Fernando Quijandría

1.0k citations
28 papers · 710 indexed · h-index 16
Topics
Quantum Information and Cryptography (20 papers)Quantum and electron transport phenomena (9 papers)Mechanical and Optical Resonators (8 papers)
Partner nations
SwedenSpainJapan

In The Last Decade

Fernando Quijandría

27 papers receiving 693 citations

Peers

Fernando Quijandría
Comparison fields: 5 of 31
  • Atomic and Molecular Physics, and Optics 617
  • Artificial Intelligence 486
  • Statistical and Nonlinear Physics 99
  • Electrical and Electronic Engineering 63
  • Condensed Matter Physics 20
Replace Maxime Boissonneault with:
Maxime Boissonneault Canada
Ron Belyansky United States
Antti Vepsäläinen Finland
Steven Touzard United States
Xinsheng Tan China
Matti Silveri Finland
Peter A. Ivanov Bulgaria
A. Narla United States
Alicia J. Kollár United States
Lingzhen Guo Germany
Fernando Quijandría relative to Maxime Boissonneault Canada Maxime Boissonneault's profile →
Citations per field
00.5×2.6×
Maxime Boissonneault · 1×
Citations per year

Countries citing papers authored by Fernando Quijandría

Since Specialization
Citations

This map shows the geographic impact of Fernando Quijandría'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 Fernando Quijandría with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Fernando Quijandría more than expected).

Fields of papers citing papers by Fernando Quijandría

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Fernando Quijandría. 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 Fernando Quijandría. The network helps show where Fernando Quijandría may publish in the future.

Co-authorship network of co-authors of Fernando Quijandría

This figure shows the co-authorship network connecting the top 25 collaborators of Fernando Quijandría. A scholar is included among the top collaborators of Fernando Quijandría 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 Fernando Quijandría. Fernando Quijandría is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
#WorkIndexed citations
1 0
2 2
3 4
4 16
5 21
6 6
7 54
8 15
9 12
10 19
11 11
12 36
13 1
14 40
15 96
16 11
17
The Bose–Hubbard model with squeezed dissipation
3
18 16
19 32
20 18

About Fernando Quijandría

Fernando Quijandría is a scholar working on Atomic and Molecular Physics, and Optics, Artificial Intelligence and Statistical and Nonlinear Physics, having authored 28 papers that have together received 710 indexed citations. Recurring topics across this work include Quantum Information and Cryptography (20 papers), Quantum and electron transport phenomena (9 papers) and Mechanical and Optical Resonators (8 papers). The work is most often cited by research in Atomic and Molecular Physics, and Optics (617 citations), Artificial Intelligence (486 citations) and Statistical and Nonlinear Physics (99 citations). Fernando Quijandría has collaborated with scholars based in Sweden, Spain and Japan. Frequent co-authors include Göran Johansson, David Zueco, Carlos Sabín, C. M. Wilson, C. W. Sandbo Chang, Uta Naether, Ingrid Strandberg, A. M. Vadiraj, P. Forn-Díaz and Franco Nori. Their work appears in journals such as Physical Review Letters, Physical Review B 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.

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