Nadja K. Bernardes
- Artificial Intelligence top 5%
- Atomic and Molecular Physics, and Optics top 10%
- Statistical and Nonlinear Physics top 5%
- Electrical and Electronic Engineering
- Materials Chemistry
- Co-authors
- Peter van LoockMarcelo F. SantosC. H. MonkenA. R. R. CarvalhoFabio SciarrinoPaolo MataloniAdeline OrieuxÁlvaro Cuevas
- Topics
- Quantum Information and Cryptography (20 papers)Quantum Computing Algorithms and Architecture (14 papers)Quantum Mechanics and Applications (13 papers)
In The Last Decade
Nadja K. Bernardes
20 papers receiving 367 citations
Peers
Comparison fields: 5 of 37
- Artificial Intelligence 322
- Atomic and Molecular Physics, and Optics 309
- Statistical and Nonlinear Physics 116
- Electrical and Electronic Engineering 12
- Materials Chemistry 12
Countries citing papers authored by Nadja K. Bernardes
This map shows the geographic impact of Nadja K. Bernardes'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 Nadja K. Bernardes with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Nadja K. Bernardes more than expected).
Fields of papers citing papers by Nadja K. Bernardes
This network shows the impact of papers produced by Nadja K. Bernardes. 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 Nadja K. Bernardes. The network helps show where Nadja K. Bernardes may publish in the future.
Co-authorship network of co-authors of Nadja K. Bernardes
This figure shows the co-authorship network connecting the top 25 collaborators of Nadja K. Bernardes. A scholar is included among the top collaborators of Nadja K. Bernardes 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 Nadja K. Bernardes. Nadja K. Bernardes 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 | 2 | |
| 3 | 1 | |
| 4 | 2 | |
| 5 | 1 | |
| 6 | 0 | |
| 7 | 1 | |
| 8 | 10 | |
| 9 | 6 | |
| 10 | 19 | |
| 11 | 12 | |
| 12 | 14 | |
| 13 | 88 | |
| 14 | 51 | |
| 15 | 43 | |
| 16 | 13 | |
| 17 | 49 | |
| 18 | 16 | |
| 19 | 1 | |
| 20 | 19 |
About Nadja K. Bernardes
Nadja K. Bernardes is a scholar working on Artificial Intelligence, Atomic and Molecular Physics, and Optics and Statistical and Nonlinear Physics, having authored 22 papers that have together received 375 indexed citations. Recurring topics across this work include Quantum Information and Cryptography (20 papers), Quantum Computing Algorithms and Architecture (14 papers) and Quantum Mechanics and Applications (13 papers). The work is most often cited by research in Artificial Intelligence (322 citations), Atomic and Molecular Physics, and Optics (309 citations) and Statistical and Nonlinear Physics (116 citations). Nadja K. Bernardes has collaborated with scholars based in Brazil, Germany and Spain. Frequent co-authors include Peter van Loock, Marcelo F. Santos, C. H. Monken, A. R. R. Carvalho, Fabio Sciarrino, Paolo Mataloni, Adeline Orieux, Álvaro Cuevas, Hermann Kampermann and Dagmar Bruß. Their work appears in journals such as Physical Review Letters, The Journal of Physical Chemistry and Scientific Reports.
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.