Michelle Guo
Impact in
- Health Informatics top 10%
- Artificial Intelligence in Healthcare and Education
Papers in
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- Robot Manipulation and Learning 2
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- Video Surveillance and Tracking Methods 1
- Image Processing and 3D Reconstruction 1
- Co-authors
- Li Fei-Fei (5 shared papers)William Beninati (4 shared papers)Serena Yeung (4 shared papers)Arnold Milstein (4 shared papers)Alexandre Alahi (3 shared papers)Albert Haque (3 shared papers)N. Lance Downing (3 shared papers)Kayla Deru (2 shared papers)
- Journals
- IEEE Robotics and Automation Letters (1 paper)Journal of the American Medical Informatics Association (1 paper)npj Digital Medicine (1 paper)Infoscience (Ecole Polytechnique Fédérale de Lausanne) (1 paper)AAS (1 paper)
- Partner nations
- United StatesSwitzerland
In The Last Decade
Michelle Guo
7 papers receiving 162 citations
Peers
Comparison fields: 5 of 86
- Health Informatics 20
- General Dentistry 7
- Computer Vision and Pattern Recognition 42
- Medical Laboratory Technology 3
- Critical Care and Intensive Care Medicine 10
Countries citing papers authored by Michelle Guo
This map shows the geographic impact of Michelle Guo'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 Michelle Guo with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Michelle Guo more than expected).
Fields of papers citing papers by Michelle Guo
This network shows the impact of papers produced by Michelle Guo. 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 Michelle Guo. The network helps show where Michelle Guo may publish in the future.
Co-authors
The 25 scholars most cited alongside Michelle Guo, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2019 | 78 | |
| 2 | 2020 | 38 | |
| 3 | 2023 | 19 | |
| 4 | 2019 | 17 | |
| 5 | Towards Vision-Based Smart Hospitals: A System for Tracking and Monitoring Hand Hygiene Compliance | 2017 | 7 |
| 6 | 3D Point Cloud-Based Visual Prediction of ICU Mobility Care Activities. | 2018 | 5 |
| 7 | 2020 | 4 | |
| 8 | The Frequency of Lithium-Rich Giants in Globular Clusters | 2016 | 0 |
| 9 | 2024 | 0 |
About Michelle Guo
Michelle Guo is a scholar working on Control and Systems Engineering, Computer Vision and Pattern Recognition, Computational Mechanics, Infectious Diseases and Critical Care and Intensive Care Medicine, having authored 9 papers that have together received 168 indexed citations. Recurring topics across this work include 3D Shape Modeling and Analysis (2 papers), Robot Manipulation and Learning (2 papers), Historical Geography and Cartography (1 paper), Infection Control in Healthcare (1 paper), Video Surveillance and Tracking Methods (1 paper), Image Processing and 3D Reconstruction (1 paper), Crystal Structures and Properties (1 paper) and Intensive Care Unit Cognitive Disorders (1 paper). The work is most often cited by research in Health Informatics (20 citations), General Dentistry (7 citations), Computer Vision and Pattern Recognition (42 citations), Medical Laboratory Technology (3 citations) and Critical Care and Intensive Care Medicine (10 citations). Michelle Guo has collaborated with scholars based in United States and Switzerland. Frequent co-authors include Li Fei-Fei, William Beninati, Serena Yeung, Arnold Milstein, Alexandre Alahi, Albert Haque, N. Lance Downing, Kayla Deru, Jeffrey K. Jopling and Bingbin Liu. Their work appears in journals such as IEEE Robotics and Automation Letters, Journal of the American Medical Informatics Association, npj Digital Medicine, Infoscience (Ecole Polytechnique Fédérale de Lausanne) and AAS.
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.