Diego Paiva Pires
- Atomic and Molecular Physics, and Optics top 10%
- Artificial Intelligence top 5%
- Statistical and Nonlinear Physics top 5%
- Materials Chemistry
- Condensed Matter Physics
- Co-authors
- Diogo O. Soares-PintoLucas C. CéleriMarco CianciarusoGerardo AdessoTommaso MacrìEduardo R. deAzevedoJefferson G. FilgueirasKavan Modi
- Topics
- Quantum Information and Cryptography (10 papers)Quantum Mechanics and Applications (8 papers)Quantum Computing Algorithms and Architecture (6 papers)
- Cited by
- Atomic and Molecular Physics, and OpticsArtificial IntelligenceStatistical and Nonlinear Physics
- Partner nations
- BrazilUnited StatesItaly
In The Last Decade
Diego Paiva Pires
14 papers receiving 370 citations
Peers
Comparison fields: 5 of 35
- Atomic and Molecular Physics, and Optics 334
- Artificial Intelligence 296
- Statistical and Nonlinear Physics 107
- Materials Chemistry 17
- Condensed Matter Physics 15
Countries citing papers authored by Diego Paiva Pires
This map shows the geographic impact of Diego Paiva Pires'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 Diego Paiva Pires with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Diego Paiva Pires more than expected).
Fields of papers citing papers by Diego Paiva Pires
This network shows the impact of papers produced by Diego Paiva Pires. 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 Diego Paiva Pires. The network helps show where Diego Paiva Pires may publish in the future.
Co-authorship network of co-authors of Diego Paiva Pires
This figure shows the co-authorship network connecting the top 25 collaborators of Diego Paiva Pires. A scholar is included among the top collaborators of Diego Paiva Pires 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 Diego Paiva Pires. Diego Paiva Pires 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 | 4 | |
| 3 | 2 | |
| 4 | 2 | |
| 5 | 1 | |
| 6 | 12 | |
| 7 | 18 | |
| 8 | 18 | |
| 9 | 27 | |
| 10 | 5 | |
| 11 | 34 | |
| 12 | 15 | |
| 13 | 167 | |
| 14 | 79 |
About Diego Paiva Pires
Diego Paiva Pires is a scholar working on Atomic and Molecular Physics, and Optics, Statistical and Nonlinear Physics and Artificial Intelligence, having authored 14 papers that have together received 385 indexed citations. Recurring topics across this work include Quantum Information and Cryptography (10 papers), Quantum Mechanics and Applications (8 papers) and Quantum Computing Algorithms and Architecture (6 papers). The work is most often cited by research in Atomic and Molecular Physics, and Optics (334 citations), Artificial Intelligence (296 citations) and Statistical and Nonlinear Physics (107 citations). Diego Paiva Pires has collaborated with scholars based in Brazil, United States and Italy. Frequent co-authors include Diogo O. Soares-Pinto, Lucas C. Céleri, Marco Cianciaruso, Gerardo Adesso, Tommaso Macrì, Eduardo R. deAzevedo, Jefferson G. Filgueiras, Kavan Modi, Daniel Z. Rossatto and F. M. de Paula. Their work appears in journals such as Physical Review A, Physics Letters A and Physical review. B..
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.