Guillermo Albareda

679 citations
38 papers · 355 · h-index 11

Impact in

Papers in

Guillermo Albareda

37 papers receiving 350 citations

Peers

Guillermo Albareda
Comparison fields: 5 of 45
  • Atomic and Molecular Physics, and Optics 318
  • Statistical and Nonlinear Physics 67
  • Artificial Intelligence 140
  • Spectroscopy 44
  • Structural Biology 3
Replace Patrick Zwick with:
Patrick Zwick China
Yaakov Y. Fein Austria
B. Navarro Spain
Hsing-Ta Chen United States
Hou-Dao Zhang China
Daniel Z. Rossatto Brazil
J. Eckel Germany
Dainius Kilda United Kingdom
Eli Y. Wilner United States
C. Leichtle Germany
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Citations per field
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Citations per year

Countries citing papers authored by Guillermo Albareda

Since Specialization
Citations

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

Fields of papers citing papers by Guillermo Albareda

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Guillermo Albareda, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Guillermo Albareda Line = papers co-authored together Guillermo Albareda links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 38 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201458
2 200943
3 201023
4 201420
5 201118
6 201315
7 201315
8 201514
9 201214
10
Simulating Vibronic Spectra without Born–Oppenheimer Surfaces
202113
11 202410
12
Nonadiabatic quantum dynamics without potential energy surfaces
20199
13 20229
14 20129
15 20139
16 20227
17 20087
18 20236
19 20236
20 20166

About Guillermo Albareda

Guillermo Albareda is a scholar working on Atomic and Molecular Physics, and Optics, Electrical and Electronic Engineering, Artificial Intelligence, Statistical and Nonlinear Physics and Spectroscopy, having authored 38 papers that have together received 355 indexed citations. Recurring topics across this work include Quantum and electron transport phenomena (15 papers), Advancements in Semiconductor Devices and Circuit Design (14 papers), Quantum Information and Cryptography (12 papers), Quantum Mechanics and Applications (11 papers), Spectroscopy and Quantum Chemical Studies (11 papers), Semiconductor materials and devices (7 papers), Molecular Junctions and Nanostructures (6 papers) and Advanced Chemical Physics Studies (5 papers). The work is most often cited by research in Atomic and Molecular Physics, and Optics (318 citations), Statistical and Nonlinear Physics (67 citations), Artificial Intelligence (140 citations), Spectroscopy (44 citations) and Structural Biology (3 citations). Guillermo Albareda has collaborated with scholars based in Spain, Germany and United States. Frequent co-authors include Xavier Oriols, J. Suñé, Ángel Rubio, Fabio L. Traversa, Albert Benseny, Ángel S. Sanz, J. Mompart, Josep María Bofill, Ibério de P. R. Moreira and Aaron Kelly. Their work appears in journals such as Journal of Computational Electronics, Physical Review B, Theoretical Chemistry Accounts, Physical Review Letters 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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