Nathan Carter

1.6k total citations
32 papers, 530 citations indexed

About

Nathan Carter is a scholar working on Cardiology and Cardiovascular Medicine, Surgery and Neurology. According to data from OpenAlex, Nathan Carter has authored 32 papers receiving a total of 530 indexed citations (citations by other indexed papers that have themselves been cited), including 20 papers in Cardiology and Cardiovascular Medicine, 4 papers in Surgery and 4 papers in Neurology. Recurrent topics in Nathan Carter's work include Cardiac pacing and defibrillation studies (20 papers), Cardiac Arrhythmias and Treatments (15 papers) and Cardiac electrophysiology and arrhythmias (7 papers). Nathan Carter is often cited by papers focused on Cardiac pacing and defibrillation studies (20 papers), Cardiac Arrhythmias and Treatments (15 papers) and Cardiac electrophysiology and arrhythmias (7 papers). Nathan Carter collaborates with scholars based in United States, Netherlands and United Kingdom. Nathan Carter's co-authors include Dominic A.M.J. Theuns, Lucas V.A. Boersma, Pier D. Lambiase, Martin C. Burke, Petr Neužil, Craig Barr, Reinoud E. Knops, Michael Husby, Raul Weiss and Michael R. Gold and has published in prestigious journals such as SHILAP Revista de lepidopterología, Journal of the American College of Cardiology and European Heart Journal.

In The Last Decade

Nathan Carter

30 papers receiving 515 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Nathan Carter United States 13 437 38 32 24 21 32 530
Thomas F. Cunningham United States 12 375 0.9× 68 1.8× 24 0.8× 4 0.2× 22 1.0× 40 734
John Walmsley Netherlands 16 563 1.3× 76 2.0× 64 2.0× 33 1.4× 50 2.4× 43 729
Ahmad I. Al‐Shafei Saudi Arabia 11 101 0.2× 46 1.2× 9 0.3× 13 0.5× 16 0.8× 19 380
George Kotsanas Australia 12 223 0.5× 14 0.4× 9 0.3× 4 0.2× 24 1.1× 30 421
Judith MacCormick New Zealand 8 209 0.5× 33 0.9× 17 0.5× 5 0.2× 4 0.2× 8 311
Theodore Chow United States 13 708 1.6× 57 1.5× 19 0.6× 2 0.1× 11 0.5× 20 769
Michael Dilou Jacobsen Denmark 6 357 0.8× 63 1.7× 54 1.7× 14 0.6× 8 0.4× 7 479
Dina M. Sparano United States 8 202 0.5× 7 0.2× 11 0.3× 18 0.8× 13 0.6× 13 354
Juan Antonio Martı́nez Spain 9 169 0.4× 41 1.1× 4 0.1× 8 0.3× 3 0.1× 44 278
K. van den Broek Netherlands 8 57 0.1× 13 0.3× 15 0.5× 6 0.3× 30 1.4× 14 338

Countries citing papers authored by Nathan Carter

Since Specialization
Citations

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

Fields of papers citing papers by Nathan Carter

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Nathan Carter. 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 Nathan Carter. The network helps show where Nathan Carter may publish in the future.

Co-authorship network of co-authors of Nathan Carter

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

All Works

20 of 20 papers shown
1.
2.
Weiss, Raul, Bradley P. Knight, Mikhael F. El‐Chami, et al.. (2023). Impact of Age on Subcutaneous Implantable Cardioverter-Defibrillator in a Large Patient Cohort. JACC. Clinical electrophysiology. 9(10). 2132–2145. 1 indexed citations
3.
Gold, Michael R., Johan D. Aasbo, Raul Weiss, et al.. (2022). Infection in patients with subcutaneous implantable cardioverter-defibrillator: Results of the S-ICD Post Approval Study. Heart Rhythm. 19(12). 1993–2001. 16 indexed citations
4.
5.
Haqqani, Haris M., et al.. (2022). Association of interventricular activation delay with clinical outcomes in cardiac resynchronization therapy. Heart Rhythm. 20(3). 385–392. 4 indexed citations
6.
Lambiase, Pier D., Dominic A.M.J. Theuns, Francis Murgatroyd, et al.. (2021). Subcutaneous implantable cardioverter-defibrillators: long-term results of the EFFORTLESS study. European Heart Journal. 43(21). 2037–2050. 45 indexed citations
7.
El‐Chami, Mikhael F., Martin C. Burke, John M. Herre, et al.. (2020). Outcomes of subcutaneous implantable cardioverter-defibrillator in dialysis patients: Results from the S-ICD post-approval study. Heart Rhythm. 17(9). 1566–1574. 9 indexed citations
8.
Rinaldi, Christopher A., Devi G. Nair, Robert Bernstein, et al.. (2020). Safety of magnetic resonance imaging scanning in patients with cardiac resynchronization therapy–defibrillators incorporating quadripolar left ventricular leads. Heart Rhythm. 17(12). 2064–2071. 1 indexed citations
9.
Matzen, Laura E., et al.. (2020). Measuring Intelligence with the Sandia Matrices: Psychometric Review and Recommendations for Free Raven-Like Item Sets. SHILAP Revista de lepidopterología. 6(3). 9 indexed citations
10.
Nolan, Kevin, Dev K. Dalal, & Nathan Carter. (2020). Threat of Technological Unemployment, Use Intentions, and the Promotion of Structured Interviews in Personnel Selection. SHILAP Revista de lepidopterología. 6(2). 10 indexed citations
11.
Boersma, Lucas V.A., Mikhael F. El‐Chami, Maria Grazia Bongiorni, et al.. (2019). Understanding Outcomes with the EMBLEM S-ICD in Primary Prevention Patients with Low EF Study (UNTOUCHED): Clinical characteristics and perioperative results. Heart Rhythm. 16(11). 1636–1644. 45 indexed citations
12.
Pedersen, Susanne S., Nathan Carter, Craig Barr, et al.. (2016). A Comparison of the Quality of Life of Patients With an Entirely Subcutaneous Implantable Defibrillator System Versus a Transvenous System (from the EFFORTLESS S-ICD Quality of Life Substudy). The American Journal of Cardiology. 118(4). 520–526. 23 indexed citations
13.
Carter, Nathan. (2016). Introduction to the Mathematics of Computer Graphics. American Mathematical Society eBooks. 1 indexed citations
14.
15.
Nordkamp, Louise R.A. Olde, Tom F. Brouwer, Craig Barr, et al.. (2015). Inappropriate shocks in the subcutaneous ICD: Incidence, predictors and management. International Journal of Cardiology. 195. 126–133. 101 indexed citations
16.
Boersma, Lucas V.A., Martin C. Burke, Petr Neužil, et al.. (2015). Infection and mortality after implantation of a subcutaneous ICD after transvenous ICD extraction. Heart Rhythm. 13(1). 157–164. 53 indexed citations
17.
Gold, Michael R., Raul Weiss, Dominic A.M.J. Theuns, et al.. (2014). Use of a discrimination algorithm to reduce inappropriate shocks with a subcutaneous implantable cardioverter-defibrillator. Heart Rhythm. 11(8). 1352–1358. 53 indexed citations
18.
Carter, Nathan, et al.. (2013). Lurch: a word processor built on OpenMath that can check mathematical reasoning.. 2 indexed citations
19.
Carter, Nathan. (2009). Visual Group Theory. American Mathematical Society eBooks. 7 indexed citations
20.
Carter, Nathan, Charles R. Hadlock, & Dominique Haughton. (2008). Generating random networks from a given distribution. Computational Statistics & Data Analysis. 52(8). 3928–3938. 1 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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