M. C. de Oliveira
- Atomic and Molecular Physics, and Optics top 2%
- Artificial Intelligence top 1%
- Statistical and Nonlinear Physics top 5%
- Electrical and Electronic Engineering
- Information Systems top 10%
- Co-authors
- Marcio F. CornelioF. F. FanchiniGustavo RigolinThiago R. de OliveiraE. MirandaA. O. CaldeiraL. K. CastelanoM. H. Y. Moussa
- Topics
- Quantum Information and Cryptography (61 papers)Quantum Computing Algorithms and Architecture (29 papers)Quantum Mechanics and Applications (24 papers)
- Cited by
- Atomic and Molecular Physics, and OpticsArtificial IntelligenceStatistical and Nonlinear Physics
- Journals
- Physical Review LettersSHILAP Revista de lepidopterologíaJournal of Applied Physics
In The Last Decade
M. C. de Oliveira
76 papers receiving 1.3k citations
Peers
Comparison fields: 5 of 44
- Atomic and Molecular Physics, and Optics 1.1k
- Artificial Intelligence 1.1k
- Statistical and Nonlinear Physics 171
- Electrical and Electronic Engineering 51
- Information Systems 50
Countries citing papers authored by M. C. de Oliveira
This map shows the geographic impact of M. C. de 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 M. C. de Oliveira with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites M. C. de Oliveira more than expected).
Fields of papers citing papers by M. C. de Oliveira
This network shows the impact of papers produced by M. C. de 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 M. C. de Oliveira. The network helps show where M. C. de Oliveira may publish in the future.
Co-authorship network of co-authors of M. C. de Oliveira
This figure shows the co-authorship network connecting the top 25 collaborators of M. C. de Oliveira. A scholar is included among the top collaborators of M. C. de 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 M. C. de Oliveira. M. C. de 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 | 1 | |
| 2 | 0 | |
| 3 | 2 | |
| 4 | 5 | |
| 5 | 2 | |
| 6 | 9 | |
| 7 | 1 | |
| 8 | 8 | |
| 9 | 14 | |
| 10 | 5 | |
| 11 | 39 | |
| 12 | 31 | |
| 13 | 85 | |
| 14 | 1 | |
| 15 | 3 | |
| 16 | 6 | |
| 17 | 123 | |
| 18 | 4 | |
| 19 | 3 | |
| 20 | Ionic motion in CuI: A molecular dynamics simulation | 1 |
About M. C. de Oliveira
M. C. de Oliveira is a scholar working on Artificial Intelligence, Atomic and Molecular Physics, and Optics and Software, having authored 78 papers that have together received 1.3k indexed citations. Recurring topics across this work include Quantum Information and Cryptography (61 papers), Quantum Computing Algorithms and Architecture (29 papers) and Quantum Mechanics and Applications (24 papers). The work is most often cited by research in Atomic and Molecular Physics, and Optics (1.1k citations), Artificial Intelligence (1.1k citations) and Statistical and Nonlinear Physics (171 citations). M. C. de Oliveira has collaborated with scholars based in Brazil, Australia and Canada. Frequent co-authors include Marcio F. Cornelio, F. F. Fanchini, Gustavo Rigolin, Thiago R. de Oliveira, E. Miranda, A. O. Caldeira, L. K. Castelano, M. H. Y. Moussa, William J. Munro and S. S. Mizrahi. Their work appears in journals such as Physical Review Letters, SHILAP Revista de lepidopterología and Journal of Applied Physics.
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.