Keith R. Motes
- Artificial Intelligence top 5%
- Atomic and Molecular Physics, and Optics top 10%
- Electrical and Electronic Engineering
- Biomedical Engineering
- Instrumentation
- Co-authors
- Jonathan P. DowlingPeter P. RohdeAlexei GilchristJonathan P. OlsonKaushik P. SeshadreesanBen Q. BaragiolaNicolas C. MenicucciDominic W. Berry
- Topics
- Quantum Information and Cryptography (13 papers)Neural Networks and Reservoir Computing (7 papers)Quantum Computing Algorithms and Architecture (5 papers)
- Partner nations
- AustraliaUnited StatesChina
In The Last Decade
Keith R. Motes
13 papers receiving 393 citations
Peers
Comparison fields: 5 of 26
- Artificial Intelligence 374
- Atomic and Molecular Physics, and Optics 254
- Electrical and Electronic Engineering 111
- Biomedical Engineering 11
- Instrumentation 9
Countries citing papers authored by Keith R. Motes
This map shows the geographic impact of Keith R. Motes'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 Keith R. Motes with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Keith R. Motes more than expected).
Fields of papers citing papers by Keith R. Motes
This network shows the impact of papers produced by Keith R. Motes. 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 Keith R. Motes. The network helps show where Keith R. Motes may publish in the future.
Co-authorship network of co-authors of Keith R. Motes
This figure shows the co-authorship network connecting the top 25 collaborators of Keith R. Motes. A scholar is included among the top collaborators of Keith R. Motes 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 Keith R. Motes. Keith R. Motes is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 15 | |
| 2 | 35 | |
| 3 | 44 | |
| 4 | 6 | |
| 5 | 19 | |
| 6 | 13 | |
| 7 | 80 | |
| 8 | 28 | |
| 9 | 36 | |
| 10 | 18 | |
| 11 | 94 | |
| 12 | 24 | |
| 13 | Phase estimation with two-mode squeezed vacuum and parity detection: Bayesian analysis | 1 |
About Keith R. Motes
Keith R. Motes is a scholar working on Artificial Intelligence, Atomic and Molecular Physics, and Optics and Electrical and Electronic Engineering, having authored 13 papers that have together received 413 indexed citations. Recurring topics across this work include Quantum Information and Cryptography (13 papers), Neural Networks and Reservoir Computing (7 papers) and Quantum Computing Algorithms and Architecture (5 papers). The work is most often cited by research in Artificial Intelligence (374 citations), Atomic and Molecular Physics, and Optics (254 citations) and Acoustics and Ultrasonics (6 citations). Keith R. Motes has collaborated with scholars based in Australia, United States and China. Frequent co-authors include Jonathan P. Dowling, Peter P. Rohde, Alexei Gilchrist, Jonathan P. Olson, Kaushik P. Seshadreesan, Ben Q. Baragiola, Nicolas C. Menicucci, Dominic W. Berry, Petr M. Anisimov and Zixin Huang. Their work appears in journals such as Physical Review Letters, 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.