Sara Masoud
Impact in
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- Advanced Manufacturing and Logistics Optimization
- Flexible and Reconfigurable Manufacturing Systems
- Digital Transformation in Industry
Papers in
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- Machine Learning in Healthcare 4
- Co-authors
- Ana Djuric (2 shared papers)Jeremy L. Rickli (2 shared papers)Young‐Jun Son (9 shared papers)Leslie Monplaisir (5 shared papers)Russell Tronstad (7 shared papers)Chieri Kubota (6 shared papers)Joseph Miller (4 shared papers)Ruixuan Zhang (1 shared paper)
- Journals
- International Journal of Sensor Networks (2 papers)Artificial Intelligence in Medicine (1 paper)IEEE Journal of Radio Frequency Identification (1 paper)Robotics and Computer-Integrated Manufacturing (1 paper)IEEE Sensors Journal (1 paper)
- Partner nations
- United StatesIranSouth Korea
In The Last Decade
Sara Masoud
28 papers receiving 264 citations
Peers
Comparison fields: 5 of 83
- Health Informatics 9
- Industrial and Manufacturing Engineering 44
- Health Information Management 17
- Family Practice 5
- Radiological and Ultrasound Technology 13
Countries citing papers authored by Sara Masoud
This map shows the geographic impact of Sara Masoud'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 Sara Masoud with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Sara Masoud more than expected).
Fields of papers citing papers by Sara Masoud
This network shows the impact of papers produced by Sara Masoud. 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 Sara Masoud. The network helps show where Sara Masoud may publish in the future.
Co-authors
The 19 scholars most cited alongside Sara Masoud, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 29 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2022 | 70 | |
| 2 | 2022 | 22 | |
| 3 | 2023 | 21 | |
| 4 | 2022 | 19 | |
| 5 | 2022 | 16 | |
| 6 | 2022 | 16 | |
| 7 | 2019 | 13 | |
| 8 | 2021 | 11 | |
| 9 | 2020 | 10 | |
| 10 | 2023 | 9 | |
| 11 | 2018 | 8 | |
| 12 | 2022 | 8 | |
| 13 | 2024 | 8 | |
| 14 | 2022 | 7 | |
| 15 | 2023 | 6 | |
| 16 | 2021 | 5 | |
| 17 | 2024 | 5 | |
| 18 | 2025 | 4 | |
| 19 | 2020 | 3 | |
| 20 | 2024 | 2 |
About Sara Masoud
Sara Masoud is a scholar working on Control and Systems Engineering, Artificial Intelligence, Health Information Management, Emergency Medicine and Electrical and Electronic Engineering, having authored 29 papers that have together received 273 indexed citations. Recurring topics across this work include Machine Learning in Healthcare (4 papers), Emergency and Acute Care Studies (3 papers), Indoor and Outdoor Localization Technologies (3 papers), Online and Blended Learning (2 papers), Multi-Criteria Decision Making (2 papers), Risk and Safety Analysis (2 papers), Underwater Vehicles and Communication Systems (2 papers) and Atmospheric chemistry and aerosols (2 papers). The work is most often cited by research in Health Informatics (9 citations), Industrial and Manufacturing Engineering (44 citations), Health Information Management (17 citations), Family Practice (5 citations) and Radiological and Ultrasound Technology (13 citations). Sara Masoud has collaborated with scholars based in United States, Iran and South Korea. Frequent co-authors include Ana Djuric, Jeremy L. Rickli, Young‐Jun Son, Leslie Monplaisir, Russell Tronstad, Chieri Kubota, Joseph Miller, Ruixuan Zhang, Neda Masoud and Yaoxian Huang. Their work appears in journals such as International Journal of Sensor Networks, Artificial Intelligence in Medicine, IEEE Journal of Radio Frequency Identification, Robotics and Computer-Integrated Manufacturing and IEEE Sensors Journal.
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.