Sarah E. Gerard

1.3k citations
45 papers · 512 · h-index 11

Impact in

Papers in

    • Respiratory Support and Mechanisms 12
    • Lung Cancer Diagnosis and Treatment 11
    • Chronic Obstructive Pulmonary Disease (COPD) Research 9
    • Pleural and Pulmonary Diseases 3
    • COVID-19 diagnosis using AI 9
    • Radiomics and Machine Learning in Medical Imaging 9
    • Medical Imaging Techniques and Applications 4

Sarah E. Gerard

44 papers receiving 500 citations

Peers

Sarah E. Gerard
Comparison fields: 5 of 64
  • Critical Care and Intensive Care Medicine 39
  • Radiology, Nuclear Medicine and Imaging 183
  • Pulmonary and Respiratory Medicine 248
  • Radiation 20
  • Emergency Medicine 18
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Citations per field
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Citations per year

Countries citing papers authored by Sarah E. Gerard

Since Specialization
Citations

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

Fields of papers citing papers by Sarah E. Gerard

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Sarah E. Gerard. 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 Sarah E. Gerard. The network helps show where Sarah E. Gerard may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 45 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201888
2 201960
3 201843
4 202141
5 201540
6 201824
7 201923
8 202022
9 201917
10 202115
11 202112
12 20229
13 20229
14 20219
15 20238
16 20167
17 20246
18 20206
19 20235
20 20225

About Sarah E. Gerard

Sarah E. Gerard is a scholar working on Pulmonary and Respiratory Medicine, Radiology, Nuclear Medicine and Imaging, Critical Care and Intensive Care Medicine, Artificial Intelligence and Biomedical Engineering, having authored 45 papers that have together received 512 indexed citations. Recurring topics across this work include Respiratory Support and Mechanisms (12 papers), Lung Cancer Diagnosis and Treatment (11 papers), COVID-19 diagnosis using AI (9 papers), Radiomics and Machine Learning in Medical Imaging (9 papers), Thermal Regulation in Medicine (9 papers), Chronic Obstructive Pulmonary Disease (COPD) Research (9 papers), Medical Imaging Techniques and Applications (4 papers) and Pleural and Pulmonary Diseases (3 papers). The work is most often cited by research in Critical Care and Intensive Care Medicine (39 citations), Radiology, Nuclear Medicine and Imaging (183 citations), Pulmonary and Respiratory Medicine (248 citations), Radiation (20 citations) and Emergency Medicine (18 citations). Sarah E. Gerard has collaborated with scholars based in United States, Italy and Brazil. Frequent co-authors include Joseph M. Reinhardt, Gary E. Christensen, John E. Bayouth, Taylor J. Patton, Jacob Herrmann, David W. Kaczka, Eric A. Hoffman, Wei Shao, Guido Musch and Ana Fernandez-Bustamante. Their work appears in journals such as Medical Physics, Journal of Applied Physiology, Frontiers in Physiology, IEEE Transactions on Medical Imaging and Critical Care.

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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