Natalia Ares

1.0k total citations
30 papers, 567 citations indexed

About

Natalia Ares is a scholar working on Atomic and Molecular Physics, and Optics, Electrical and Electronic Engineering and Artificial Intelligence. According to data from OpenAlex, Natalia Ares has authored 30 papers receiving a total of 567 indexed citations (citations by other indexed papers that have themselves been cited), including 23 papers in Atomic and Molecular Physics, and Optics, 15 papers in Electrical and Electronic Engineering and 9 papers in Artificial Intelligence. Recurrent topics in Natalia Ares's work include Quantum and electron transport phenomena (15 papers), Advancements in Semiconductor Devices and Circuit Design (10 papers) and Mechanical and Optical Resonators (8 papers). Natalia Ares is often cited by papers focused on Quantum and electron transport phenomena (15 papers), Advancements in Semiconductor Devices and Circuit Design (10 papers) and Mechanical and Optical Resonators (8 papers). Natalia Ares collaborates with scholars based in United Kingdom, Switzerland and Spain. Natalia Ares's co-authors include E. A. Laird, G. Andrew D. Briggs, Florian Vigneau, Diego A. Wisniacki, L. I. Glazman, Matthias Mergenthaler, Yutian Wen, Georgios Katsaros, Oliver G. Schmidt and Vitaly N. Golovach and has published in prestigious journals such as Physical Review Letters, Nature Communications and Applied Physics Letters.

In The Last Decade

Natalia Ares

26 papers receiving 559 citations

Peers

Natalia Ares
Comparison fields: 5 of 51
  • Atomic and Molecular Physics, and Optics 434
  • Artificial Intelligence 219
  • Electrical and Electronic Engineering 212
  • Materials Chemistry 75
  • Statistical and Nonlinear Physics 62
Replace Yue Ban with:
Yue Ban Spain
Alexey Galda United States
Markus Rambach Australia
Daniel Malz Germany
Dany Lachance-Quirion Canada
Kenta Takata Japan
M. Blaauboer Netherlands
Sajant Anand United States
Frederico Martins France
Yue Ban Spain View profile →
Citations per field, relative to Natalia Ares
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Citations per year, relative to Natalia Ares
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Countries citing papers authored by Natalia Ares

Since Specialization
Citations

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

Fields of papers citing papers by Natalia Ares

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Natalia Ares

This figure shows the co-authorship network connecting the top 25 collaborators of Natalia Ares. A scholar is included among the top collaborators of Natalia Ares 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 Natalia Ares. Natalia Ares 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
# Work Indexed citations
1 0
2 5
3 0
4 0
5 3
6 4
7 57
8 1
9 7
10 32
11
Deep reinforcement learning for efficient measurement of quantum devices
25
12 56
13 18
14 8
15 1
16 48
17 8
18 42
19 11
20 27

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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