Dardo Goyeneche
- Artificial Intelligence top 5%
- Atomic and Molecular Physics, and Optics top 10%
- Computational Theory and Mathematics top 10%
- Electrical and Electronic Engineering
- Statistical and Nonlinear Physics top 10%
- Co-authors
- Karol ŻyczkowskiJosé I. LatorreDaniel Arriscado AlsinaArnau RieraAlicia TorreAlba Cervera-LiertaA. DelgadoGustavo Cañas
- Topics
- Quantum Information and Cryptography (13 papers)Quantum Computing Algorithms and Architecture (9 papers)Quantum Mechanics and Applications (7 papers)
- Journals
- Physical Review LettersSHILAP Revista de lepidopterologíaPhysical Review A
In The Last Decade
Dardo Goyeneche
21 papers receiving 435 citations
Peers
Comparison fields: 5 of 43
- Artificial Intelligence 352
- Atomic and Molecular Physics, and Optics 287
- Computational Theory and Mathematics 66
- Electrical and Electronic Engineering 54
- Statistical and Nonlinear Physics 45
Countries citing papers authored by Dardo Goyeneche
This map shows the geographic impact of Dardo Goyeneche'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 Dardo Goyeneche with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Dardo Goyeneche more than expected).
Fields of papers citing papers by Dardo Goyeneche
This network shows the impact of papers produced by Dardo Goyeneche. 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 Dardo Goyeneche. The network helps show where Dardo Goyeneche may publish in the future.
Co-authorship network of co-authors of Dardo Goyeneche
This figure shows the co-authorship network connecting the top 25 collaborators of Dardo Goyeneche. A scholar is included among the top collaborators of Dardo Goyeneche 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 Dardo Goyeneche. Dardo Goyeneche is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 10 | |
| 2 | 1 | |
| 3 | 15 | |
| 4 | 3 | |
| 5 | 21 | |
| 6 | 51 | |
| 7 | All orthogonal arrays from quantum states | 0 |
| 8 | 5 | |
| 9 | 16 | |
| 10 | 41 | |
| 11 | 99 | |
| 12 | 52 | |
| 13 | 1 | |
| 14 | 99 | |
| 15 | 2 | |
| 16 | 4 | |
| 17 | 2 | |
| 18 | DETERMINACIÓN DEL ESTADO CUÁNTICO A PARTIR DE DISTRIBUCIONES OBSERVABLES | 1 |
| 19 | 11 | |
| 20 | 16 |
About Dardo Goyeneche
Dardo Goyeneche is a scholar working on Artificial Intelligence, Atomic and Molecular Physics, and Optics and Applied Mathematics, having authored 22 papers that have together received 456 indexed citations. Recurring topics across this work include Quantum Information and Cryptography (13 papers), Quantum Computing Algorithms and Architecture (9 papers) and Quantum Mechanics and Applications (7 papers). The work is most often cited by research in Computational Mathematics (9 citations), Artificial Intelligence (352 citations) and Atomic and Molecular Physics, and Optics (287 citations). Dardo Goyeneche has collaborated with scholars based in Chile, Poland and Argentina. Frequent co-authors include Karol Życzkowski, José I. Latorre, Daniel Arriscado Alsina, Arnau Riera, Alicia Torre, Alba Cervera-Lierta, A. Delgado, Gustavo Cañas, S. Etcheverry and Guilherme B. Xavier. 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.