Armando Bedoya

33 papers receiving 811 citations

Armando Bedoya's Hit Papers

Use of artificial intelligence in critical care: opportunities and obstacles 2024 · 54 citations
540+1Years since publication1020304050

Peers

Armando Bedoya
Comparison fields: 5 of 115
  • Health Informatics 204
  • Transplantation 49
  • Family Practice 27
  • Health Information Management 61
  • Epidemiology 173
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Stan Benjamens Netherlands
Suresh Balu United States
Fawad Qureshi United States
Supawadee Suppadungsuk Thailand
Oscar A. Garcia Valencia United States
Erkin Ötleş United States
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Jeremy A. Balch United States
Vyas Kumar Rathaur India
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Countries citing papers authored by Armando Bedoya

Since Specialization
Citations

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

Fields of papers citing papers by Armando Bedoya

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Armando Bedoya, 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 Armando Bedoya Line = papers co-authored together Armando Bedoya 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 2020119
2 2020107
3 2018104
4 201482
5 202075
6 202069
7 202264
8
Use of artificial intelligence in critical care: opportunities and obstacles
Hit paper breakdown →
202454
9 201128
10 201728
11 202022
12 202513
13 202112
14 20218
15 20257
16 20207
17 20204
18 20253
19 20123
20
Micro-propagation of casssava plants through the temporary immersion system and hardening of massive numbers of cassava vitroplants
20073

About Armando Bedoya

Armando Bedoya is a scholar working on Epidemiology, Surgery, Pulmonary and Respiratory Medicine, Health Informatics and Molecular Biology, having authored 35 papers that have together received 829 indexed citations. Recurring topics across this work include Sepsis Diagnosis and Treatment (7 papers), Healthcare Technology and Patient Monitoring (4 papers), Artificial Intelligence in Healthcare and Education (4 papers), Machine Learning in Healthcare (3 papers), Electronic Health Records Systems (3 papers), Interstitial Lung Diseases and Idiopathic Pulmonary Fibrosis (2 papers), Chronic Obstructive Pulmonary Disease (COPD) Research (2 papers) and Patient Safety and Medication Errors (1 paper). The work is most often cited by research in Health Informatics (204 citations), Transplantation (49 citations), Family Practice (27 citations), Health Information Management (61 citations) and Epidemiology (173 citations). Armando Bedoya has collaborated with scholars based in United States, Switzerland and Canada. Frequent co-authors include Cara O’Brien, Suresh Balu, Mark Sendak, Benjamin A. Goldstein, William Ratliff, Meredith E. Clement, Rebecca C. Steorts, Matthew Phelan, Michael Gao and Joseph Futoma. Their work appears in journals such as Journal of the American Medical Informatics Association, Contemporary Clinical Trials, Journal of Medical Internet Research, American Journal of Transplantation and Cytotherapy.

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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