Nathan Carter

1.7k citations
35 papers · 606 · h-index 14

Impact in

Papers in

Nathan Carter

33 papers receiving 582 citations

Peers

Nathan Carter
Comparison fields: 5 of 85
  • Cardiology and Cardiovascular Medicine 451
  • General Decision Sciences 11
  • Applied Psychology 11
  • Statistics and Probability 14
  • Organizational Behavior and Human Resource Management 13
Replace Ravi Kulkarni with:
Ravi Kulkarni India
Amol Rajmane United States
Aviv A. Rosenberg Israel
Scott Friedman United States
Junaid Zaman United States
John Walmsley Netherlands
Choon‐Hian Goh Malaysia
Winnie Wai Lan Chan Hong Kong
Khaled Rjoob United Kingdom
Mathieu Trudel Canada
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Citations per field
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Ravi Kulkarni · 1×
Citations per year

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-authors

The 25 scholars most cited alongside Nathan Carter, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Nathan Carter Line = papers co-authored together Nathan Carter links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 35 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2015107
2 201460
3 201557
4 202150
5 201947
6 201628
7 201623
8 201621
9 202219
10 201619
11 202218
12 201616
13 202316
14 201915
15 202012
16 201712
17 202012
18 202010
19 201310
20 20089

About Nathan Carter

Nathan Carter is a scholar working on Cardiology and Cardiovascular Medicine, Artificial Intelligence, Computational Theory and Mathematics, Computer Networks and Communications and Computational Mechanics, having authored 35 papers that have together received 606 indexed citations. Recurring topics across this work include Cardiac pacing and defibrillation studies (18 papers), Logic, programming, and type systems (3 papers), Mathematics, Computing, and Information Processing (2 papers), Cardiac Arrhythmias and Treatments (2 papers), Advanced Numerical Analysis Techniques (2 papers), Cardiac electrophysiology and arrhythmias (1 paper), Business and Economic Development (1 paper) and Knowledge Management and Sharing (1 paper). The work is most often cited by research in Cardiology and Cardiovascular Medicine (451 citations), General Decision Sciences (11 citations), Applied Psychology (11 citations), Statistics and Probability (14 citations) and Organizational Behavior and Human Resource Management (13 citations). Nathan Carter has collaborated with scholars based in United States, Netherlands and United Kingdom. Frequent co-authors include Dominic A.M.J. Theuns, Lucas V.A. Boersma, Pier D. Lambiase, Martin C. Burke, Petr Neužil, Craig Barr, Michael Husby, Raul Weiss, Michael R. Gold and Reinoud E. Knops. Their work appears in journals such as Heart Rhythm, Pacing and Clinical Electrophysiology, Journal of Cardiovascular Electrophysiology, Journal of the American College of Cardiology and JACC. Clinical electrophysiology.

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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