Elizabeth Crosson
- Artificial Intelligence top 10%
- Atomic and Molecular Physics, and Optics
- Computational Theory and Mathematics
- Statistical and Nonlinear Physics
- Condensed Matter Physics
- Co-authors
- Daniel A. LidarFernando G. S. L. BrandãoJohn R. BowenMehmet ŞahinogluJohannes BauschTameem AlbashItay HenA. P. Young
- Topics
- Quantum Computing Algorithms and Architecture (6 papers)Quantum Information and Cryptography (5 papers)Quantum and electron transport phenomena (3 papers)
- Cited by
- Artificial IntelligenceAtomic and Molecular Physics, and OpticsComputational Theory and Mathematics
- Partner nations
- United StatesUnited KingdomChina
In The Last Decade
Elizabeth Crosson
8 papers receiving 177 citations
Peers
Comparison fields: 5 of 19
- Artificial Intelligence 154
- Atomic and Molecular Physics, and Optics 101
- Computational Theory and Mathematics 23
- Statistical and Nonlinear Physics 14
- Condensed Matter Physics 9
Countries citing papers authored by Elizabeth Crosson
This map shows the geographic impact of Elizabeth Crosson'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 Elizabeth Crosson with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Elizabeth Crosson more than expected).
Fields of papers citing papers by Elizabeth Crosson
This network shows the impact of papers produced by Elizabeth Crosson. 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 Elizabeth Crosson. The network helps show where Elizabeth Crosson may publish in the future.
Co-authorship network of co-authors of Elizabeth Crosson
This figure shows the co-authorship network connecting the top 25 collaborators of Elizabeth Crosson. A scholar is included among the top collaborators of Elizabeth Crosson based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Elizabeth Crosson. Elizabeth Crosson is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 18 | |
| 2 | 85 | |
| 3 | 14 | |
| 4 | 41 | |
| 5 | 9 | |
| 6 | Quantum information in quantum cognition | 3 |
| 7 | 7 | |
| 8 | 2 |
About Elizabeth Crosson
Elizabeth Crosson is a scholar working on Atomic and Molecular Physics, and Optics, Artificial Intelligence and Statistical and Nonlinear Physics, having authored 8 papers that have together received 179 indexed citations. Recurring topics across this work include Quantum Computing Algorithms and Architecture (6 papers), Quantum Information and Cryptography (5 papers) and Quantum and electron transport phenomena (3 papers). The work is most often cited by research in Artificial Intelligence (154 citations), Atomic and Molecular Physics, and Optics (101 citations) and Computational Theory and Mathematics (23 citations). Elizabeth Crosson has collaborated with scholars based in United States, United Kingdom and China. Frequent co-authors include Daniel A. Lidar, Fernando G. S. L. Brandão, John R. Bowen, Mehmet Şahinoglu, Johannes Bausch, Tameem Albash, Itay Hen, A. P. Young and Nicole Yunger Halpern. Their work appears in journals such as Physical Review Letters, Nature Reviews Physics and npj Quantum Information.
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.