Jonathan Romero
- Artificial Intelligence top 0.5%
- Quantum Computing Algorithms and Architecture 8
- Quantum Information and Cryptography 7
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- Advanced Chemical Physics Studies 12
- Spectroscopy and Quantum Chemical Studies 6
- Atomic and Molecular Physics 3
- Inorganic Chemistry top 10%
- Inorganic Fluorides and Related Compounds 5
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- Chemical Reactions and Isotopes 2
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- Molecular Spectroscopy and Structure 2
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
- Inorganic Chemistry 167
- Computational Mathematics 7
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
The 25 scholars most cited alongside Jonathan Romero, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2022 | 86 | |
| 2 | 2021 | 12 | |
| 3 | Marginals optimization procedure: algorithmically extending the capability of near-term quantum computers | 2019 | 1 |
| 4 | Hybrid quantum-classical schemes for generative adversarial learning: HQGANs | 2019 | 1 |
| 5 | 2018 | 23 | |
| 6 | 2018 | 202 | |
| 7 | 2018 | 5 | |
| 8 | 2016 | 10 | |
| 9 | The theory of variational hybrid quantum-classical algorithmsbreakdown → | 2016 | 1293 |
| 10 | 2013 | 50 | |
| 11 | 2013 | 30 | |
| 12 | 2013 | 27 | |
| 13 | 2013 | 47 | |
| 14 | 2013 | 66 | |
| 15 | 2013 | 12 | |
| 16 | 2013 | 3 | |
| 17 | 2013 | 47 | |
| 18 | 2012 | 14 | |
| 19 | 2011 | 38 | |
| 20 | 2010 | 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), Quantum Information and Cryptography (7 papers), Spectroscopy and Quantum Chemical Studies (6 papers), Inorganic Fluorides and Related Compounds (5 papers), Atomic and Molecular Physics (3 papers), Chemical Reactions and Isotopes (2 papers) and Molecular Spectroscopy and Structure (2 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.