Carl A. Miller
- Artificial Intelligence top 5%
- Atomic and Molecular Physics, and Optics top 10%
- Computational Theory and Mathematics top 10%
- Computer Vision and Pattern Recognition
- Statistical and Nonlinear Physics
- Co-authors
- Yaoyun ShiHonghao FuRahul JainEmanuel KnillYanbao ZhangAlan MinkMartin J. StevensLynden K. Shalm
- Topics
- Quantum Mechanics and Applications (13 papers)Quantum Computing Algorithms and Architecture (12 papers)Quantum Information and Cryptography (12 papers)
- Cited by
- Artificial IntelligenceAtomic and Molecular Physics, and OpticsComputational Theory and Mathematics
- Journals
- Physical Review LettersSHILAP Revista de lepidopterologíaIEEE Transactions on Information Theory
- Partner nations
- United StatesCanadaSpain
In The Last Decade
Carl A. Miller
16 papers receiving 249 citations
Peers
Comparison fields: 5 of 30
- Artificial Intelligence 215
- Atomic and Molecular Physics, and Optics 209
- Computational Theory and Mathematics 43
- Computer Vision and Pattern Recognition 15
- Statistical and Nonlinear Physics 14
Countries citing papers authored by Carl A. Miller
This map shows the geographic impact of Carl A. Miller'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 Carl A. Miller with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Carl A. Miller more than expected).
Fields of papers citing papers by Carl A. Miller
This network shows the impact of papers produced by Carl A. Miller. 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 Carl A. Miller. The network helps show where Carl A. Miller may publish in the future.
Co-authorship network of co-authors of Carl A. Miller
This figure shows the co-authorship network connecting the top 25 collaborators of Carl A. Miller. A scholar is included among the top collaborators of Carl A. Miller 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 Carl A. Miller. Carl A. Miller is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 1 | |
| 3 | 0 | |
| 4 | 24 | |
| 5 | 39 | |
| 6 | 7 | |
| 7 | 11 | |
| 8 | 5 | |
| 9 | 43 | |
| 10 | 6 | |
| 11 | 60 | |
| 12 | Universal security for randomness expansion | 4 |
| 13 | 37 | |
| 14 | 3 | |
| 15 | 3 | |
| 16 | 4 | |
| 17 | 11 | |
| 18 | Robust self-testing quantum states and binary nonlocal XOR games | 1 |
About Carl A. Miller
Carl A. Miller is a scholar working on Artificial Intelligence, Atomic and Molecular Physics, and Optics and Discrete Mathematics and Combinatorics, having authored 18 papers that have together received 259 indexed citations. Recurring topics across this work include Quantum Mechanics and Applications (13 papers), Quantum Computing Algorithms and Architecture (12 papers) and Quantum Information and Cryptography (12 papers). The work is most often cited by research in Artificial Intelligence (215 citations), Atomic and Molecular Physics, and Optics (209 citations) and Computational Theory and Mathematics (43 citations). Carl A. Miller has collaborated with scholars based in United States, Canada and Spain. Frequent co-authors include Yaoyun Shi, Honghao Fu, Rahul Jain, Emanuel Knill, Yanbao Zhang, Alan Mink, Martin J. Stevens, Lynden K. Shalm, Michael D. Mazurek and Carlos Abellán. Their work appears in journals such as Physical Review Letters, SHILAP Revista de lepidopterología and IEEE Transactions on Information Theory.
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.