Roberto I. Oliveira
- Artificial Intelligence top 2%
- Atomic and Molecular Physics, and Optics top 10%
- Computational Theory and Mathematics top 5%
- Statistics and Probability top 5%
- Statistical and Nonlinear Physics top 5%
- Co-authors
- Barbara M. TerhalOscar DahlstenMartin B. PlenioSergey BravyiDavid P. DiVincenzoPhilip ThompsonAlfredo N. IusemA. Jofré
- Topics
- Stochastic processes and statistical mechanics (12 papers)Markov Chains and Monte Carlo Methods (9 papers)Quantum Computing Algorithms and Architecture (8 papers)
- Partner nations
- BrazilUnited StatesUnited Kingdom
In The Last Decade
Roberto I. Oliveira
35 papers receiving 724 citations
Peers
Comparison fields: 5 of 63
- Artificial Intelligence 475
- Atomic and Molecular Physics, and Optics 309
- Computational Theory and Mathematics 151
- Statistics and Probability 111
- Statistical and Nonlinear Physics 108
Countries citing papers authored by Roberto I. Oliveira
This map shows the geographic impact of Roberto I. Oliveira'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 Roberto I. Oliveira with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Roberto I. Oliveira more than expected).
Fields of papers citing papers by Roberto I. Oliveira
This network shows the impact of papers produced by Roberto I. Oliveira. 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 Roberto I. Oliveira. The network helps show where Roberto I. Oliveira may publish in the future.
Co-authorship network of co-authors of Roberto I. Oliveira
This figure shows the co-authorship network connecting the top 25 collaborators of Roberto I. Oliveira. A scholar is included among the top collaborators of Roberto I. Oliveira 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 Roberto I. Oliveira. Roberto I. Oliveira is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 0 | |
| 3 | 2 | |
| 4 | 2 | |
| 5 | 1 | |
| 6 | 3 | |
| 7 | 1 | |
| 8 | Solving SDPs for synchronization and MaxCut problems via the Grothendieck inequality | 4 |
| 9 | 11 | |
| 10 | 77 | |
| 11 | 7 | |
| 12 | 2 | |
| 13 | 17 | |
| 14 | 45 | |
| 15 | 78 | |
| 16 | 86 | |
| 17 | 83 | |
| 18 | 9 | |
| 19 | 50 | |
| 20 | Improved randomness extraction from two independent sources | 3 |
About Roberto I. Oliveira
Roberto I. Oliveira is a scholar working on Statistics and Probability, Mathematical Physics and Artificial Intelligence, having authored 39 papers that have together received 760 indexed citations. Recurring topics across this work include Stochastic processes and statistical mechanics (12 papers), Markov Chains and Monte Carlo Methods (9 papers) and Quantum Computing Algorithms and Architecture (8 papers). The work is most often cited by research in Artificial Intelligence (475 citations), Statistics and Probability (111 citations) and Atomic and Molecular Physics, and Optics (309 citations). Roberto I. Oliveira has collaborated with scholars based in Brazil, United States and United Kingdom. Frequent co-authors include Barbara M. Terhal, Oscar Dahlsten, Martin B. Plenio, Sergey Bravyi, David P. DiVincenzo, Philip Thompson, Alfredo N. Iusem, A. Jofré, Joel Spencer and Alejandro Jofré. Their work appears in journals such as Physical Review Letters, Physical Review A and The Annals of Statistics.
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.