F. A. Calderon-Vargas
- Artificial Intelligence top 5%
- Atomic and Molecular Physics, and Optics
- Electrical and Electronic Engineering
- Computational Theory and Mathematics top 10%
- Computer Networks and Communications
- Co-authors
- Sophia E. EconomouJ. P. KestnerGeorge S. BarronNicholas J. MayhallEdwin BarnesXiu–Hao DengA. J. SigillitoFei Zhuang
- Topics
- Quantum Information and Cryptography (12 papers)Quantum and electron transport phenomena (11 papers)Quantum Computing Algorithms and Architecture (11 papers)
- Cited by
- Artificial IntelligenceAtomic and Molecular Physics, and OpticsComputational Theory and Mathematics
- Partner nations
- United StatesChina
In The Last Decade
F. A. Calderon-Vargas
16 papers receiving 275 citations
Peers
Comparison fields: 5 of 22
- Artificial Intelligence 240
- Atomic and Molecular Physics, and Optics 162
- Electrical and Electronic Engineering 53
- Computational Theory and Mathematics 41
- Computer Networks and Communications 7
Countries citing papers authored by F. A. Calderon-Vargas
This map shows the geographic impact of F. A. Calderon-Vargas'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 F. A. Calderon-Vargas with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites F. A. Calderon-Vargas more than expected).
Fields of papers citing papers by F. A. Calderon-Vargas
This network shows the impact of papers produced by F. A. Calderon-Vargas. 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 F. A. Calderon-Vargas. The network helps show where F. A. Calderon-Vargas may publish in the future.
Co-authorship network of co-authors of F. A. Calderon-Vargas
This figure shows the co-authorship network connecting the top 25 collaborators of F. A. Calderon-Vargas. A scholar is included among the top collaborators of F. A. Calderon-Vargas 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 F. A. Calderon-Vargas. F. A. Calderon-Vargas 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 | 4 | |
| 3 | 114 | |
| 4 | 7 | |
| 5 | 25 | |
| 6 | Improving the Performance of Quantum Approximate Optimization Algorithm Through an Adaptive, Problem-Tailored Ansatz | 2 |
| 7 | 8 | |
| 8 | 5 | |
| 9 | 23 | |
| 10 | 14 | |
| 11 | 6 | |
| 12 | 20 | |
| 13 | 4 | |
| 14 | 1 | |
| 15 | 14 | |
| 16 | 16 |
About F. A. Calderon-Vargas
F. A. Calderon-Vargas is a scholar working on Artificial Intelligence, Atomic and Molecular Physics, and Optics and Hardware and Architecture, having authored 16 papers that have together received 280 indexed citations. Recurring topics across this work include Quantum Information and Cryptography (12 papers), Quantum and electron transport phenomena (11 papers) and Quantum Computing Algorithms and Architecture (11 papers). The work is most often cited by research in Artificial Intelligence (240 citations), Atomic and Molecular Physics, and Optics (162 citations) and Computational Theory and Mathematics (41 citations). F. A. Calderon-Vargas has collaborated with scholars based in United States and China. Frequent co-authors include Sophia E. Economou, J. P. Kestner, George S. Barron, Nicholas J. Mayhall, Edwin Barnes, Edwin Barnes, Xiu–Hao Deng, A. J. Sigillito, Fei Zhuang and Xin Wang. Their work appears in journals such as Physical Review Letters, Physical Review B and Physical review. B..
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.