L. G. E. Arruda
Impact in
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- Quantum Mechanics and Applications
- Quantum and electron transport phenomena
- Spectroscopy and Quantum Chemical Studies
- Quantum optics and atomic interactions
- Quantum many-body systems
- Artificial Intelligence top 5%
- Quantum Information and Cryptography
- Quantum Computing Algorithms and Architecture
Papers in
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- Quantum Computing Algorithms and Architecture 4
- Quantum Information and Cryptography 3
- Neural Networks and Reservoir Computing 1
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- Quantum Mechanics and Applications 1
- Quantum and electron transport phenomena 1
- Co-authors
- A. O. Caldeira (2 shared papers)T. Werlang (1 shared paper)Carlos Alexandre Brasil (1 shared paper)Felipe Fanchini (3 shared papers)José Eduardo Martinho Hornos (1 shared paper)Sónia Silva (1 shared paper)Jose Augusto Oliveira Huguenin (1 shared paper)Marcos César de Oliveira (1 shared paper)
In The Last Decade
L. G. E. Arruda
2 papers receiving 380 citations
L. G. E. Arruda's Hit Papers
Peers
Comparison fields: 5 of 14
- Atomic and Molecular Physics, and Optics 370
- Artificial Intelligence 376
- Statistical and Nonlinear Physics 30
- Condensed Matter Physics 4
- Mathematical Physics 2
Countries citing papers authored by L. G. E. Arruda
This map shows the geographic impact of L. G. E. Arruda'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 L. G. E. Arruda with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites L. G. E. Arruda more than expected).
Fields of papers citing papers by L. G. E. Arruda
This network shows the impact of papers produced by L. G. E. Arruda. 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 L. G. E. Arruda. The network helps show where L. G. E. Arruda may publish in the future.
Co-authors
The 9 scholars most cited alongside L. G. E. Arruda, 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 | Non-Markovian dynamics of quantum discord Hit paper breakdown → | 2010 | 389 |
| 2 | 2012 | 2 | |
| 3 | 2025 | 0 | |
| 4 | 2025 | 0 |
About L. G. E. Arruda
L. G. E. Arruda is a scholar working on Artificial Intelligence, Atomic and Molecular Physics, and Optics, Insect Science, Renewable Energy, Sustainability and the Environment and Obstetrics and Gynecology, having authored 4 papers that have together received 391 indexed citations. Recurring topics across this work include Quantum Computing Algorithms and Architecture (4 papers), Quantum Information and Cryptography (3 papers), Quantum Mechanics and Applications (1 paper), Neural Networks and Reservoir Computing (1 paper) and Quantum and electron transport phenomena (1 paper). The work is most often cited by research in Atomic and Molecular Physics, and Optics (370 citations), Artificial Intelligence (376 citations), Statistical and Nonlinear Physics (30 citations), Condensed Matter Physics (4 citations) and Mathematical Physics (2 citations). L. G. E. Arruda has collaborated with scholars based in Brazil, Germany and Spain. Frequent co-authors include A. O. Caldeira, T. Werlang, Carlos Alexandre Brasil, Felipe Fanchini, José Eduardo Martinho Hornos, Sónia Silva, Jose Augusto Oliveira Huguenin, Marcos César de Oliveira and Reginaldo de Jesus Napolitano. Their work appears in journals such as Physical Review A, Physics Letters A and Brazilian Journal of 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.