Christopher Reeder

767 citations
24 papers · 334 · 1 hit paper · h-index 8

Impact in

    • Artificial Intelligence in Healthcare and Education
    • ECG Monitoring and Analysis
    • Atrial Fibrillation Management and Outcomes
    • Cardiac electrophysiology and arrhythmias
    • Cardiovascular Function and Risk Factors
    • Cardiac Arrhythmias and Treatments

Papers in

Christopher Reeder

19 papers receiving 330 citations

Christopher Reeder's Hit Papers

ECG-Based Deep Learning and Clinical Risk Factors to Predict Atrial Fibrillation 2021 · 197 citations
1970+1+3Years since publication50100150

Peers

Christopher Reeder
Comparison fields: 5 of 58
  • Health Informatics 19
  • Cardiology and Cardiovascular Medicine 178
  • Health Information Management 15
  • Radiology, Nuclear Medicine and Imaging 34
  • Cognitive Neuroscience 18
Replace Pulkit Singh with:
Pulkit Singh United States
Emilly M. Lima Brazil
Hidde Bleijendaal Netherlands
Nidhi Naik United States
Joshua Lampert United States
Manuel Marina‐Breysse Spain
Khaled Rjoob United Kingdom
Arnaud Rosier France
Gabriel Maliakal United States
Sreekar Mantena United States
Christopher Reeder relative to Pulkit Singh United States Pulkit Singh's profile →
Citations per field
00.5×1.5×
Pulkit Singh · 1×
Citations per year

Countries citing papers authored by Christopher Reeder

Since Specialization
Citations

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

Fields of papers citing papers by Christopher Reeder

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Christopher Reeder, 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 Christopher Reeder Line = papers co-authored together Christopher Reeder links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 24 papers — load more, or switch the sort, to bring in the rest.

#Work
1
ECG-Based Deep Learning and Clinical Risk Factors to Predict Atrial Fibrillation
Hit paper breakdown →
2021197
2 202331
3 202328
4 202211
5 20169
6 20258
7 20257
8 20237
9 20237
10 20156
11 20245
12 20134
13 20253
14 20243
15 20212
16 20152
17 20132
18 20251
19 20221
20 20210

About Christopher Reeder

Christopher Reeder is a scholar working on Cardiology and Cardiovascular Medicine, Molecular Biology, Epidemiology, Small Animals and Ecology, Evolution, Behavior and Systematics, having authored 24 papers that have together received 334 indexed citations. Recurring topics across this work include ECG Monitoring and Analysis (5 papers), Genomics and Chromatin Dynamics (3 papers), Epigenetics and DNA Methylation (2 papers), RNA Research and Splicing (2 papers), Cardiovascular Issues in Pregnancy (2 papers), Developmental Biology and Gene Regulation (1 paper), Acute Ischemic Stroke Management (1 paper) and Healthcare Systems and Public Health (1 paper). The work is most often cited by research in Health Informatics (19 citations), Cardiology and Cardiovascular Medicine (178 citations), Health Information Management (15 citations), Radiology, Nuclear Medicine and Imaging (34 citations) and Cognitive Neuroscience (18 citations). Christopher Reeder has collaborated with scholars based in United States, Germany and Finland. Frequent co-authors include Shaan Khurshid, Patrick T. Ellinor, Jennifer E. Ho, Pulkit Singh, Steven A. Lubitz, Puneet Batra, Paolo Di Achille, Anthony Philippakis, Sam Friedman and Mostafa A. Al‐Alusi. Their work appears in journals such as Circulation, Circulation Heart Failure, npj Digital Medicine, Journal of the American College of Cardiology and Circulation Genomic and Precision Medicine.

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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