Ranieri Nery
Impact in
- Artificial Intelligence top 5%
- Quantum Information and Cryptography
- Quantum Computing Algorithms and Architecture
- Bayesian Modeling and Causal Inference
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- Quantum Mechanics and Applications
- Mechanical and Optical Resonators
- Quantum optics and atomic interactions
Papers in
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- Quantum Information and Cryptography 14
- Quantum Computing Algorithms and Architecture 1
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- Quantum Mechanics and Applications 12
- Co-authors
- Rafael Chaves (15 shared papers)Stephen Patrick Walborn (3 shared papers)G. H. Aguilar (3 shared papers)P. H. Souto Ribeiro (1 shared paper)Daniel Cavalcanti (1 shared paper)Paul Skrzypczyk (1 shared paper)Samuraí Brito (4 shared papers)Johan Åberg (1 shared paper)
- Journals
- Physical Review A (9 papers)Physical Review Letters (3 papers)PRX Quantum (2 papers)npj Quantum Information (2 papers)Nature Communications (1 paper)
- Partner nations
- BrazilUnited KingdomSpain
In The Last Decade
Ranieri Nery
20 papers receiving 371 citations
Peers
Comparison fields: 5 of 10
- Artificial Intelligence 309
- Atomic and Molecular Physics, and Optics 186
- Statistical and Nonlinear Physics 7
- Nuclear and High Energy Physics 6
- Numerical Analysis 1
Countries citing papers authored by Ranieri Nery
This map shows the geographic impact of Ranieri Nery'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 Ranieri Nery with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ranieri Nery more than expected).
Fields of papers citing papers by Ranieri Nery
This network shows the impact of papers produced by Ranieri Nery. 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 Ranieri Nery. The network helps show where Ranieri Nery may publish in the future.
Co-authors
The 22 scholars most cited alongside Ranieri Nery, 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 | 2015 | 169 | |
| 2 | 2020 | 49 | |
| 3 | 2020 | 33 | |
| 4 | 2020 | 25 | |
| 5 | 2021 | 21 | |
| 6 | 2022 | 16 | |
| 7 | 2018 | 13 | |
| 8 | 2020 | 10 | |
| 9 | 2021 | 9 | |
| 10 | 2016 | 6 | |
| 11 | 2022 | 6 | |
| 12 | 2023 | 5 | |
| 13 | 2022 | 4 | |
| 14 | 2025 | 4 | |
| 15 | 2023 | 3 | |
| 16 | 2020 | 2 | |
| 17 | 2021 | 2 | |
| 18 | 2024 | 2 | |
| 19 | 2022 | 1 | |
| 20 | 2023 | 1 |
About Ranieri Nery
Ranieri Nery is a scholar working on Artificial Intelligence, Atomic and Molecular Physics, and Optics, Statistical and Nonlinear Physics, Management Science and Operations Research and Nuclear Energy and Engineering, having authored 20 papers that have together received 381 indexed citations. Recurring topics across this work include Quantum Information and Cryptography (14 papers), Quantum Mechanics and Applications (12 papers), Quantum Computing Algorithms and Architecture (1 paper), Game Theory and Applications (1 paper) and Advanced Thermodynamics and Statistical Mechanics (1 paper). The work is most often cited by research in Artificial Intelligence (309 citations), Atomic and Molecular Physics, and Optics (186 citations), Statistical and Nonlinear Physics (7 citations), Nuclear and High Energy Physics (6 citations) and Numerical Analysis (1 citation). Ranieri Nery has collaborated with scholars based in Brazil, United Kingdom and Spain. Frequent co-authors include Rafael Chaves, Stephen Patrick Walborn, G. H. Aguilar, P. H. Souto Ribeiro, Daniel Cavalcanti, Paul Skrzypczyk, Samuraí Brito, Johan Åberg, Márcio M. Taddei and Leandro Aolita. Their work appears in journals such as Physical Review A, Physical Review Letters, PRX Quantum, npj Quantum Information and Nature Communications.
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.