.7× 16 396
Olivier Piot France 16 872 1.2× 85 0.5× 37 0.7× 3 0.1× 96 3.2× 56 949
Dennis W. den Uijl Netherlands 16 796 1.1× 73 0.5× 20 0.4× 15 0.4× 140 4.7× 36 854
Brendan M. Carr United States 12 178 0.2× 163 1.0× 17 0.3× 7 0.2× 27 0.9× 27 352
Zdravko Babić Croatia 12 136 0.2× 56 0.3× 22 0.4× 25 0.7× 38 1.3× 49 270
Pui‐Fai Wong Hong Kong 7 91 0.1× 67 0.4× 73 1.5× 53 1.5× 6 0.2× 13 325
Amanda Sousa Brazil 11 179 0.2× 221 1.4× 43 0.9× 2 0.1× 69 2.3× 46 381
Kayvan Khadjooi United Kingdom 12 460 0.6× 79 0.5× 42 0.8× 93 3.1× 31 592

Countries citing papers authored by Peter N. Smith

Since Specialization
Citations

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

Fields of papers citing papers by Peter N. Smith

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Peter N. Smith. 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 Peter N. Smith. The network helps show where Peter N. Smith may publish in the future.

Co-authorship network of co-authors of Peter N. Smith

This figure shows the co-authorship network connecting the top 25 collaborators of Peter N. Smith. A scholar is included among the top collaborators of Peter N. Smith 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 Peter N. Smith. Peter N. Smith 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.
Fearon, A., Charlotte Ganderton, Jennie M. Scarvell, et al.. (2015). Development and validation of a VISA tendinopathy questionnaire for greater trochanteric pain syndrome, the VISA-G. Manual Therapy. 20(6). 805–813. 63 indexed citations
2.
Dharmashankar, Kodlipet, Juan F. Granada, P.-H. Chyou, et al.. (2009). Atrial Flutter Versus Atrial Fibrillation in a General Population: Differences in Comorbidities Associated With Their Respective Onset. Clinical Medicine & Research. 8(1). 1–6. 20 indexed citations
3.
Sharma, Param, Robert T. Greenlee, Kelley P. Anderson, et al.. (2007). Prevalence and mortality of patients with myocardial infarction and reduced left ventricular ejection fraction in a defined community: Relation to the second multicenter automatic defibrillator implantation trial. Journal of Interventional Cardiac Electrophysiology. 19(3). 157–164. 7 indexed citations
4.
Smith, Peter N. & Marvin W. Sams. (2006). Neurofeedback with Juvenile Offenders: A Pilot Study in the Use of QEEG-Based and Analog-Based Remedial Neurofeedback Training. Journal of Neurotherapy. 9(3). 87–99. 18 indexed citations
5.
Hayes, John J., Param Sharma, Peter N. Smith, & Humberto Vidaillet. (2004). Familial Atrioventricular Nodal Reentry Tachycardia. Pacing and Clinical Electrophysiology. 27(1). 73–76. 14 indexed citations
6.
Mumford, Karen & Peter N. Smith. (2003). Determinants of Current Job Tenure: a Cross Country Comparison. Australian journal of labour economics. 6(3). 435–451. 5 indexed citations
7.
Sharma, Param, Robert T. Greenlee, John Hayes, et al.. (2003). Prevalence of patients with myocardial infarction and reduced left ventricular ejection fraction: Impact of MADIT-II study in the general population. Journal of the American College of Cardiology. 41(6). 96–96.
8.
Vidaillet, Humberto, Juan F. Granada, William Uribe, et al.. (2002). Incidence and Predictors of Atrial Flutter/Fibrillation in the General Population. Journal of the American College of Cardiology. 39. 133–133. 1 indexed citations
9.
Vidaillet, Humberto, Juan F. Granada, Mario A. Ortíz, et al.. (2002). A population-based study of mortality among patients with atrial fibrillation or flutter. The American Journal of Medicine. 113(5). 365–370. 215 indexed citations
10.
Smith, Peter N., Humberto Vidaillet, Param Sharma, John J. Hayes, & John R. Schmelzer. (2001). Catheter Ablation in the Elderly in the United States: Use in the Medicare Population from 1991 to 1998. Pacing and Clinical Electrophysiology. 24(1). 66–69. 8 indexed citations
11.
Granada, Juan F., William Uribe, Po‐Huang Chyou, et al.. (2000). Incidence and predictors of atrial flutter in the general population. Journal of the American College of Cardiology. 36(7). 2242–2246. 216 indexed citations
12.
Smith, Peter N., et al.. (1998). Infections with Nonthoracotomy Implantable Cardioverter Defibrillators: Can These Be Prevented?. Pacing and Clinical Electrophysiology. 21(1). 42–55. 48 indexed citations
13.
Vidaillet, Humberto, Frank DeStefano, David L. Nordstrom, et al.. (1998). Paroxysmal Supraventricular Tachycardia in the General Population. Journal of the American College of Cardiology. 31(1). 150–157. 248 indexed citations
14.
Hayes, John J., et al.. (1996). Increasing age of implantable cardioverter defibrillator recipients. Journal of the American College of Cardiology. 27(2). 303–304. 1 indexed citations
15.
Vidaillet, Humberto, et al.. (1995). 998-61 Population Prevalence of Wolff-Parkinson-White Syndrome. Journal of the American College of Cardiology. 25(2). 327A–327A. 4 indexed citations
16.
Rankin, Andrew, et al.. (1991). Long term efficacy and tolerance of oral sotalol in patients with drug-refractory ventricular arrhythmias. Journal of the American College of Cardiology. 17(2). A32–A32. 2 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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