Inbar Fried
Impact in
- Obstetrics and Gynecology top 10%
- Pregnancy and preeclampsia studies
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- Infant Development and Preterm Care
- Birth, Development, and Health
Papers in
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- Soft Robotics and Applications 7
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- Robotic Path Planning Algorithms 3
- Co-authors
- Isaac S. Kohane (5 shared papers)Andrew L. Beam (5 shared papers)Nathan Palmer (5 shared papers)Anna D. Sinaiko (2 shared papers)Joanne Armstrong (2 shared papers)Gabriel A. Brat (2 shared papers)Denis Agniel (2 shared papers)John A. F. Zupancic (2 shared papers)
- Journals
- PLoS ONE (2 papers)Science Robotics (1 paper)BJOG An International Journal of Obstetrics & Gynaecology (1 paper)American Journal of Obstetrics and Gynecology (1 paper)IEEE Transactions on Robotics (1 paper)
- Partner nations
- United StatesAustraliaIsrael
In The Last Decade
Inbar Fried
16 papers receiving 332 citations
Peers
Comparison fields: 5 of 89
- Obstetrics and Gynecology 42
- Pediatrics, Perinatology and Child Health 103
- Health Informatics 7
- Medical Laboratory Technology 6
- Pulmonary and Respiratory Medicine 67
Countries citing papers authored by Inbar Fried
This map shows the geographic impact of Inbar Fried'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 Inbar Fried with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Inbar Fried more than expected).
Fields of papers citing papers by Inbar Fried
This network shows the impact of papers produced by Inbar Fried. 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 Inbar Fried. The network helps show where Inbar Fried may publish in the future.
Co-authors
The 25 scholars most cited alongside Inbar Fried, 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 | 2020 | 116 | |
| 2 | 2019 | 33 | |
| 3 | 2015 | 30 | |
| 4 | 2023 | 29 | |
| 5 | 2021 | 24 | |
| 6 | 2017 | 23 | |
| 7 | 2019 | 21 | |
| 8 | Clinical Concept Embeddings Learned from Massive Sources of Medical Data. | 2018 | 17 |
| 9 | 2020 | 14 | |
| 10 | 2020 | 6 | |
| 11 | 2017 | 6 | |
| 12 | 2021 | 5 | |
| 13 | 2023 | 5 | |
| 14 | 2022 | 4 | |
| 15 | 2020 | 2 | |
| 16 | 2025 | 1 | |
| 17 | 2023 | 0 |
About Inbar Fried
Inbar Fried is a scholar working on Biomedical Engineering, Computer Vision and Pattern Recognition, Aerospace Engineering, Surgery and Molecular Biology, having authored 17 papers that have together received 336 indexed citations. Recurring topics across this work include Soft Robotics and Applications (7 papers), Robotics and Sensor-Based Localization (5 papers), Robotic Path Planning Algorithms (3 papers), Computational Drug Discovery Methods (2 papers), Birth, Development, and Health (2 papers), Surgical Simulation and Training (2 papers), Child and Adolescent Health (2 papers) and Machine Learning in Bioinformatics (1 paper). The work is most often cited by research in Obstetrics and Gynecology (42 citations), Pediatrics, Perinatology and Child Health (103 citations), Health Informatics (7 citations), Medical Laboratory Technology (6 citations) and Pulmonary and Respiratory Medicine (67 citations). Inbar Fried has collaborated with scholars based in United States, Australia and Israel. Frequent co-authors include Isaac S. Kohane, Andrew L. Beam, Nathan Palmer, Anna D. Sinaiko, Joanne Armstrong, Gabriel A. Brat, Denis Agniel, John A. F. Zupancic, Kathe Fox and Jason Akulian. Their work appears in journals such as PLoS ONE, Science Robotics, BJOG An International Journal of Obstetrics & Gynaecology, American Journal of Obstetrics and Gynecology and IEEE Transactions on Robotics.
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.