Geordie Rose
- Artificial Intelligence top 2%
- Atomic and Molecular Physics, and Optics top 10%
- Computational Theory and Mathematics top 5%
- Electrical and Electronic Engineering
- Condensed Matter Physics top 10%
- Co-authors
- Alán Aspuru‐GuzikMarshall Drew-BrookNeil G. DicksonAlejandro Perdomo‐OrtizP. BunykT. LantingA. J. BerkleyMark W. Johnson
- Topics
- Quantum Information and Cryptography (10 papers)Quantum and electron transport phenomena (10 papers)Quantum Computing Algorithms and Architecture (8 papers)
- Cited by
- Artificial IntelligenceAtomic and Molecular Physics, and OpticsComputational Theory and Mathematics
- Partner nations
- United StatesCanadaGermany
In The Last Decade
Geordie Rose
17 papers receiving 674 citations
Peers
Comparison fields: 5 of 50
- Artificial Intelligence 553
- Atomic and Molecular Physics, and Optics 344
- Computational Theory and Mathematics 128
- Electrical and Electronic Engineering 82
- Condensed Matter Physics 78
Countries citing papers authored by Geordie Rose
This map shows the geographic impact of Geordie Rose'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 Geordie Rose with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Geordie Rose more than expected).
Fields of papers citing papers by Geordie Rose
This network shows the impact of papers produced by Geordie Rose. 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 Geordie Rose. The network helps show where Geordie Rose may publish in the future.
Co-authorship network of co-authors of Geordie Rose
This figure shows the co-authorship network connecting the top 25 collaborators of Geordie Rose. A scholar is included among the top collaborators of Geordie Rose 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 Geordie Rose. Geordie Rose is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | QBoost: Large Scale Classifier Training with Adiabatic Quantum Optimization. | 20 |
| 2 | 232 | |
| 3 | 20 | |
| 4 | 10 | |
| 5 | 75 | |
| 6 | 112 | |
| 7 | 102 | |
| 8 | 25 | |
| 9 | 72 | |
| 10 | 1 | |
| 11 | 3 | |
| 12 | 16 | |
| 13 | 4 | |
| 14 | 3 | |
| 15 | 16 | |
| 16 | 7 | |
| 17 | 1 |
About Geordie Rose
Geordie Rose is a scholar working on Atomic and Molecular Physics, and Optics, Artificial Intelligence and Condensed Matter Physics, having authored 17 papers that have together received 719 indexed citations. Recurring topics across this work include Quantum Information and Cryptography (10 papers), Quantum and electron transport phenomena (10 papers) and Quantum Computing Algorithms and Architecture (8 papers). The work is most often cited by research in Artificial Intelligence (553 citations), Atomic and Molecular Physics, and Optics (344 citations) and Computational Theory and Mathematics (128 citations). Geordie Rose has collaborated with scholars based in United States, Canada and Germany. Frequent co-authors include Alán Aspuru‐Guzik, Marshall Drew-Brook, Neil G. Dickson, Alejandro Perdomo‐Ortiz, P. Bunyk, T. Lanting, A. J. Berkley, Mark W. Johnson, R. Harris and E. Ladizinsky. Their work appears in journals such as Physical Review B, Scientific Reports 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.