Xavier Bonet-Monroig
- Artificial Intelligence top 5%
- Atomic and Molecular Physics, and Optics top 10%
- Computational Theory and Mathematics top 10%
- Electrical and Electronic Engineering
- Materials Chemistry
- Co-authors
- Thomas E. O’BrienRamiro SagastizabalMeenakshi SinghBruno SenjeanL. DiCarloHao WangFrancesco BudaThomas Bäck
- Topics
- Quantum Information and Cryptography (7 papers)Quantum Computing Algorithms and Architecture (7 papers)Quantum and electron transport phenomena (3 papers)
- Cited by
- Artificial IntelligenceAtomic and Molecular Physics, and OpticsComputational Theory and Mathematics
- Journals
- Physical review. Anpj Quantum InformationarXiv (Cornell University)
- Partner nations
- NetherlandsSwitzerlandFrance
In The Last Decade
Xavier Bonet-Monroig
7 papers receiving 343 citations
Peers
Comparison fields: 5 of 28
- Artificial Intelligence 319
- Atomic and Molecular Physics, and Optics 196
- Computational Theory and Mathematics 50
- Electrical and Electronic Engineering 36
- Materials Chemistry 15
Countries citing papers authored by Xavier Bonet-Monroig
This map shows the geographic impact of Xavier Bonet-Monroig'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 Xavier Bonet-Monroig with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Xavier Bonet-Monroig more than expected).
Fields of papers citing papers by Xavier Bonet-Monroig
This network shows the impact of papers produced by Xavier Bonet-Monroig. 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 Xavier Bonet-Monroig. The network helps show where Xavier Bonet-Monroig may publish in the future.
Co-authorship network of co-authors of Xavier Bonet-Monroig
This figure shows the co-authorship network connecting the top 25 collaborators of Xavier Bonet-Monroig. A scholar is included among the top collaborators of Xavier Bonet-Monroig 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 Xavier Bonet-Monroig. Xavier Bonet-Monroig is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 5 | |
| 2 | 56 | |
| 3 | 1 | |
| 4 | 78 | |
| 5 | 1 | |
| 6 | 55 | |
| 7 | 151 |
About Xavier Bonet-Monroig
Xavier Bonet-Monroig is a scholar working on Artificial Intelligence, Computational Theory and Mathematics and Atomic and Molecular Physics, and Optics, having authored 7 papers that have together received 347 indexed citations. Recurring topics across this work include Quantum Information and Cryptography (7 papers), Quantum Computing Algorithms and Architecture (7 papers) and Quantum and electron transport phenomena (3 papers). The work is most often cited by research in Artificial Intelligence (319 citations), Atomic and Molecular Physics, and Optics (196 citations) and Computational Theory and Mathematics (50 citations). Xavier Bonet-Monroig has collaborated with scholars based in Netherlands, Switzerland and France. Frequent co-authors include Thomas E. O’Brien, Ramiro Sagastizabal, Meenakshi Singh, Bruno Senjean, L. DiCarlo, Hao Wang, Francesco Buda, Thomas Bäck, Vedran Dunjko and Lucas Visscher. Their work appears in journals such as Physical review. A, npj Quantum Information and arXiv (Cornell University).
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.