Emily Mount
Impact in
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- Quantum optics and atomic interactions
- Quantum and electron transport phenomena
- Cold Atom Physics and Bose-Einstein Condensates
- Quantum Mechanics and Applications
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- Quantum Information and Cryptography
- Quantum Computing Algorithms and Architecture
- Neural Networks and Reservoir Computing
Papers in
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- Quantum Information and Cryptography 4
- Quantum Computing Algorithms and Architecture 1
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- COVID-19 Clinical Research Studies 1
- SARS-CoV-2 detection and testing 1
- Co-authors
- Stephen Crain (3 shared papers)Jungsang Kim (3 shared papers)Peter Maunz (3 shared papers)Robin Harper (1 shared paper)Steven T. Flammia (1 shared paper)Kenneth R. Brown (1 shared paper)Kai Hudek (1 shared paper)Adam L. Corper (1 shared paper)
- Journals
- Journal of the Egyptian Public Health Association (1 paper)Applied Physics Letters (1 paper)Quantum Information Processing (1 paper)Frontiers in Immunology (1 paper)Physical Review A (1 paper)
- Partner nations
- United StatesAustralia
In The Last Decade
Emily Mount
6 papers receiving 123 citations
Peers
Comparison fields: 5 of 26
- Atomic and Molecular Physics, and Optics 80
- Artificial Intelligence 86
- Infectious Diseases 20
- Neurology 6
- Hardware and Architecture 3
Countries citing papers authored by Emily Mount
This map shows the geographic impact of Emily Mount'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 Emily Mount with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Emily Mount more than expected).
Fields of papers citing papers by Emily Mount
This network shows the impact of papers produced by Emily Mount. 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 Emily Mount. The network helps show where Emily Mount may publish in the future.
Co-authors
The 22 scholars most cited alongside Emily Mount, 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 | 2015 | 44 | |
| 2 | 2014 | 37 | |
| 3 | 2020 | 20 | |
| 4 | 2015 | 19 | |
| 5 | The Presence of Goxiella burneti (Q Fever) in Egypt. | 1952 | 3 |
| 6 | 2013 | 3 |
About Emily Mount
Emily Mount is a scholar working on Artificial Intelligence, Infectious Diseases, Atomic and Molecular Physics, and Optics, Parasitology and Statistical and Nonlinear Physics, having authored 6 papers that have together received 126 indexed citations. Recurring topics across this work include Quantum Information and Cryptography (4 papers), Cold Atom Physics and Bose-Einstein Condensates (2 papers), Quantum chaos and dynamical systems (1 paper), COVID-19 Clinical Research Studies (1 paper), Quantum Computing Algorithms and Architecture (1 paper), Mechanical and Optical Resonators (1 paper), SARS-CoV-2 detection and testing (1 paper) and Mosquito-borne diseases and control (1 paper). The work is most often cited by research in Atomic and Molecular Physics, and Optics (80 citations), Artificial Intelligence (86 citations), Infectious Diseases (20 citations), Neurology (6 citations) and Hardware and Architecture (3 citations). Emily Mount has collaborated with scholars based in United States and Australia. Frequent co-authors include Stephen Crain, Jungsang Kim, Peter Maunz, Robin Harper, Steven T. Flammia, Kenneth R. Brown, Kai Hudek, Adam L. Corper, Christine Tumanut and Tawfik Aboellail. Their work appears in journals such as Journal of the Egyptian Public Health Association, Applied Physics Letters, Quantum Information Processing, Frontiers in Immunology and Physical Review A.
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.