Armando Bedoya

30 papers receiving 725 citations

Hit Papers

Ethics in Patient Preferences for Artificial Intelligence–Drafted Responses to Electronic Messages 2025 · 12 citations
120Years since publication4812

Peers

Armando Bedoya
Comparison fields: 5 of 116
  • Health Informatics 222
  • Transplantation 62
  • Health Information Management 96
  • Family Practice 33
  • Issues, ethics and legal aspects 9
Replace Suresh Balu with:
Suresh Balu United States
Stan Benjamens Netherlands
Michael Gao United States
Fawad Qureshi United States
Erkin Ötleş United States
Martin Sepulveda United States
Awais Ashfaq United States
Hirsh D. Trivedi United States
Demilade Adedinsewo United States
Patrícia Logullo United Kingdom
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Citations per year

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 33 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2020103
2 202097
3 201897
4 201475
5 202068
6 202061
7 202258
8 202438
9 201128
10 201726
11 202022
12
Ethics in Patient Preferences for Artificial Intelligence–Drafted Responses to Electronic Messages
Hit paper breakdown →
202512
13 202112
14 20218
15 20205
16 20255
17 20205
18 20253
19 20123
20 20102

About Armando Bedoya

Armando Bedoya is a scholar working on Epidemiology, Surgery, Artificial Intelligence, Pulmonary and Respiratory Medicine and Health Informatics, having authored 33 papers that have together received 739 indexed citations. Recurring topics across this work include Sepsis Diagnosis and Treatment (8 papers), Machine Learning in Healthcare (7 papers), Healthcare Technology and Patient Monitoring (6 papers), Artificial Intelligence in Healthcare and Education (6 papers), Electronic Health Records Systems (3 papers), Chronic Obstructive Pulmonary Disease (COPD) Research (3 papers), Airway Management and Intubation Techniques (2 papers) and Clinical Reasoning and Diagnostic Skills (2 papers). The work is most often cited by research in Health Informatics (222 citations), Transplantation (62 citations), Health Information Management (96 citations), Family Practice (33 citations) and Issues, ethics and legal aspects (9 citations). Armando Bedoya has collaborated with scholars based in United States, Netherlands and Switzerland. 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, JAMA Network Open, Critical Care Medicine, Contemporary Clinical Trials and Frontiers in Physiology.

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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