Agustina Saenz

723 total citations · 1 hit paper
10 papers, 375 citations indexed

About

Agustina Saenz is a scholar working on General Health Professions, Radiology, Nuclear Medicine and Imaging and Health Informatics. According to data from OpenAlex, Agustina Saenz has authored 10 papers receiving a total of 375 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in General Health Professions, 3 papers in Radiology, Nuclear Medicine and Imaging and 2 papers in Health Informatics. Recurrent topics in Agustina Saenz's work include Radiomics and Machine Learning in Medical Imaging (2 papers), Artificial Intelligence in Healthcare and Education (2 papers) and Geriatric Care and Nursing Homes (2 papers). Agustina Saenz is often cited by papers focused on Radiomics and Machine Learning in Medical Imaging (2 papers), Artificial Intelligence in Healthcare and Education (2 papers) and Geriatric Care and Nursing Homes (2 papers). Agustina Saenz collaborates with scholars based in United States, Australia and Lebanon. Agustina Saenz's co-authors include Jeffrey L. Schnipper, David M. Levine, Kei Ouchi, Bonnie B. Blanchfield, Mary Paz, Charles T. Pu, Pranav Rajpurkar, Oishi Banerjee, Michael D. Abràmoff and Emma Chen and has published in prestigious journals such as Annals of Internal Medicine, American Journal of Respiratory and Critical Care Medicine and The American Journal of Cardiology.

In The Last Decade

Agustina Saenz

9 papers receiving 366 citations

Hit Papers

Hospital-Level Care at Home for Acutely Ill Adults 2019 2026 2021 2023 2019 50 100 150 200

Peers

Agustina Saenz
Stephanie Q Ko Singapore
Marilyn K. Szekendi United States
Susan Guido United States
Mary Paz United States
Alan Wolff Australia
Luke Sato United States
Simon A. Amacher Switzerland
Stephanie Q Ko Singapore
Agustina Saenz
Citations per year, relative to Agustina Saenz Agustina Saenz (= 1×) peers Stephanie Q Ko

Countries citing papers authored by Agustina Saenz

Since Specialization
Citations

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

Fields of papers citing papers by Agustina Saenz

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Agustina Saenz

This figure shows the co-authorship network connecting the top 25 collaborators of Agustina Saenz. A scholar is included among the top collaborators of Agustina Saenz 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 Agustina Saenz. Agustina Saenz is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

10 of 10 papers shown
1.
Banerjee, Oishi, Agustina Saenz, Warren Clements, et al.. (2024). ReXamine-Global: A Framework for Uncovering Inconsistencies in Radiology Report Generation Metrics. PubMed. 30. 185–198. 2 indexed citations
2.
Saenz, Agustina, Emma Chen, Henrik Marklund, & Pranav Rajpurkar. (2023). The MAIDA initiative: establishing a framework for global medical-imaging data sharing. The Lancet Digital Health. 6(1). e6–e8. 16 indexed citations
3.
Saenz, Agustina, et al.. (2023). Autonomous AI systems in the face of liability, regulations and costs. npj Digital Medicine. 6(1). 185–185. 33 indexed citations
4.
Yan, Benjamin C., Ruochen Liu, Eduardo Pontes Reis, et al.. (2023). Style-Aware Radiology Report Generation with RadGraph and Few-Shot Prompting. 14676–14688. 6 indexed citations
5.
Saenz, Agustina, Yusuke Tsugawa, Jessica Phelan, E. John Orav, & José F. Figueroa. (2022). Trends in High-Severity Billing of Hospitalized Medicare Beneficiaries Treated by Hospitalists vs Nonhospitalists. JAMA Health Forum. 3(3). e220120–e220120. 1 indexed citations
6.
Levine, David M., et al.. (2021). Hospital-Level Care at Home for Acutely Ill Adults: a Qualitative Evaluation of a Randomized Controlled Trial. Journal of General Internal Medicine. 36(7). 1965–1973. 71 indexed citations
7.
Levine, David M., Kei Ouchi, Bonnie B. Blanchfield, et al.. (2019). Hospital-Level Care at Home for Acutely Ill Adults. Annals of Internal Medicine. 172(2). 77–85. 239 indexed citations breakdown →
8.
Saenz, Agustina, et al.. (2011). Bilateral Spontaneous Pneumothoraces in a Healthy Young Adult. American Journal of Respiratory and Critical Care Medicine. 184(12). e3–e3.
9.
Mainigi, Sumeet K., et al.. (2011). Usefulness of Radiofrequency Ablation of Supraventricular Tachycardia to Decrease Inappropriate Shocks from Implantable Cardioverter–Defibrillators. The American Journal of Cardiology. 109(2). 231–237. 4 indexed citations
10.
Saenz, Agustina, et al.. (1980). [Chronic granulomatous disease: clinical and functional studies in six cases (author's transl)].. PubMed. 13(5). 405–22. 3 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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