G. Lima
Impact in
- Acoustics and Ultrasonics top 2%
-
- Quantum Mechanics and Applications
- Orbital Angular Momentum in Optics
- Quantum optics and atomic interactions
Papers in
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- Quantum Information and Cryptography 61
- Quantum Computing Algorithms and Architecture 26
- Neural Networks and Reservoir Computing 10
-
- Quantum Mechanics and Applications 45
- Orbital Angular Momentum in Optics 13
- Quantum optics and atomic interactions 11
- Co-authors
- Guilherme B. Xavier (23 shared papers)C. Saavedra (20 shared papers)Leonardo Neves (16 shared papers)Esteban S. Gómez (29 shared papers)Gustavo Cañas (28 shared papers)S. Pádua (14 shared papers)A. Delgado (22 shared papers)Adán Cabello (15 shared papers)
In The Last Decade
G. Lima
71 papers receiving 1.5k citations
Peers
Comparison fields: 5 of 52
- Acoustics and Ultrasonics 82
- Atomic and Molecular Physics, and Optics 1.3k
- Artificial Intelligence 1.3k
- Structural Biology 9
- Electrical and Electronic Engineering 296
Countries citing papers authored by G. Lima
This map shows the geographic impact of G. Lima'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 G. Lima with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites G. Lima more than expected).
Fields of papers citing papers by G. Lima
This network shows the impact of papers produced by G. Lima. 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 G. Lima. The network helps show where G. Lima may publish in the future.
Co-authors
The 25 scholars most cited alongside G. Lima, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 74 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2005 | 184 | |
| 2 | 2020 | 122 | |
| 3 | 2017 | 96 | |
| 4 | 2013 | 94 | |
| 5 | 2011 | 73 | |
| 6 | 2015 | 54 | |
| 7 | 2007 | 52 | |
| 8 | 2020 | 50 | |
| 9 | 2009 | 45 | |
| 10 | 2018 | 39 | |
| 11 | 2016 | 39 | |
| 12 | 2013 | 38 | |
| 13 | 2011 | 35 | |
| 14 | 2014 | 33 | |
| 15 | 2010 | 33 | |
| 16 | 2014 | 30 | |
| 17 | 2020 | 28 | |
| 18 | 2018 | 26 | |
| 19 | 2018 | 25 | |
| 20 | 2014 | 25 |
About G. Lima
G. Lima is a scholar working on Artificial Intelligence, Atomic and Molecular Physics, and Optics, Electrical and Electronic Engineering, Statistical and Nonlinear Physics and Acoustics and Ultrasonics, having authored 74 papers that have together received 1.6k indexed citations. Recurring topics across this work include Quantum Information and Cryptography (61 papers), Quantum Mechanics and Applications (45 papers), Quantum Computing Algorithms and Architecture (26 papers), Optical Network Technologies (14 papers), Orbital Angular Momentum in Optics (13 papers), Quantum optics and atomic interactions (11 papers), Neural Networks and Reservoir Computing (10 papers) and Photonic and Optical Devices (6 papers). The work is most often cited by research in Acoustics and Ultrasonics (82 citations), Atomic and Molecular Physics, and Optics (1.3k citations), Artificial Intelligence (1.3k citations), Structural Biology (9 citations) and Electrical and Electronic Engineering (296 citations). G. Lima has collaborated with scholars based in Chile, Brazil and Spain. Frequent co-authors include Guilherme B. Xavier, C. Saavedra, Leonardo Neves, Esteban S. Gómez, Gustavo Cañas, S. Pádua, A. Delgado, Adán Cabello, C. H. Monken and W. A. T. Nogueira. Their work appears in journals such as Physical Review A, Physical Review Letters, Physical review. A, Optics Express and Physical Review Applied.
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.