Armando Bedoya

1.7k total citations · 1 hit paper
33 papers, 739 citations indexed

About

Armando Bedoya is a scholar working on Epidemiology, Surgery and Artificial Intelligence. According to data from OpenAlex, Armando Bedoya has authored 33 papers receiving a total of 739 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Epidemiology, 8 papers in Surgery and 8 papers in Artificial Intelligence. Recurrent topics in Armando Bedoya's work include Sepsis Diagnosis and Treatment (8 papers), Machine Learning in Healthcare (7 papers) and Healthcare Technology and Patient Monitoring (6 papers). Armando Bedoya is often cited by papers focused on Sepsis Diagnosis and Treatment (8 papers), Machine Learning in Healthcare (7 papers) and Healthcare Technology and Patient Monitoring (6 papers). Armando Bedoya collaborates with scholars based in United States, Netherlands and Switzerland. Armando Bedoya's co-authors include Cara O’Brien, Suresh Balu, Mark Sendak, Benjamin A. Goldstein, Meredith E. Clement, William Ratliff, Rebecca C. Steorts, Matthew Phelan, Michael Gao and Marshall Nichols and has published in prestigious journals such as PLoS ONE, Critical Care Medicine and Anesthesiology.

In The Last Decade

Armando Bedoya

30 papers receiving 725 citations

Hit Papers

Ethics in Patient Preferences for Artificial Intelligence... 2025 2026 2025 4 8 12

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Armando Bedoya United States 13 225 222 185 146 96 33 739
Stan Benjamens Netherlands 13 209 0.9× 403 1.8× 57 0.3× 120 0.8× 63 0.7× 35 978
Suresh Balu United States 16 374 1.7× 446 2.0× 204 1.1× 113 0.8× 206 2.1× 54 1.1k
Fawad Qureshi United States 12 102 0.5× 159 0.7× 61 0.3× 85 0.6× 19 0.2× 49 488
Michael Gao United States 13 259 1.2× 254 1.1× 183 1.0× 106 0.7× 113 1.2× 39 886
Hirsh D. Trivedi United States 16 148 0.7× 349 1.6× 456 2.5× 298 2.0× 19 0.2× 67 1.2k
Awais Ashfaq United States 12 111 0.5× 40 0.2× 95 0.5× 246 1.7× 68 0.7× 50 613
Supawadee Suppadungsuk Thailand 15 194 0.9× 290 1.3× 24 0.1× 54 0.4× 38 0.4× 49 545
Jeremy A. Balch United States 13 97 0.4× 86 0.4× 120 0.6× 83 0.6× 28 0.3× 45 455
Erkin Ötleş United States 10 242 1.1× 289 1.3× 225 1.2× 72 0.5× 78 0.8× 19 770
Oscar A. Garcia Valencia United States 16 192 0.9× 289 1.3× 25 0.1× 49 0.3× 32 0.3× 36 913

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-authorship network of co-authors of Armando Bedoya

This figure shows the co-authorship network connecting the top 25 collaborators of Armando Bedoya. A scholar is included among the top collaborators of Armando Bedoya based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Armando Bedoya. Armando Bedoya is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Hong, Chuan, H. Wang, Armando Bedoya, et al.. (2025). Application of unified health large language model evaluation framework to In-Basket message replies: bridging qualitative and quantitative assessments. Journal of the American Medical Informatics Association. 32(4). 626–637. 3 indexed citations
2.
Seaman, Danielle M., Roy A. Pleasants, Joel C. Boggan, et al.. (2025). The Epidemiology of Combined Pulmonary Fibrosis and Emphysema among Mid-Atlantic Veterans. Annals of the American Thoracic Society. 22(10). 1493–1503.
4.
Goldstein, Benjamin A., Vardit Ravitsky, Jean‐Christophe Bélisle‐Pipon, et al.. (2025). Ethics in Patient Preferences for Artificial Intelligence–Drafted Responses to Electronic Messages. JAMA Network Open. 8(3). e250449–e250449. 12 indexed citations breakdown →
5.
Pinsky, Michael R., Armando Bedoya, Azra Bihorac, et al.. (2024). Use of artificial intelligence in critical care: opportunities and obstacles. Critical Care. 28(1). 113–113. 38 indexed citations
6.
Seaman, Danielle M., et al.. (2024). Variability in chest radiology interpretation between thoracic and non-thoracic radiologists: Implications for pulmonary fibrosis care. Respiratory Medicine. 234. 107824–107824. 1 indexed citations
8.
Engelhard, Matthew, et al.. (2024). Incorporating informatively collected laboratory data from EHR in clinical prediction models. BMC Medical Informatics and Decision Making. 24(1). 206–206. 1 indexed citations
9.
Senior, Rashaud, Lisa C. Pickett, Andy Stirling, et al.. (2023). Development of an interactive dashboard for gun violence pattern analysis and intervention design at the local level. JAMIA Open. 6(4). ooad105–ooad105. 1 indexed citations
10.
Bedoya, Armando, Nicoleta Economou-Zavlanos, Benjamin A. Goldstein, et al.. (2022). A framework for the oversight and local deployment of safe and high-quality prediction models. Journal of the American Medical Informatics Association. 29(9). 1631–1636. 58 indexed citations
11.
Zhao, Congwen, et al.. (2022). Performance of the National Early Warning Score in Hospitalized Patients With Kidney Failure on Maintenance Hemodialysis. Kidney Medicine. 4(8). 100506–100506. 1 indexed citations
12.
Bedoya, Armando, Roy A. Pleasants, Joel C. Boggan, et al.. (2021). Interstitial lung disease in a veterans affairs regional network; a retrospective cohort study. PLoS ONE. 16(3). e0247316–e0247316. 8 indexed citations
13.
Bedoya, Armando, et al.. (2020). Unanticipated Respiratory Compromise and Unplanned Intubations on General Medical and Surgical Floors. Respiratory Care. 65(9). 1233–1240. 5 indexed citations
14.
Sandhu, Sahil, Anthony Lin, Nathan Brajer, et al.. (2020). Integrating a Machine Learning System Into Clinical Workflows: Qualitative Study. Journal of Medical Internet Research. 22(11). e22421–e22421. 97 indexed citations
16.
Bedoya, Armando, et al.. (2019). Respiratory Failure and Unplanned Intubations in General Floor Patients. A6478–A6478. 1 indexed citations
17.
Snyder, Laurie D., John M. Reynolds, Gowthami M. Arepally, et al.. (2014). Antibody Desensitization Therapy in Highly Sensitized Lung Transplant Candidates. American Journal of Transplantation. 14(4). 849–856. 75 indexed citations
18.
Montague, Brian T., Michael J. Lopez, Allison DeLong, et al.. (2012). Evaluation of Longitudinal Clinical Outcomes and Adherence to Care among HIV-Infected Refugees. Journal of the International Association of Providers of AIDS Care (JIAPAC). 12(3). 202–207. 3 indexed citations
19.
Gündoğan, Füsun, et al.. (2011). siRNA inhibition of aspartyl-asparaginyl β-hydroxylase expression impairs cell motility, Notch signaling, and fetal growth. Pathology - Research and Practice. 207(9). 545–553. 28 indexed citations
20.
Bedoya, Armando, et al.. (2010). Prosthetic Valve Endocarditis: A Complication of Spinal Epidural Abscess. Case Reports in Medicine. 2010. 1–3. 2 indexed citations

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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