Maya Nasr
Impact in
- Ocean Engineering top 10%
- Underwater Vehicles and Communication Systems
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- Biomimetic flight and propulsion mechanisms
- Aerospace Engineering and Energy Systems
Papers in
-
- Astro and Planetary Science 2
- Planetary Science and Exploration 2
- Space exploration and regulation 2
- Space Science and Extraterrestrial Life 1
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- Space Exploration and Technology 2
- Aerospace Engineering and Energy Systems 1
- Co-authors
- Sophie F. Armanini (1 shared paper)Raphael Zufferey (1 shared paper)André Farinha (1 shared paper)Mirko Kovač (1 shared paper)Robert Siddall (1 shared paper)Jeffrey A. Hoffman (3 shared papers)Christopher Graves (1 shared paper)Adrian Ponce (1 shared paper)
- Journals
- Science Robotics (1 paper)Acta Astronautica (1 paper)AIAA Scitech 2020 Forum (1 paper)SSRN Electronic Journal (1 paper)
- Partner nations
- United StatesNetherlandsSwitzerland
In The Last Decade
Maya Nasr
5 papers receiving 108 citations
Peers
Comparison fields: 5 of 39
- Ocean Engineering 46
- Aerospace Engineering 54
- Condensed Matter Physics 20
- Biomedical Engineering 34
- Computer Vision and Pattern Recognition 14
Countries citing papers authored by Maya Nasr
This map shows the geographic impact of Maya Nasr'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 Maya Nasr with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Maya Nasr more than expected).
Fields of papers citing papers by Maya Nasr
This network shows the impact of papers produced by Maya Nasr. 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 Maya Nasr. The network helps show where Maya Nasr may publish in the future.
Co-authors
The 20 scholars most cited alongside Maya Nasr, 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 | 90 | |
| 2 | 2021 | 13 | |
| 3 | 2018 | 2 | |
| 4 | 2023 | 2 | |
| 5 | 2020 | 2 |
About Maya Nasr
Maya Nasr is a scholar working on Astronomy and Astrophysics, Aerospace Engineering, Ocean Engineering, Biomedical Engineering and Materials Chemistry, having authored 5 papers that have together received 109 indexed citations. Recurring topics across this work include Space Exploration and Technology (2 papers), Astro and Planetary Science (2 papers), Planetary Science and Exploration (2 papers), Space exploration and regulation (2 papers), Aerospace Engineering and Energy Systems (1 paper), Space Science and Extraterrestrial Life (1 paper), Catalytic Processes in Materials Science (1 paper) and Underwater Vehicles and Communication Systems (1 paper). The work is most often cited by research in Ocean Engineering (46 citations), Aerospace Engineering (54 citations), Condensed Matter Physics (20 citations), Biomedical Engineering (34 citations) and Computer Vision and Pattern Recognition (14 citations). Maya Nasr has collaborated with scholars based in United States, Netherlands and Switzerland. Frequent co-authors include Sophie F. Armanini, Raphael Zufferey, André Farinha, Mirko Kovač, Robert Siddall, Jeffrey A. Hoffman, Christopher Graves, Adrian Ponce, Asad M. Aboobaker and Donald Rapp. Their work appears in journals such as Science Robotics, Acta Astronautica, AIAA Scitech 2020 Forum and SSRN Electronic 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.