Víctor Montenegro
- Atomic and Molecular Physics, and Optics top 10%
- Artificial Intelligence top 5%
- Electrical and Electronic Engineering
- Statistical and Nonlinear Physics top 10%
- Ocean Engineering
- Co-authors
- Abolfazl BayatUtkarsh MishraSougato BoseMiguel OrszagMatteo G. A. ParisMarco G. GenoniFabiano M. AndradeAlessandro Ferraro
- Topics
- Quantum Information and Cryptography (18 papers)Mechanical and Optical Resonators (12 papers)Advanced Thermodynamics and Statistical Mechanics (6 papers)
- Cited by
- Atomic and Molecular Physics, and OpticsArtificial IntelligenceStatistical and Nonlinear Physics
- Partner nations
- ChinaChileUnited Kingdom
In The Last Decade
Víctor Montenegro
22 papers receiving 306 citations
Hit Papers
Peers
Comparison fields: 5 of 24
- Atomic and Molecular Physics, and Optics 267
- Artificial Intelligence 221
- Electrical and Electronic Engineering 55
- Statistical and Nonlinear Physics 45
- Ocean Engineering 6
Countries citing papers authored by Víctor Montenegro
This map shows the geographic impact of Víctor Montenegro'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 Víctor Montenegro with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Víctor Montenegro more than expected).
Fields of papers citing papers by Víctor Montenegro
This network shows the impact of papers produced by Víctor Montenegro. 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 Víctor Montenegro. The network helps show where Víctor Montenegro may publish in the future.
Co-authorship network of co-authors of Víctor Montenegro
This figure shows the co-authorship network connecting the top 25 collaborators of Víctor Montenegro. A scholar is included among the top collaborators of Víctor Montenegro 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 Víctor Montenegro. Víctor Montenegro is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | Review: Quantum metrology and sensing with many-body systemsbreakdown → | 18 |
| 2 | 2 | |
| 3 | 4 | |
| 4 | 0 | |
| 5 | 7 | |
| 6 | 33 | |
| 7 | 8 | |
| 8 | 25 | |
| 9 | 18 | |
| 10 | 56 | |
| 11 | 1 | |
| 12 | 7 | |
| 13 | 4 | |
| 14 | 18 | |
| 15 | 16 | |
| 16 | 11 | |
| 17 | 35 | |
| 18 | 11 | |
| 19 | 12 | |
| 20 | 12 |
About Víctor Montenegro
Víctor Montenegro is a scholar working on Atomic and Molecular Physics, and Optics, Artificial Intelligence and Statistical and Nonlinear Physics, having authored 23 papers that have together received 313 indexed citations. Recurring topics across this work include Quantum Information and Cryptography (18 papers), Mechanical and Optical Resonators (12 papers) and Advanced Thermodynamics and Statistical Mechanics (6 papers). The work is most often cited by research in Atomic and Molecular Physics, and Optics (267 citations), Artificial Intelligence (221 citations) and Statistical and Nonlinear Physics (45 citations). Víctor Montenegro has collaborated with scholars based in China, Chile and United Kingdom. Frequent co-authors include Abolfazl Bayat, Utkarsh Mishra, Sougato Bose, Miguel Orszag, Matteo G. A. Paris, Marco G. Genoni, Fabiano M. Andrade, Alessandro Ferraro, E. Vernek and Saubhik Sarkar. Their work appears in journals such as Physical Review Letters, Physics 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.