Carolina Alves
- Artificial Intelligence top 2%
- Atomic and Molecular Physics, and Optics top 5%
- Finance top 10%
- Statistical and Nonlinear Physics top 10%
- General Economics, Econometrics and Finance top 10%
- Co-authors
- Artur EkertPaweł HorodeckiDaniel K. L. OiL. C. KwekMichał HorodeckiDieter JakschFabio Antonio BovinoAlexander V. Sergienko
- Topics
- Quantum Information and Cryptography (11 papers)Quantum Mechanics and Applications (9 papers)Quantum Computing Algorithms and Architecture (9 papers)
- Journals
- Physical Review LettersSHILAP Revista de lepidopterologíaPhysical Review A
- Partner nations
- United KingdomSingaporePoland
In The Last Decade
Carolina Alves
21 papers receiving 692 citations
Hit Papers
Peers
Comparison fields: 5 of 70
- Artificial Intelligence 518
- Atomic and Molecular Physics, and Optics 503
- Finance 74
- Statistical and Nonlinear Physics 52
- General Economics, Econometrics and Finance 43
Countries citing papers authored by Carolina Alves
This map shows the geographic impact of Carolina Alves'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 Carolina Alves with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Carolina Alves more than expected).
Fields of papers citing papers by Carolina Alves
This network shows the impact of papers produced by Carolina Alves. 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 Carolina Alves. The network helps show where Carolina Alves may publish in the future.
Co-authorship network of co-authors of Carolina Alves
This figure shows the co-authorship network connecting the top 25 collaborators of Carolina Alves. A scholar is included among the top collaborators of Carolina Alves 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 Carolina Alves. Carolina Alves 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 | 13 | |
| 3 | 0 | |
| 4 | 4 | |
| 5 | International financial subordination: a critical research agendabreakdown → | 110 |
| 6 | 0 | |
| 7 | 3 | |
| 8 | 4 | |
| 9 | 3 | |
| 10 | 6 | |
| 11 | 4 | |
| 12 | 12 | |
| 13 | 123 | |
| 14 | 14 | |
| 15 | Detection of quantum entanglement in physical systems | 1 |
| 16 | Controlled generation of graph states for quantum computation in spin chains | 3 |
| 17 | 72 | |
| 18 | 23 | |
| 19 | 29 | |
| 20 | 281 |
About Carolina Alves
Carolina Alves is a scholar working on General Economics, Econometrics and Finance, Finance and Artificial Intelligence, having authored 24 papers that have together received 717 indexed citations. Recurring topics across this work include Quantum Information and Cryptography (11 papers), Quantum Mechanics and Applications (9 papers) and Quantum Computing Algorithms and Architecture (9 papers). The work is most often cited by research in Artificial Intelligence (518 citations), Atomic and Molecular Physics, and Optics (503 citations) and Finance (74 citations). Carolina Alves has collaborated with scholars based in United Kingdom, Singapore and Poland. Frequent co-authors include Artur Ekert, Paweł Horodecki, Daniel K. L. Oi, L. C. Kwek, Michał Horodecki, Dieter Jaksch, Fabio Antonio Bovino, Alexander V. Sergienko, Giuseppe Castagnoli and Ingrid Harvold Kvangraven. Their work appears in journals such as Physical Review Letters, SHILAP Revista de lepidopterología and Physical Review A.
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.