Sarah Bergbreiter
- Condensed Matter Physics top 5%
- Micro and Nano Robotics 24
- Biomedical Engineering top 2%
- Advanced Sensor and Energy Harvesting Materials 51
- Robotic Locomotion and Control 24
- Soft Robotics and Applications 18
- Mechanical Engineering top 2%
- Modular Robots and Swarm Intelligence 29
- Advanced Materials and Mechanics 19
- Aerospace Engineering top 5%
- Biomimetic flight and propulsion mechanisms 25
- Cognitive Neuroscience top 10%
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- Advanced MEMS and NEMS Technologies 17
- Co-authors
- Ryan St. PierreKristofer S. J. PisterAaron P. GerrattDinesh K. PatelWayne A. ChuramanCarmel MajidiSukjun KimChengfeng Pan
- Journals
- Science (1 paper)Advanced Materials (1 paper)SHILAP Revista de lepidopterología (1 paper)
- Partner nations
- United StatesUnited KingdomSouth Korea
In The Last Decade
Sarah Bergbreiter
123 papers receiving 2.0k citations
Peers
Comparison fields: 5 of 106
- Condensed Matter Physics 370
- Biomedical Engineering 1.4k
- Mechanical Engineering 780
- Aerospace Engineering 331
- Cognitive Neuroscience 191
Countries citing papers authored by Sarah Bergbreiter
This map shows the geographic impact of Sarah Bergbreiter'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 Bergbreiter with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Sarah Bergbreiter more than expected).
Fields of papers citing papers by Sarah Bergbreiter
This network shows the impact of papers produced by Sarah Bergbreiter. 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 Bergbreiter. The network helps show where Sarah Bergbreiter may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Sarah Bergbreiter, 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 | 2025 | 0 | |
| 2 | 2024 | 4 | |
| 3 | 2024 | 0 | |
| 4 | 2024 | 1 | |
| 5 | 2023 | 9 | |
| 6 | 2023 | 1 | |
| 7 | 2023 | 20 | |
| 8 | 2023 | 6 | |
| 9 | 2022 | 0 | |
| 10 | 2022 | 14 | |
| 11 | 2022 | 9 | |
| 12 | 2021 | 4 | |
| 13 | 2021 | 15 | |
| 14 | 2020 | 5 | |
| 15 | 2020 | 13 | |
| 16 | 2020 | 27 | |
| 17 | 2019 | 49 | |
| 18 | 2018 | 11 | |
| 19 | Predicting the Response of an All-Elastomer In-Plane MEMS Tactile Sensor | 2016 | 0 |
| 20 | 2014 | 23 |
About Sarah Bergbreiter
Sarah Bergbreiter is a scholar working on Biomedical Engineering, Condensed Matter Physics and Aerospace Engineering, having authored 133 papers that have together received 2.1k indexed citations. Recurring topics across this work include Advanced Sensor and Energy Harvesting Materials (51 papers), Modular Robots and Swarm Intelligence (29 papers), Biomimetic flight and propulsion mechanisms (25 papers), Micro and Nano Robotics (24 papers), Robotic Locomotion and Control (24 papers), Advanced Materials and Mechanics (19 papers), Soft Robotics and Applications (18 papers) and Advanced MEMS and NEMS Technologies (17 papers). The work is most often cited by research in Condensed Matter Physics (370 citations), Biomedical Engineering (1.4k citations) and Mechanical Engineering (780 citations). Sarah Bergbreiter has collaborated with scholars based in United States, United Kingdom and South Korea. Frequent co-authors include Ryan St. Pierre, Kristofer S. J. Pister, Aaron P. Gerratt, Dinesh K. Patel, Wayne A. Churaman, Carmel Majidi, Sukjun Kim, Chengfeng Pan, S. N. Patek and Michael J. Ford. Their work appears in journals such as Science, Advanced Materials and SHILAP Revista de lepidopterología.
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.