Ashley Beecy

1.4k citations
22 papers · 229 · h-index 10

Impact in

Papers in

Ashley Beecy

19 papers receiving 228 citations

Peers

Ashley Beecy
Comparison fields: 5 of 43
  • Health Informatics 39
  • Cardiology and Cardiovascular Medicine 94
  • Health Information Management 16
  • Radiology, Nuclear Medicine and Imaging 52
  • Family Practice 3
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Citations per field
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Citations per year

Countries citing papers authored by Ashley Beecy

Since Specialization
Citations

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

Fields of papers citing papers by Ashley Beecy

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 22 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201963
2 201932
3 202519
4 202017
5 201817
6 202413
7 202011
8 202411
9 20169
10 20249
11 20248
12
Implementation of a Machine Learning Risk Prediction Model for Postpartum Depression in the Electronic Health Records.
20245
13 20243
14 20203
15 20213
16 20232
17 20182
18 20251
19 20191
20 20240

About Ashley Beecy

Ashley Beecy is a scholar working on Cardiology and Cardiovascular Medicine, Health Informatics, Health Information Management, Artificial Intelligence and Radiology, Nuclear Medicine and Imaging, having authored 22 papers that have together received 229 indexed citations. Recurring topics across this work include Artificial Intelligence in Healthcare and Education (4 papers), Heart Failure Treatment and Management (4 papers), Machine Learning in Healthcare (3 papers), Cardiovascular Function and Risk Factors (2 papers), Radiomics and Machine Learning in Medical Imaging (1 paper), Artificial Intelligence in Healthcare (1 paper), Data Quality and Management (1 paper) and Cardiac, Anesthesia and Surgical Outcomes (1 paper). The work is most often cited by research in Health Informatics (39 citations), Cardiology and Cardiovascular Medicine (94 citations), Health Information Management (16 citations), Radiology, Nuclear Medicine and Imaging (52 citations) and Family Practice (3 citations). Ashley Beecy has collaborated with scholars based in United States, Singapore and China. Frequent co-authors include Subhi J. Al’Aref, James K. Min, Jiwon Kim, Mert R. Sabuncu, Amanda Su, Jonathan W. Weinsaft, Maria Karas, Richard B. Devereux, Evelyn M. Horn and Clerio F. Azevedo. Their work appears in journals such as Journal of the American Medical Informatics Association, The American Journal of Cardiology, BMJ evidence-based medicine, Current Atherosclerosis Reports and European Heart Journal.

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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