Rickey E. Carter
Impact in
- Health Informatics top 0.1%
-
- Cardiovascular Function and Risk Factors
- ECG Monitoring and Analysis
- Heart Failure Treatment and Management
Papers in
-
- Cardiovascular Function and Risk Factors 19
- ECG Monitoring and Analysis 17
-
- Radiation Dose and Imaging 24
- Medical Imaging Techniques and Applications 16
- Co-authors
- Francisco López-Jiménez (29 shared papers)Barry A. Borlaug (22 shared papers)Paul A. Friedman (34 shared papers)Peter A. Noseworthy (32 shared papers)Zachi Itzhak Attia (32 shared papers)Yogesh N.V. Reddy (16 shared papers)Masaru Obokata (9 shared papers)Samuel J. Asirvatham (13 shared papers)
- Journals
- Mayo Clinic Proceedings (18 papers)Radiology (17 papers)American Journal of Roentgenology (13 papers)The Journal of Clinical Endocrinology & Metabolism (9 papers)Journal of the American College of Cardiology (9 papers)
- Partner nations
- United StatesItalyJapan
In The Last Decade
Rickey E. Carter
402 papers receiving 23.1k citations
Rickey E. Carter's Hit Papers
Peers
Comparison fields: 5 of 207
- Health Informatics 645
- Cardiology and Cardiovascular Medicine 5.2k
- Radiology, Nuclear Medicine and Imaging 2.9k
- Nephrology 761
- Endocrinology, Diabetes and Metabolism 1.5k
Countries citing papers authored by Rickey E. Carter
This map shows the geographic impact of Rickey E. 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 Rickey E. Carter with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Rickey E. Carter more than expected).
Fields of papers citing papers by Rickey E. Carter
This network shows the impact of papers produced by Rickey E. 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 Rickey E. Carter. The network helps show where Rickey E. Carter may publish in the future.
Co-authors
The 25 scholars most cited alongside Rickey E. Carter, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 418 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | An artificial intelligence-enabled ECG algorithm for the identification of patients with atrial fibrillation during sinus rhythm: a retrospective analysis of outcome prediction Hit paper breakdown → | 2019 | 1119 |
| 2 | Screening for cardiac contractile dysfunction using an artificial intelligence–enabled electrocardiogram Hit paper breakdown → | 2018 | 965 |
| 3 | A Simple, Evidence-Based Approach to Help Guide Diagnosis of Heart Failure With Preserved Ejection Fraction Hit paper breakdown → | 2018 | 904 |
| 4 | Clinical use of intracoronary imaging. Part 1: guidance and optimization of coronary interventions. An expert consensus document of the European Association of Percutaneous Cardiovascular Interventions Hit paper breakdown → | 2018 | 579 |
| 5 | Recommendations for Planning Pilot Studies in Clinical and Translational Research Hit paper breakdown → | 2011 | 507 |
| 6 | 2012 provisional classification criteria for polymyalgia rheumatica: a European League Against Rheumatism/American College of Rheumatology collaborative initiative Hit paper breakdown → | 2012 | 483 |
| 7 | Normal-Weight Central Obesity: Implications for Total and Cardiovascular Mortality Hit paper breakdown → | 2015 | 462 |
| 8 | Enhanced Protein Translation Underlies Improved Metabolic and Physical Adaptations to Different Exercise Training Modes in Young and Old Humans Hit paper breakdown → | 2017 | 417 |
| 9 | Moving beyond regression techniques in cardiovascular risk prediction: applying machine learning to address analytic challenges Hit paper breakdown → | 2016 | 417 |
| 10 | Convalescent Plasma Antibody Levels and the Risk of Death from Covid-19 Hit paper breakdown → | 2021 | 399 |
| 11 | 2020 | 338 | |
| 12 | Safety Update Hit paper breakdown → | 2020 | 326 |
| 13 | Age and Sex Estimation Using Artificial Intelligence From Standard 12-Lead ECGs Hit paper breakdown → | 2019 | 324 |
| 14 | 2013 | 316 | |
| 15 | 2012 | 308 | |
| 16 | Detection of Hypertrophic Cardiomyopathy Using a Convolutional Neural Network-Enabled Electrocardiogram Hit paper breakdown → | 2020 | 302 |
| 17 | 2014 | 288 | |
| 18 | 2013 | 280 | |
| 19 | 2019 | 248 | |
| 20 | 2019 | 241 |
About Rickey E. Carter
Rickey E. Carter is a scholar working on Cardiology and Cardiovascular Medicine, Radiology, Nuclear Medicine and Imaging, Endocrinology, Diabetes and Metabolism, Physiology and Statistics and Probability, having authored 418 papers that have together received 23.8k indexed citations. Recurring topics across this work include Radiation Dose and Imaging (24 papers), Cardiovascular Function and Risk Factors (19 papers), ECG Monitoring and Analysis (17 papers), Advanced X-ray and CT Imaging (17 papers), Medical Imaging Techniques and Applications (16 papers), Diabetes Management and Research (16 papers), SARS-CoV-2 and COVID-19 Research (15 papers) and COVID-19 Clinical Research Studies (14 papers). The work is most often cited by research in Health Informatics (645 citations), Cardiology and Cardiovascular Medicine (5.2k citations), Radiology, Nuclear Medicine and Imaging (2.9k citations), Nephrology (761 citations) and Endocrinology, Diabetes and Metabolism (1.5k citations). Rickey E. Carter has collaborated with scholars based in United States, Italy and Japan. Frequent co-authors include Francisco López-Jiménez, Barry A. Borlaug, Paul A. Friedman, Peter A. Noseworthy, Zachi Itzhak Attia, Yogesh N.V. Reddy, Masaru Obokata, Samuel J. Asirvatham, Suraj Kapa and Margaret M. Redfield. Their work appears in journals such as Mayo Clinic Proceedings, Radiology, American Journal of Roentgenology, The Journal of Clinical Endocrinology & Metabolism and Journal of the American College of Cardiology.
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.