Jonathan Romero
- Artificial Intelligence top 0.5%
- Atomic and Molecular Physics, and Optics top 2%
- Computational Theory and Mathematics top 2%
- Materials Chemistry
- Inorganic Chemistry top 10%
- Co-authors
- Alán Aspuru‐GuzikJarrod R. McCleanRyan BabbushAndrés ReyesYudong CaoJorge CharrySudip PanPratim Kumar Chattaraj
- Topics
- Advanced Chemical Physics Studies (12 papers)Quantum Computing Algorithms and Architecture (8 papers)Quantum Information and Cryptography (7 papers)
- Cited by
- Artificial IntelligenceAtomic and Molecular Physics, and OpticsComputational Theory and Mathematics
- Partner nations
- ColombiaMexicoUnited States
In The Last Decade
Jonathan Romero
24 papers receiving 2.0k citations
Hit Papers
Peers
Comparison fields: 5 of 96
- Artificial Intelligence 1.5k
- Atomic and Molecular Physics, and Optics 1.1k
- Computational Theory and Mathematics 339
- Materials Chemistry 168
- Inorganic Chemistry 167
Countries citing papers authored by Jonathan Romero
This map shows the geographic impact of Jonathan Romero'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 Jonathan Romero with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jonathan Romero more than expected).
Fields of papers citing papers by Jonathan Romero
This network shows the impact of papers produced by Jonathan Romero. 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 Jonathan Romero. The network helps show where Jonathan Romero may publish in the future.
Co-authorship network of co-authors of Jonathan Romero
This figure shows the co-authorship network connecting the top 25 collaborators of Jonathan Romero. A scholar is included among the top collaborators of Jonathan Romero 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 Jonathan Romero. Jonathan Romero is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 86 | |
| 2 | 12 | |
| 3 | Marginals optimization procedure: algorithmically extending the capability of near-term quantum computers | 1 |
| 4 | Hybrid quantum-classical schemes for generative adversarial learning: HQGANs | 1 |
| 5 | 23 | |
| 6 | 202 | |
| 7 | 5 | |
| 8 | 10 | |
| 9 | The theory of variational hybrid quantum-classical algorithmsbreakdown → | 1293 |
| 10 | 50 | |
| 11 | 30 | |
| 12 | 27 | |
| 13 | 47 | |
| 14 | 66 | |
| 15 | 12 | |
| 16 | 3 | |
| 17 | 47 | |
| 18 | 14 | |
| 19 | 38 | |
| 20 | 1 |
About Jonathan Romero
Jonathan Romero is a scholar working on Atomic and Molecular Physics, and Optics, Physical and Theoretical Chemistry and Inorganic Chemistry, having authored 24 papers that have together received 2.1k indexed citations. Recurring topics across this work include Advanced Chemical Physics Studies (12 papers), Quantum Computing Algorithms and Architecture (8 papers) and Quantum Information and Cryptography (7 papers). The work is most often cited by research in Artificial Intelligence (1.5k citations), Atomic and Molecular Physics, and Optics (1.1k citations) and Computational Theory and Mathematics (339 citations). Jonathan Romero has collaborated with scholars based in Colombia, Mexico and United States. Frequent co-authors include Alán Aspuru‐Guzik, Jarrod R. McClean, Ryan Babbush, Andrés Reyes, Yudong Cao, Jorge Charry, Sudip Pan, Pratim Kumar Chattaraj, Gabriel Merino and Roberto Flores‐Moreno. Their work appears in journals such as The Journal of Chemical Physics, PLoS ONE 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.