Jacob C. Curtis
- Artificial Intelligence top 10%
- Atomic and Molecular Physics, and Optics top 10%
- Electrical and Electronic Engineering
- Condensed Matter Physics
- Computational Theory and Mathematics
- Co-authors
- Robert SchoelkopfLuigi FrunzioS. M. GirvinYaxing ZhangChristopher S. WangLiang JiangBrian LesterIsaac L. Chuang
- Topics
- Quantum Information and Cryptography (7 papers)Quantum and electron transport phenomena (3 papers)Neural Networks and Reservoir Computing (3 papers)
- Partner nations
- United States
In The Last Decade
Jacob C. Curtis
8 papers receiving 233 citations
Hit Papers
Peers
Comparison fields: 5 of 28
- Artificial Intelligence 181
- Atomic and Molecular Physics, and Optics 176
- Electrical and Electronic Engineering 32
- Condensed Matter Physics 13
- Computational Theory and Mathematics 7
Countries citing papers authored by Jacob C. Curtis
This map shows the geographic impact of Jacob C. Curtis'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 Jacob C. Curtis with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jacob C. Curtis more than expected).
Fields of papers citing papers by Jacob C. Curtis
This network shows the impact of papers produced by Jacob C. Curtis. 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 Jacob C. Curtis. The network helps show where Jacob C. Curtis may publish in the future.
Co-authorship network of co-authors of Jacob C. Curtis
This figure shows the co-authorship network connecting the top 25 collaborators of Jacob C. Curtis. A scholar is included among the top collaborators of Jacob C. Curtis 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 Jacob C. Curtis. Jacob C. Curtis is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 17 | |
| 2 | 15 | |
| 3 | High-On-Off-Ratio Beam-Splitter Interaction for Gates on Bosonically Encoded Qubitsbreakdown → | 47 |
| 4 | 24 | |
| 5 | 13 | |
| 6 | 10 | |
| 7 | 106 | |
| 8 | Quantum simulation of molecular vibronic spectra on a superconducting bosonic processor | 2 |
About Jacob C. Curtis
Jacob C. Curtis is a scholar working on Acoustics and Ultrasonics, Artificial Intelligence and Atomic and Molecular Physics, and Optics, having authored 8 papers that have together received 234 indexed citations. Recurring topics across this work include Quantum Information and Cryptography (7 papers), Quantum and electron transport phenomena (3 papers) and Neural Networks and Reservoir Computing (3 papers). The work is most often cited by research in Artificial Intelligence (181 citations), Atomic and Molecular Physics, and Optics (176 citations) and Condensed Matter Physics (13 citations). Jacob C. Curtis has collaborated with scholars based in United States. Frequent co-authors include Robert Schoelkopf, Luigi Frunzio, S. M. Girvin, Yaxing Zhang, Christopher S. Wang, Liang Jiang, Brian Lester, Isaac L. Chuang, Patrick H. Vaccaro and Yvonne Y. Gao. Their work appears in journals such as Physical Review Letters, Physical Review X 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.